2022-23 · Regular Season · Final
San Antonio Spurs at Sacramento Kings
Sunday, April 2, 2023 · tip-off time not recorded
SAS 5–3@SAC 4–3 records going into the game NBA.com recap ↗
Forecast and result
| Team | Projected | Final | Difference |
|---|---|---|---|
| SAS San Antonio Spurs | 103 | 142 | +39 |
| SAC Sacramento Kings (home) | 124 | 134 | +10 |
Forecast: Sacramento Kings to win, 90% win probability, projected margin 21.
Inside the Forecast
How the inputs are builtWhat the model received
| Input | SAS | SAC |
|---|---|---|
| Elo ratingMargin-of-victory Elo; 1500 is average. | 1276 | 1576 |
| Elo gap, home minus road, incl. home court | +370 | |
| Season scoring marginPoints per game, blended with last season early in the year. | −10.6 | +3.2 |
| Games played this season | 77 | 77 |
| Offensive rating, last 10Points scored per 100 possessions. | 108.0 | 121.3 |
| Defensive rating, last 10Points allowed per 100 possessions; lower is better. | 122.3 | 115.5 |
| Combined pace, last 10Possessions per game, both teams. | 101.0 | |
| Rotation points missingPoints per game of rotation players listed Out or Doubtful. | 58.6 | 0.0 |
| Rest days | 2 | 2 |
| Second night of a back-to-back | No | No |
This forecast can't be broken down exactly: the model version that made this forecast is not available. Explanations are shown only when the model that made a forecast can be rebuilt and reproduces it. How explanations are checked
Built from the box scores
How the breakdowns workWhere each input came from. Open a row to see the games and box-score stats behind it. A breakdown is shown only when rebuilding it from the stored stats gives exactly the number the model received.
Elo ratingSAS1276SAC1576
Updated after every game from the final score only: wins, losses and margin. Each season starts by keeping 75% of last season's distance from the 1500 average.
SAS1276
- Ended last season at 1486 → started this one at 1489
- First 67 games: −207.9
- Last 10 games: −5.4
- WORL132–114+21.4
- LDAL128–137−6.2
- LMEM120–126−3.0
- WATL126–118+14.0
- L@NOP84–119−9.4
- L@MIL94–130−3.3
- L@WAS124–136−4.2
- L@BOS93–137−3.6
- LUTA117–128−8.5
- L@GSW115–130−2.6
SAC1576
- Ended last season at 1383 → started this one at 1412
- First 67 games: +141.0
- Last 10 games: +23.2
- W@CHI117–114+6.3
- W@BKN101–96+7.8
- W@WAS132–118+12.1
- L@UTA120–128−10.8
- LBOS109–132−19.7
- WPHX135–127+6.5
- WUTA121–113+4.0
- LMIN115–119−8.8
- W@POR120–80+16.2
- W@POR138–114+9.6
Season scoring marginSAS−10.6SAC+3.2
Points scored minus points allowed per game this season, mixed with last season's margin until 20 games are played.
SAS−10.6
Scores 112.1, allows 122.7 over 77 games: −10.6 a game.
SAC+3.2
Scores 121.2, allows 118.0 over 77 games: +3.2 a game.
Offensive rating, last 10SAS108.0SAC121.3
Points scored per 100 possessions. Split into the four factors: right of center helps the team, left hurts, in points per 100 possessions compared with the league average (2022-23 to date: 114.1).
SAS108.0scored, −6.1 vs league
| Factor | SAS | League | hurtshelps | Pts |
|---|---|---|---|---|
| Shooting (eFG%) | 52.5% | 54.7% | −3.4 | |
| Turnovers (TOV%) | 11.2% | 12.0% | +1.2 | |
| Offensive rebounding (OREB%) | 21.5% | 23.8% | −1.0 | |
| Free throws (FTM per FGA) | 0.148 | 0.212 | −1.8 | |
| Everything else | −1.1 |
SAC121.3scored, +7.1 vs league
| Factor | SAC | League | hurtshelps | Pts |
|---|---|---|---|---|
| Shooting (eFG%) | 57.8% | 54.7% | +4.8 | |
| Turnovers (TOV%) | 9.4% | 12.0% | +3.7 | |
| Offensive rebounding (OREB%) | 21.3% | 23.8% | −1.1 | |
| Free throws (FTM per FGA) | 0.231 | 0.212 | +0.6 | |
| Everything else | −0.8 |
Defensive rating, last 10SAS122.3SAC115.5
Points allowed per 100 possessions, built from what opponents did in those games. Bars point right when the defense held opponents below average. Split into the four factors: right of center helps the team, left hurts, in points per 100 possessions compared with the league average (2022-23 to date: 114.1).
SAS122.3allowed, +8.1 vs league
| Factor | Opponents | League | hurtshelps | Pts |
|---|---|---|---|---|
| Shooting (eFG%) | 59.7% | 54.7% | −7.6 | |
| Turnovers (TOV%) | 11.8% | 12.0% | −0.3 | |
| Offensive rebounding (OREB%) | 24.1% | 23.8% | −0.2 | |
| Free throws (FTM per FGA) | 0.196 | 0.212 | +0.5 | |
| Everything else | −0.5 |
SAC115.5allowed, +1.3 vs league
| Factor | Opponents | League | hurtshelps | Pts |
|---|---|---|---|---|
| Shooting (eFG%) | 54.1% | 54.7% | +0.8 | |
| Turnovers (TOV%) | 10.0% | 12.0% | −2.9 | |
| Offensive rebounding (OREB%) | 21.6% | 23.8% | +1.0 | |
| Free throws (FTM per FGA) | 0.199 | 0.212 | +0.4 | |
| Everything else | −0.6 |
Pace, last 10average 101.0
Possessions per 48 minutes. The model uses the average of the two teams. Faster games mean more points for both sides, so pace mostly moves the projected total, not the margin.
SAS 102.7 and SAC 99.3 → average 101.0 (league 2022-23 to date: 99.7)
Rotation points missingSAS58.6SAC0.0
Points per game of rotation players (two or more of the last 10 games this season, 15+ minutes) listed Out or Doubtful on the official injury report.
SAS58.6pts/g missing
| Player | Pts | Min | Games |
|---|---|---|---|
| Keldon Johnson | 25.8 | 34.0 | 5 |
| Devin Vassell | 17.8 | 31.1 | 5 |
| Jeremy Sochan | 15.0 | 21.0 | 3 |
Source: official injury report, 2023-04-02 17:30 ET. 13 rotation players.
SAC0.0pts/g missing
Every rotation player was available.
Source: official injury report, 2023-04-02 17:30 ET. 9 rotation players.
RestSAS2 daysSAC2 days
Days since the team's previous game, capped at 5. One day means the second night of a back-to-back.
SAS2days
Last played Mar 31 against GSW.
SAC2days
Last played Mar 31 against POR.
The last 10 games behind these numbers, box-score totals
SAS
| Date | Opp | Score | FG | 3P | FT | TOV | OREB | Off | Def | Pace |
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 31 | @GSW | 115–130 | 42-91 | 15-38 | 16-23 | 13 | 14 | 115.0 | 131.3 | 99.5 |
| Mar 29 | UTA | 117–128 | 45-95 | 10-35 | 17-21 | 15 | 9 | 108.3 | 119.6 | 107.5 |
| Mar 26 | @BOS | 93–137 | 36-97 | 8-36 | 13-18 | 10 | 3 | 85.3 | 128.0 | 108.0 |
| Mar 24 | @WAS | 124–136 | 51-101 | 13-38 | 9-15 | 5 | 11 | 124.0 | 138.8 | 99.0 |
| Mar 22 | @MIL | 94–130 | 36-93 | 9-39 | 13-20 | 19 | 8 | 84.7 | 118.2 | 110.5 |
| Mar 21 | @NOP | 84–119 | 30-87 | 13-41 | 11-19 | 14 | 10 | 84.0 | 119.0 | 100.0 |
| Mar 19 | ATL | 126–118 | 51-94 | 14-28 | 10-16 | 12 | 10 | 124.8 | 118.0 | 100.5 |
| Mar 17 | MEM | 120–126 | 39-98 | 20-52 | 22-29 | 19 | 16 | 107.1 | 112.5 | 101.4 |
| Mar 15 | DAL | 128–137 | 49-107 | 15-34 | 15-26 | 10 | 16 | 116.4 | 124.5 | 99.6 |
| Mar 14 | ORL | 132–114 | 48-85 | 22-41 | 14-18 | 14 | 7 | 130.7 | 112.9 | 101.0 |
SAC
| Date | Opp | Score | FG | 3P | FT | TOV | OREB | Off | Def | Pace |
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 31 | @POR | 138–114 | 54-88 | 19-39 | 11-15 | 13 | 8 | 135.3 | 114.0 | 101.0 |
| Mar 29 | @POR | 120–80 | 42-92 | 18-48 | 18-24 | 8 | 10 | 116.5 | 77.7 | 103.0 |
| Mar 27 | MIN | 115–119 | 39-84 | 5-27 | 32-40 | 10 | 12 | 119.8 | 124.0 | 96.0 |
| Mar 25 | UTA | 121–113 | 44-95 | 16-43 | 17-21 | 8 | 14 | 121.0 | 113.0 | 100.0 |
| Mar 24 | PHX | 135–127 | 47-89 | 13-39 | 28-32 | 4 | 5 | 139.2 | 128.3 | 98.0 |
| Mar 21 | BOS | 109–132 | 39-81 | 17-44 | 14-21 | 14 | 10 | 114.7 | 140.4 | 94.5 |
| Mar 20 | @UTA | 120–128 | 41-97 | 19-52 | 19-25 | 6 | 8 | 114.3 | 124.3 | 104.0 |
| Mar 18 | @WAS | 132–118 | 48-86 | 22-37 | 14-23 | 8 | 7 | 130.7 | 119.2 | 100.0 |
| Mar 16 | @BKN | 101–96 | 32-82 | 13-41 | 24-32 | 12 | 13 | 107.4 | 104.3 | 93.0 |
| Mar 15 | @CHI | 117–114 | 38-78 | 18-42 | 23-29 | 19 | 5 | 113.6 | 109.6 | 103.5 |
Off and Def are points scored and allowed per 100 possessions in each game; their averages are the 10-game ratings above. OREB is missing (–) where the source data didn't record it.
The result against the forecast
2022-23 surprise gamesSurprise is measured against this model's forecast, not against what other observers expected. Outcome surprise is −ln(winner's pregame probability): 0.69 for a coin flip, 2.3 for a 10% winner.
Team box score
What happened in the game. These numbers are not used by the forecast, and they are not offered as the reason it missed.
| Team stat | SAS | SAC |
|---|---|---|
| Final score | 142 | 134 |
| Field goals | 52–98 · 53.1% | 49–103 · 47.6% |
| Three-pointers | 13–34 · 38.2% | 11–44 · 25.0% |
| Free throws | 25–29 · 86.2% | 25–32 · 78.1% |
| Rebounds | 52 | 43 |
| Assists | 31 | 24 |
| Turnovers | 17 | 15 |
| Steals | 8 | 9 |
| Blocks | 3 | 5 |
How the model does with these teams over time: San Antonio Spurs · Sacramento Kings
Where the forecast differed from the result
| Measure | Forecast | Actual | Actual − forecast |
|---|---|---|---|
| Home margin (SAC) | +21 | −8 | −29 |
| Total points | 227 | 276 | +49 |
| SAS points | 103 | 142 | +39 |
| SAC points | 124 | 134 | +10 |
Recent form before this game
Previous meetings
| Date | Matchup | Score |
|---|---|---|
| Feb 1 2022-23 | SAC at SAS | SAC 119 – 109 SAS |
| Jan 15 2022-23 | SAC at SAS | SAC 132 – 119 SAS |
| Nov 17 2022-23 | SAS at SAC | SAS 112 – 130 SAC |
| Mar 3 2021-22 | SAC at SAS | SAC 115 – 112 SAS |
| Dec 19 2021-22 | SAS at SAC | SAS 114 – 121 SAC |