πŸ€ NBA Model 2026-27 Β· paper trade Β· generated 2026-10-26 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.
Washington Wizards @ Charlotte Hornets
Mon Oct 26 Β· 7:00 PM EDT Β· Final
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 227.5 β€” leans over. Paper trade only β€” a test flag, not a bet.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: CHA -2.5
Total points: Over 227.5
Winner: CHA (-142) Β· 87%
🏁 Final Β· WSH 103 – CHA 110 Β· locked pick was CHA (grading starts ~Dec 2026)
Model says
Charlotte Hornets by 15.0 Β· win chance 87%
Model total points
230.9 (gap +5.4 vs book)
Book line (DraftKings)
spread -2.5 Β· total 225.5
moneyline +120 / -142
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 4 players Β· CHA 4 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +11.7 vs official +15.0 β€” WSH +1.5 (Jamir Watkins -1.4) Β· CHA βˆ’1.8 (Coby White -0.7, Kon Knueppel 1.8, 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).
🏁 Final: WSH 103 – CHA 110. Graded in the Record tab β€” grading runs from game one.
Washington Wizards β€” strengths & weaknesses
Washington Wizards (WSH) ranks #28 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 #13 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: Justin Champagnie (Day-To-Day β€” Foot Not Specified (return 2026-10-28)); 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: Coby White (Out β€” Calf Strain (return 2026-10-31)); Kon Knueppel (Out β€” Hamstring (return 2026-10-31)); Grant Williams (Out β€” Hamstring (return 2026-10-31)); Kylan Boswell (Out β€” Knee Surgery (return 2026-11-02)).
Line movement
Spread steady at -2.5
Model total 230.9 vs listed 225.5 (edge +5.4) 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· Final/OT
Model says Minnesota Timberwolves by 0.0. The book line says Cleveland Cavaliers by 3.5. So the model leans Minnesota Timberwolves +3.5. Total: model 232.0, book 234.5 β€” leans under.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: MIN +3.5
Total points: Under 234.5
Winner: MIN (+130) Β· 50%
🏁 Final Β· MIN 125 – CLE 127 Β· locked pick was MIN (grading starts ~Dec 2026)
Model says
Minnesota Timberwolves by 0.0 Β· win chance 50%
Model total points
232.0 (gap -2.5 vs book)
Book line (DraftKings)
spread -3.5 Β· total 234.5
moneyline +130 / -155
Model margin built from
efficiency -2.04 + home court 2.0 + rest (0.0, not priced)
-3.5 pts vs book line
Rest days
MIN 0d rest πŸ” B2B Β· CLE 1d rest
Efficiency (net rating)
MIN +5.7 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) +0.5 vs official -0.0 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 -0.0 (50% to win outright). DK has Cleveland Cavaliers -3.5. Model-vs-line gap: -3.5 pts.
By the inputs, the margin comes from efficiency (-2.04) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: MIN 125 – CLE 127. Graded in the Record tab β€” grading runs from game one.
Minnesota Timberwolves β€” strengths & weaknesses
Minnesota Timberwolves (MIN) ranks #6 at +5.7 net β€” 117.1 offense, 111.4 defense, 100.6 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third defense (111.4 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: a mild lean at best β€” under the 5pt bar, not a play.
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 232.0 vs listed 234.5 (edge -2.5) 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· Final
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.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: BOS -13.5
Total points: Under 233.5
Winner: BOS (-750) Β· 87%
🏁 Final Β· CHI 99 – BOS 134 Β· locked pick was BOS (grading starts ~Dec 2026)
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 -14.5 Β· total 233.5
moneyline +525 / -750
Model margin built from
efficiency +13.12 + home court 2.0 + rest (0.0, not priced)
+0.6 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 2 players Β· BOS 1 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +14.7 vs official +15.1 β€” CHI +1.4 (Nic Claxton 0.5, Patrick Williams -1.9) 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 -14.5. Model-vs-line gap: +0.6 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).
🏁 Final: CHI 99 – BOS 134. Graded in the Record tab β€” grading runs from game one.
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: Nic Claxton (Out β€” Hamstring (return 2026-11-04)); Patrick Williams (Out β€” Groin Soreness (return 2026-10-28)).
Boston Celtics: Devin Carter (Out β€” Illness (return 2026-11-08)).
Line movement
Spread -13.5 β†’ -14.5
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· Final
Model says Miami Heat by 7.6. The book line says Miami Heat by 7.5. So the model leans Miami Heat -7.5. Total: model 234.9, book 240.5 β€” leans under.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: MIA -7.5
Total points: Under 240.5
Winner: MIA (-285) Β· 71%
🏁 Final Β· DAL 113 – MIA 109 Β· locked pick was MIA (grading starts ~Dec 2026)
Model says
Miami Heat by 7.6 Β· win chance 71%
Model total points
234.9 (gap -5.6 vs book)
Book line (DraftKings)
spread -7.5 Β· total 240.5
moneyline +220 / -270
Model margin built from
efficiency +5.63 + home court 2.0 + rest (0.0, not priced)
+0.1 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) +7.8 vs official +7.6 β€” DAL βˆ’0.1 (Caleb Martin -0.7, Naji Marshall -0.4, Santi Aldama 1.0, Dereck Lively II 0.2) Β· MIA βˆ’0.0 (β€”) Β· unknown value: Sergio de Larrea, 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 -7.5. Model-vs-line gap: +0.1 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).
🏁 Final: DAL 113 – MIA 109. Graded in the Record tab β€” grading runs from game one.
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: Sergio de Larrea (Day-To-Day β€” Knee Strain (return 2026-10-28)); Caleb Martin (Out β€” Thumb Sprain (return 2026-11-02)); Naji Marshall (Out β€” Illness (return 2026-10-28)); Tarik Biberovic (Out β€” Heel Inflammation (return 2026-11-02)).
Line movement
Spread steady at -7.5
Model total 234.9 vs listed 240.5 (edge -5.6) 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· Final
Model says Milwaukee Bucks by 1.6. The book line says Indiana Pacers by 3.5. So the model leans Milwaukee Bucks +3.5. Total: model 231.0, book 238.5 β€” leans under. Paper trade only β€” a test flag, not a bet.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: MIL +3.5
Total points: Under 238.5
Winner: MIL (+140) Β· 55%
🏁 Final Β· IND 102 – MIL 110 Β· locked pick was MIL (grading starts ~Dec 2026)
Model says
Milwaukee Bucks by 1.6 Β· win chance 55%
Model total points
231.0 (gap -8.5 vs book)
Book line (DraftKings)
spread 3.5 Β· total 239.5
moneyline -155 / +130
Model margin built from
efficiency -0.35 + home court 2.0 + rest (0.0, not priced)
+5.2 pts vs book line
Rest days
IND 0d rest πŸ” B2B Β· MIL 1d rest
Efficiency (net rating)
IND -6.4 Β· MIL -6.8
last season counts for 88%
Injury report: IND 5 players Β· MIL 0 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) -0.9 vs official +1.6 β€” IND +2.6 (Ben Sheppard -1.3, Andrew Nembhard -0.5, T.J. McConnell 0.9, Ivica Zubac -0.2, Johnny Furphy -1.4) Β· MIL βˆ’0.0 (β€”)
πŸ“ PAPER TRADE flag: the model leans Milwaukee Bucks 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 Milwaukee Bucks +1.6 (55% to win outright). DK has Indiana Pacers -3.5. Model-vs-line gap: +5.2 pts.
By the inputs, the margin comes from efficiency (-0.35) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: IND 102 – MIL 110. Graded in the Record tab β€” grading runs from game one.
Indiana Pacers β€” strengths & weaknesses
Indiana Pacers (IND) ranks #25 at -6.4 net β€” 111.7 offense, 118.1 defense, 101.3 pace. 3 games played; priors carry 88% of the blend.
βœ“ plays fast (101.3 pace)
βœ— bottom-third offense (111.7 pts/100)
βœ— bottom-third defense (118.1 allowed/100)
Milwaukee Bucks β€” strengths & weaknesses
Milwaukee Bucks (MIL) ranks #26 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 (111.7 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 118.1 allowed.
Pace clash: Indiana Pacers wants it fast (101.3) 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 Ben Sheppard (Out for Indiana Pacers β€” Knee).
Verdict: the 5.2pt 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: Ben Sheppard (Out β€” Knee (return 2026-12-01)); Andrew Nembhard (Out β€” Back Soreness (return 2026-10-28)); T.J. McConnell (Out β€” Hamstring Strain (return 2026-10-28)); Ivica Zubac (Out β€” Ankle Sprain (return 2026-10-28)).
Line movement
Spread +4.5 β†’ +3.5
Model total 231.0 vs listed 239.5 (edge -8.5) 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· Final
Model says Oklahoma City Thunder by 12.8. The book line says Oklahoma City Thunder by 8.5. So the model leans Oklahoma City Thunder -8.5. Total: model 222.5, book 221.5 β€” leans over.
🎯 Model pick Β· 🏁 final β€” locked pick was
Against the spread: OKC -8.5
Total points: Over 221.5
Winner: OKC (-325) Β· 83%
🏁 Final Β· PHX 114 – OKC 125 Β· locked pick was OKC (grading starts ~Dec 2026)
Model says
Oklahoma City Thunder by 12.8 Β· win chance 83%
Model total points
222.5 (gap +1.0 vs book)
Book line (DraftKings)
spread -8.5 Β· total 221.5
moneyline +260 / -325
Model margin built from
efficiency +10.80 + home court 2.0 + rest (0.0, not priced)
+4.3 pts vs book line
Rest days
PHX 0d rest πŸ” B2B Β· OKC 0d rest πŸ” B2B
Efficiency (net rating)
PHX +0.1 Β· OKC +11.1
last season counts for 88%
Injury report: PHX 2 players Β· OKC 7 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +9.2 vs official +12.8 β€” PHX βˆ’1.0 (Mark Williams 1.0) Β· OKC βˆ’4.6 (Alex Caruso 0.2, Jalen Williams 1.2, Cason Wallace 0.7, Chet Holmgren 2.5) Β· unknown value: Nikola Topic, Otega Oweh, Thomas Sorber
πŸ“– Full write-up
The model's read
The model makes Oklahoma City Thunder +12.8 (83% to win outright). DK has Oklahoma City Thunder -8.5. Model-vs-line gap: +4.3 pts.
By the inputs, the margin comes from efficiency (+10.80) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
🏁 Final: PHX 114 – OKC 125. Graded in the Record tab β€” grading runs from game one.
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 +11.1 net β€” 117.5 offense, 106.4 defense, 99.3 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third offense (117.5 pts/100)
βœ“ top-third defense (106.4 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 Oso Ighodaro (Out for Phoenix Suns β€” Oblique 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
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 (Out β€” Oblique Strain (return 2026-10-30)); Mark Williams (Out β€” Shoulder Surgery (return 2027-02-03)).
Oklahoma City Thunder: Alex Caruso (Day-To-Day β€” Ankle (return 2026-10-28)); Jalen Williams (Out β€” Leg Fracture (return 2027-03-02)); Cason Wallace (Out β€” Shoulder (return 2027-03-02)); Nikola Topic (Out β€” Back (return 2026-10-28)).
Line movement
Spread -9.5 β†’ -8.5
Model total 222.5 vs listed 221.5 (edge +1.0) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Atlanta Hawks @ Houston Rockets
Mon Oct 26 Β· 8:30 PM EDT Β· 3:29 - 4th
Model says Houston Rockets by 4.0. The book line says Houston Rockets by 4.5. So the model leans Atlanta Hawks +4.5. Total: model 228.8, book 229.5 β€” leans under. The injury shadow disagrees β€” it leans Houston Rockets.
🎯 Model pick Β· πŸ”’ locked pick
Against the spread: ATL +4.5
Total points: Under 229.5
Winner: HOU (-192) Β· 62%
πŸ”’ Locked 8:04 PM ET
Locked pick: spread ATL vs DK -4.5 Β· total under (model 228.8 vs 229.5) Β· ML HOU (62%)
Model says
Houston Rockets by 4.0 Β· win chance 62%
Model total points
228.8 (gap +0.3 vs book)
Book line (DraftKings)
spread -4.5 Β· total 228.5
moneyline +160 / -192
Model margin built from
efficiency +1.95 + home court 2.0 + rest (0.0, not priced)
-0.6 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) +5.1 vs official +4.0 β€” ATL +0.4 (Mouhamed Gueye -0.4) Β· HOU +1.5 (Steven Adams -0.2, Marcus Smart -1.3) 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 -4.5. Model-vs-line gap: -0.6 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).
πŸ”’ Locked 8:04 PM ET: spread ATL vs DK -4.5 Β· total under Β· ML HOU (62%).
Atlanta Hawks β€” strengths & weaknesses
Atlanta Hawks (ATL) ranks #9 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: Steven Adams (Out β€” Calf Strain (return 2026-11-02)); Marcus Smart (Out β€” Forearm Strain (return 2026-10-28)).
Line movement
Spread -5.5 β†’ -4.5
Model total 228.8 vs listed 228.5 (edge +0.3) 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· 3:54 - 3rd
Model says Memphis Grizzlies by 2.6. The book line says Memphis Grizzlies by 1.5. So the model leans Memphis Grizzlies -1.5. Total: model 237.7, book 237.5 β€” leans over.
🎯 Model pick Β· πŸ”’ locked pick
Against the spread: MEM -1.5
Total points: Over 237.5
Winner: MEM (-110) Β· 42%
πŸ”’ Locked 8:34 PM ET
Locked pick: spread MEM vs DK 1.5 Β· total over (model 237.7 vs 237.5) Β· ML MEM (42%)
Model says
Memphis Grizzlies by 2.6 Β· win chance 58%
Model total points
237.7 (gap +0.2 vs book)
Book line (DraftKings)
spread 1.5 Β· total 237.5
moneyline -112 / -108
Model margin built from
efficiency -4.57 + home court 2.0 + rest (0.0, not priced)
-1.1 pts vs book line
Rest days
MEM 1d rest Β· UTAH 0d rest πŸ” B2B
Efficiency (net rating)
MEM -3.8 Β· UTAH -8.3
last season counts for 88%
Injury report: MEM 0 players Β· UTAH 5 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) -3.0 vs official -2.6 β€” MEM βˆ’0.0 (β€”) Β· UTAH βˆ’0.4 (Lauri Markkanen 0.5, Jaxson Hayes 0.5, Trey Alexander -0.4) Β· unknown value: Jusuf Nurkic
πŸ“– Full write-up
The model's read
The model makes Utah Jazz -2.6 (42% to win outright). DK has Memphis Grizzlies -1.5. Model-vs-line gap: -1.1 pts.
By the inputs, the margin comes from efficiency (-4.57) + 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 1.5 Β· total over Β· ML MEM (42%).
Memphis Grizzlies β€” strengths & weaknesses
Memphis Grizzlies (MEM) ranks #21 at -3.8 net β€” 113.7 offense, 117.5 defense, 101.1 pace. 3 games played; priors carry 88% of the blend.
βœ“ plays fast (101.1 pace)
βœ— bottom-third offense (113.7 pts/100)
βœ— bottom-third defense (117.5 allowed/100)
Utah Jazz β€” strengths & weaknesses
Utah Jazz (UTAH) ranks #27 at -8.3 net β€” 114.1 offense, 122.4 defense, 102.2 pace. 3 games played; priors carry 88% of the blend.
βœ“ plays fast (102.2 pace)
βœ— bottom-third defense (122.4 allowed/100)
The exploitation map
The worst faucet meets a leaky pipe: Memphis Grizzlies (113.7 pts/100) may not punish Utah Jazz's 122.4 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 Jaxson Hayes (Out for Utah Jazz β€” Shoulder Soreness).
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
Utah Jazz: Lauri Markkanen (Day-To-Day β€” Wrist Not Specified (return 2026-10-28)); Jaren Jackson Jr. (Day-To-Day β€” Knee Not Specified (return 2026-10-28)); Jaxson Hayes (Out β€” Shoulder Soreness (return 2026-10-28)); Trey Alexander (Out β€” Knee Bruise (return 2026-10-28)).
Line movement
Spread -1.5 β†’ +1.5
Model total 237.7 vs listed 237.5 (edge +0.2) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Golden State Warriors @ Denver Nuggets
Mon Oct 26 Β· 10:00 PM EDT Β· 8:14 - 2nd
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 236.5 β€” leans under.
🎯 Model pick Β· πŸ”’ locked pick
Against the spread: DEN -7.5
Total points: Under 236.5
Winner: DEN (-270) Β· 73%
πŸ”’ Locked 9:34 PM ET
Locked pick: spread DEN vs DK -7.5 Β· total under (model 231.4 vs 236.5) Β· ML DEN (73%)
Model says
Denver Nuggets by 8.3 Β· win chance 73%
Model total points
231.4 (gap -5.1 vs book)
Book line (DraftKings)
spread -6.5 Β· total 236.5
moneyline +220 / -270
Model margin built from
efficiency +6.35 + home court 2.0 + rest (0.0, not priced)
+1.9 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 3 players Β· DEN 4 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +14.1 vs official +8.3 β€” GS βˆ’3.5 (Jimmy Butler III 3.6) Β· DEN +2.2 (Cameron Johnson -0.4, 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 -6.5. Model-vs-line gap: +1.9 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).
πŸ”’ Locked 9:34 PM ET: spread DEN vs DK -7.5 Β· total under Β· ML DEN (73%).
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 #8 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: Kristaps Porzingis (Out β€” Illness (return 2026-12-01)); Moses Moody (Out β€” Knee Surgery (return 2026-12-01)); Jimmy Butler III (Out β€” Knee Surgery (return 2027-01-02)).
Denver Nuggets: Cameron Johnson (Out β€” Ankle Sprain (return 2026-10-28)); Alpha Diallo (Out β€” Wrist (return 2026-10-28)); Spencer Jones (Out β€” Hamstring Not Specified (return 2026-10-28)); Julian Strawther (Out β€” Knee Sprain (return 2026-11-29)).
Line movement
Spread -7.5 β†’ -6.5
Model total 231.4 vs listed 236.5 (edge -5.1) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Brooklyn Nets @ Boston Celtics
Tue Oct 27 Β· 7:30 PM EDT Β· 10/27 - 7:30 PM EDT
Model says Boston Celtics by 19.1. The book line says Boston Celtics by 11.5. So the model leans Boston Celtics -11.5. Total: model 222.1, book 222.5 β€” leans under. Paper trade only β€” a test flag, not a bet.
🎯 Model pick · ⏳ Locks at 7:00 PM ET
Against the spread: BOS -11.5
Total points: Under 222.5
Winner: BOS (-575) Β· 92%
⏳ Locks at 7:00 PM ET
Model says
Boston Celtics by 19.1 Β· win chance 92%
Model total points
222.1 (gap -0.4 vs book)
Book line (DraftKings)
spread -11.5 Β· total 222.5
moneyline +425 / -575
Model margin built from
efficiency +17.15 + home court 2.0 + rest (0.0, not priced)
+7.7 pts vs book line
Rest days
BKN 1d rest Β· BOS 0d rest πŸ” B2B
Efficiency (net rating)
BKN -10.5 Β· BOS +7.3
last season counts for 92%
Injury report: BKN 2 players Β· BOS 1 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +20.1 vs official +19.1 β€” BKN βˆ’0.0 (β€”) Β· BOS +1.0 (Devin Carter -1.0) Β· unknown value: Mikel Brown Jr., Tyler Bilodeau
πŸ“ PAPER TRADE flag: the model leans Boston Celtics by 7.7 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 Boston Celtics +19.1 (92% to win outright). DK has Boston Celtics -11.5. Model-vs-line gap: +7.7 pts.
By the inputs, the margin comes from efficiency (+17.15) + 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.
Brooklyn Nets β€” strengths & weaknesses
Brooklyn Nets (BKN) ranks #29 at -10.5 net β€” 108.5 offense, 119.0 defense, 97.9 pace. 3 games played; priors carry 88% of the blend.
βœ— bottom-third offense (108.5 pts/100)
βœ— bottom-third defense (119.0 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 Brooklyn Nets's bottom-third defense (119.0 allowed) is the most direct exploitation on the board.
Rest gap: Boston Celtics 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 Tyler Bilodeau (Out for Brooklyn Nets β€” Shoulder 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: the 7.7pt disagreement on Boston Celtics is the one to watch as the forward test β€” hypothesis only, never a bet.
Rest
Brooklyn Nets: 1d rest
Boston Celtics: 0d rest (second night of a back-to-back β€” NOT priced into the model)
Injuries
Brooklyn Nets: Mikel Brown Jr. (Day-To-Day β€” Rest (return 2026-10-27)); Tyler Bilodeau (Out β€” Shoulder Sprain (return 2026-10-30)).
Boston Celtics: Devin Carter (Out β€” Illness (return 2026-11-08)).
Line movement
Spread steady at -11.5
Model total 222.1 vs listed 222.5 (edge -0.4) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Detroit Pistons @ New York Knicks
Tue Oct 27 Β· 8:00 PM EDT Β· 10/27 - 8:00 PM EDT
Model says Detroit Pistons by 1.7. The book line says New York Knicks by 3.5. So the model leans Detroit Pistons +3.5. Total: model 224.8, book 218.5 β€” leans over. Paper trade only β€” a test flag, not a bet.
🎯 Model pick · ⏳ Locks at 7:30 PM ET
Against the spread: DET +3.5
Total points: Over 218.5
Winner: DET (+136) Β· 55%
⏳ Locks at 7:30 PM ET
Model says
Detroit Pistons by 1.7 Β· win chance 55%
Model total points
224.8 (gap +6.3 vs book)
Book line (DraftKings)
spread -3.5 Β· total 218.5
moneyline +136 / -162
Model margin built from
efficiency -3.72 + home court 2.0 + rest (0.0, not priced)
-5.2 pts vs book line
Rest days
DET 1d rest Β· NY 1d rest
Efficiency (net rating)
DET +8.7 Β· NY +5.0
last season counts for 88%
Injury report: DET 3 players Β· NY 1 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +2.3 vs official -1.7 β€” DET βˆ’3.6 (Isaiah Joe 0.3, Ausar Thompson 0.4, Jalen Duren 2.9) Β· NY +0.4 (Jose Alvarado -0.4)
πŸ“ PAPER TRADE flag: the model leans Detroit Pistons 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 New York Knicks -1.7 (45% to win outright). DK has New York Knicks -3.5. Model-vs-line gap: -5.2 pts.
By the inputs, the margin comes from efficiency (-3.72) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS DET; Locks at 7:30 PM ET.
Detroit Pistons β€” strengths & weaknesses
Detroit Pistons (DET) ranks #2 at +8.7 net β€” 118.0 offense, 109.2 defense, 99.4 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third offense (118.0 pts/100)
βœ“ top-third defense (109.2 allowed/100)
New York Knicks β€” strengths & weaknesses
New York Knicks (NY) ranks #7 at +5.0 net β€” 117.7 offense, 112.7 defense, 97.1 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third offense (117.7 pts/100)
βœ“ top-third defense (112.7 allowed/100)
The exploitation map
Detroit Pistons's elite offense runs into New York Knicks's lockdown defense β€” strength on strength.
New York Knicks's elite offense runs into Detroit Pistons's lockdown defense β€” strength on strength.
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 Jalen Duren (Out for Detroit Pistons β€” Hamstring Strain).
Verdict: the 5.2pt disagreement on Detroit Pistons is the one to watch as the forward test β€” hypothesis only, never a bet.
Rest
Detroit Pistons: 1d rest
New York Knicks: 1d rest
Injuries
Detroit Pistons: Isaiah Joe (Day-To-Day β€” Hip Bruise (return 2026-10-27)); Ausar Thompson (Day-To-Day β€” Ankle Sprain (return 2026-10-27)); Jalen Duren (Out β€” Hamstring Strain (return 2026-11-09)).
New York Knicks: Jose Alvarado (Out β€” Ankle Sprain (return 2026-10-28)).
Line movement
Spread steady at -3.5
Model total 224.8 vs listed 218.5 (edge +6.3) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Sacramento Kings @ San Antonio Spurs
Tue Oct 27 Β· 8:00 PM EDT Β· 10/27 - 8:00 PM EDT
Model says San Antonio Spurs by 19.9. The book line says San Antonio Spurs by 18.5. So the model leans San Antonio Spurs -18.5. Total: model 230.6, book 230.5 β€” leans over. The injury shadow disagrees β€” it leans Sacramento Kings. Locks at 7:30 PM ET.
🎯 Model pick · ⏳ Locks at 7:30 PM ET
Against the spread: SA -18.5
Total points: Over 230.5
Winner: SA (-1800) Β· 93%
⏳ Locks at 7:30 PM ET
Model says
San Antonio Spurs by 19.9 Β· win chance 93%
Model total points
230.6 (gap +0.1 vs book)
Book line (DraftKings)
spread -18.5 Β· total 230.5
moneyline +1000 / -1800
Model margin built from
efficiency +17.90 + home court 2.0 + rest (0.0, not priced)
+1.4 pts vs book line
Rest days
SAC 0d rest πŸ” B2B Β· SA 1d rest
Efficiency (net rating)
SAC -10.6 Β· SA +7.3
last season counts for 88%
Injury report: SAC 4 players Β· SA 2 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +14.7 vs official +19.9 β€” SAC +4.4 (Dylan Cardwell -0.8, Maxime Raynaud -1.3, Keegan Murray -2.2) Β· SA βˆ’0.8 (Tobias Harris 0.8) Β· unknown value: Ben Simmons, Jayden Quaintance
πŸ“– Full write-up
The model's read
The model makes San Antonio Spurs +19.9 (93% to win outright). DK has San Antonio Spurs -18.5. Model-vs-line gap: +1.4 pts.
By the inputs, the margin comes from efficiency (+17.90) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS SA; Locks at 7:30 PM ET.
Sacramento Kings β€” strengths & weaknesses
Sacramento Kings (SAC) ranks #30 at -10.6 net β€” 111.0 offense, 121.6 defense, 99.4 pace. 3 games played; priors carry 88% of the blend.
βœ— bottom-third offense (111.0 pts/100)
βœ— bottom-third defense (121.6 allowed/100)
San Antonio Spurs β€” strengths & weaknesses
San Antonio Spurs (SA) ranks #3 at +7.3 net β€” 118.4 offense, 111.1 defense, 100.1 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third offense (118.4 pts/100)
βœ“ top-third defense (111.1 allowed/100)
The exploitation map
San Antonio Spurs's top-third offense (118.4 pts/100) against Sacramento Kings's bottom-third defense (121.6 allowed) is the most direct exploitation on the board.
Rest gap: 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 game is decided where the best offense meets the worst defense β€” that's the matchup that matters most.
The biggest swing factor is Dylan Cardwell (Out for Sacramento Kings β€” Calf Strain).
Verdict: nothing clears the bar β€” the price is the game.
Rest
Sacramento Kings: 0d rest (second night of a back-to-back β€” NOT priced into the model)
San Antonio Spurs: 1d rest
Injuries
Sacramento Kings: Dylan Cardwell (Out β€” Calf Strain (return 2026-11-06)); Maxime Raynaud (Out β€” Knee Dislocated (return 2026-11-10)); Keegan Murray (Out β€” Ankle (return 2026-11-06)); Ben Simmons (Out β€” Achilles Surgery (return 2027-10-01)).
San Antonio Spurs: Tobias Harris (Out β€” Calf Strain (return 2026-10-28)); Jayden Quaintance (Out β€” Knee Surgery (return 2026-12-03)).
Line movement
Spread steady at -18.5
Model total 230.6 vs listed 230.5 (edge +0.1) β€” the model doesn't price totals into any pick; tracked for the forward test only.
Portland Trail Blazers @ Los Angeles Lakers
Tue Oct 27 Β· 11:00 PM EDT Β· 10/27 - 11:00 PM EDT
Model says Los Angeles Lakers by 3.4. The book line says Los Angeles Lakers by 2.5. So the model leans Los Angeles Lakers -2.5. Total: model 231.1, book 236.5 β€” leans under. Locks at 10:30 PM ET.
🎯 Model pick · ⏳ Locks at 10:30 PM ET
Against the spread: LAL -2.5
Total points: Under 236.5
Winner: LAL (-142) Β· 60%
⏳ Locks at 10:30 PM ET
Model says
Los Angeles Lakers by 3.4 Β· win chance 60%
Model total points
231.1 (gap -5.4 vs book)
Book line (DraftKings)
spread -2.5 Β· total 236.5
moneyline +120 / -142
Model margin built from
efficiency +1.43 + home court 2.0 + rest (0.0, not priced)
+0.9 pts vs book line
Rest days
POR 2d rest Β· LAL 1d rest
Efficiency (net rating)
POR +1.7 Β· LAL +3.1
last season counts for 88%
Injury report: POR 4 players Β· LAL 1 players
🩹 Injury shadow (NOT wired β€” forward test): margin (home) +2.6 vs official +3.4 β€” POR +1.4 (Scoot Henderson -0.3, Chris Youngblood -0.3, Shaedon Sharpe -0.9) Β· LAL +0.6 (Adou Thiero -0.6)
πŸ“– Full write-up
The model's read
The model makes Los Angeles Lakers +3.4 (60% to win outright). DK has Los Angeles Lakers -2.5. Model-vs-line gap: +0.9 pts.
By the inputs, the margin comes from efficiency (+1.43) + home court (2.0, tested 2021-22–2024-25); rest is priced at 0.0 (display only).
⏳ Live model pick: ATS LAL; Locks at 10:30 PM ET.
Portland Trail Blazers β€” strengths & weaknesses
Portland Trail Blazers (POR) ranks #14 at +1.7 net β€” 115.3 offense, 113.6 defense, 100.5 pace. 2 games played; priors carry 92% of the blend.
No clear strengths or weaknesses by the tercile test β€” a league-average profile.
Los Angeles Lakers β€” strengths & weaknesses
Los Angeles Lakers (LAL) ranks #12 at +3.1 net β€” 119.2 offense, 116.1 defense, 98.7 pace. 3 games played; priors carry 88% of the blend.
βœ“ top-third offense (119.2 pts/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 Chris Youngblood (Out for Portland Trail Blazers β€” Ankle Soreness).
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
Portland Trail Blazers: 2d rest
Los Angeles Lakers: 1d rest
Injuries
Portland Trail Blazers: Branden Carlson (Day-To-Day β€” Concussion Concussion (return 2026-10-27)); Scoot Henderson (Day-To-Day β€” Ankle Soreness (return 2026-10-27)); Chris Youngblood (Out β€” Ankle Soreness (return 2026-10-29)); Shaedon Sharpe (Out β€” Knee Surgery (return 2027-03-02)).
Los Angeles Lakers: Adou Thiero (Out β€” Knee Inflammation (return 2026-10-28)).
Line movement
Spread steady at -2.5
Model total 231.1 vs listed 236.5 (edge -5.4) 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
#1Brooklyn Nets @ Boston Celtics
Tue Oct 27 · 7:30 PM EDT		Boston Celtics+19.1+7.7-11.5⏳ Locks at 7:00 PM ET
#2Detroit Pistons @ New York Knicks
Tue Oct 27 · 8:00 PM EDT		Detroit Pistons-1.7-5.2-3.5⏳ Locks at 7:30 PM ET
#3Sacramento Kings @ San Antonio Spurs
Tue Oct 27 · 8:00 PM EDT		San Antonio Spurs+19.9+1.4-18.5⏳ Locks at 7:30 PM ET
#4Memphis Grizzlies @ Utah Jazz
Mon Oct 26 Β· 9:00 PM EDT		Memphis Grizzlies-2.6-1.11.5πŸ”’ locked pick
#5Portland Trail Blazers @ Los Angeles Lakers
Tue Oct 27 · 11:00 PM EDT		Los Angeles Lakers+3.4+0.9-2.5⏳ Locks at 10:30 PM ET

Top moneyline reads ranked by model win chance

#GameModel sideWin chanceBook MLBasis
#1Sacramento Kings @ San Antonio Spurs
Tue Oct 27 · 8:00 PM EDT		San Antonio Spurs93%-1800⏳ Locks at 7:30 PM ET
#2Brooklyn Nets @ Boston Celtics
Tue Oct 27 · 7:30 PM EDT		Boston Celtics92%-575⏳ Locks at 7:00 PM ET
#3Golden State Warriors @ Denver Nuggets
Mon Oct 26 Β· 10:00 PM EDT		Denver Nuggets73%-270πŸ”’ locked pick
#4Atlanta Hawks @ Houston Rockets
Mon Oct 26 Β· 8:30 PM EDT		Houston Rockets62%-192πŸ”’ locked pick
#5Portland Trail Blazers @ Los Angeles Lakers
Tue Oct 27 · 11:00 PM EDT		Los Angeles Lakers60%-142⏳ Locks at 10:30 PM ET

Top totals reads ranked by gap vs book total

#GameModel sideModel totalGap vs bookBook totalBasis
#1Detroit Pistons @ New York Knicks
Tue Oct 27 · 8:00 PM EDT		over224.8+6.3218.5⏳ Locks at 7:30 PM ET
#2Portland Trail Blazers @ Los Angeles Lakers
Tue Oct 27 · 11:00 PM EDT		under231.1-5.4236.5⏳ Locks at 10:30 PM ET
#3Golden State Warriors @ Denver Nuggets
Mon Oct 26 Β· 10:00 PM EDT		under231.4-5.1236.5πŸ”’ locked pick
#4Atlanta Hawks @ Houston Rockets
Mon Oct 26 Β· 8:30 PM EDT		under228.8-0.7229.5πŸ”’ locked pick
#5Brooklyn Nets @ Boston Celtics
Tue Oct 27 · 7:30 PM EDT		under222.1-0.4222.5⏳ Locks at 7:00 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+12.5-2.5πŸ”’ locked pick
Tue Oct 27BKN @ BOSBoston Celtics+7.7-11.5early look β€” not official
Tue Oct 27DET @ NYDetroit Pistons-5.2-3.5early look β€” not official
Mon Oct 26IND @ MILMilwaukee Bucks+5.23.5πŸ”’ locked pick

All games, model vs line

GameModel saysBook lineGap vs bookLeanModel total ptsBook totalTotal gap
WSH @ CHA+15.0 CHA-2.5+12.5CHA -2.5 πŸ“230.9225.5+5.4
MIN @ CLE-0.0 MIN-3.5-3.5MIN +3.5232.0234.5-2.5
CHI @ BOS+15.1 BOS-14.5+0.6BOS -14.5229.6233.5-3.9
DAL @ MIA+7.6 MIA-7.5+0.1MIA -7.5234.9240.5-5.6
IND @ MIL+1.6 MIL3.5+5.2MIL +3.5 πŸ“231.0239.5-8.5
PHX @ OKC+12.8 OKC-8.5+4.3OKC -8.5222.5221.5+1.0
ATL @ HOU+4.0 HOU-4.5-0.6ATL +4.5228.8228.5+0.3
MEM @ UTAH-2.6 MEM1.5-1.1MEM -1.5237.7237.5+0.2
GS @ DEN+8.3 DEN-6.5+1.9DEN -6.5231.4236.5-5.1
BKN @ BOS+19.1 BOS-11.5+7.7BOS -11.5 πŸ“222.1222.5-0.4
DET @ NY-1.7 DET-3.5-5.2DET +3.5 πŸ“224.8218.5+6.3
SAC @ SA+19.9 SA-18.5+1.4SA -18.5230.6230.5+0.1
POR @ LAL+3.4 LAL-2.5+0.9LAL -2.5231.1236.5-5.4
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%10/2110/2210/2310/2410/2510/2610/2710/28Tickets 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%Tickets on fav 10/26: 68.2%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%Handle on fav 10/26: 65.8%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: 9g 4 lopsided 6 sharp-div 7 2-src Β· 10/27: 4g 3 lopsided 4 sharp-div 0 2-src Β· 10/28: 1g 1 lopsided 1 sharp-div 0 2-src

8 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%10/2110/2210/2310/2410/2510/2610/2710/28Tickets (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%Tickets (bets%) 10/26: 68.2%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%Money (handle%) 10/26: 65.8%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%Over% 10/26: 37.1%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: -3.2pp10/25-3.210/26: -2.4pp10/26-2.4
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
27–16–0

62.8% (pushes excluded)

Winner (moneyline) locked winner pick vs actual winner
29–14

67.4%

Totals locked total pick vs locked book total
22–21–0

51.2% (pushes excluded)

Best Bets – Spread top-5 spread picks per slate
20–7–0

74.1% (pushes excluded)

Best Bets – Winner top-5 winner picks per slate
18–8

69.2%

Best Bets – Totals top-5 totals picks per slate
15–11–0

57.7% (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 ~15–20 games/team, early Dec) β€” the inputs were thin, the grades are not. 43 graded Β· 2 voided (excluded) Β· 3 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 25MEM @ SAC
123–112		MEM -3.5WUnder 234.5LMEMWβ˜…M β˜…T
Oct 26WSH @ CHA
103–110		CHA -2.5WOver 227.5LCHAWβ˜…S β˜…M β˜…T
Oct 26MIN @ CLE
125–127		MIN +3.5WUnder 234.5LMINLβ˜…S
Oct 26CHI @ BOS
99–134		BOS -13.5WUnder 233.5WBOSWβ˜…S β˜…M β˜…T
Oct 26DAL @ MIA
113–109		MIA -7.5LUnder 240.5WMIALβ˜…M β˜…T
Oct 26IND @ MIL
102–110		MIL +3.5WUnder 238.5WMILWβ˜…S β˜…T
Oct 26PHX @ OKC
114–125		OKC -8.5WOver 221.5WOKCWβ˜…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 1922–15–022–15–025–1225–1218–19–018–19–0
Wk of Oct 265–1–027–16–04–229–144–2–022–21–0
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+11.10117.5106.499.3388%
DETDetroit Pistons+8.74118.0109.299.4388%
SASan Antonio Spurs+7.31118.4111.1100.1388%
BOSBoston Celtics+7.28120.4113.194.8292%
HOUHouston Rockets+5.93119.1113.296.4388%
MINMinnesota Timberwolves+5.66117.1111.4100.6388%
NYNew York Knicks+4.95117.7112.797.1388%
DENDenver Nuggets+4.55121.6117.098.3292%
ATLAtlanta Hawks+3.96116.8112.8101.8388%
TORToronto Raptors+3.69115.0111.399.2388%
CLECleveland Cavaliers+3.63118.2114.6100.6292%
LALLos Angeles Lakers+3.12119.2116.198.7388%
CHACharlotte Hornets+3.00117.3114.397.2388%
PORPortland Trail Blazers+1.68115.3113.6100.5292%
LACLos Angeles Clippers+1.46116.5115.097.2388%
PHIPhiladelphia 76ers+0.38113.8113.4100.2484%
MIAMiami Heat+0.12115.4115.2103.4388%
PHXPhoenix Suns+0.09114.8114.797.0292%
ORLOrlando Magic-0.25113.8114.1100.4388%
GSGolden State Warriors-1.90114.7116.698.6388%
MEMMemphis Grizzlies-3.82113.7117.5101.1388%
NONew Orleans Pelicans-4.34114.8119.1100.5388%
DALDallas Mavericks-5.37111.2116.6101.6388%
CHIChicago Bulls-5.98112.2118.2103.1388%
INDIndiana Pacers-6.41111.7118.1101.3388%
MILMilwaukee Bucks-6.76112.9119.698.6388%
UTAHUtah Jazz-8.32114.1122.4102.2388%
WSHWashington Wizards-10.07111.2121.3101.8388%
BKNBrooklyn Nets-10.52108.5119.097.9388%
SACSacramento Kings-10.63111.0121.699.4388%
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.

49 finished games since Oct 20. 20 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 Timberwolves44-03-13-11-2-111-40.7%
Portland Trail Blazers21-12-02-00-1-15-20.7%
Toronto Raptors32-12-11-23-08-40.7%
Boston Celtics32-12-0-12-11-27-40.6%
Atlanta Hawks31-22-11-1-13-07-40.6%
Los Angeles Lakers31-23-02-0-11-27-40.6%
Oklahoma City Thunder43-12-22-1-12-29-60.6%
Houston Rockets33-02-11-1-10-2-16-40.6%
Memphis Grizzlies30-33-01-23-07-50.6%
Washington Wizards43-11-33-12-29-70.6%
Indiana Pacers41-32-23-13-19-70.6%
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%
Cleveland Cavaliers32-12-12-10-2-16-50.5%
Los Angeles Clippers32-11-21-22-16-60.5%
Philadelphia 76ers41-30-3-14-02-27-80.5%
Charlotte Hornets41-2-13-12-21-37-80.5%
Orlando Magic31-21-21-1-12-15-60.5%
Utah Jazz33-01-20-2-11-25-60.5%
Milwaukee Bucks42-22-22-21-37-90.4%
Dallas Mavericks41-32-22-22-27-90.4%
New Orleans Pelicans31-22-12-10-35-70.4%
Golden State Warriors32-10-31-22-15-70.4%
Sacramento Kings32-11-21-21-25-70.4%
Denver Nuggets21-11-10-21-13-50.4%
Miami Heat41-2-11-31-32-25-100.3%
Phoenix Suns30-31-21-1-11-1-13-70.3%
Chicago Bulls40-42-1-10-42-24-110.3%
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 Celtics329.025.029.024.334.027.326.031.0118.0107.7
Brooklyn Nets326.328.726.333.727.732.330.729.0111.0123.7
Charlotte Hornets424.227.030.027.526.825.823.030.8104.0111.0
Chicago Bulls422.034.033.229.527.238.828.227.2110.8129.5
Cleveland Cavaliers331.326.331.026.728.329.724.033.3114.7116.0
Dallas Mavericks431.029.526.028.829.529.826.028.0112.5116.0
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 Pacers429.533.026.829.231.026.229.226.5116.5115.0
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 Grizzlies329.031.034.724.329.031.026.321.3119.0107.7
Miami Heat429.032.226.531.024.532.029.026.5109.0121.8
Milwaukee Bucks427.826.229.233.035.034.224.828.8116.8122.2
Minnesota Timberwolves430.824.229.526.030.022.028.829.2119.0101.5
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 Thunder428.525.526.222.230.028.526.524.5111.2100.8
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 Suns320.333.729.330.734.735.025.024.3109.3123.7
Portland Trail Blazers235.022.530.529.039.526.521.023.5126.0101.5
Sacramento Kings330.031.029.031.324.335.026.026.7109.3124.0
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 Wizards423.825.827.232.232.026.031.230.5114.2114.5