San Antonio Spurs
2023 Team Stats (81 games)
112.7
PPG
123.1
Opp
-10.1
Margin
46.5%
FG%
34.0%
3P%
74.1%
FT%
43.6
RPG
27.1
APG
14.8
TO
116.6
Pace
113.2
AdjO
121.5
AdjD
#33
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 → | 1173 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1003 (#34) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.3 (#25) | HCA +2.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.268 (#32) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.274 (#32) | NetEff -9.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.310 (#32) | AdjNet -6.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.310 (#32) | AdjNet -6.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.320 (#33) | AdjO 113.2 | AdjD 121.5 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-10-20 | vs | CHA | L | 102 - 129 |
| 2022-10-21 | @ | IND | W | 137 - 134 |
| 2022-10-22 | @ | PHI | W | 114 - 105 |
| 2022-10-25 | @ | MIN | W | 115 - 106 |
| 2022-10-27 | @ | MIN | L | 122 - 134 |
| 2022-10-29 | vs | CHI | W | 129 - 124 |
| 2022-10-30 | vs | MIN | W | 107 - 98 |
| 2022-11-03 | vs | TOR | L | 100 - 143 |
| 2022-11-05 | vs | LAC | L | 106 - 113 |
| 2022-11-06 | @ | DEN | L | 101 - 126 |
| 2022-11-08 | vs | DEN | L | 109 - 115 |
| 2022-11-10 | vs | MEM | L | 122 - 124 |
| 2022-11-12 | vs | MIL | W | 111 - 93 |
| 2022-11-15 | @ | GSW | L | 95 - 132 |
| 2022-11-16 | @ | POR | L | 110 - 117 |
| 2022-11-18 | @ | SAC | L | 112 - 130 |
| 2022-11-20 | @ | LAC | L | 97 - 119 |
| 2022-11-21 | @ | LAL | L | 92 - 123 |
| 2022-11-24 | vs | NOP | L | 110 - 129 |
| 2022-11-26 | vs | LAL | L | 94 - 105 |
| 2022-11-27 | vs | LAL | L | 138 - 143 |
| 2022-12-01 | @ | OKC | L | 111 - 119 |
| 2022-12-03 | vs | NOP | L | 99 - 117 |
| 2022-12-04 | vs | PHX | L | 95 - 133 |
| 2022-12-09 | vs | HOU | W | 118 - 109 |
| 2022-12-10 | @ | MIA | W | 115 - 111 |
| 2022-12-13 | vs | CLE | W | 112 - 111 |
| 2022-12-15 | vs | POR | L | 112 - 128 |
| 2022-12-17 | vs | MIA | L | 101 - 111 |
| 2022-12-20 | @ | HOU | W | 124 - 105 |
| 2022-12-23 | @ | NOP | L | 117 - 126 |
| 2022-12-24 | @ | ORL | L | 113 - 133 |
| 2022-12-27 | vs | UTA | W | 126 - 122 |
| 2022-12-28 | @ | OKC | L | 114 - 130 |
| 2022-12-30 | vs | NYK | W | 122 - 115 |
| 2023-01-01 | vs | DAL | L | 125 - 126 |
| 2023-01-03 | @ | BKN | L | 103 - 139 |
| 2023-01-05 | @ | NYK | L | 114 - 117 |
| 2023-01-07 | vs | DET | W | 121 - 109 |
| 2023-01-07 | vs | BOS | L | 116 - 121 |
| 2023-01-10 | @ | MEM | L | 113 - 121 |
| 2023-01-12 | @ | MEM | L | 129 - 135 |
| 2023-01-14 | vs | GSW | L | 113 - 144 |
| 2023-01-16 | vs | SAC | L | 119 - 132 |
| 2023-01-18 | vs | BKN | W | 106 - 98 |
| 2023-01-21 | vs | LAC | L | 126 - 131 |
| 2023-01-24 | @ | POR | L | 127 - 147 |
| 2023-01-26 | @ | LAL | L | 104 - 113 |
| 2023-01-27 | @ | LAC | L | 100 - 138 |
| 2023-01-29 | vs | PHX | L | 118 - 128 |
| 2023-01-31 | vs | WAS | L | 106 - 127 |
| 2023-02-02 | vs | SAC | L | 109 - 119 |
| 2023-02-04 | vs | PHI | L | 125 - 137 |
| 2023-02-07 | @ | CHI | L | 104 - 128 |
| 2023-02-09 | @ | TOR | L | 98 - 112 |
| 2023-02-11 | @ | DET | L | 131 - 138 |
| 2023-02-12 | @ | ATL | L | 106 - 125 |
| 2023-02-14 | @ | CLE | L | 109 - 117 |
| 2023-02-16 | @ | CHA | L | 110 - 120 |
| 2023-02-24 | @ | DAL | L | 116 - 142 |
| 2023-02-26 | @ | UTA | L | 102 - 118 |
| 2023-03-01 | @ | UTA | W | 102 - 94 |
| 2023-03-03 | vs | IND | W | 110 - 99 |
| 2023-03-05 | vs | HOU | L | 110 - 122 |
| 2023-03-06 | @ | HOU | L | 110 - 142 |
| 2023-03-11 | vs | DEN | W | 128 - 120 |
| 2023-03-12 | vs | OKC | L | 90 - 102 |
| 2023-03-15 | vs | ORL | W | 132 - 114 |
| 2023-03-16 | vs | DAL | L | 128 - 137 |
| 2023-03-18 | vs | MEM | L | 120 - 126 |
| 2023-03-19 | vs | ATL | W | 126 - 118 |
| 2023-03-22 | @ | NOP | L | 84 - 119 |
| 2023-03-23 | @ | MIL | L | 94 - 130 |
| 2023-03-24 | @ | WAS | L | 124 - 136 |
| 2023-03-26 | @ | BOS | L | 93 - 137 |
| 2023-03-30 | vs | UTA | L | 117 - 128 |
| 2023-04-01 | @ | GSW | L | 115 - 130 |
| 2023-04-02 | @ | SAC | W | 142 - 134 |
| 2023-04-05 | @ | PHX | L | 94 - 115 |
| 2023-04-07 | vs | POR | W | 129 - 127 |
| 2023-04-08 | vs | MIN | L | 131 - 151 |
| 2023-04-09 | @ | DAL | W | 138 - 117 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Keldon Johnson
|
SG | 63 | 32.2 | 22.0 | 5.0 | 2.9 | 0.7 | 0.2 | 0.0 | 17.7 | 13.2 | - | - | - | 45.2 | 32.9 | 74.9 | - | 55.1 | 51.2 |
Devin Vassell
|
SG | 38 | 30.6 | 18.5 | 3.9 | 3.6 | 1.1 | 0.4 | 0.0 | 15.7 | 11.9 | - | - | - | 43.9 | 38.7 | 78.0 | - | 55.0 | 52.5 |
Devonte' Graham
|
SG | 20 | 25.9 | 12.9 | 2.5 | 4.0 | 0.8 | 0.3 | 0.0 | 10.0 | 10.5 | - | - | - | 38.0 | 35.8 | 75.0 | - | 55.9 | 51.2 |
Tre Jones
|
SG | 68 | 28.7 | 12.9 | 3.6 | 6.6 | 1.3 | 0.1 | 0.0 | 10.9 | 13.6 | - | - | - | 45.9 | 28.5 | 86.0 | - | 53.4 | 48.9 |
Jakob Poeltl
|
C | 46 | 25.5 | 12.1 | 9.0 | 3.1 | 0.8 | 1.1 | 0.0 | 8.4 | 17.7 | - | - | - | 61.6 | 0.0 | 60.5 | - | 62.5 | 61.6 |
Zach Collins
|
C | 63 | 22.4 | 11.6 | 6.4 | 2.9 | 0.6 | 0.8 | 0.0 | 8.7 | 13.5 | - | - | - | 51.8 | 37.4 | 76.1 | - | 59.9 | 56.8 |
Josh Richardson
|
SG | 42 | 23.3 | 11.5 | 2.8 | 3.3 | 1.0 | 0.3 | 0.0 | 9.7 | 9.1 | - | - | - | 43.6 | 35.7 | 88.3 | - | 55.6 | 52.7 |
Jeremy Sochan
|
SF | 56 | 25.6 | 11.0 | 5.3 | 2.5 | 0.8 | 0.4 | 0.0 | 9.9 | 10.1 | - | - | - | 45.3 | 24.6 | 69.8 | - | 50.9 | 48.3 |
Julian Champagnie
|
SF | 15 | 20.3 | 11.0 | 4.0 | 0.7 | 0.3 | 0.3 | 0.0 | 8.5 | 7.8 | - | - | - | 46.1 | 40.7 | 82.4 | - | 60.9 | 59.0 |
Sandro Mamukelashvili
|
C | 19 | 22.9 | 10.8 | 6.8 | 2.4 | 0.5 | 0.4 | 0.0 | 9.1 | 11.9 | - | - | - | 45.3 | 34.3 | 69.2 | - | 54.5 | 52.0 |
Doug McDermott
|
- | 64 | 20.1 | 10.2 | 2.2 | 1.4 | 0.2 | 0.1 | 0.0 | 8.2 | 5.9 | - | - | - | 45.7 | 41.3 | 75.7 | - | 59.0 | 57.5 |
Malaki Branham
|
SG | 66 | 22.9 | 10.2 | 2.7 | 1.9 | 0.5 | 0.1 | 0.0 | 9.3 | 6.2 | - | - | - | 44.0 | 30.2 | 82.9 | - | 52.4 | 50.3 |
Keita Bates-Diop
|
SG | 67 | 21.2 | 9.7 | 3.7 | 1.5 | 0.7 | 0.3 | 0.0 | 6.9 | 8.9 | - | - | - | 50.8 | 39.4 | 79.3 | - | 60.9 | 56.8 |
Joshua Primo
|
- | 4 | 22.8 | 7.0 | 3.2 | 4.5 | 0.2 | 0.5 | 0.0 | 6.5 | 9.0 | - | - | - | 34.6 | 25.0 | 77.8 | - | 46.7 | 40.4 |
Romeo Langford
|
SG | 43 | 19.3 | 6.9 | 2.7 | 1.2 | 0.6 | 0.3 | 0.0 | 6.0 | 5.6 | - | - | - | 46.7 | 26.2 | 69.6 | - | 52.4 | 49.8 |
Stanley Johnson
|
- | 30 | 15.1 | 5.8 | 3.2 | 2.2 | 0.5 | 0.2 | 0.0 | 4.1 | 7.9 | - | - | - | 53.3 | 45.0 | 66.7 | - | 62.5 | 60.7 |
Charles Bassey
|
C | 35 | 13.9 | 5.7 | 5.5 | 1.4 | 0.5 | 0.9 | 0.0 | 3.9 | 10.1 | - | - | - | 64.4 | 37.5 | 59.5 | - | 65.8 | 65.6 |
Blake Wesley
|
SG | 37 | 17.6 | 5.0 | 2.2 | 2.6 | 0.7 | 0.1 | 0.0 | 5.8 | 4.8 | - | - | - | 32.1 | 38.5 | 59.1 | - | 39.3 | 36.7 |
Isaiah Roby
|
PF | 42 | 10.8 | 4.1 | 2.5 | 0.9 | 0.4 | 0.2 | 0.0 | 3.7 | 4.5 | - | - | - | 43.2 | 30.0 | 48.8 | - | 49.7 | 49.0 |
Dominick Barlow
|
- | 28 | 14.1 | 3.9 | 3.6 | 0.9 | 0.4 | 0.7 | 0.0 | 3.1 | 6.4 | - | - | - | 53.5 | 0.0 | 72.0 | - | 56.7 | 53.5 |
Gorgui Dieng
|
C | 31 | 11.1 | 3.9 | 3.5 | 1.7 | 0.1 | 0.5 | 0.0 | 3.8 | 5.9 | - | - | - | 38.5 | 28.0 | 76.9 | - | 49.3 | 47.4 |
Jordan Hall
|
- | 9 | 8.2 | 3.1 | 1.3 | 1.2 | 0.1 | 0.0 | 0.0 | 3.1 | 2.7 | - | - | - | 32.1 | 20.0 | 77.8 | - | 43.8 | 37.5 |
Alize Johnson
|
- | 4 | 6.8 | 1.8 | 2.5 | 0.2 | 0.2 | 0.0 | 0.0 | 1.5 | 3.2 | - | - | - | 50.0 | 0.0 | 50.0 | - | 50.9 | 50.0 |
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