π NBA Model 2026-27 Β· paper trade Β· generated 2026-10-25 11:07 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· 10/25 - 5:00 PM EDT
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. Locks at 4:30 PM ET.
π― Model pick Β· β³ Locks at 4:30 PM ET
Against the spread: LAL -6.5
Total points: Under 237.5
Winner: LAL (-245) Β· 75%
β³ Locks at 4:30 PM ET
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 -245 / +200
Model margin built from efficiency -11.17 + home court 2.0 + rest (0.0, not priced) -2.7 pts vs book line
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 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS LAL; Locks at 4:30 PM ET.
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.
β 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.
β plays fast (102.2 pace)
β bottom-third offense (113.8 pts/100)
β 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)).
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· 10/25 - 6:00 PM EDT
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.
π― Model pick Β· β³ Locks at 5:30 PM ET
Against the spread: BKN +6.5
Total points: Under 231.5
Winner: IND (-270) Β· 50%
β³ Locks at 5:30 PM ET
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 6.5 Β· total 231.5 moneyline -270 / +220
Model margin built from efficiency -2.12 + home court 2.0 + rest (0.0, not priced) +6.4 pts vs book line
Rest days IND 1d rest Β· BKN 0d rest π B2B
Efficiency (net rating) IND -7.8 Β· BKN -9.9 last season counts for 92%
π PAPER TRADE flag: the model leans Brooklyn Nets by 6.4 pts vs the book line (5+ point bar). A test flag only β not a bet, not an edge.
π Full write-up
The model's read
The model makes Brooklyn Nets -0.1 (50% to win outright). DK has Indiana Pacers -6.5. Model-vs-line gap: +6.4 pts.
By the inputs, the margin comes from efficiency (-2.12) + home court (2.0, tested 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS BKN; Locks at 5:30 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.
β plays fast (101.2 pace)
β bottom-third offense (110.8 pts/100)
β 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.
β bottom-third offense (108.7 pts/100)
β 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: Aaron Nesmith (Day-To-Day β Hamstring Strain (return 2026-10-25)); 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 (Day-To-Day β Shoulder (return 2026-10-25)); Mikel Brown Jr. (Out β Rest (return 2026-10-27)).
Line movement
Spread +5.5 β +6.5
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· 10/25 - 7:00 PM EDT
Model says New York Knicks by 8.0. The book line says New York Knicks by 7.5. So the model leans New York Knicks -7.5. Total: model 226.9, book 224.5 β leans over. Locks at 6:30 PM ET.
π― Model pick Β· β³ Locks at 6:30 PM ET
Against the spread: NY -7.5
Total points: Over 224.5
Winner: NY (-298) Β· 72%
β³ Locks at 6:30 PM ET
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 -7.5 Β· total 224.5 moneyline +240 / -298
Model margin built from efficiency +6.04 + home court 2.0 + rest (0.0, not priced) +0.5 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%
The model makes New York Knicks +8.0 (72% to win outright). DK has New York Knicks -7.5. Model-vs-line gap: +0.5 pts.
By the inputs, the margin comes from efficiency (+6.04) + home court (2.0, tested 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS NY; Locks at 6:30 PM ET.
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.
β 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.
β top-third offense (118.5 pts/100)
β 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)); Anthony Black (Day-To-Day β Ankle Sprain (return 2026-10-25)); Paolo Banchero (Out β Ankle Sprain (return 2026-11-22)); Noah Penda (Out β Hamstring Strain (return 2026-11-18)).
New York Knicks: Jose Alvarado (Day-To-Day β Ankle Sprain (return 2026-10-25)).
Line movement
Spread steady at -7.5
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· 10/25 - 7:00 PM EDT
Model says Minnesota Timberwolves by 2.2. The book line says Minnesota Timberwolves by 1.5. So the model leans Minnesota Timberwolves -1.5. Total: model 227.9, book 230.5 β leans under. Locks at 6:30 PM ET.
π― Model pick Β· β³ Locks at 6:30 PM ET
Against the spread: MIN -1.5
Total points: Under 230.5
Winner: MIN (-115) Β· 57%
β³ Locks at 6:30 PM ET
Model says Minnesota Timberwolves by 2.2 Β· win chance 57%
Model total points 227.9 (gap -2.6 vs book)
Book line (DraftKings) spread -1.5 Β· total 230.5 moneyline -105 / -115
Model margin built from efficiency +0.24 + home court 2.0 + rest (0.0, not priced) +0.7 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%
The model makes Minnesota Timberwolves +2.2 (57% to win outright). DK has Minnesota Timberwolves -1.5. Model-vs-line gap: +0.7 pts.
By the inputs, the margin comes from efficiency (+0.24) + home court (2.0, tested 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS MIN; Locks at 6:30 PM ET.
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.
β 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.
β top-third defense (112.2 allowed/100)
β 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 Nate Bittle (Out for Toronto Raptors β Foot Fracture).
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: 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 -1.5
Model total 227.9 vs listed 230.5 (edge -2.6) 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· 10/25 - 7:00 PM EDT
Model says Oklahoma City Thunder by 11.3. The book line says Oklahoma City Thunder by 15.5. So the model leans Los Angeles Clippers +15.5. Total: model 224.4, book 224.5 β leans under. Locks at 6:30 PM ET.
π― Model pick Β· β³ Locks at 6:30 PM ET
Against the spread: LAC +15.5
Total points: Under 224.5
Winner: OKC (-1350) Β· 80%
β³ Locks at 6:30 PM ET
Model says Oklahoma City Thunder by 11.3 Β· win chance 80%
Model total points 224.4 (gap -0.1 vs book)
Book line (DraftKings) spread -15.5 Β· total 224.5 moneyline +800 / -1350
Model margin built from efficiency +9.33 + home court 2.0 + rest (0.0, not priced) -4.2 pts vs book line
Rest days LAC 0d rest π B2B Β· OKC 1d rest
Efficiency (net rating) LAC +1.8 Β· OKC +11.3 last season counts for 92%
The model makes Oklahoma City Thunder +11.3 (80% to win outright). DK has Oklahoma City Thunder -15.5. Model-vs-line gap: -4.2 pts.
By the inputs, the margin comes from efficiency (+9.33) + home court (2.0, tested 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS LAC; Locks at 6:30 PM ET.
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.
β top-third offense (118.0 pts/100)
β 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: a mild lean at best β under the 5pt bar, not a play.
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: 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 -15.5
Model total 224.4 vs listed 224.5 (edge -0.1) 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· 10/25 - 7:30 PM EDT
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 227.5 β leans over. Locks at 7:00 PM ET.
π― Model pick Β· β³ Locks at 7:00 PM ET
Against the spread: DET -1.5
Total points: Over 227.5
Winner: DET (-118) Β· 66%
β³ Locks at 7:00 PM ET
Model says Detroit Pistons by 5.7 Β· win chance 66%
Model total points 227.9 (gap +0.4 vs book)
Book line (DraftKings) spread 1.5 Β· total 227.5 moneyline -118 / -102
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 π B2B Β· PHI 0d rest π B2B
Efficiency (net rating) DET +8.5 Β· PHI +0.9 last season counts for 88%
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 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS DET; Locks at 7:00 PM ET.
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.
β top-third offense (118.3 pts/100)
β 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 Jalen Duren (Out for Detroit Pistons β Hamstring Strain).
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)
Philadelphia 76ers: LeBron James (Day-To-Day β Back (return 2026-10-25)); Joel Embiid (Day-To-Day β Rest (return 2026-10-25)); Jabari Walker (Day-To-Day β Knee (return 2026-10-25)); Tacko Fall (Out β Quadriceps Strain (return 2026-10-25)).
Line movement
Spread -2.5 β +1.5
Model total 227.9 vs listed 227.5 (edge +0.4) 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· 10/25 - 9:00 PM EDT
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. Locks at 8:30 PM ET.
π― Model pick Β· β³ Locks at 8:30 PM ET
Against the spread: MEM -3.5
Total points: Under 234.5
Winner: MEM (-166) Β· 62%
β³ Locks at 8:30 PM ET
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 -166 / +140
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 π B2B Β· SAC 0d rest π B2B
Efficiency (net rating) MEM -4.5 Β· SAC -10.6 last season counts for 92%
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 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ 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.
β plays fast (101.2 pace)
β bottom-third offense (113.2 pts/100)
β 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.
β bottom-third offense (110.9 pts/100)
β 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 Zach Edey (Out for Memphis Grizzlies β Ankle).
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)
The model makes Charlotte Hornets +15.0 (87% to win outright).
By the inputs, the margin comes from efficiency (+13.00) + home court (2.0, tested 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS WSH; 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.
β plays fast (101.8 pace)
β bottom-third offense (111.2 pts/100)
β 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.
β 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: nothing clears the bar β the price is the game.
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 2026-10-26)); Tristan Vukcevic (Out β Hip Pinched Nerve (return 2026-11-02)); Jamir Watkins (Out β Knee Surgery (return 2027-04-02)).
Charlotte Hornets: Grant Williams (Out β Hamstring (return 2026-10-30)); Coby White (Out β Calf Strain (return 2026-10-26)); Kon Knueppel (Out β Hamstring (return 2026-10-26)); Kylan Boswell (Out β Knee Surgery (return 2026-11-02)).
Line movement
No opener captured yet today.
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. No book line yet.
π― Model pick Β· β³ Locks at 6:30 PM ET
Against the spread: MIN
Total points: Under β
Winner: CLE (β) Β· 52%
β³ Locks at 6:30 PM ET
Model says Cleveland Cavaliers by 0.7 Β· win chance 52%
Model total points 232.4 (gap β vs book)
Book line (DraftKings) spread β Β· total β moneyline β / β
Model margin built from efficiency -1.26 + home court 2.0 + rest (0.0, not priced) no line yet
Rest days MIN 0d rest π B2B Β· CLE 1d rest
Efficiency (net rating) MIN +4.9 Β· CLE +3.6 last season counts for 92%
The model makes Boston Celtics +15.1 (87% to win outright).
By the inputs, the margin comes from efficiency (+13.12) + home court (2.0, tested 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS CHI; 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.
β plays fast (103.1 pace)
β bottom-third offense (112.2 pts/100)
β 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.
β top-third offense (120.4 pts/100)
β 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
No opener captured yet today.
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. No book line yet.
π― Model pick Β· β³ Locks at 7:00 PM ET
Against the spread: DAL
Total points: Under β
Winner: MIA (β) Β· 71%
β³ Locks at 7:00 PM ET
Model says Miami Heat by 7.6 Β· win chance 71%
Model total points 234.9 (gap β vs book)
Book line (DraftKings) spread β Β· total β moneyline β / β
Model margin built from efficiency +5.63 + home court 2.0 + rest (0.0, not priced) no line yet
Rest days DAL 0d rest π B2B Β· MIA 1d rest
Efficiency (net rating) DAL -5.4 Β· MIA +0.1 last season counts for 88%
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 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ 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.
β top-third offense (118.0 pts/100)
β 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: 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. No book line yet.
π― Model pick Β· β³ Locks at 8:00 PM ET
Against the spread: ATL
Total points: Under β
Winner: HOU (β) Β· 62%
β³ Locks at 8:00 PM ET
Model says Houston Rockets by 4.0 Β· win chance 62%
Model total points 228.8 (gap β vs book)
Book line (DraftKings) spread β Β· total β moneyline β / β
Model margin built from efficiency +1.95 + home court 2.0 + rest (0.0, not priced) no line yet
The model makes Houston Rockets +4.0 (62% to win outright).
By the inputs, the margin comes from efficiency (+1.95) + home court (2.0, tested 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ 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.
β top-third defense (112.8 allowed/100)
β 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.
β top-third offense (119.1 pts/100)
β 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: Fred VanVleet (Day-To-Day β Knee (return 2026-10-26)); Marcus Smart (Day-To-Day β Forearm Strain (return 2026-10-26)); Steven Adams (Day-To-Day β Ankle (return 2026-10-26)).
Line movement
No opener captured yet today.
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.
π― Model pick Β· β³ Locks at 8:30 PM ET
Against the spread: MEM
Total points: Under β
Winner: MEM (β) Β· 55%
β³ 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 π B2B
Efficiency (net rating) MEM -4.5 Β· UTAH -8.3 last season counts for 92%
The model makes Denver Nuggets +8.3 (73% to win outright).
By the inputs, the margin comes from efficiency (+6.35) + home court (2.0, tested 2021-22β2024-25); rest is priced at 0.0 (display only).
β³ Live model pick: ATS GS; 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.
β top-third offense (121.6 pts/100)
β 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: Brandin Podziemski (Day-To-Day β Back (return 2026-10-26)); Al Horford (Day-To-Day β Back (return 2026-10-26)); Draymond Green (Day-To-Day β Back (return 2026-10-26)); Stephen Curry (Day-To-Day β Rest (return 2026-10-26)).
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
#
Game
Model side
Model margin
Gap vs book
Book spread
Basis
#1
Indiana Pacers @ Brooklyn Nets Sun Oct 25 Β· 6:00 PM EDT
Brooklyn Nets
-0.1
+6.4
6.5
β³ Locks at 5:30 PM ET
#2
Los Angeles Clippers @ Oklahoma City Thunder Sun Oct 25 Β· 7:00 PM EDT
Los Angeles Clippers
+11.3
-4.2
-15.5
β³ Locks at 6:30 PM ET
#3
Detroit Pistons @ Philadelphia 76ers Sun Oct 25 Β· 7:30 PM EDT
Detroit Pistons
-5.7
-4.2
1.5
β³ Locks at 7:00 PM ET
#4
Los Angeles Lakers @ Utah Jazz Sun Oct 25 Β· 5:00 PM EDT
Los Angeles Lakers
-9.2
-2.7
6.5
β³ Locks at 4:30 PM ET
#5
Toronto Raptors @ Minnesota Timberwolves Sun Oct 25 Β· 7:00 PM EDT
Minnesota Timberwolves
+2.2
+0.7
-1.5
β³ Locks at 6:30 PM ET
Top moneyline reads ranked by model win chance
#
Game
Model side
Win chance
Book ML
Basis
#1
Los Angeles Clippers @ Oklahoma City Thunder Sun Oct 25 Β· 7:00 PM EDT
Oklahoma City Thunder
80%
-1350
β³ Locks at 6:30 PM ET
#2
Los Angeles Lakers @ Utah Jazz Sun Oct 25 Β· 5:00 PM EDT
Los Angeles Lakers
75%
-245
β³ Locks at 4:30 PM ET
#3
Orlando Magic @ New York Knicks Sun Oct 25 Β· 7:00 PM EDT
New York Knicks
72%
-298
β³ Locks at 6:30 PM ET
#4
Detroit Pistons @ Philadelphia 76ers Sun Oct 25 Β· 7:30 PM EDT
Detroit Pistons
66%
-118
β³ Locks at 7:00 PM ET
#5
Memphis Grizzlies @ Sacramento Kings Sun Oct 25 Β· 9:00 PM EDT
Memphis Grizzlies
62%
-166
β³ Locks at 8:30 PM ET
Top totals reads ranked by gap vs book total
#
Game
Model side
Model total
Gap vs book
Book total
Basis
#1
Indiana Pacers @ Brooklyn Nets Sun Oct 25 Β· 6:00 PM EDT
under
227.0
-4.5
231.5
β³ Locks at 5:30 PM ET
#2
Toronto Raptors @ Minnesota Timberwolves Sun Oct 25 Β· 7:00 PM EDT
under
227.9
-2.6
230.5
β³ Locks at 6:30 PM ET
#3
Orlando Magic @ New York Knicks Sun Oct 25 Β· 7:00 PM EDT
over
226.9
+2.4
224.5
β³ Locks at 6:30 PM ET
#4
Memphis Grizzlies @ Sacramento Kings Sun Oct 25 Β· 9:00 PM EDT
under
232.4
-2.1
234.5
β³ Locks at 8:30 PM ET
#5
Los Angeles Lakers @ Utah Jazz Sun Oct 25 Β· 5:00 PM EDT
under
236.1
-1.4
237.5
β³ Locks at 4:30 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 π flag means the gap cleared the 5-point bar.
Date
Game
Model side
Gap vs book
Book line
Basis
Sun Oct 25
IND @ BKN
Brooklyn Nets
+6.4
6.5
early look β not official
All games, model vs line
Game
Model says
Book line
Gap vs book
Lean
Model total pts
Book total
Total gap
LAL @ UTAH
-9.2 LAL
6.5
-2.7
LAL -6.5
236.1
237.5
-1.4
IND @ BKN
-0.1 IND
6.5
+6.4
BKN +6.5 π
227.0
231.5
-4.5
ORL @ NY
+8.0 NY
-7.5
+0.5
NY -7.5
226.9
224.5
+2.4
TOR @ MIN
+2.2 MIN
-1.5
+0.7
MIN -1.5
227.9
230.5
-2.6
LAC @ OKC
+11.3 OKC
-15.5
-4.2
LAC +15.5
224.4
224.5
-0.1
DET @ PHI
-5.7 DET
1.5
-4.2
DET -1.5
227.9
227.5
+0.4
MEM @ SAC
-4.1 MEM
3.5
-0.6
MEM -3.5
232.4
234.5
-2.1
WSH @ CHA
+15.0 CHA
β
β
β
230.9
β
β
MIN @ CLE
+0.7 CLE
β
β
β
232.4
β
β
CHI @ BOS
+15.1 BOS
β
β
β
229.6
β
β
DAL @ MIA
+7.6 MIA
β
β
β
234.9
β
β
IND @ MIL
+3.0 MIL
β
β
β
230.7
β
β
PHX @ OKC
+13.0 OKC
β
β
β
222.8
β
β
ATL @ HOU
+4.0 HOU
β
β
β
228.8
β
β
MEM @ UTAH
-1.8 MEM
β
β
β
237.4
β
β
GS @ DEN
+8.3 DEN
β
β
β
231.4
β
β
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.
π Money flow day by day consensus league avg ticket% vs handle% on the favorite Β· gap = sharp divergence
5 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% β tickets% β₯ 15 on a team. Favorite = negative-moneyline side (pickβem games excluded from favorite averages). 2-src = games covered by both sources that day.
π Bet differential day by day tickets vs money vs over% β and the money-minus-tickets gap
Bet differential (handle% β tickets%) positive = money heavier than tickets
π 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); β‘ = 10+ point swing. π§ = frozen line: handle swung 10+ pts while the cleatz moneyline price moved β€2 pts of implied probability over the same window. n snaps = snapshots feeding the move. Numbers refresh every ~30 min through the day.
π 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? WβLβP = wins, losses, pushes (ties).
Against the spread locked spread pick vs locked book line
18β12β0
60.0% (pushes excluded)
Winner (moneyline) locked winner pick vs actual winner
19β11
63.3%
Totals locked total pick vs locked book total
15β15β0
50.0% (pushes excluded)
Best Bets β Spread top-5 spread picks per slate
12β5β0
70.6% (pushes excluded)
Best Bets β Winner top-5 winner picks per slate
11β6
64.7%
Best Bets β Totals top-5 totals picks per slate
11β6β0
64.7% (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 ~15β20 games/team, early Dec) β the inputs were thin, the grades are not. 30 graded Β· 2 voided (excluded) Β· 0 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
Date
Game
Spread pick
Spread
Total pick
Total
Winner pick
Winner
BB
Oct 21
ATL @ ORL 132β125
ATL +2.5
W
Under 233.5
L
ORL
L
β
Oct 21
MIN @ MIA 131β106
MIA -1.5
L
Under 240.5
W
MIA
L
β T
Oct 21
CHA @ BKN 110β103
CHA -1.5
W
Over 219.5
L
CHA
W
β Sβ Mβ T
Oct 21
CHI @ TOR 92β135
TOR -10.5
W
Under 237.5
W
TOR
W
β Mβ T
Oct 21
UTAH @ MEM 103β123
MEM -1.5
W
Under 240.5
W
MEM
W
β S
Oct 21
IND @ NO 123β120
NO +2.5
L
Under 238.5
L
NO
L
β Sβ Mβ T
Oct 21
DAL @ HOU 110β128
HOU -10.5
W
Under 230.5
L
HOU
W
β Sβ M
Oct 21
GS @ LAL 105β127
GS +6.5
L
Under 233.5
W
LAL
W
β
Oct 21
PHX @ POR 83β124
PHX +2.5
L
Under 231.5
W
POR
W
β T
Oct 21
SAC @ LAC 96β121
LAC -5.5
W
Over 226.5
L
LAC
W
β Sβ M
Oct 22
CLE @ PHI 106β114
CLE +2.5
L
Under 236.5
W
CLE
L
β Sβ Mβ T
Oct 22
DEN @ OKC 84β96
OKC -7.5
W
Under 236.5
W
OKC
W
β Sβ Mβ T
Oct 23
ATL @ CHA 128β81
CHA +2.5
L
Over 226.5
L
CHA
L
β Sβ Mβ T
Oct 23
DAL @ IND 121β105
DAL +7.5
W
Under 239.5
W
IND
L
β Sβ T
Oct 23
MIN @ ORL 115β93
MIN +1.5
W
Under 234.5
W
MIN
W
β T
Oct 23
TOR @ WSH 112β102
TOR -9.5
W
Under 236.5
W
TOR
W
β Sβ Mβ T
Oct 23
DET @ MIA 128β111
DET -1.5
W
Under 234.5
L
DET
W
β
Oct 23
HOU @ SA 114β110
SA -4.5
L
Over 224.5
L
SA
L
β M
Oct 23
NO @ UTAH 119β120
NO +1.5
W
Under 238.5
L
NO
L
β S
Oct 23
MEM @ GS 111β108
GS -4.5
L
Under 236.5
W
GS
L
β Mβ T
Oct 23
LAC @ LAL 117β125
LAC +8.5
W
Over 225.5
W
LAL
W
β S
Oct 23
POR @ SAC 128β120
SAC +9.5
W
Under 231.5
L
POR
W
β M
Oct 24
MIA @ CHA 110β115
CHA +4.5
W
Over 228.5
L
CHA
W
β Sβ T
Oct 24
BKN @ CLE 121β125
CLE -11.5
L
Under 228.5
L
CLE
W
β M
Oct 24
MIL @ PHI 116β127
MIL +13.5
W
Under 234.5
L
PHI
W
β Sβ Mβ T
Oct 24
WSH @ CHI 124β120
CHI -1.5
L
Under 244.5
W
CHI
L
β Sβ Mβ T
Oct 24
SA @ DAL 122β106
DAL +14.5
L
Over 229.5
L
SA
W
β Sβ M
Oct 24
HOU @ ATL 121β114
ATL +1.5
L
Over 227.5
W
ATL
L
β
Oct 24
NO @ DEN 135β141
NO +11.5
W
Under 239.5
L
DEN
W
β Mβ T
Oct 24
GS @ PHX 122β131
GS +9.5
W
Over 221.5
W
PHX
W
β Sβ T
Oct 21
MIL @ 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 23
NY @ BOS voided β excluded from record
Locked while NYK silently ran 0.0 net rating (BREF2ESPN mapping bug β missing NYKβNY entry) β corrupted basis. Graded 2-1 (BOS 107-103: spre
Running record by week
Week
Spread
Spread run
Winner
Winner run
Totals
Totals run
Wk of Oct 19
18β12β0
18β12β0
19β11
19β11
15β15β0
15β15β0
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.
Before the lock, the app shows the current model pick and the time it locks. Value flags on those games are early looks β not official.
Once locked, the Value board judges only the locked pick against the locked line. Nothing moves after the lock β the log is append-only, no edits, no deletions. A missed lock window is a missed lock, never backfilled.
Basis is fixed: locked pick vs locked line, graded from game one (Record tab). The value board is judged as a forward-test hypothesis after ~100 graded plays with closing-line value tracked β never bets, never edges.
Efficiency core
Net rating (offensive β 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 2021-22β2024-25, 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
Season tipped off 2026-10-20: ratings are heavily weighted to 2025-26 priors; paper-trade phase until ~15-20 games per team (early December).
Value board is a forward-test hypothesis (5+ pt bar, ~100 graded plays, CLV tracked). Never presented as bets or edges.
NBA.com stats API times out from this VM; ratings source is basketball-reference advanced team stats.
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.
Abbr
Team
Net rating
Offense
Defense
Pace
Games
Last-season weight
OKC
Oklahoma City Thunder
+11.28
118.0
106.8
99.2
2
92%
DET
Detroit Pistons
+8.54
118.3
109.8
99.5
2
92%
SA
San Antonio Spurs
+7.31
118.4
111.1
100.1
3
88%
BOS
Boston Celtics
+7.28
120.4
113.1
94.8
2
92%
HOU
Houston Rockets
+5.93
119.1
113.2
96.4
3
88%
NY
New York Knicks
+5.57
118.5
112.9
96.9
2
92%
MIN
Minnesota Timberwolves
+4.88
117.1
112.2
100.6
2
92%
TOR
Toronto Raptors
+4.64
115.8
111.2
99.1
2
92%
DEN
Denver Nuggets
+4.55
121.6
117.0
98.3
2
92%
ATL
Atlanta Hawks
+3.96
116.8
112.8
101.8
3
88%
CLE
Cleveland Cavaliers
+3.63
118.2
114.6
100.6
2
92%
CHA
Charlotte Hornets
+3.00
117.3
114.3
97.2
3
88%
LAL
Los Angeles Lakers
+2.84
118.7
115.8
98.6
2
92%
LAC
Los Angeles Clippers
+1.77
117.2
115.4
97.0
2
92%
POR
Portland Trail Blazers
+1.68
115.3
113.6
100.5
2
92%
PHI
Philadelphia 76ers
+0.86
114.6
113.7
100.3
3
88%
MIA
Miami Heat
+0.12
115.4
115.2
103.4
3
88%
PHX
Phoenix Suns
+0.09
114.8
114.7
97.0
2
92%
ORL
Orlando Magic
-0.56
114.1
114.7
100.3
2
92%
GS
Golden State Warriors
-1.90
114.7
116.6
98.6
3
88%
NO
New Orleans Pelicans
-4.34
114.8
119.1
100.5
3
88%
MEM
Memphis Grizzlies
-4.51
113.2
117.8
101.2
2
92%
DAL
Dallas Mavericks
-5.37
111.2
116.6
101.6
3
88%
CHI
Chicago Bulls
-5.98
112.2
118.2
103.1
3
88%
MIL
Milwaukee Bucks
-6.76
112.9
119.6
98.6
3
88%
IND
Indiana Pacers
-7.77
110.8
118.6
101.2
2
92%
UTAH
Utah Jazz
-8.29
113.8
122.0
102.2
2
92%
BKN
Brooklyn Nets
-9.90
108.7
118.6
97.6
2
92%
WSH
Washington Wizards
-10.07
111.2
121.3
101.8
3
88%
SAC
Sacramento Kings
-10.58
110.9
121.5
99.5
2
92%
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.
36 finished games since Oct 20. 8 tied quarters (counted as neither win nor loss). Click a header to sort.
Quarter records W-L per quarter, season to date
Team
GP
Q1
Q2
Q3
Q4
All Q
Q win%
Minnesota Timberwolves
2
2-0
2-0
2-0
1-1
7-1
0.9%
Toronto Raptors
2
2-0
1-1
1-1
2-0
6-2
0.8%
Portland Trail Blazers
2
1-1
2-0
2-0
0-1-1
5-2
0.7%
Atlanta Hawks
3
1-2
2-1
1-1-1
3-0
7-4
0.6%
New York Knicks
2
2-0
1-1
0-2
2-0
5-3
0.6%
Memphis Grizzlies
2
0-2
2-0
1-1
2-0
5-3
0.6%
Indiana Pacers
2
1-1
0-2
2-0
2-0
5-3
0.6%
Los Angeles Lakers
2
1-1
2-0
2-0
0-2
5-3
0.6%
Los Angeles Clippers
2
2-0
0-2
1-1
2-0
5-3
0.6%
Cleveland Cavaliers
2
2-0
2-0
1-1
0-2
5-3
0.6%
Houston Rockets
3
3-0
2-1
1-1-1
0-2-1
6-4
0.6%
Washington Wizards
3
2-1
1-2
3-0
1-2
7-5
0.6%
San Antonio Spurs
3
1-2
2-1
1-2
2-0-1
6-5
0.5%
Boston Celtics
2
1-1
2-0
1-1
0-2
4-4
0.5%
Detroit Pistons
2
1-1
0-2
2-0
1-1
4-4
0.5%
Philadelphia 76ers
3
1-2
0-3
3-0
2-1
6-6
0.5%
Oklahoma City Thunder
2
1-1
1-1
1-1
1-1
4-4
0.5%
Utah Jazz
2
2-0
1-1
0-2
1-1
4-4
0.5%
Charlotte Hornets
3
1-1-1
2-1
1-2
1-2
5-6
0.5%
New Orleans Pelicans
3
1-2
2-1
2-1
0-3
5-7
0.4%
Dallas Mavericks
3
1-2
1-2
2-1
1-2
5-7
0.4%
Golden State Warriors
3
2-1
0-3
1-2
2-1
5-7
0.4%
Orlando Magic
2
1-1
0-2
1-1
1-1
3-5
0.4%
Sacramento Kings
2
1-1
1-1
0-2
1-1
3-5
0.4%
Denver Nuggets
2
1-1
1-1
0-2
1-1
3-5
0.4%
Milwaukee Bucks
3
1-2
2-1
1-2
0-3
4-8
0.3%
Chicago Bulls
3
0-3
2-1
0-3
2-1
4-8
0.3%
Phoenix Suns
2
0-2
1-1
1-1
0-1-1
2-5
0.3%
Miami Heat
3
0-2-1
1-2
0-3
2-1
3-8
0.3%
Brooklyn Nets
2
0-2
0-2
1-1
1-1
2-6
0.2%
Quarter scoring points for / against per quarter, per game