Golden State
2023 Team Stats (94 games)
117.9
PPG
117.1
Opp
+1.8
Margin
47.5%
FG%
38.1%
3P%
78.4%
FT%
45.4
RPG
29.5
APG
15.5
TO
114.8
Pace
119.6
AdjO
116.2
AdjD
#13
Rank
Model Outputs
2022-2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1099 (#11) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1068 (#17) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.0 (#9) | HCA +2.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.544 (#13) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.535 (#13) | NetEff +1.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.590 (#12) | AdjNet +3.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.591 (#12) | AdjNet +3.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.576 (#13) | AdjO 119.6 | AdjD 116.2 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-10-19 | vs | LAL | W | 123 - 109 |
| 2022-10-22 | vs | DEN | L | 123 - 128 |
| 2022-10-24 | vs | SAC | W | 130 - 125 |
| 2022-10-26 | @ | PHX | L | 105 - 134 |
| 2022-10-28 | vs | MIA | W | 123 - 110 |
| 2022-10-29 | @ | CHA | L | 113 - 120 |
| 2022-10-30 | @ | DET | L | 114 - 128 |
| 2022-11-01 | @ | MIA | L | 109 - 116 |
| 2022-11-03 | @ | ORL | L | 129 - 130 |
| 2022-11-05 | @ | NOP | L | 105 - 114 |
| 2022-11-08 | vs | SAC | W | 116 - 113 |
| 2022-11-12 | vs | CLE | W | 106 - 101 |
| 2022-11-14 | @ | SAC | L | 115 - 122 |
| 2022-11-15 | vs | SAS | W | 132 - 95 |
| 2022-11-17 | @ | PHX | L | 119 - 130 |
| 2022-11-19 | vs | NYK | W | 111 - 101 |
| 2022-11-21 | @ | HOU | W | 127 - 120 |
| 2022-11-22 | @ | NOP | L | 83 - 128 |
| 2022-11-24 | vs | LAC | W | 124 - 107 |
| 2022-11-26 | vs | UTA | W | 129 - 118 |
| 2022-11-27 | @ | MIN | W | 137 - 114 |
| 2022-11-30 | @ | DAL | L | 113 - 116 |
| 2022-12-03 | vs | CHI | W | 119 - 111 |
| 2022-12-04 | vs | HOU | W | 120 - 101 |
| 2022-12-06 | vs | IND | L | 104 - 112 |
| 2022-12-08 | @ | UTA | L | 123 - 124 |
| 2022-12-11 | vs | BOS | W | 123 - 107 |
| 2022-12-14 | @ | MIL | L | 111 - 128 |
| 2022-12-15 | @ | IND | L | 119 - 125 |
| 2022-12-17 | @ | PHI | L | 106 - 118 |
| 2022-12-18 | @ | TOR | W | 126 - 110 |
| 2022-12-21 | @ | NYK | L | 94 - 132 |
| 2022-12-22 | @ | BKN | L | 113 - 143 |
| 2022-12-26 | vs | MEM | W | 123 - 109 |
| 2022-12-28 | vs | CHA | W | 110 - 105 |
| 2022-12-29 | vs | UTA | W | 112 - 107 |
| 2022-12-31 | vs | POR | W | 118 - 112 |
| 2023-01-03 | vs | ATL | W | 143 - 141 |
| 2023-01-05 | vs | DET | L | 119 - 122 |
| 2023-01-08 | vs | ORL | L | 101 - 115 |
| 2023-01-11 | vs | PHX | L | 113 - 125 |
| 2023-01-14 | @ | SAS | W | 144 - 113 |
| 2023-01-15 | @ | CHI | L | 118 - 132 |
| 2023-01-16 | @ | WAS | W | 127 - 118 |
| 2023-01-20 | @ | BOS | L | 118 - 121 |
| 2023-01-21 | @ | CLE | W | 120 - 114 |
| 2023-01-23 | vs | BKN | L | 116 - 120 |
| 2023-01-26 | vs | MEM | W | 122 - 120 |
| 2023-01-28 | vs | TOR | W | 129 - 117 |
| 2023-01-31 | @ | OKC | W | 128 - 120 |
| 2023-02-02 | @ | MIN | L | 114 - 119 |
| 2023-02-03 | @ | DEN | L | 117 - 134 |
| 2023-02-05 | vs | DAL | W | 119 - 113 |
| 2023-02-07 | vs | OKC | W | 141 - 114 |
| 2023-02-09 | @ | POR | L | 122 - 125 |
| 2023-02-12 | vs | LAL | L | 103 - 109 |
| 2023-02-14 | vs | WAS | W | 135 - 126 |
| 2023-02-15 | @ | LAC | L | 124 - 134 |
| 2023-02-24 | @ | LAL | L | 111 - 124 |
| 2023-02-25 | vs | HOU | W | 116 - 101 |
| 2023-02-27 | vs | MIN | W | 109 - 104 |
| 2023-03-01 | vs | POR | W | 123 - 105 |
| 2023-03-03 | vs | LAC | W | 115 - 91 |
| 2023-03-04 | vs | NOP | W | 108 - 99 |
| 2023-03-05 | @ | LAL | L | 105 - 113 |
| 2023-03-08 | @ | OKC | L | 128 - 137 |
| 2023-03-10 | @ | MEM | L | 110 - 131 |
| 2023-03-12 | vs | MIL | W | 125 - 116 |
| 2023-03-14 | vs | PHX | W | 123 - 112 |
| 2023-03-16 | @ | LAC | L | 126 - 134 |
| 2023-03-17 | @ | ATL | L | 119 - 127 |
| 2023-03-19 | @ | MEM | L | 119 - 133 |
| 2023-03-21 | @ | HOU | W | 121 - 108 |
| 2023-03-22 | @ | DAL | W | 127 - 125 |
| 2023-03-25 | vs | PHI | W | 120 - 112 |
| 2023-03-27 | vs | MIN | L | 96 - 99 |
| 2023-03-29 | vs | NOP | W | 120 - 109 |
| 2023-04-01 | vs | SAS | W | 130 - 115 |
| 2023-04-03 | @ | DEN | L | 110 - 112 |
| 2023-04-05 | vs | OKC | W | 136 - 125 |
| 2023-04-08 | @ | SAC | W | 119 - 97 |
| 2023-04-09 | @ | POR | W | 157 - 101 |
2023 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Stephen Curry
|
PG | 56 | 34.1 | 29.4 | 6.1 | 6.3 | 0.9 | 0.4 | 0.0 | 20.2 | 22.9 | - | - | - | 49.3 | 42.7 | 91.5 | - | 65.6 | 61.4 |
Klay Thompson
|
SG | 69 | 32.5 | 21.9 | 4.1 | 2.4 | 0.7 | 0.4 | 0.0 | 18.1 | 11.4 | - | - | - | 43.6 | 41.2 | 87.9 | - | 57.6 | 55.6 |
Jordan Poole
|
SG | 82 | 29.5 | 20.4 | 2.7 | 4.5 | 0.8 | 0.3 | 0.0 | 15.6 | 13.1 | - | - | - | 43.0 | 33.6 | 87.0 | - | 57.3 | 51.4 |
Andrew Wiggins
|
SF | 37 | 31.6 | 17.1 | 5.0 | 2.3 | 1.2 | 0.8 | 0.0 | 14.3 | 12.1 | - | - | - | 47.3 | 39.6 | 61.1 | - | 56.4 | 55.7 |
Jonathan Kuminga
|
SF | 67 | 20.3 | 9.9 | 3.4 | 1.9 | 0.6 | 0.4 | 0.0 | 7.4 | 8.9 | - | - | - | 52.5 | 37.0 | 65.2 | - | 59.7 | 57.9 |
Donte DiVincenzo
|
SG | 72 | 25.8 | 9.4 | 4.5 | 3.5 | 1.3 | 0.1 | 0.0 | 7.5 | 11.4 | - | - | - | 43.5 | 39.7 | 81.7 | - | 59.3 | 57.4 |
| Draymond Green | SF | 73 | 31.0 | 8.5 | 7.2 | 6.8 | 1.0 | 0.8 | 0.0 | 6.5 | 17.8 | - | - | - | 52.7 | 30.5 | 71.3 | - | 59.2 | 57.0 |
Kevon Looney
|
C | 82 | 23.4 | 7.0 | 9.3 | 2.5 | 0.6 | 0.6 | 0.0 | 4.7 | 15.4 | - | - | - | 63.0 | 0.0 | 60.6 | - | 63.9 | 63.0 |
James Wiseman
|
- | 21 | 12.0 | 6.9 | 3.5 | 0.7 | 0.1 | 0.3 | 0.0 | 4.5 | 7.0 | - | - | - | 62.8 | 50.0 | 68.4 | - | 65.5 | 63.3 |
Ty Jerome
|
SG | 45 | 17.6 | 6.9 | 1.8 | 3.0 | 0.5 | 0.1 | 0.0 | 5.4 | 6.9 | - | - | - | 48.8 | 38.9 | 92.7 | - | 59.4 | 56.0 |
Anthony Lamb
|
SF | 62 | 18.8 | 6.7 | 3.5 | 1.5 | 0.5 | 0.3 | 0.0 | 5.1 | 7.4 | - | - | - | 47.1 | 36.7 | 76.7 | - | 61.0 | 58.8 |
JaMychal Green
|
PF | 57 | 13.4 | 6.4 | 3.6 | 0.9 | 0.4 | 0.4 | 0.0 | 4.4 | 7.3 | - | - | - | 54.0 | 37.8 | 77.6 | - | 65.0 | 62.3 |
Gary Payton II
|
- | 7 | 15.6 | 5.7 | 4.3 | 1.1 | 0.9 | 0.6 | 0.0 | 4.0 | 8.6 | - | - | - | 60.7 | 44.4 | 66.7 | - | 68.2 | 67.9 |
Moses Moody
|
SG | 63 | 12.5 | 4.8 | 1.7 | 0.8 | 0.3 | 0.1 | 0.0 | 3.6 | 4.1 | - | - | - | 47.6 | 36.3 | 69.8 | - | 60.3 | 58.4 |
Patrick Baldwin Jr.
|
- | 31 | 6.8 | 3.9 | 1.3 | 0.4 | 0.2 | 0.1 | 0.0 | 3.5 | 2.4 | - | - | - | 39.4 | 38.1 | 66.7 | - | 54.6 | 54.1 |
Lester Quinones
|
- | 4 | 4.0 | 2.5 | 0.8 | 0.5 | 0.2 | 0.0 | 0.0 | 1.2 | 2.8 | - | - | - | 40.0 | 50.0 | 66.7 | - | 65.4 | 60.0 |
Andre Iguodala
|
- | 8 | 13.5 | 2.1 | 2.1 | 2.4 | 0.5 | 0.4 | 0.0 | 1.9 | 5.6 | - | - | - | 46.7 | 11.1 | 66.7 | - | 52.1 | 50.0 |
Ryan Rollins
|
- | 12 | 4.7 | 1.9 | 1.0 | 0.5 | 0.1 | 0.1 | 0.0 | 1.7 | 1.9 | - | - | - | 35.0 | 33.3 | 100.0 | - | 50.8 | 42.5 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG