Oklahoma City Thunder
2023 Team Stats (83 games)
117.4
PPG
116.4
Opp
+1.1
Margin
46.7%
FG%
36.1%
3P%
81.0%
FT%
43.1
RPG
24.4
APG
12.7
TO
115.0
Pace
118.6
AdjO
115.7
AdjD
#15
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 → | 1185 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1215 (#1) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.0 (#1) | HCA +2.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.559 (#12) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.522 (#15) | NetEff +0.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.570 (#16) | AdjNet +2.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.571 (#16) | AdjNet +2.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.566 (#15) | AdjO 118.6 | AdjD 115.7 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-10-20 | @ | MIN | L | 108 - 115 |
| 2022-10-23 | @ | DEN | L | 117 - 122 |
| 2022-10-24 | vs | MIN | L | 106 - 116 |
| 2022-10-26 | vs | LAC | W | 108 - 94 |
| 2022-10-28 | vs | LAC | W | 118 - 110 |
| 2022-10-30 | @ | DAL | W | 117 - 111 |
| 2022-11-02 | vs | ORL | W | 116 - 108 |
| 2022-11-04 | vs | DEN | L | 110 - 122 |
| 2022-11-06 | @ | MIL | L | 94 - 108 |
| 2022-11-08 | @ | DET | L | 103 - 112 |
| 2022-11-10 | vs | MIL | L | 132 - 136 |
| 2022-11-12 | vs | TOR | W | 132 - 113 |
| 2022-11-13 | @ | NYK | W | 145 - 135 |
| 2022-11-15 | @ | BOS | L | 122 - 126 |
| 2022-11-17 | @ | WAS | W | 121 - 120 |
| 2022-11-19 | @ | MEM | L | 110 - 121 |
| 2022-11-22 | vs | NYK | L | 119 - 129 |
| 2022-11-24 | vs | DEN | L | 126 - 131 |
| 2022-11-26 | vs | CHI | W | 123 - 119 |
| 2022-11-27 | @ | HOU | L | 105 - 118 |
| 2022-11-29 | @ | NOP | L | 101 - 105 |
| 2022-12-01 | vs | SAS | W | 119 - 111 |
| 2022-12-04 | @ | MIN | W | 135 - 128 |
| 2022-12-06 | @ | ATL | W | 121 - 114 |
| 2022-12-08 | @ | MEM | L | 102 - 123 |
| 2022-12-11 | @ | CLE | L | 102 - 110 |
| 2022-12-13 | @ | DAL | L | 114 - 121 |
| 2022-12-15 | vs | MIA | L | 108 - 110 |
| 2022-12-17 | vs | MIN | L | 110 - 112 |
| 2022-12-18 | vs | MEM | W | 115 - 109 |
| 2022-12-20 | vs | POR | W | 123 - 121 |
| 2022-12-22 | vs | POR | W | 101 - 98 |
| 2022-12-24 | vs | NOP | L | 125 - 128 |
| 2022-12-28 | vs | SAS | W | 130 - 114 |
| 2022-12-30 | @ | CHA | L | 113 - 121 |
| 2023-01-01 | vs | PHI | L | 96 - 115 |
| 2023-01-04 | vs | BOS | W | 150 - 117 |
| 2023-01-05 | @ | ORL | L | 115 - 126 |
| 2023-01-07 | vs | WAS | W | 127 - 110 |
| 2023-01-09 | vs | DAL | W | 120 - 109 |
| 2023-01-11 | @ | MIA | L | 111 - 112 |
| 2023-01-13 | @ | PHI | W | 133 - 114 |
| 2023-01-14 | @ | CHI | W | 124 - 110 |
| 2023-01-15 | @ | BKN | W | 112 - 102 |
| 2023-01-19 | vs | IND | W | 126 - 106 |
| 2023-01-21 | @ | SAC | L | 113 - 118 |
| 2023-01-23 | @ | DEN | W | 101 - 99 |
| 2023-01-26 | vs | ATL | L | 132 - 137 |
| 2023-01-28 | vs | CLE | W | 112 - 100 |
| 2023-01-31 | vs | GSW | L | 120 - 128 |
| 2023-02-02 | @ | HOU | L | 106 - 112 |
| 2023-02-05 | vs | HOU | W | 153 - 121 |
| 2023-02-07 | @ | GSW | L | 114 - 141 |
| 2023-02-08 | @ | LAL | W | 133 - 130 |
| 2023-02-11 | @ | POR | W | 138 - 129 |
| 2023-02-14 | vs | NOP | L | 100 - 103 |
| 2023-02-16 | vs | HOU | W | 133 - 96 |
| 2023-02-24 | @ | UTA | L | 119 - 120 |
| 2023-02-25 | @ | PHX | L | 115 - 124 |
| 2023-02-27 | vs | SAC | L | 115 - 124 |
| 2023-03-01 | vs | SAC | L | 117 - 123 |
| 2023-03-02 | vs | LAL | L | 117 - 123 |
| 2023-03-04 | vs | UTA | W | 130 - 103 |
| 2023-03-06 | vs | UTA | W | 129 - 119 |
| 2023-03-08 | vs | GSW | W | 137 - 128 |
| 2023-03-09 | @ | PHX | L | 101 - 132 |
| 2023-03-12 | @ | NOP | W | 110 - 96 |
| 2023-03-12 | @ | SAS | W | 102 - 90 |
| 2023-03-15 | vs | BKN | W | 121 - 107 |
| 2023-03-16 | @ | TOR | L | 111 - 128 |
| 2023-03-19 | vs | PHX | W | 124 - 120 |
| 2023-03-22 | @ | LAC | W | 101 - 100 |
| 2023-03-24 | @ | LAC | L | 105 - 127 |
| 2023-03-25 | @ | LAL | L | 111 - 116 |
| 2023-03-26 | @ | POR | W | 118 - 112 |
| 2023-03-29 | vs | CHA | L | 134 - 137 |
| 2023-03-30 | vs | DET | W | 107 - 106 |
| 2023-03-31 | @ | IND | L | 117 - 121 |
| 2023-04-02 | vs | PHX | L | 118 - 128 |
| 2023-04-05 | @ | GSW | L | 125 - 136 |
| 2023-04-07 | @ | UTA | W | 114 - 98 |
| 2023-04-09 | vs | MEM | W | 115 - 100 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shai Gilgeous-Alexander
|
PG | 68 | 35.0 | 31.4 | 4.8 | 5.5 | 1.6 | 1.0 | 0.0 | 20.3 | 24.0 | - | - | - | 51.0 | 34.5 | 90.5 | - | 62.6 | 53.1 |
Josh Giddey
|
SG | 76 | 30.7 | 16.6 | 7.9 | 6.2 | 0.8 | 0.4 | 0.0 | 14.7 | 17.1 | - | - | - | 48.2 | 32.5 | 73.1 | - | 53.3 | 51.6 |
| Jalen Williams | SG | 75 | 29.9 | 14.1 | 4.5 | 3.3 | 1.4 | 0.5 | 0.0 | 10.6 | 13.1 | - | - | - | 52.1 | 35.6 | 81.2 | - | 60.1 | 56.7 |
Luguentz Dort
|
SG | 74 | 30.2 | 13.7 | 4.6 | 2.1 | 1.0 | 0.3 | 0.0 | 11.8 | 9.9 | - | - | - | 38.8 | 33.0 | 77.2 | - | 51.3 | 46.6 |
Isaiah Joe
|
SG | 73 | 18.6 | 9.5 | 2.4 | 1.2 | 0.7 | 0.1 | 0.0 | 7.0 | 6.9 | - | - | - | 44.1 | 40.9 | 82.0 | - | 62.6 | 59.9 |
Aleksej Pokusevski
|
PF | 34 | 20.2 | 8.1 | 4.7 | 1.9 | 0.6 | 1.3 | 0.0 | 7.3 | 9.2 | - | - | - | 43.4 | 36.5 | 62.9 | - | 52.2 | 51.0 |
Kenrich Williams
|
SF | 53 | 22.3 | 8.0 | 4.9 | 2.0 | 0.8 | 0.3 | 0.0 | 6.5 | 9.5 | - | - | - | 51.9 | 37.3 | 43.6 | - | 58.7 | 59.1 |
Tre Mann
|
SG | 67 | 17.1 | 7.7 | 2.3 | 1.8 | 0.6 | 0.2 | 0.0 | 7.5 | 5.1 | - | - | - | 39.3 | 31.5 | 76.4 | - | 49.2 | 47.4 |
Dario Saric
|
- | 20 | 13.3 | 7.3 | 3.2 | 0.8 | 0.3 | 0.1 | 0.0 | 5.0 | 7.0 | - | - | - | 51.5 | 39.1 | 84.4 | - | 65.0 | 60.6 |
Aaron Wiggins
|
SF | 70 | 18.0 | 6.8 | 3.0 | 1.1 | 0.6 | 0.2 | 0.0 | 5.2 | 6.6 | - | - | - | 51.2 | 39.3 | 83.1 | - | 60.7 | 57.9 |
Jeremiah Robinson-Earl
|
PF | 43 | 18.4 | 6.8 | 4.2 | 1.0 | 0.6 | 0.3 | 0.0 | 5.8 | 7.0 | - | - | - | 44.4 | 33.3 | 83.3 | - | 54.8 | 51.8 |
Jared Butler
|
PG | 6 | 12.2 | 6.2 | 0.7 | 1.3 | 0.8 | 0.0 | 0.0 | 5.3 | 3.7 | - | - | - | 46.9 | 50.0 | 0 | - | 57.8 | 57.8 |
Mike Muscala
|
C | 43 | 13.9 | 6.2 | 3.1 | 0.9 | 0.3 | 0.4 | 0.0 | 4.7 | 6.2 | - | - | - | 43.8 | 39.4 | 79.5 | - | 60.2 | 57.6 |
| Jaylin Williams | C | 49 | 18.2 | 5.9 | 4.9 | 1.6 | 0.6 | 0.2 | 0.0 | 4.8 | 8.4 | - | - | - | 43.6 | 40.7 | 70.4 | - | 55.9 | 53.4 |
Darius Bazley
|
C | 36 | 14.9 | 5.4 | 3.4 | 0.9 | 0.5 | 0.8 | 0.0 | 4.4 | 6.7 | - | - | - | 44.9 | 40.0 | 55.4 | - | 52.5 | 50.6 |
Lindy Waters III
|
- | 41 | 12.4 | 5.2 | 1.8 | 0.7 | 0.3 | 0.3 | 0.0 | 4.3 | 4.0 | - | - | - | 39.3 | 35.8 | 80.0 | - | 57.3 | 55.6 |
Eugene Omoruyi
|
PF | 23 | 11.4 | 4.9 | 2.3 | 0.5 | 0.6 | 0.0 | 0.0 | 4.1 | 4.2 | - | - | - | 46.8 | 25.8 | 60.7 | - | 53.1 | 51.1 |
Ousmane Dieng
|
SF | 39 | 14.1 | 4.9 | 2.7 | 1.2 | 0.4 | 0.2 | 0.0 | 4.6 | 4.7 | - | - | - | 42.0 | 26.5 | 65.2 | - | 50.5 | 49.2 |
Olivier Sarr
|
C | 9 | 12.1 | 4.0 | 3.4 | 0.4 | 0.1 | 0.6 | 0.0 | 3.3 | 5.2 | - | - | - | 50.0 | 12.5 | 71.4 | - | 54.4 | 51.7 |
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