NBA games

NY @ SAC

NBA Golden 1 Center ·Final
101–112
Final
Q1Q2Q3Q4T
NY17253425101
SAC32244016112

Statlab take

baseline_gbm
Last 10 (SAC) / 10 (NY) games this season
NY away
home SAC
74% 26%

GBT team-winner trained on ~3 seasons of NBA games (68.8% holdout accuracy). Features: 10-game rolling form / points-for / points-against diff + rest days + back-to-back flags.

Box score

Player MIN PTS REB AST
Mikal Bridges S 36 19 3 1
OG Anunoby S 27 15 3 4
Karl-Anthony Towns S 33 13 4 1
Jordan Clarkson 23 11 3 1
Miles McBride 28 10 6 6
Josh Hart S 32 10 5 5
Mitchell Robinson 19 8 11 0
Tyler Kolek 24 7 5 5
Jalen Brunson S 5 4 0 0
Ariel Hukporti 3 2 0 0
Player MIN PTS REB AST
DeMar DeRozan S 41 27 6 5
Zach LaVine S 36 25 5 1
Precious Achiuwa S 39 20 14 2
Russell Westbrook S 39 19 6 11
Maxime Raynaud S 27 10 4 0
Malik Monk 19 9 3 3
Dylan Cardwell 21 2 6 1
Keon Ellis 5 0 0 0
Nique Clifford 13 0 4 0

First basket

scorer · ROC 0.80
Trained on 67736 player-games
Actual
Jalen Brunson · Jumper (2 pts) · 11:39 Q1
"Jalen Brunson makes 11-foot driving floating jump shot"
Most likely first scorer (top 10)
1 DeMar DeRozan SAC
14%
2 Jalen Brunson NY
12%
3 Zach LaVine SAC
11%
4 OG Anunoby NY
10%
5 Russell Westbrook SAC
10%
6 Karl-Anthony Towns NY
9%
7 Maxime Raynaud SAC
9%
8 Josh Hart NY
8%
9 Precious Achiuwa SAC
7%
10 Mikal Bridges NY
7%
Method (given top scorer)
3PT
9%
Dunk
10%
Free Throw
24%
Jumper
23%
Layup
34%

Per-player binary classifier — features: starter status, recent PPG/FGA/3PM, starter-rate, home/away. Probabilities normalized so the field sums to 100%.

Statlab projections

Trained on 68258 player-games; PTS MAE 4.7 (naive 6.8)
# Player Team Pred PTS Pred REB Pred AST
1 Jalen Brunson NY 27.5 3.6 6.1
2 Karl-Anthony Towns NY 22.2 10.3 3.3
3 DeMar DeRozan SAC 19.6 4.1 5.1
4 Russell Westbrook SAC 18.3 5.0 6.4
5 Zach LaVine SAC 18.0 3.5 2.6
6 OG Anunoby NY 16.9 6.3 2.7
7 Josh Hart NY 14.7 7.9 4.8
8 Miles McBride NY 14.4 2.7 2.3
9 Dennis Schroder SAC 13.9 3.1 5.6
10 Mikal Bridges NY 13.5 4.9 5.0
11 Maxime Raynaud SAC 12.2 7.8 1.5
12 Malik Monk SAC 9.1 2.2 2.4
13 Jordan Clarkson NY 8.7 1.9 1.2
14 Keon Ellis SAC 7.0 2.2 1.0
15 Nique Clifford SAC 7.0 2.8 1.5
16 Precious Achiuwa SAC 6.6 4.7 1.5
17 Tyler Kolek NY 6.6 2.8 3.5
18 Mitchell Robinson NY 6.3 9.4 1.3
19 Dylan Cardwell SAC 6.3 7.3 1.2
20 Daeqwon Plowden SAC 3.9 1.3 0.6
21 Drew Eubanks SAC 3.5 1.9 0.5
22 Dario Saric SAC 3.4 1.1 0.4
23 Mohamed Diawara NY 3.4 1.7 0.6
24 Devin Carter SAC 3.1 1.3 0.9
25 Guerschon Yabusele NY 2.9 1.5 0.5
26 Doug McDermott SAC 2.8 0.7 0.4
27 Ariel Hukporti NY 2.2 3.0 0.6
28 Pacome Dadiet NY 1.5 1.0 0.4

GBT MultiOutput regressor per player — 9 targets (PTS/REB/AST/STL/BLK/TO/MIN/FG/3PT). Features: rolling form last 10 games + opponent allowed averages + rest days. Sorted by predicted PTS.