πŸ€ NBA Model 2026-27 Β· paper trade Β· generated 2026-10-25 23:05 ET

How to read a card: the first sentence is the conclusion β€” who the model picks, what the book line says, and where they disagree. The numbers below are the inputs. Paper-trade phase: ratings run on 2025-26 priors + early-season noise. Rest/B2B shown and logged, not priced. Value flags are hypotheses, never bets.
Los Angeles Lakers @ Utah Jazz
Sun Oct 25 Β· 5:00 PM EDT Β· Final
Model says Los Angeles Lakers by 9.2. The book line says Los Angeles Lakers by 6.5. So the model leans Los Angeles Lakers -6.5. Total: model 236.1, book 237.5 β€” leans under.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: LAL -6.5
Total points: Under 237.5
Winner: LAL (-250) Β· 25%
🏁 Final Β· LAL 132 – UTAH 123 Β· locked pick was LAL (grading starts ~Dec 2026)
Model says
Los Angeles Lakers by 9.2 Β· win chance 75%
Model total points
236.1 (gap -1.4 vs book)
Book line (DraftKings)
spread 6.5 Β· total 237.5
moneyline -250 / +205
Model margin built from
efficiency -11.17 + home court 2.0 + rest (0.0, not priced)
-2.7 pts vs book line
Rest days
LAL 0d rest πŸ” B2B Β· UTAH 0d rest πŸ” B2B
Efficiency (net rating)
LAL +2.8 Β· UTAH -8.3
last season counts for 92%
Injury report: LAL 2 players Β· UTAH 2 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) -9.3 vs official -9.2 β€” LAL +0.6 (Adou Thiero -0.6) Β· UTAH +0.4 (Trey Alexander -0.4) Β· unknown value: Cameron Carr, Jusuf Nurkic
πŸ“– Full write-up
The model's read
The model makes Utah Jazz -9.2 (25% to win outright). DK has Los Angeles Lakers -6.5. Model-vs-line gap: -2.7 pts.
By the inputs, the margin comes from efficiency (-11.17) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: LAL 132 – UTAH 123. Graded in the Record tab β€” grading runs from game one.
Los Angeles Lakers β€” strengths & weaknesses
Los Angeles Lakers (LAL) ranks #13 at +2.8 net β€” 118.7 offense, 115.8 defense, 98.6 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third offense (118.7 pts/100)
Utah Jazz β€” strengths & weaknesses
Utah Jazz (UTAH) ranks #27 at -8.3 net β€” 113.8 offense, 122.0 defense, 102.2 pace. 2 games played; priors carry 92% of the blend.
βœ“ plays fast (102.2 pace)
βœ— bottom-third offense (113.8 pts/100)
βœ— bottom-third defense (122.0 allowed/100)
The exploitation map
Los Angeles Lakers's top-third offense (118.7 pts/100) against Utah Jazz's bottom-third defense (122.0 allowed) is the most direct exploitation on the board.
Pace clash: Utah Jazz wants it fast (102.2) while Los Angeles Lakers slows it down (98.6).
Rest gap: Los Angeles Lakers and Utah Jazz on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
The game is decided where the best offense meets the worst defense β€” that's the matchup that matters most.
The biggest swing factor is Adou Thiero (Out for Los Angeles Lakers β€” Knee Inflammation).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Los Angeles Lakers: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Utah Jazz: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Los Angeles Lakers: Adou Thiero (Out β€” Knee Inflammation (return 2026-10-27)); Cameron Carr (Out β€” Oblique Strain (return 2026-10-27)).
Utah Jazz: Trey Alexander (Out β€” Knee Bruise (return 2026-10-26)); Jusuf Nurkic (Out β€” Foot Strain (return 2026-11-04)).
Line movement
Spread steady at +6.5
Model total 236.1 vs listed 237.5 (edge -1.4) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Indiana Pacers @ Brooklyn Nets
Sun Oct 25 Β· 6:00 PM EDT Β· Final
Model says Indiana Pacers by 0.1. The book line says Indiana Pacers by 6.5. So the model leans Brooklyn Nets +6.5. Total: model 227.0, book 231.5 β€” leans under. Paper trade only β€” a test flag, not a bet.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: BKN +6.5
Total points: Under 231.5
Winner: IND (-238) Β· 50%
🏁 Final Β· IND 136 – BKN 109 Β· locked pick was BKN (grading starts ~Dec 2026)
Model says
Indiana Pacers by 0.1 Β· win chance 50%
Model total points
227.0 (gap -4.5 vs book)
Book line (DraftKings)
spread 5.5 Β· total 231.5
moneyline -218 / +180
Model margin built from
efficiency -2.12 + home court 2.0 + rest (0.0, not priced)
+5.4 pts vs book line
Rest days
IND 1d rest Β· BKN 0d rest πŸ” B2B
Efficiency (net rating)
IND -7.8 Β· BKN -9.9
last season counts for 92%
Injury report: IND 4 players Β· BKN 2 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) -2.0 vs official -0.1 β€” IND +1.9 (T.J. McConnell 0.9, Ben Sheppard -1.3, Johnny Furphy -1.4) Β· BKN βˆ’0.0 (β€”) Β· unknown value: Mikel Brown Jr., Tyler Bilodeau
πŸ“ PAPER TRADE flag: the model leans Brooklyn Nets by 5.4 pts vs the book line (5+ point bar). A test flag only β€” not a bet, not an edge.
πŸ“– Full write-up
The model's read
The model makes Brooklyn Nets -0.1 (50% to win outright). DK has Indiana Pacers -5.5. Model-vs-line gap: +5.4 pts.
By the inputs, the margin comes from efficiency (-2.12) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: IND 136 – BKN 109. Graded in the Record tab β€” grading runs from game one.
Indiana Pacers β€” strengths & weaknesses
Indiana Pacers (IND) ranks #26 at -7.8 net β€” 110.8 offense, 118.6 defense, 101.2 pace. 2 games played; priors carry 92% of the blend.
βœ“ plays fast (101.2 pace)
βœ— bottom-third offense (110.8 pts/100)
βœ— bottom-third defense (118.6 allowed/100)
Brooklyn Nets β€” strengths & weaknesses
Brooklyn Nets (BKN) ranks #28 at -9.9 net β€” 108.7 offense, 118.6 defense, 97.6 pace. 2 games played; priors carry 92% of the blend.
βœ— bottom-third offense (108.7 pts/100)
βœ— bottom-third defense (118.6 allowed/100)
The exploitation map
The worst faucet meets a leaky pipe: Indiana Pacers (110.8 pts/100) may not punish Brooklyn Nets's 118.6 allowed.
The worst faucet meets a leaky pipe: Brooklyn Nets (108.7 pts/100) may not punish Indiana Pacers's 118.6 allowed.
Pace clash: Indiana Pacers wants it fast (101.2) while Brooklyn Nets slows it down (97.6).
Rest gap: Brooklyn Nets on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
The key question is whether the weak offense can punish the leaky defense β€” usually it can't, and that decides the game.
The biggest swing factor is T.J. McConnell (Out for Indiana Pacers β€” Hamstring).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: the 6.4pt disagreement on Brooklyn Nets is the one to watch as the forward test β€” hypothesis only, never a bet.
Rest
Indiana Pacers: 1d rest
Brooklyn Nets: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Indiana Pacers: Ivica Zubac (Day-To-Day β€” Ankle Sprain (return 2026-10-26)); T.J. McConnell (Out β€” Hamstring (return 2026-10-26)); Ben Sheppard (Out β€” Knee (return 2026-12-01)); Johnny Furphy (Out β€” Knee Surgery (return 2027-01-02)).
Brooklyn Nets: Tyler Bilodeau (Out β€” Shoulder Sprain (return 2026-10-27)); Mikel Brown Jr. (Out β€” Rest (return 2026-10-27)).
Line movement
Spread steady at +5.5
Model total 227.0 vs listed 231.5 (edge -4.5) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Orlando Magic @ New York Knicks
Sun Oct 25 Β· 7:00 PM EDT Β· Final
Model says New York Knicks by 8.0. The book line says New York Knicks by 6.5. So the model leans New York Knicks -6.5. Total: model 226.9, book 224.5 β€” leans over.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: NY -6.5
Total points: Over 224.5
Winner: NY (-270) Β· 72%
🏁 Final Β· ORL 111 – NY 102 Β· locked pick was NY (grading starts ~Dec 2026)
Model says
New York Knicks by 8.0 Β· win chance 72%
Model total points
226.9 (gap +2.4 vs book)
Book line (DraftKings)
spread -6.5 Β· total 224.5
moneyline +220 / -270
Model margin built from
efficiency +6.04 + home court 2.0 + rest (0.0, not priced)
+1.5 pts vs book line
Rest days
ORL 1d rest Β· NY 1d rest
Efficiency (net rating)
ORL -0.6 Β· NY +5.6
last season counts for 92%
Injury report: ORL 4 players Β· NY 1 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +8.7 vs official +8.0 β€” ORL βˆ’0.3 (Jonathan Isaac -0.3, Paolo Banchero 1.0, Noah Penda -0.4) Β· NY +0.4 (Jose Alvarado -0.4) Β· unknown value: Izaiyah Nelson
πŸ“– Full write-up
The model's read
The model makes New York Knicks +8.0 (72% to win outright). DK has New York Knicks -6.5. Model-vs-line gap: +1.5 pts.
By the inputs, the margin comes from efficiency (+6.04) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: ORL 111 – NY 102. Graded in the Record tab β€” grading runs from game one.
Orlando Magic β€” strengths & weaknesses
Orlando Magic (ORL) ranks #19 at -0.6 net β€” 114.1 offense, 114.7 defense, 100.3 pace. 2 games played; priors carry 92% of the blend.
βœ— bottom-third offense (114.1 pts/100)
New York Knicks β€” strengths & weaknesses
New York Knicks (NY) ranks #6 at +5.6 net β€” 118.5 offense, 112.9 defense, 96.9 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third offense (118.5 pts/100)
βœ“ top-third defense (112.9 allowed/100)
The exploitation map
No clear cross-matchups by the tercile test β€” neither team's calling card lines up against the other's soft spot.
Torque's read
No single matchup dominates β€” this one is won in the margins.
The biggest swing factor is Jonathan Isaac (Out for Orlando Magic β€” Knee Not Specified).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Orlando Magic: 1d rest
New York Knicks: 1d rest
Injuries
Orlando Magic: Jonathan Isaac (Out β€” Knee Not Specified (return 2026-10-28)); Paolo Banchero (Out β€” Ankle Sprain (return 2026-11-22)); Noah Penda (Out β€” Hamstring Strain (return 2026-11-18)); Izaiyah Nelson (Out β€” Ankle Surgery (return 2026-11-18)).
New York Knicks: Jose Alvarado (Out β€” Ankle Sprain (return 2026-10-27)).
Line movement
Spread -7.5 β†’ -6.5
Model total 226.9 vs listed 224.5 (edge +2.4) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Toronto Raptors @ Minnesota Timberwolves
Sun Oct 25 Β· 7:00 PM EDT Β· Final
Model says Minnesota Timberwolves by 2.2. The book line says Minnesota Timberwolves by 3.5. So the model leans Toronto Raptors +3.5. Total: model 227.9, book 228.5 β€” leans under. The injury shadow disagrees β€” it leans Minnesota Timberwolves.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: TOR +3.5
Total points: Under 228.5
Winner: MIN (-148) Β· 57%
🏁 Final Β· TOR 94 – MIN 117 Β· locked pick was TOR (grading starts ~Dec 2026)
Model says
Minnesota Timberwolves by 2.2 Β· win chance 57%
Model total points
227.9 (gap -0.6 vs book)
Book line (DraftKings)
spread -3.5 Β· total 228.5
moneyline +140 / -166
Model margin built from
efficiency +0.24 + home court 2.0 + rest (0.0, not priced)
-1.3 pts vs book line
Rest days
TOR 1d rest Β· MIN 1d rest
Efficiency (net rating)
TOR +4.6 Β· MIN +4.9
last season counts for 92%
Injury report: TOR 2 players Β· MIN 1 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +7.1 vs official +2.2 β€” TOR βˆ’5.3 (Kawhi Leonard 5.3) Β· MIN βˆ’0.5 (Donte DiVincenzo 0.5) Β· unknown value: Nate Bittle
πŸ“– Full write-up
The model's read
The model makes Minnesota Timberwolves +2.2 (57% to win outright). DK has Minnesota Timberwolves -3.5. Model-vs-line gap: -1.3 pts.
By the inputs, the margin comes from efficiency (+0.24) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: TOR 94 – MIN 117. Graded in the Record tab β€” grading runs from game one.
Toronto Raptors β€” strengths & weaknesses
Toronto Raptors (TOR) ranks #8 at +4.6 net β€” 115.8 offense, 111.2 defense, 99.1 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third defense (111.2 allowed/100)
Minnesota Timberwolves β€” strengths & weaknesses
Minnesota Timberwolves (MIN) ranks #7 at +4.9 net β€” 117.1 offense, 112.2 defense, 100.6 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third defense (112.2 allowed/100)
βœ“ plays fast (100.6 pace)
The exploitation map
No clear cross-matchups by the tercile test β€” neither team's calling card lines up against the other's soft spot.
Torque's read
No single matchup dominates β€” this one is won in the margins.
The biggest swing factor is Kawhi Leonard (Out for Toronto Raptors β€” Knee Inflammation).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Toronto Raptors: 1d rest
Minnesota Timberwolves: 1d rest
Injuries
Toronto Raptors: Kawhi Leonard (Out β€” Knee Inflammation (return 2026-10-28)); Nate Bittle (Out β€” Foot Fracture (return 2026-10-28)).
Minnesota Timberwolves: Donte DiVincenzo (Out β€” Achilles Surgery (return 2027-04-02)).
Line movement
Spread -2.5 β†’ -3.5
Model total 227.9 vs listed 228.5 (edge -0.6) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Los Angeles Clippers @ Oklahoma City Thunder
Sun Oct 25 Β· 7:00 PM EDT Β· Final
Model says Oklahoma City Thunder by 11.3. The book line says Oklahoma City Thunder by 16.5. So the model leans Los Angeles Clippers +16.5. Total: model 224.4, book 224.5 β€” leans under. Paper trade only β€” a test flag, not a bet.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: LAC +16.5
Total points: Under 224.5
Winner: OKC (-1450) Β· 80%
🏁 Final Β· LAC 101 – OKC 108 Β· locked pick was LAC (grading starts ~Dec 2026)
Model says
Oklahoma City Thunder by 11.3 Β· win chance 80%
Model total points
224.4 (gap +0.9 vs book)
Book line (DraftKings)
spread -16.5 Β· total 223.5
moneyline +800 / -1350
Model margin built from
efficiency +9.33 + home court 2.0 + rest (0.0, not priced)
-5.2 pts vs book line
Rest days
LAC 0d rest πŸ” B2B Β· OKC 1d rest
Efficiency (net rating)
LAC +1.8 Β· OKC +11.3
last season counts for 92%
Injury report: LAC 0 players Β· OKC 4 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +11.2 vs official +11.3 β€” LAC βˆ’0.0 (β€”) Β· OKC βˆ’0.2 (Cason Wallace 0.2) Β· unknown value: Nikola Topic, Otega Oweh, Thomas Sorber
πŸ“ PAPER TRADE flag: the model leans Los Angeles Clippers by 5.2 pts vs the book line (5+ point bar). A test flag only β€” not a bet, not an edge.
πŸ“– Full write-up
The model's read
The model makes Oklahoma City Thunder +11.3 (80% to win outright). DK has Oklahoma City Thunder -16.5. Model-vs-line gap: -5.2 pts.
By the inputs, the margin comes from efficiency (+9.33) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: LAC 101 – OKC 108. Graded in the Record tab β€” grading runs from game one.
Los Angeles Clippers β€” strengths & weaknesses
Los Angeles Clippers (LAC) ranks #14 at +1.8 net β€” 117.2 offense, 115.4 defense, 97.0 pace. 2 games played; priors carry 92% of the blend.
No clear strengths or weaknesses by the tercile test β€” a league-average profile.
Oklahoma City Thunder β€” strengths & weaknesses
Oklahoma City Thunder (OKC) ranks #1 at +11.3 net β€” 118.0 offense, 106.8 defense, 99.2 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third offense (118.0 pts/100)
βœ“ top-third defense (106.8 allowed/100)
The exploitation map
Rest gap: Los Angeles Clippers on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
Rest is the story tonight β€” a back-to-back against fresh legs, and the model's 0.0 rest price is the thing to be honest about.
The biggest swing factor is Otega Oweh (Out for Oklahoma City Thunder β€” Achilles Surgery).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: the 5.2pt disagreement on Los Angeles Clippers is the one to watch as the forward test β€” hypothesis only, never a bet.
Rest
Los Angeles Clippers: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Oklahoma City Thunder: 1d rest
Injuries
Oklahoma City Thunder: Cason Wallace (Day-To-Day β€” Shoulder (return 2026-10-25)); Otega Oweh (Out β€” Achilles Surgery (return 2027-07-01)); Nikola Topic (Out β€” Back Surgery (return 2026-10-26)); Thomas Sorber (Out β€” Knee Surgery (return 2026-10-26)).
Line movement
Spread -14.5 β†’ -16.5
Model total 224.4 vs listed 223.5 (edge +0.9) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Detroit Pistons @ Philadelphia 76ers
Sun Oct 25 Β· 7:30 PM EDT Β· Final
Model says Detroit Pistons by 5.7. The book line says Detroit Pistons by 1.5. So the model leans Detroit Pistons -1.5. Total: model 227.9, book 228.5 β€” leans under.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: DET -1.5
Total points: Under 228.5
Winner: DET (-125) Β· 34%
🏁 Final Β· DET 106 – PHI 93 Β· locked pick was DET (grading starts ~Dec 2026)
Model says
Detroit Pistons by 5.7 Β· win chance 66%
Model total points
227.9 (gap -0.6 vs book)
Book line (DraftKings)
spread 1.5 Β· total 228.5
moneyline -130 / +110
Model margin built from
efficiency -7.67 + home court 2.0 + rest (0.0, not priced)
-4.2 pts vs book line
Rest days
DET 0d rest πŸ” B2B Β· PHI 0d rest πŸ” B2B
Efficiency (net rating)
DET +8.5 Β· PHI +0.9
last season counts for 88%
Injury report: DET 3 players Β· PHI 6 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) -2.0 vs official -5.7 β€” DET βˆ’4.9 (Isaiah Joe 0.3, Ausar Thompson 1.7, Jalen Duren 2.9) Β· PHI βˆ’1.2 (VJ Edgecombe -0.4, Jabari Walker -0.7, Joel Embiid 3.2, Dominick Barlow -0.6, Ariel Hukporti -0.4) Β· unknown value: Tacko Fall
πŸ“– Full write-up
The model's read
The model makes Philadelphia 76ers -5.7 (34% to win outright). DK has Detroit Pistons -1.5. Model-vs-line gap: -4.2 pts.
By the inputs, the margin comes from efficiency (-7.67) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: DET 106 – PHI 93. Graded in the Record tab β€” grading runs from game one.
Detroit Pistons β€” strengths & weaknesses
Detroit Pistons (DET) ranks #2 at +8.5 net β€” 118.3 offense, 109.8 defense, 99.5 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third offense (118.3 pts/100)
βœ“ top-third defense (109.8 allowed/100)
Philadelphia 76ers β€” strengths & weaknesses
Philadelphia 76ers (PHI) ranks #16 at +0.9 net β€” 114.6 offense, 113.7 defense, 100.3 pace. 3 games played; priors carry 88% of the blend.
No clear strengths or weaknesses by the tercile test β€” a league-average profile.
The exploitation map
Rest gap: Detroit Pistons and Philadelphia 76ers on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
Rest is the story tonight β€” a back-to-back against fresh legs, and the model's 0.0 rest price is the thing to be honest about.
The biggest swing factor is Ausar Thompson (Out for Detroit Pistons β€” Ankle Sprain).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: a mild lean at best β€” under the 5pt bar, not a play.
Rest
Detroit Pistons: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Philadelphia 76ers: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Detroit Pistons: Isaiah Joe (Day-To-Day β€” Lower Body (return 2026-10-25)); Ausar Thompson (Out β€” Ankle Sprain (return 2026-10-27)); Jalen Duren (Out β€” Hamstring Strain (return 2026-11-09)).
Philadelphia 76ers: VJ Edgecombe (Out β€” Abdomen Bruise (return 2026-10-28)); Tacko Fall (Out β€” Quadriceps Strain (return 2026-10-28)); Jabari Walker (Out β€” Knee Soreness (return 2026-10-28)); Joel Embiid (Out β€” Heel (return 2026-10-28)).
Line movement
Spread -2.5 β†’ +1.5
Model total 227.9 vs listed 228.5 (edge -0.6) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Memphis Grizzlies @ Sacramento Kings
Sun Oct 25 Β· 9:00 PM EDT Β· 9:39 - 4th
Model says Memphis Grizzlies by 4.1. The book line says Memphis Grizzlies by 3.5. So the model leans Memphis Grizzlies -3.5. Total: model 232.4, book 234.5 β€” leans under. The injury shadow disagrees β€” it leans Sacramento Kings.
🎯 Model pick Β· πŸ”’ locked pick
Against the spread: MEM -3.5
Total points: Under 234.5
Winner: MEM (-175) Β· 38%
πŸ”’ Locked 8:34 PM ET
Locked pick: spread MEM vs DK 3.5 Β· total under (model 232.4 vs 234.5) Β· ML MEM (38%)
Model says
Memphis Grizzlies by 4.1 Β· win chance 62%
Model total points
232.4 (gap -2.1 vs book)
Book line (DraftKings)
spread 3.5 Β· total 234.5
moneyline -180 / +150
Model margin built from
efficiency -6.09 + home court 2.0 + rest (0.0, not priced)
-0.6 pts vs book line
Rest days
MEM 0d rest πŸ” B2B Β· SAC 0d rest πŸ” B2B
Efficiency (net rating)
MEM -4.5 Β· SAC -10.6
last season counts for 92%
Injury report: MEM 2 players Β· SAC 4 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +0.6 vs official -4.1 β€” MEM βˆ’0.3 (Zach Edey 0.3) Β· SAC +4.4 (Keegan Murray -2.2, Dylan Cardwell -0.8, Maxime Raynaud -1.3) Β· unknown value: Ben Simmons, Karim Lopez
πŸ“– Full write-up
The model's read
The model makes Sacramento Kings -4.1 (38% to win outright). DK has Memphis Grizzlies -3.5. Model-vs-line gap: -0.6 pts.
By the inputs, the margin comes from efficiency (-6.09) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
πŸ”’ Locked 8:34 PM ET: spread MEM vs DK 3.5 Β· total under Β· ML MEM (38%).
Memphis Grizzlies β€” strengths & weaknesses
Memphis Grizzlies (MEM) ranks #22 at -4.5 net β€” 113.2 offense, 117.8 defense, 101.2 pace. 2 games played; priors carry 92% of the blend.
βœ“ plays fast (101.2 pace)
βœ— bottom-third offense (113.2 pts/100)
βœ— bottom-third defense (117.8 allowed/100)
Sacramento Kings β€” strengths & weaknesses
Sacramento Kings (SAC) ranks #30 at -10.6 net β€” 110.9 offense, 121.5 defense, 99.5 pace. 2 games played; priors carry 92% of the blend.
βœ— bottom-third offense (110.9 pts/100)
βœ— bottom-third defense (121.5 allowed/100)
The exploitation map
The worst faucet meets a leaky pipe: Memphis Grizzlies (113.2 pts/100) may not punish Sacramento Kings's 121.5 allowed.
The worst faucet meets a leaky pipe: Sacramento Kings (110.9 pts/100) may not punish Memphis Grizzlies's 117.8 allowed.
Rest gap: Memphis Grizzlies and Sacramento Kings on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
The key question is whether the weak offense can punish the leaky defense β€” usually it can't, and that decides the game.
The biggest swing factor is Karim Lopez (Out for Memphis Grizzlies β€” Knee Bruise).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Memphis Grizzlies: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Sacramento Kings: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Memphis Grizzlies: Karim Lopez (Out β€” Knee Bruise (return 2026-10-26)); Zach Edey (Out β€” Ankle (return 2026-10-26)).
Sacramento Kings: Keegan Murray (Out β€” Ankle (return 2026-10-27)); Ben Simmons (Out β€” Achilles Surgery (return 2027-10-01)); Dylan Cardwell (Out β€” Calf Strain (return 2026-11-02)); Maxime Raynaud (Out β€” Knee Dislocated (return 2026-11-02)).
Line movement
Spread steady at +3.5
Model total 232.4 vs listed 234.5 (edge -2.1) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Washington Wizards @ Charlotte Hornets
Mon Oct 26 Β· 7:00 PM EDT Β· 10/26 - 7:00 PM EDT
Model says Charlotte Hornets by 15.0. The book line says Charlotte Hornets by 2.5. So the model leans Charlotte Hornets -2.5. Total: model 230.9, book 229.5 β€” leans over. Paper trade only β€” a test flag, not a bet.
🎯 Model pick · ⏳ Locks at 6:30 PM ET
Against the spread: CHA -2.5
Total points: Over 229.5
Winner: CHA (-130) Β· 87%
⏳ Locks at 6:30 PM ET
Model says
Charlotte Hornets by 15.0 Β· win chance 87%
Model total points
230.9 (gap +1.4 vs book)
Book line (DraftKings)
spread -2.5 Β· total 229.5
moneyline +110 / -130
Model margin built from
efficiency +13.00 + home court 2.0 + rest (0.0, not priced)
+12.5 pts vs book line
Rest days
WSH 0d rest πŸ” B2B Β· CHA 1d rest
Efficiency (net rating)
WSH -10.1 Β· CHA +3.0
last season counts for 88%
Injury report: WSH 3 players Β· CHA 4 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +11.8 vs official +15.0 β€” WSH +1.4 (Jamir Watkins -1.4) Β· CHA βˆ’1.8 (Kon Knueppel 1.8, Coby White -0.7, Grant Williams 0.7) Β· unknown value: AJ Dybantsa, Kylan Boswell
πŸ“ PAPER TRADE flag: the model leans Charlotte Hornets by 12.5 pts vs the book line (5+ point bar). A test flag only β€” not a bet, not an edge.
πŸ“– Full write-up
The model's read
The model makes Charlotte Hornets +15.0 (87% to win outright). DK has Charlotte Hornets -2.5. Model-vs-line gap: +12.5 pts.
By the inputs, the margin comes from efficiency (+13.00) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS CHA; Locks at 6:30 PM ET.
Washington Wizards β€” strengths & weaknesses
Washington Wizards (WSH) ranks #29 at -10.1 net β€” 111.2 offense, 121.3 defense, 101.8 pace. 3 games played; priors carry 88% of the blend.
βœ“ plays fast (101.8 pace)
βœ— bottom-third offense (111.2 pts/100)
βœ— bottom-third defense (121.3 allowed/100)
Charlotte Hornets β€” strengths & weaknesses
Charlotte Hornets (CHA) ranks #12 at +3.0 net β€” 117.3 offense, 114.3 defense, 97.2 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third offense (117.3 pts/100)
The exploitation map
Charlotte Hornets's top-third offense (117.3 pts/100) against Washington Wizards's bottom-third defense (121.3 allowed) is the most direct exploitation on the board.
Pace clash: Washington Wizards wants it fast (101.8) while Charlotte Hornets slows it down (97.2).
Rest gap: Washington Wizards on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
The game is decided where the best offense meets the worst defense β€” that's the matchup that matters most.
The biggest swing factor is AJ Dybantsa (Out for Washington Wizards β€” Ankle Sprain).
Verdict: the 12.5pt disagreement on Charlotte Hornets is the one to watch as the forward test β€” hypothesis only, never a bet.
Rest
Washington Wizards: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Charlotte Hornets: 1d rest
Injuries
Washington Wizards: AJ Dybantsa (Out β€” Ankle Sprain (return 2026-10-28)); Tristan Vukcevic (Out β€” Hip Pinched Nerve (return 2026-11-02)); Jamir Watkins (Out β€” Knee Surgery (return 2027-04-02)).
Charlotte Hornets: Kon Knueppel (Out β€” Hamstring (return 2026-10-28)); Coby White (Out β€” Calf Strain (return 2026-10-28)); Grant Williams (Out β€” Hamstring (return 2026-10-30)); Kylan Boswell (Out β€” Knee Surgery (return 2026-11-02)).
Line movement
Spread steady at -2.5
Model total 230.9 vs listed 229.5 (edge +1.4) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Minnesota Timberwolves @ Cleveland Cavaliers
Mon Oct 26 Β· 7:00 PM EDT Β· 10/26 - 7:00 PM EDT
Model says Cleveland Cavaliers by 0.7. The book line says Cleveland Cavaliers by 3.5. So the model leans Minnesota Timberwolves +3.5. Total: model 232.4, book 232.5 β€” leans under. Locks at 6:30 PM ET.
🎯 Model pick · ⏳ Locks at 6:30 PM ET
Against the spread: MIN +3.5
Total points: Under 232.5
Winner: CLE (-166) Β· 52%
⏳ Locks at 6:30 PM ET
Model says
Cleveland Cavaliers by 0.7 Β· win chance 52%
Model total points
232.4 (gap -0.1 vs book)
Book line (DraftKings)
spread -3.5 Β· total 232.5
moneyline +140 / -166
Model margin built from
efficiency -1.26 + home court 2.0 + rest (0.0, not priced)
-2.8 pts vs book line
Rest days
MIN 0d rest πŸ” B2B Β· CLE 1d rest
Efficiency (net rating)
MIN +4.9 Β· CLE +3.6
last season counts for 92%
Injury report: MIN 1 players Β· CLE 0 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +1.2 vs official +0.7 β€” MIN βˆ’0.5 (Donte DiVincenzo 0.5) Β· CLE βˆ’0.0 (β€”)
πŸ“– Full write-up
The model's read
The model makes Cleveland Cavaliers +0.7 (52% to win outright). DK has Cleveland Cavaliers -3.5. Model-vs-line gap: -2.8 pts.
By the inputs, the margin comes from efficiency (-1.26) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS MIN; Locks at 6:30 PM ET.
Minnesota Timberwolves β€” strengths & weaknesses
Minnesota Timberwolves (MIN) ranks #7 at +4.9 net β€” 117.1 offense, 112.2 defense, 100.6 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third defense (112.2 allowed/100)
βœ“ plays fast (100.6 pace)
Cleveland Cavaliers β€” strengths & weaknesses
Cleveland Cavaliers (CLE) ranks #11 at +3.6 net β€” 118.2 offense, 114.6 defense, 100.6 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third offense (118.2 pts/100)
βœ“ plays fast (100.6 pace)
The exploitation map
Cleveland Cavaliers's elite offense runs into Minnesota Timberwolves's lockdown defense β€” strength on strength.
Rest gap: Minnesota Timberwolves on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
Strength on strength decides this one β€” the elite-offense-vs-lockdown-defense battle is the game.
The biggest swing factor is Donte DiVincenzo (Out for Minnesota Timberwolves β€” Achilles Surgery).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Minnesota Timberwolves: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Cleveland Cavaliers: 1d rest
Injuries
Minnesota Timberwolves: Donte DiVincenzo (Out β€” Achilles Surgery (return 2027-04-02)).
Line movement
Spread -4.5 β†’ -3.5
Model total 232.4 vs listed 232.5 (edge -0.1) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Chicago Bulls @ Boston Celtics
Mon Oct 26 Β· 7:30 PM EDT Β· 10/26 - 7:30 PM EDT
Model says Boston Celtics by 15.1. The book line says Boston Celtics by 13.5. So the model leans Boston Celtics -13.5. Total: model 229.6, book 233.5 β€” leans under. Locks at 7:00 PM ET.
🎯 Model pick · ⏳ Locks at 7:00 PM ET
Against the spread: BOS -13.5
Total points: Under 233.5
Winner: BOS (-850) Β· 87%
⏳ Locks at 7:00 PM ET
Model says
Boston Celtics by 15.1 Β· win chance 87%
Model total points
229.6 (gap -3.9 vs book)
Book line (DraftKings)
spread -13.5 Β· total 233.5
moneyline +575 / -850
Model margin built from
efficiency +13.12 + home court 2.0 + rest (0.0, not priced)
+1.6 pts vs book line
Rest days
CHI 0d rest πŸ” B2B Β· BOS 2d rest
Efficiency (net rating)
CHI -6.0 Β· BOS +7.3
last season counts for 92%
Injury report: CHI 3 players Β· BOS 1 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +15.8 vs official +15.1 β€” CHI +0.3 (Patrick Williams -0.5, Noa Essengue -0.4, Nic Claxton 0.5) Β· BOS +1.0 (Devin Carter -1.0)
πŸ“– Full write-up
The model's read
The model makes Boston Celtics +15.1 (87% to win outright). DK has Boston Celtics -13.5. Model-vs-line gap: +1.6 pts.
By the inputs, the margin comes from efficiency (+13.12) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS BOS; Locks at 7:00 PM ET.
Chicago Bulls β€” strengths & weaknesses
Chicago Bulls (CHI) ranks #24 at -6.0 net β€” 112.2 offense, 118.2 defense, 103.1 pace. 3 games played; priors carry 88% of the blend.
βœ“ plays fast (103.1 pace)
βœ— bottom-third offense (112.2 pts/100)
βœ— bottom-third defense (118.2 allowed/100)
Boston Celtics β€” strengths & weaknesses
Boston Celtics (BOS) ranks #4 at +7.3 net β€” 120.4 offense, 113.1 defense, 94.8 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third offense (120.4 pts/100)
βœ“ top-third defense (113.1 allowed/100)
The exploitation map
Boston Celtics's top-third offense (120.4 pts/100) against Chicago Bulls's bottom-third defense (118.2 allowed) is the most direct exploitation on the board.
Pace clash: Chicago Bulls wants it fast (103.1) while Boston Celtics slows it down (94.8).
Rest gap: Chicago Bulls on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
The game is decided where the best offense meets the worst defense β€” that's the matchup that matters most.
The biggest swing factor is Nic Claxton (Out for Chicago Bulls β€” Hamstring).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Chicago Bulls: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Boston Celtics: 2d rest
Injuries
Chicago Bulls: Patrick Williams (Day-To-Day β€” Groin Soreness (return 2026-10-26)); Noa Essengue (Day-To-Day β€” Head Bruise (return 2026-10-26)); Nic Claxton (Out β€” Hamstring (return 2026-11-04)).
Boston Celtics: Devin Carter (Out β€” Illness (return 2026-11-08)).
Line movement
Spread steady at -13.5
Model total 229.6 vs listed 233.5 (edge -3.9) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Dallas Mavericks @ Miami Heat
Mon Oct 26 Β· 7:30 PM EDT Β· 10/26 - 7:30 PM EDT
Model says Miami Heat by 7.6. The book line says Miami Heat by 8.5. So the model leans Dallas Mavericks +8.5. Total: model 234.9, book 235.5 β€” leans under. The injury shadow disagrees β€” it leans Miami Heat. Locks at 7:00 PM ET.
🎯 Model pick · ⏳ Locks at 7:00 PM ET
Against the spread: DAL +8.5
Total points: Under 235.5
Winner: MIA (-325) Β· 71%
⏳ Locks at 7:00 PM ET
Model says
Miami Heat by 7.6 Β· win chance 71%
Model total points
234.9 (gap -0.6 vs book)
Book line (DraftKings)
spread -8.5 Β· total 235.5
moneyline +260 / -325
Model margin built from
efficiency +5.63 + home court 2.0 + rest (0.0, not priced)
-0.9 pts vs book line
Rest days
DAL 0d rest πŸ” B2B Β· MIA 1d rest
Efficiency (net rating)
DAL -5.4 Β· MIA +0.1
last season counts for 88%
Injury report: DAL 6 players Β· MIA 0 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +8.8 vs official +7.6 β€” DAL βˆ’1.1 (Caleb Martin -0.7, Cooper Flagg 1.0, Naji Marshall -0.4, Santi Aldama 1.0, Dereck Lively II 0.2) Β· MIA βˆ’0.0 (β€”) Β· unknown value: Tarik Biberovic
πŸ“– Full write-up
The model's read
The model makes Miami Heat +7.6 (71% to win outright). DK has Miami Heat -8.5. Model-vs-line gap: -0.9 pts.
By the inputs, the margin comes from efficiency (+5.63) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS DAL; Locks at 7:00 PM ET.
Dallas Mavericks β€” strengths & weaknesses
Dallas Mavericks (DAL) ranks #23 at -5.4 net β€” 111.2 offense, 116.6 defense, 101.6 pace. 3 games played; priors carry 88% of the blend.
βœ“ plays fast (101.6 pace)
βœ— bottom-third offense (111.2 pts/100)
Miami Heat β€” strengths & weaknesses
Miami Heat (MIA) ranks #17 at +0.1 net β€” 115.4 offense, 115.2 defense, 103.4 pace. 3 games played; priors carry 88% of the blend.
βœ“ plays fast (103.4 pace)
The exploitation map
Rest gap: Dallas Mavericks on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
Rest is the story tonight β€” a back-to-back against fresh legs, and the model's 0.0 rest price is the thing to be honest about.
The biggest swing factor is Caleb Martin (Out for Dallas Mavericks β€” Thumb Sprain).
Verdict: nothing clears the bar β€” the price is the game.
Rest
Dallas Mavericks: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Miami Heat: 1d rest
Injuries
Dallas Mavericks: Caleb Martin (Out β€” Thumb Sprain (return 2026-10-26)); Cooper Flagg (Out β€” Shoulder Sprain (return 2026-10-26)); Naji Marshall (Out β€” Illness (return 2026-10-28)); Tarik Biberovic (Out β€” Heel Inflammation (return 2026-11-02)).
Line movement
Spread -7.5 β†’ -8.5
Model total 234.9 vs listed 235.5 (edge -0.6) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Indiana Pacers @ Milwaukee Bucks
Mon Oct 26 Β· 8:00 PM EDT Β· 10/26 - 8:00 PM EDT
Model says Milwaukee Bucks by 3.0. The book line says Indiana Pacers by 4.5. So the model leans Milwaukee Bucks +4.5. Total: model 230.7, book 239.5 β€” leans under. Paper trade only β€” a test flag, not a bet.
🎯 Model pick · ⏳ Locks at 7:30 PM ET
Against the spread: MIL +4.5
Total points: Under 239.5
Winner: MIL (+142) Β· 59%
⏳ Locks at 7:30 PM ET
Model says
Milwaukee Bucks by 3.0 Β· win chance 59%
Model total points
230.7 (gap -8.8 vs book)
Book line (DraftKings)
spread 4.5 Β· total 239.5
moneyline -170 / +142
Model margin built from
efficiency +1.01 + home court 2.0 + rest (0.0, not priced)
+7.5 pts vs book line
Rest days
IND 0d rest πŸ” B2B Β· MIL 1d rest
Efficiency (net rating)
IND -7.8 Β· MIL -6.8
last season counts for 88%
Injury report: IND 4 players Β· MIL 0 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +1.1 vs official +3.0 β€” IND +1.9 (T.J. McConnell 0.9, Ben Sheppard -1.3, Johnny Furphy -1.4) Β· MIL βˆ’0.0 (β€”)
πŸ“ PAPER TRADE flag: the model leans Milwaukee Bucks by 7.5 pts vs the book line (5+ point bar). A test flag only β€” not a bet, not an edge.
πŸ“– Full write-up
The model's read
The model makes Milwaukee Bucks +3.0 (59% to win outright). DK has Indiana Pacers -4.5. Model-vs-line gap: +7.5 pts.
By the inputs, the margin comes from efficiency (+1.01) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS MIL; Locks at 7:30 PM ET.
Indiana Pacers β€” strengths & weaknesses
Indiana Pacers (IND) ranks #26 at -7.8 net β€” 110.8 offense, 118.6 defense, 101.2 pace. 2 games played; priors carry 92% of the blend.
βœ“ plays fast (101.2 pace)
βœ— bottom-third offense (110.8 pts/100)
βœ— bottom-third defense (118.6 allowed/100)
Milwaukee Bucks β€” strengths & weaknesses
Milwaukee Bucks (MIL) ranks #25 at -6.8 net β€” 112.9 offense, 119.6 defense, 98.6 pace. 3 games played; priors carry 88% of the blend.
βœ— bottom-third offense (112.9 pts/100)
βœ— bottom-third defense (119.6 allowed/100)
The exploitation map
The worst faucet meets a leaky pipe: Indiana Pacers (110.8 pts/100) may not punish Milwaukee Bucks's 119.6 allowed.
The worst faucet meets a leaky pipe: Milwaukee Bucks (112.9 pts/100) may not punish Indiana Pacers's 118.6 allowed.
Pace clash: Indiana Pacers wants it fast (101.2) while Milwaukee Bucks slows it down (98.6).
Rest gap: Indiana Pacers on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
The key question is whether the weak offense can punish the leaky defense β€” usually it can't, and that decides the game.
The biggest swing factor is T.J. McConnell (Out for Indiana Pacers β€” Hamstring).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: the 7.5pt disagreement on Milwaukee Bucks is the one to watch as the forward test β€” hypothesis only, never a bet.
Rest
Indiana Pacers: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Milwaukee Bucks: 1d rest
Injuries
Indiana Pacers: Ivica Zubac (Day-To-Day β€” Ankle Sprain (return 2026-10-26)); T.J. McConnell (Out β€” Hamstring (return 2026-10-26)); Ben Sheppard (Out β€” Knee (return 2026-12-01)); Johnny Furphy (Out β€” Knee Surgery (return 2027-01-02)).
Line movement
Spread steady at +4.5
Model total 230.7 vs listed 239.5 (edge -8.8) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Phoenix Suns @ Oklahoma City Thunder
Mon Oct 26 Β· 8:00 PM EDT Β· 10/26 - 8:00 PM EDT
Model says Oklahoma City Thunder by 13.0. No book line yet.
🎯 Model pick · ⏳ Locks at 7:30 PM ET
Against the spread: PHX
Total points: Under β€”
Winner: OKC (β€”) Β· 83%
⏳ Locks at 7:30 PM ET
Model says
Oklahoma City Thunder by 13.0 Β· win chance 83%
Model total points
222.8 (gap β€” vs book)
Book line (DraftKings)
spread β€” Β· total β€”
moneyline β€” / β€”
Model margin built from
efficiency +10.97 + home court 2.0 + rest (0.0, not priced)
no line yet
Rest days
PHX 0d rest πŸ” B2B Β· OKC 0d rest πŸ” B2B
Efficiency (net rating)
PHX +0.1 Β· OKC +11.3
last season counts for 92%
Injury report: PHX 2 players Β· OKC 4 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +13.8 vs official +13.0 β€” PHX βˆ’1.0 (Mark Williams 1.0) Β· OKC βˆ’0.2 (Cason Wallace 0.2) Β· unknown value: Nikola Topic, Otega Oweh, Thomas Sorber
πŸ“– Full write-up
The model's read
The model makes Oklahoma City Thunder +13.0 (83% to win outright).
By the inputs, the margin comes from efficiency (+10.97) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS PHX; Locks at 7:30 PM ET.
Phoenix Suns β€” strengths & weaknesses
Phoenix Suns (PHX) ranks #18 at +0.1 net β€” 114.8 offense, 114.7 defense, 97.0 pace. 2 games played; priors carry 92% of the blend.
No clear strengths or weaknesses by the tercile test β€” a league-average profile.
Oklahoma City Thunder β€” strengths & weaknesses
Oklahoma City Thunder (OKC) ranks #1 at +11.3 net β€” 118.0 offense, 106.8 defense, 99.2 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third offense (118.0 pts/100)
βœ“ top-third defense (106.8 allowed/100)
The exploitation map
Rest gap: Phoenix Suns and Oklahoma City Thunder on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
Rest is the story tonight β€” a back-to-back against fresh legs, and the model's 0.0 rest price is the thing to be honest about.
The biggest swing factor is Mark Williams (Out for Phoenix Suns β€” Shoulder Surgery).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Phoenix Suns: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Oklahoma City Thunder: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Phoenix Suns: Oso Ighodaro (Day-To-Day β€” Oblique Strain (return 2026-10-26)); Mark Williams (Out β€” Shoulder Surgery (return 2027-02-03)).
Oklahoma City Thunder: Cason Wallace (Day-To-Day β€” Shoulder (return 2026-10-25)); Otega Oweh (Out β€” Achilles Surgery (return 2027-07-01)); Nikola Topic (Out β€” Back Surgery (return 2026-10-26)); Thomas Sorber (Out β€” Knee Surgery (return 2026-10-26)).
Line movement
No opener captured yet today.
Atlanta Hawks @ Houston Rockets
Mon Oct 26 Β· 8:30 PM EDT Β· 10/26 - 8:30 PM EDT
Model says Houston Rockets by 4.0. The book line says Houston Rockets by 5.5. So the model leans Atlanta Hawks +5.5. Total: model 228.8, book 229.5 β€” leans under. Locks at 8:00 PM ET.
🎯 Model pick · ⏳ Locks at 8:00 PM ET
Against the spread: ATL +5.5
Total points: Under 229.5
Winner: HOU (-218) Β· 62%
⏳ Locks at 8:00 PM ET
Model says
Houston Rockets by 4.0 Β· win chance 62%
Model total points
228.8 (gap -0.7 vs book)
Book line (DraftKings)
spread -5.5 Β· total 229.5
moneyline +180 / -218
Model margin built from
efficiency +1.95 + home court 2.0 + rest (0.0, not priced)
-1.6 pts vs book line
Rest days
ATL 0d rest πŸ” B2B Β· HOU 0d rest πŸ” B2B
Efficiency (net rating)
ATL +4.0 Β· HOU +5.9
last season counts for 88%
Injury report: ATL 2 players Β· HOU 2 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +4.1 vs official +4.0 β€” ATL +0.4 (Mouhamed Gueye -0.4) Β· HOU +0.6 (Marcus Smart -0.3, Steven Adams -0.2) Β· unknown value: Henri Veesaar
πŸ“– Full write-up
The model's read
The model makes Houston Rockets +4.0 (62% to win outright). DK has Houston Rockets -5.5. Model-vs-line gap: -1.6 pts.
By the inputs, the margin comes from efficiency (+1.95) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS ATL; Locks at 8:00 PM ET.
Atlanta Hawks β€” strengths & weaknesses
Atlanta Hawks (ATL) ranks #10 at +4.0 net β€” 116.8 offense, 112.8 defense, 101.8 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third defense (112.8 allowed/100)
βœ“ plays fast (101.8 pace)
Houston Rockets β€” strengths & weaknesses
Houston Rockets (HOU) ranks #5 at +5.9 net β€” 119.1 offense, 113.2 defense, 96.4 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third offense (119.1 pts/100)
βœ“ top-third defense (113.2 allowed/100)
The exploitation map
Houston Rockets's elite offense runs into Atlanta Hawks's lockdown defense β€” strength on strength.
Pace clash: Atlanta Hawks wants it fast (101.8) while Houston Rockets slows it down (96.4).
Rest gap: Atlanta Hawks and Houston Rockets on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
Strength on strength decides this one β€” the elite-offense-vs-lockdown-defense battle is the game.
The biggest swing factor is Mouhamed Gueye (Out for Atlanta Hawks β€” Foot Fracture).
Verdict: nothing clears the bar β€” the price is the game.
Rest
Atlanta Hawks: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Houston Rockets: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Atlanta Hawks: Mouhamed Gueye (Out β€” Foot Fracture (return 2026-11-20)); Henri Veesaar (Out β€” Knee (return 2027-07-01)).
Houston Rockets: Marcus Smart (Day-To-Day β€” Forearm Strain (return 2026-10-26)); Steven Adams (Out β€” Calf Strain (return 2026-10-28)).
Line movement
Spread steady at -5.5
Model total 228.8 vs listed 229.5 (edge -0.7) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Memphis Grizzlies @ Utah Jazz
Mon Oct 26 Β· 9:00 PM EDT Β· 10/26 - 9:00 PM EDT
Model says Memphis Grizzlies by 1.8. No book line yet.
🎯 Model pick · ⏳ Locks at 8:30 PM ET
Against the spread: MEM
Total points: Under β€”
Winner: MEM (β€”) Β· 55%
⏳ Locks at 8:30 PM ET
Model says
Memphis Grizzlies by 1.8 Β· win chance 55%
Model total points
237.4 (gap β€” vs book)
Book line (DraftKings)
spread β€” Β· total β€”
moneyline β€” / β€”
Model margin built from
efficiency -3.84 + home court 2.0 + rest (0.0, not priced)
no line yet
Rest days
MEM 1d rest Β· UTAH 0d rest πŸ” B2B
Efficiency (net rating)
MEM -4.5 Β· UTAH -8.3
last season counts for 92%
Injury report: MEM 2 players Β· UTAH 2 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) -1.2 vs official -1.8 β€” MEM βˆ’0.3 (Zach Edey 0.3) Β· UTAH +0.4 (Trey Alexander -0.4) Β· unknown value: Jusuf Nurkic, Karim Lopez
πŸ“– Full write-up
The model's read
The model makes Utah Jazz -1.8 (45% to win outright).
By the inputs, the margin comes from efficiency (-3.84) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS MEM; Locks at 8:30 PM ET.
Memphis Grizzlies β€” strengths & weaknesses
Memphis Grizzlies (MEM) ranks #22 at -4.5 net β€” 113.2 offense, 117.8 defense, 101.2 pace. 2 games played; priors carry 92% of the blend.
βœ“ plays fast (101.2 pace)
βœ— bottom-third offense (113.2 pts/100)
βœ— bottom-third defense (117.8 allowed/100)
Utah Jazz β€” strengths & weaknesses
Utah Jazz (UTAH) ranks #27 at -8.3 net β€” 113.8 offense, 122.0 defense, 102.2 pace. 2 games played; priors carry 92% of the blend.
βœ“ plays fast (102.2 pace)
βœ— bottom-third offense (113.8 pts/100)
βœ— bottom-third defense (122.0 allowed/100)
The exploitation map
The worst faucet meets a leaky pipe: Memphis Grizzlies (113.2 pts/100) may not punish Utah Jazz's 122.0 allowed.
The worst faucet meets a leaky pipe: Utah Jazz (113.8 pts/100) may not punish Memphis Grizzlies's 117.8 allowed.
Rest gap: Utah Jazz on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
The key question is whether the weak offense can punish the leaky defense β€” usually it can't, and that decides the game.
The biggest swing factor is Karim Lopez (Out for Memphis Grizzlies β€” Knee Bruise).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Memphis Grizzlies: 1d rest
Utah Jazz: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Memphis Grizzlies: Karim Lopez (Out β€” Knee Bruise (return 2026-10-26)); Zach Edey (Out β€” Ankle (return 2026-10-26)).
Utah Jazz: Trey Alexander (Out β€” Knee Bruise (return 2026-10-26)); Jusuf Nurkic (Out β€” Foot Strain (return 2026-11-04)).
Line movement
No opener captured yet today.
Golden State Warriors @ Denver Nuggets
Mon Oct 26 Β· 10:00 PM EDT Β· 10/26 - 10:00 PM EDT
Model says Denver Nuggets by 8.3. The book line says Denver Nuggets by 7.5. So the model leans Denver Nuggets -7.5. Total: model 231.4, book 234.5 β€” leans under. Locks at 9:30 PM ET.
🎯 Model pick · ⏳ Locks at 9:30 PM ET
Against the spread: DEN -7.5
Total points: Under 234.5
Winner: DEN (-290) Β· 73%
⏳ Locks at 9:30 PM ET
Model says
Denver Nuggets by 8.3 Β· win chance 73%
Model total points
231.4 (gap -3.1 vs book)
Book line (DraftKings)
spread -7.5 Β· total 234.5
moneyline +235 / -290
Model margin built from
efficiency +6.35 + home court 2.0 + rest (0.0, not priced)
+0.8 pts vs book line
Rest days
GS 0d rest πŸ” B2B Β· DEN 0d rest πŸ” B2B
Efficiency (net rating)
GS -1.9 Β· DEN +4.5
last season counts for 92%
Injury report: GS 6 players Β· DEN 4 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +13.9 vs official +8.3 β€” GS βˆ’3.6 (Charles Bassey 0.1, Jimmy Butler III 3.6) Β· DEN +1.9 (Cameron Johnson -0.1, Spencer Jones -1.1, Julian Strawther -0.7) Β· unknown value: Alpha Diallo, Kristaps Porzingis
πŸ“– Full write-up
The model's read
The model makes Denver Nuggets +8.3 (73% to win outright). DK has Denver Nuggets -7.5. Model-vs-line gap: +0.8 pts.
By the inputs, the margin comes from efficiency (+6.35) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS DEN; Locks at 9:30 PM ET.
Golden State Warriors β€” strengths & weaknesses
Golden State Warriors (GS) ranks #20 at -1.9 net β€” 114.7 offense, 116.6 defense, 98.6 pace. 3 games played; priors carry 88% of the blend.
No clear strengths or weaknesses by the tercile test β€” a league-average profile.
Denver Nuggets β€” strengths & weaknesses
Denver Nuggets (DEN) ranks #9 at +4.5 net β€” 121.6 offense, 117.0 defense, 98.3 pace. 2 games played; priors carry 92% of the blend.
βœ“ top-third offense (121.6 pts/100)
βœ— bottom-third defense (117.0 allowed/100)
The exploitation map
Rest gap: Golden State Warriors and Denver Nuggets on the second night of a back-to-back. The model prices rest at 0.0 β€” this is a hole in the number, not an edge.
Torque's read
Rest is the story tonight β€” a back-to-back against fresh legs, and the model's 0.0 rest price is the thing to be honest about.
The biggest swing factor is Kristaps Porzingis (Out for Golden State Warriors β€” Illness).
One honesty note: we're 92% on last season's priors β€” this is noise with a basketball game attached, not a formed view.
Verdict: nothing clears the bar β€” the price is the game.
Rest
Golden State Warriors: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Denver Nuggets: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Golden State Warriors: Gui Santos (Day-To-Day β€” Knee Tendinitis (return 2026-10-26)); Brandon Williams (Day-To-Day β€” Back Soreness (return 2026-10-26)); Charles Bassey (Day-To-Day β€” Knee (return 2026-10-26)); Kristaps Porzingis (Out β€” Illness (return 2026-12-01)).
Denver Nuggets: Alpha Diallo (Day-To-Day β€” Wrist (return 2026-10-26)); Cameron Johnson (Day-To-Day β€” Ankle Sprain (return 2026-10-26)); Spencer Jones (Out β€” Hamstring Not Specified (return 2026-10-28)); Julian Strawther (Out β€” Knee Sprain (return 2026-11-29)).
Line movement
Spread steady at -7.5
Model total 231.4 vs listed 234.5 (edge -3.1) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Forward-test hypothesis only. These are the model's strongest reads for this slate β€” not bets, not edges. Locked picks are the official basis; pre-lock rows are early looks β€” not official. Every locked pick is graded from game one (Record tab); the board is judged as a forward test after ~100 graded plays with CLV tracked.

Top spread reads ranked by gap vs book line

#GameModel sideModel marginGap vs bookBook spreadBasis
#1Washington Wizards @ Charlotte Hornets
Mon Oct 26 · 7:00 PM EDT		Charlotte Hornets+15.0+12.5-2.5⏳ Locks at 6:30 PM ET
#2Indiana Pacers @ Milwaukee Bucks
Mon Oct 26 · 8:00 PM EDT		Milwaukee Bucks+3.0+7.54.5⏳ Locks at 7:30 PM ET
#3Minnesota Timberwolves @ Cleveland Cavaliers
Mon Oct 26 · 7:00 PM EDT		Minnesota Timberwolves+0.7-2.8-3.5⏳ Locks at 6:30 PM ET
#4Chicago Bulls @ Boston Celtics
Mon Oct 26 · 7:30 PM EDT		Boston Celtics+15.1+1.6-13.5⏳ Locks at 7:00 PM ET
#5Atlanta Hawks @ Houston Rockets
Mon Oct 26 · 8:30 PM EDT		Atlanta Hawks+4.0-1.6-5.5⏳ Locks at 8:00 PM ET

Top moneyline reads ranked by model win chance

#GameModel sideWin chanceBook MLBasis
#1Chicago Bulls @ Boston Celtics
Mon Oct 26 · 7:30 PM EDT		Boston Celtics87%-850⏳ Locks at 7:00 PM ET
#2Washington Wizards @ Charlotte Hornets
Mon Oct 26 · 7:00 PM EDT		Charlotte Hornets87%-130⏳ Locks at 6:30 PM ET
#3Golden State Warriors @ Denver Nuggets
Mon Oct 26 · 10:00 PM EDT		Denver Nuggets73%-290⏳ Locks at 9:30 PM ET
#4Dallas Mavericks @ Miami Heat
Mon Oct 26 · 7:30 PM EDT		Miami Heat71%-325⏳ Locks at 7:00 PM ET
#5Memphis Grizzlies @ Sacramento Kings
Sun Oct 25 Β· 9:00 PM EDT		Memphis Grizzlies62%-175πŸ”’ locked pick

Top totals reads ranked by gap vs book total

#GameModel sideModel totalGap vs bookBook totalBasis
#1Indiana Pacers @ Milwaukee Bucks
Mon Oct 26 · 8:00 PM EDT		under230.7-8.8239.5⏳ Locks at 7:30 PM ET
#2Chicago Bulls @ Boston Celtics
Mon Oct 26 · 7:30 PM EDT		under229.6-3.9233.5⏳ Locks at 7:00 PM ET
#3Golden State Warriors @ Denver Nuggets
Mon Oct 26 · 10:00 PM EDT		under231.4-3.1234.5⏳ Locks at 9:30 PM ET
#4Memphis Grizzlies @ Sacramento Kings
Sun Oct 25 Β· 9:00 PM EDT		under232.4-2.1234.5πŸ”’ locked pick
#5Washington Wizards @ Charlotte Hornets
Mon Oct 26 · 7:00 PM EDT		over230.9+1.4229.5⏳ Locks at 6:30 PM ET
Forward-test hypothesis only. The value board is not a system, not bets, not edges. Judged after ~100 graded plays with CLV tracked. Bar: 5+ pt model-vs-line gap. Every locked pick is graded from game one β€” see the Record tab.
How to read: "Model says" is who the model thinks wins and by how much. "Gap vs book" is model minus book line. "Lean" is the side the gap points to, with its line. A πŸ“ flag means the gap cleared the 5-point bar.
DateGameModel sideGap vs bookBook lineBasis
Mon Oct 26WSH @ CHACharlotte Hornets+12.5-2.5early look β€” not official
Mon Oct 26IND @ MILMilwaukee Bucks+7.54.5early look β€” not official
Sun Oct 25IND @ BKNBrooklyn Nets+6.46.5πŸ”’ locked pick
Sun Oct 25LAC @ OKCLos Angeles Clippers-5.2-16.5πŸ”’ locked pick

All games, model vs line

GameModel saysBook lineGap vs bookLeanModel total ptsBook totalTotal gap
LAL @ UTAH-9.2 LAL6.5-2.7LAL -6.5236.1237.5-1.4
IND @ BKN-0.1 IND5.5+5.4BKN +5.5 πŸ“227.0231.5-4.5
ORL @ NY+8.0 NY-6.5+1.5NY -6.5226.9224.5+2.4
TOR @ MIN+2.2 MIN-3.5-1.3TOR +3.5227.9228.5-0.6
LAC @ OKC+11.3 OKC-16.5-5.2LAC +16.5 πŸ“224.4223.5+0.9
DET @ PHI-5.7 DET1.5-4.2DET -1.5227.9228.5-0.6
MEM @ SAC-4.1 MEM3.5-0.6MEM -3.5232.4234.5-2.1
WSH @ CHA+15.0 CHA-2.5+12.5CHA -2.5 πŸ“230.9229.5+1.4
MIN @ CLE+0.7 CLE-3.5-2.8MIN +3.5232.4232.5-0.1
CHI @ BOS+15.1 BOS-13.5+1.6BOS -13.5229.6233.5-3.9
DAL @ MIA+7.6 MIA-8.5-0.9DAL +8.5234.9235.5-0.6
IND @ MIL+3.0 MIL4.5+7.5MIL +4.5 πŸ“230.7239.5-8.8
PHX @ OKC+13.0 OKCβ€”β€”β€”222.8β€”β€”
ATL @ HOU+4.0 HOU-5.5-1.6ATL +5.5228.8229.5-0.7
MEM @ UTAH-1.8 MEMβ€”β€”β€”237.4β€”β€”
GS @ DEN+8.3 DEN-7.5+0.8DEN -7.5231.4234.5-3.1
How to read: this tab shows where the betting money is going β€” tickets (how many bets) vs money (how many dollars) on each side. It does not predict winners and never feeds the model. A side with far more money than tickets is where the big bets are.
🌊 Money flow day by day
consensus league avg ticket% vs handle% on the favorite Β· gap = sharp divergence
0%10%20%30%40%50%60%70%80%90%100%10/2110/2210/2310/2410/2510/26Tickets on fav 10/21: 67.6%Tickets on fav 10/22: 78.8%Tickets on fav 10/23: 82.5%Tickets on fav 10/24: 81.9%Tickets on fav 10/25: 89.2%Handle on fav 10/21: 59.0%Handle on fav 10/22: 67.0%Handle on fav 10/23: 77.7%Handle on fav 10/24: 72.9%Handle on fav 10/25: 86.0%Tickets on favHandle on fav

10/21: 11g 3 lopsided 3 sharp-div 6 2-src Β· 10/22: 2g 1 lopsided 1 sharp-div 2 2-src Β· 10/23: 12g 9 lopsided 2 sharp-div 11 2-src Β· 10/24: 8g 5 lopsided 2 sharp-div 8 2-src Β· 10/25: 7g 5 lopsided 2 sharp-div 7 2-src Β· 10/26: 7g 7 lopsided 5 sharp-div 0 2-src

6 days of splits so far β€” early-season averages are thin; a 2-game day swings wildly.

Lopsided = a side drew 75%+ of the money. Sharp-div = handle% βˆ’ tickets% β‰₯ 15 on a team. Favorite = negative-moneyline side (pick’em games excluded from favorite averages). 2-src = games covered by both sources that day.

πŸ“Š Bet differential day by day
tickets vs money vs over% β€” and the money-minus-tickets gap
0%10%20%30%40%50%60%70%80%90%100%10/2110/2210/2310/2410/2510/26Tickets (bets%) 10/21: 67.6%Tickets (bets%) 10/22: 78.8%Tickets (bets%) 10/23: 82.5%Tickets (bets%) 10/24: 81.9%Tickets (bets%) 10/25: 89.2%Money (handle%) 10/21: 59.0%Money (handle%) 10/22: 67.0%Money (handle%) 10/23: 77.7%Money (handle%) 10/24: 72.9%Money (handle%) 10/25: 86.0%Over% 10/21: 45.8%Over% 10/22: 84.0%Over% 10/23: 67.2%Over% 10/24: 47.5%Over% 10/25: 58.4%Tickets (bets%)Money (handle%)Over%
Bet differential (handle% βˆ’ tickets%)
positive = money heavier than tickets
+11.8%βˆ’11.8%10/21: -8.6pp10/21-8.610/22: -11.8pp10/22-11.810/23: -4.8pp10/23-4.810/24: -9.0pp10/24-9.010/25: -3.2pp10/25-3.2
πŸ“… Day detail
every game that day β€” consensus of the reporting sources

Day

Sources: 2 src = both books reported; Ξ” = max ticket% disagreement between the sources on the moneyline sides. 1 src = only one book reported β€” consensus equals that book, treated as single-book, not consensus.

Move = biggest intraday handle swing on a moneyline side (earliest β†’ latest snapshot of the day, consensus); ⚑ = 10+ point swing. 🧊 = frozen line: handle swung 10+ pts while the cleatz moneyline price moved ≀2 pts of implied probability over the same window. n snaps = snapshots feeding the move. Numbers refresh every ~30 min through the day.

πŸ€ Team splits
that team's consensus tickets vs money, day by day

Team

Splits: consensus: cleatz.com + wiseguyteam.com (DraftKings). Display only β€” not a model input.

How to read: each row is one locked pick, graded after the game. Spread = did the pick cover the book line? Winner = did the picked team win? Totals = over or under the book total? W–L–P = wins, losses, pushes (ties).
Against the spread locked spread pick vs locked book line
21–15–0

58.3% (pushes excluded)

Winner (moneyline) locked winner pick vs actual winner
24–12

66.7%

Totals locked total pick vs locked book total
18–18–0

50.0% (pushes excluded)

Best Bets – Spread top-5 spread picks per slate
15–7–0

68.2% (pushes excluded)

Best Bets – Winner top-5 winner picks per slate
14–7

66.7%

Best Bets – Totals top-5 totals picks per slate
12–9–0

57.1% (pushes excluded)

Record is real and graded from game one. One honest caveat: early-season games were graded on priors-heavy ratings (paper-trade phase until ~15–20 games/team, early Dec) β€” the inputs were thin, the grades are not. 36 graded Β· 2 voided (excluded) Β· 1 locked, awaiting final. Basis is fixed: locked pick vs locked line, append-only, never moved mid-flight. Best Bets records track the same locked rows β€” top-5 reads per market per slate β€” on the identical basis.

Game log

DateGameSpread pickSpreadTotal pickTotalWinner pickWinnerBB
Oct 21ATL @ ORL
132–125		ATL +2.5WUnder 233.5LORLLβ€”
Oct 21MIN @ MIA
131–106		MIA -1.5LUnder 240.5WMIALβ˜…T
Oct 21CHA @ BKN
110–103		CHA -1.5WOver 219.5LCHAWβ˜…S β˜…M β˜…T
Oct 21CHI @ TOR
92–135		TOR -10.5WUnder 237.5WTORWβ˜…M β˜…T
Oct 21UTAH @ MEM
103–123		MEM -1.5WUnder 240.5WMEMWβ˜…S
Oct 21IND @ NO
123–120		NO +2.5LUnder 238.5LNOLβ˜…S β˜…M β˜…T
Oct 21DAL @ HOU
110–128		HOU -10.5WUnder 230.5LHOUWβ˜…S β˜…M
Oct 21GS @ LAL
105–127		GS +6.5LUnder 233.5WLALWβ€”
Oct 21PHX @ POR
83–124		PHX +2.5LUnder 231.5WPORWβ˜…T
Oct 21SAC @ LAC
96–121		LAC -5.5WOver 226.5LLACWβ˜…S β˜…M
Oct 22CLE @ PHI
106–114		CLE +2.5LUnder 236.5WCLELβ˜…S β˜…M β˜…T
Oct 22DEN @ OKC
84–96		OKC -7.5WUnder 236.5WOKCWβ˜…S β˜…M β˜…T
Oct 23ATL @ CHA
128–81		CHA +2.5LOver 226.5LCHALβ˜…S β˜…M β˜…T
Oct 23DAL @ IND
121–105		DAL +7.5WUnder 239.5WINDLβ˜…S β˜…T
Oct 23MIN @ ORL
115–93		MIN +1.5WUnder 234.5WMINWβ˜…T
Oct 23TOR @ WSH
112–102		TOR -9.5WUnder 236.5WTORWβ˜…S β˜…M β˜…T
Oct 23DET @ MIA
128–111		DET -1.5WUnder 234.5LDETWβ€”
Oct 23HOU @ SA
114–110		SA -4.5LOver 224.5LSALβ˜…M
Oct 23NO @ UTAH
119–120		NO +1.5WUnder 238.5LNOLβ˜…S
Oct 23MEM @ GS
111–108		GS -4.5LUnder 236.5WGSLβ˜…M β˜…T
Oct 23LAC @ LAL
117–125		LAC +8.5WOver 225.5WLALWβ˜…S
Oct 23POR @ SAC
128–120		SAC +9.5WUnder 231.5LPORWβ˜…M
Oct 24MIA @ CHA
110–115		CHA +4.5WOver 228.5LCHAWβ˜…S β˜…T
Oct 24BKN @ CLE
121–125		CLE -11.5LUnder 228.5LCLEWβ˜…M
Oct 24MIL @ PHI
116–127		MIL +13.5WUnder 234.5LPHIWβ˜…S β˜…M β˜…T
Oct 24WSH @ CHI
124–120		CHI -1.5LUnder 244.5WCHILβ˜…S β˜…M β˜…T
Oct 24SA @ DAL
122–106		DAL +14.5LOver 229.5LSAWβ˜…S β˜…M
Oct 24HOU @ ATL
121–114		ATL +1.5LOver 227.5WATLLβ€”
Oct 24NO @ DEN
135–141		NO +11.5WUnder 239.5LDENWβ˜…M β˜…T
Oct 24GS @ PHX
122–131		GS +9.5WOver 221.5WPHXWβ˜…S β˜…T
Oct 25LAL @ UTAH
132–123		LAL -6.5WUnder 237.5LLALWβ˜…S β˜…M β˜…T
Oct 25IND @ BKN
136–109		BKN +6.5LUnder 231.5LINDWβ˜…S β˜…T
Oct 25ORL @ NY
111–102		NY -6.5LOver 224.5LNYLβ˜…S β˜…M β˜…T
Oct 25TOR @ MIN
94–117		TOR +3.5LUnder 228.5WMINWβ˜…T
Oct 25LAC @ OKC
101–108		LAC +16.5WUnder 224.5WOKCWβ˜…S β˜…M
Oct 25DET @ PHI
106–93		DET -1.5WUnder 228.5WDETWβ˜…S β˜…M
Oct 21MIL @ WSH
voided β€” excluded from record		Locked while CHO/BRK/PHO/WAS silently ran 0.0 net ratings (BREF2ESPN mapping bug) β€” corrupted basis. Graded 2-1 (WSH 128-116: spread WSH -4.
Oct 23NY @ BOS
voided — excluded from record		Locked while NYK silently ran 0.0 net rating (BREF2ESPN mapping bug — missing NYK→NY entry) — corrupted basis. Graded 2-1 (BOS 107-103: spre

Running record by week

WeekSpreadSpread runWinnerWinner runTotalsTotals run
Wk of Oct 1921–15–021–15–024–1224–1218–18–018–18–0
The core question

Not "are we smarter than the line." Instead: "what's in the line, and which part can we see through?"

line = efficiency truth + rest/B2B state + public shade + brand tax + key-number rounding + vig.
The model projects only the parts it can measure honestly (efficiency truth, schedule state) and keeps them separable from the parts it can't (shade, brand tax, vig) β€” so every gap vs the line can be asked which component is this?

Pick-lock rule

Picks lock 30 minutes before tipoff. At that moment the model's spread side, total side, and moneyline side are frozen together with the DraftKings spread, total, and moneyline as they stand then.

Efficiency core

Net rating (offensive βˆ’ defensive rating, pace-adjusted) blended: curr_w = min(1, gp/20) * 0.8 ; prior_w = 1 - curr_w. Prior = 2025-26 final ratings. HFA = 2.0 pts (walk-forward tested 2021-22–2024-25, pooled 1.99). Win chance from a bell curve, width 13.5 (untested).

Every factor beyond the efficiency core is walk-forward tested before wiring. Nothing enters the projection on theory alone. Rest/B2B edge is currently 0.0 β€” displayed, logged daily to the rest log for the future backtest, not priced in.

Honest limits

Team net ratings

Offense/defense = points per 100 possessions. Net rating = offense minus defense. Last-season weight = how much of the rating still comes from last season.

AbbrTeamNet ratingOffenseDefensePaceGamesLast-season weight
OKCOklahoma City Thunder+11.28118.0106.899.2292%
DETDetroit Pistons+8.54118.3109.899.5292%
SASan Antonio Spurs+7.31118.4111.1100.1388%
BOSBoston Celtics+7.28120.4113.194.8292%
HOUHouston Rockets+5.93119.1113.296.4388%
NYNew York Knicks+5.57118.5112.996.9292%
MINMinnesota Timberwolves+4.88117.1112.2100.6292%
TORToronto Raptors+4.64115.8111.299.1292%
DENDenver Nuggets+4.55121.6117.098.3292%
ATLAtlanta Hawks+3.96116.8112.8101.8388%
CLECleveland Cavaliers+3.63118.2114.6100.6292%
CHACharlotte Hornets+3.00117.3114.397.2388%
LALLos Angeles Lakers+2.84118.7115.898.6292%
LACLos Angeles Clippers+1.77117.2115.497.0292%
PORPortland Trail Blazers+1.68115.3113.6100.5292%
PHIPhiladelphia 76ers+0.86114.6113.7100.3388%
MIAMiami Heat+0.12115.4115.2103.4388%
PHXPhoenix Suns+0.09114.8114.797.0292%
ORLOrlando Magic-0.56114.1114.7100.3292%
GSGolden State Warriors-1.90114.7116.698.6388%
NONew Orleans Pelicans-4.34114.8119.1100.5388%
MEMMemphis Grizzlies-4.51113.2117.8101.2292%
DALDallas Mavericks-5.37111.2116.6101.6388%
CHIChicago Bulls-5.98112.2118.2103.1388%
MILMilwaukee Bucks-6.76112.9119.698.6388%
INDIndiana Pacers-7.77110.8118.6101.2292%
UTAHUtah Jazz-8.29113.8122.0102.2292%
BKNBrooklyn Nets-9.90108.7118.697.6292%
WSHWashington Wizards-10.07111.2121.3101.8388%
SACSacramento Kings-10.58110.9121.599.5292%
Quarter wins + scoring only. No quarter spread or total lines exist in free sources, so there are no against-the-spread or over/under columns here β€” a quarter win is a quarter moneyline win. Overtime periods excluded. Display only β€” not a model input.

42 finished games since Oct 20. 14 tied quarters (counted as neither win nor loss). Click a header to sort.

Quarter records W-L per quarter, season to date

TeamGPQ1Q2Q3Q4All QQ win%
Minnesota Timberwolves33-02-13-01-29-30.8%
Portland Trail Blazers21-12-02-00-1-15-20.7%
Toronto Raptors32-12-11-23-08-40.7%
Indiana Pacers31-21-23-03-08-40.7%
Atlanta Hawks31-22-11-1-13-07-40.6%
Los Angeles Lakers31-23-02-0-11-27-40.6%
Memphis Grizzlies20-22-01-12-05-30.6%
Cleveland Cavaliers22-02-01-10-25-30.6%
Houston Rockets33-02-11-1-10-2-16-40.6%
Oklahoma City Thunder32-11-22-12-17-50.6%
Washington Wizards32-11-23-01-27-50.6%
Detroit Pistons32-10-2-12-12-16-50.5%
New York Knicks33-01-20-2-12-16-50.5%
San Antonio Spurs31-22-11-22-0-16-50.5%
Boston Celtics21-12-01-10-24-40.5%
Los Angeles Clippers32-11-21-22-16-60.5%
Philadelphia 76ers41-30-3-14-02-27-80.5%
Orlando Magic31-21-21-1-12-15-60.5%
Charlotte Hornets31-1-12-11-21-25-60.5%
Utah Jazz33-01-20-2-11-25-60.5%
New Orleans Pelicans31-22-12-10-35-70.4%
Dallas Mavericks31-21-22-11-25-70.4%
Golden State Warriors32-10-31-22-15-70.4%
Sacramento Kings21-11-10-21-13-50.4%
Denver Nuggets21-11-10-21-13-50.4%
Milwaukee Bucks31-22-11-20-34-80.3%
Chicago Bulls30-32-10-32-14-80.3%
Phoenix Suns20-21-11-10-1-12-50.3%
Miami Heat30-2-11-20-32-13-80.3%
Brooklyn Nets31-20-31-21-23-90.2%

Quarter scoring points for / against per quarter, per game

TeamGPQ1 PFQ1 PAQ2 PFQ2 PAQ3 PFQ3 PAQ4 PFQ4 PATot PFTot PA
Atlanta Hawks329.027.733.727.029.730.032.324.3124.7109.0
Boston Celtics227.027.027.020.031.530.524.534.5110.0112.0
Brooklyn Nets326.328.726.333.727.732.330.729.0111.0123.7
Charlotte Hornets326.029.028.329.027.026.320.729.3102.0113.7
Chicago Bulls322.334.333.328.329.338.729.726.7114.7128.0
Cleveland Cavaliers235.024.033.525.524.531.522.536.5115.5117.5
Dallas Mavericks333.730.324.730.029.329.024.729.0112.3118.3
Denver Nuggets225.531.027.027.524.030.528.522.0105.0111.0
Detroit Pistons334.025.321.326.332.727.330.326.7118.3105.7
Golden State Warriors330.729.723.331.329.335.028.327.0111.7123.0
Houston Rockets331.326.332.022.029.031.028.732.0121.0111.3
Indiana Pacers329.733.725.032.733.323.733.326.7121.3116.7
Los Angeles Clippers330.726.326.327.329.329.726.726.3113.0109.7
Los Angeles Lakers330.037.038.025.334.723.725.329.0128.0115.0
Memphis Grizzlies231.032.531.021.029.031.026.021.0117.0105.5
Miami Heat329.735.327.031.322.032.730.325.3109.0124.7
Milwaukee Bucks326.725.332.733.335.337.724.332.7119.0129.0
Minnesota Timberwolves330.724.329.726.031.317.329.330.0121.097.7
New Orleans Pelicans332.331.031.327.333.028.725.036.0121.7123.0
New York Knicks326.723.326.327.321.728.327.029.0101.7108.0
Oklahoma City Thunder327.025.023.721.029.327.326.723.0106.796.3
Orlando Magic324.727.327.033.025.326.332.729.7109.7116.3
Philadelphia 76ers424.229.827.531.031.022.227.224.0110.0107.0
Phoenix Suns217.034.031.029.036.036.523.023.5107.0123.0
Portland Trail Blazers235.022.530.529.039.526.521.023.5126.0101.5
Sacramento Kings231.034.028.026.021.038.028.026.5108.0124.5
San Antonio Spurs329.032.328.029.727.327.027.723.0112.0112.0
Toronto Raptors332.725.326.025.023.329.031.724.3113.7103.7
Utah Jazz336.328.725.034.727.033.727.027.7115.3124.7
Washington Wizards324.728.028.731.334.726.030.030.7118.0116.0