2024-25 · Regular Season · Final
New York Knicks at Sacramento Kings
Monday, March 10, 2025 · tip-off time not recorded
NYK 1–3@SAC 3–0 records going into the game NBA.com recap ↗
Forecast and result
| Team | Projected | Final | Difference |
|---|---|---|---|
| NYK New York Knicks | 107 | 133 | +26 |
| SAC Sacramento Kings (home) | 113 | 104 | −9 |
Forecast: Sacramento Kings to win, 67% win probability, projected margin 6.
Inside the Forecast
How the inputs are builtWhat the model received
| Input | NYK | SAC |
|---|---|---|
| Elo ratingMargin-of-victory Elo; 1500 is average. | 1573 | 1543 |
| Elo gap, home minus road, incl. home court | +41 | |
| Season scoring marginPoints per game, blended with last season early in the year. | +4.1 | +1.9 |
| Games played this season | 63 | 63 |
| Offensive rating, last 10Points scored per 100 possessions. | 108.4 | 120.9 |
| Defensive rating, last 10Points allowed per 100 possessions; lower is better. | 115.1 | 112.4 |
| Combined pace, last 10Possessions per game, both teams. | 97.6 | |
| Rotation points missingPoints per game of rotation players listed Out or Doubtful. | 28.7 | 12.0 |
| Rest days | 3 | 1 |
| Second night of a back-to-back | No | Yes |
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 ratingNYK1573SAC1543
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.
NYK1573
- Ended last season at 1577 → started this one at 1558
- First 53 games: +50.5
- Last 10 games: −35.4
- WATL149–148+1.6
- WCHI113–111+1.1
- L@CLE105–142−12.6
- L@BOS105–118−6.0
- WPHI110–105+1.9
- W@MEM114–113+5.3
- W@MIA116–112+4.9
- LGSW102–114−17.3
- L@LAL109–113−4.2
- L@LAC95–105−10.1
SAC1543
- Ended last season at 1540 → started this one at 1530
- First 53 games: −15.4
- Last 10 games: +28.9
- W@NOP119–111+5.8
- L@NOP133–140−12.4
- LGSW108–132−23.6
- WCHA130–88+8.1
- W@UTA118–101+12.6
- W@HOU113–103+15.5
- W@DAL122–98+23.4
- L@DEN110–116−4.1
- WSAS127–109+6.9
- L@LAC110–111−3.3
Season scoring marginNYK+4.1SAC+1.9
Points scored minus points allowed per game this season, mixed with last season's margin until 20 games are played.
NYK+4.1
Scores 116.9, allows 112.8 over 63 games: +4.1 a game.
SAC+1.9
Scores 116.8, allows 114.9 over 63 games: +1.9 a game.
Offensive rating, last 10NYK108.4SAC120.9
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 (2024-25 to date: 113.4).
NYK108.4scored, −5.0 vs league
| Factor | NYK | League | hurtshelps | Pts |
|---|---|---|---|---|
| Shooting (eFG%) | 51.9% | 54.2% | −3.5 | |
| Turnovers (TOV%) | 11.4% | 12.1% | +1.1 | |
| Offensive rebounding (OREB%) | 23.0% | 25.1% | −0.9 | |
| Free throws (FTM per FGA) | 0.174 | 0.194 | −0.6 | |
| Everything else | −1.0 |
SAC120.9scored, +7.5 vs league
| Factor | SAC | League | hurtshelps | Pts |
|---|---|---|---|---|
| Shooting (eFG%) | 57.2% | 54.2% | +4.5 | |
| Turnovers (TOV%) | 11.1% | 12.1% | +1.4 | |
| Offensive rebounding (OREB%) | 27.8% | 25.1% | +1.2 | |
| Free throws (FTM per FGA) | 0.173 | 0.194 | −0.6 | |
| Everything else | +1.0 |
Defensive rating, last 10NYK115.1SAC112.4
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 (2024-25 to date: 113.4).
NYK115.1allowed, +1.7 vs league
| Factor | Opponents | League | hurtshelps | Pts |
|---|---|---|---|---|
| Shooting (eFG%) | 55.2% | 54.2% | −1.5 | |
| Turnovers (TOV%) | 11.7% | 12.1% | −0.6 | |
| Offensive rebounding (OREB%) | 26.6% | 25.1% | −0.6 | |
| Free throws (FTM per FGA) | 0.170 | 0.194 | +0.7 | |
| Everything else | +0.4 |
SAC112.4allowed, −1.0 vs league
| Factor | Opponents | League | hurtshelps | Pts |
|---|---|---|---|---|
| Shooting (eFG%) | 54.1% | 54.2% | +0.2 | |
| Turnovers (TOV%) | 10.6% | 12.1% | −2.2 | |
| Offensive rebounding (OREB%) | 21.3% | 25.1% | +1.7 | |
| Free throws (FTM per FGA) | 0.197 | 0.194 | −0.1 | |
| Everything else | +1.3 |
Pace, last 10average 97.6
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.
NYK 98.6 and SAC 96.5 → average 97.6 (league 2024-25 to date: 99.7)
Rotation points missingNYK28.7SAC12.0
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.
NYK28.7pts/g missing
| Player | Pts | Min | Games |
|---|---|---|---|
| Jalen Brunson | 28.7 | 37.8 | 9 |
Source: official injury report, 2025-03-10 17:30 ET. 7 rotation players.
SAC12.0pts/g missing
| Player | Pts | Min | Games |
|---|---|---|---|
| Domantas Sabonis | 12.0 | 28.4 | 6 |
Source: official injury report, 2025-03-10 17:30 ET. 8 rotation players.
RestNYK3 daysSAC1 days
Days since the team's previous game, capped at 5. One day means the second night of a back-to-back.
NYK3days
Last played Mar 7 against LAC.
SAC1day, back-to-back
Last played Mar 9 against LAC.
The last 10 games behind these numbers, box-score totals
NYK
| Date | Opp | Score | FG | 3P | FT | TOV | OREB | Off | Def | Pace |
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 7 | @LAC | 95–105 | 35-91 | 9-34 | 16-18 | 15 | 14 | 96.9 | 107.1 | 98.0 |
| Mar 6 | @LAL | 109–113 | 37-94 | 10-43 | 25-32 | 13 | 14 | 102.8 | 108.7 | 95.1 |
| Mar 4 | GSW | 102–114 | 41-92 | 8-33 | 12-15 | 13 | 14 | 105.2 | 116.3 | 97.5 |
| Mar 2 | @MIA | 116–112 | 46-95 | 14-44 | 10-15 | 10 | 11 | 116.0 | 112.0 | 90.6 |
| Feb 28 | @MEM | 114–113 | 44-95 | 13-38 | 13-16 | 8 | 8 | 110.7 | 111.9 | 102.0 |
| Feb 26 | PHI | 110–105 | 40-77 | 7-19 | 23-29 | 16 | 7 | 112.2 | 107.1 | 98.0 |
| Feb 23 | @BOS | 105–118 | 40-92 | 14-36 | 11-11 | 11 | 7 | 108.2 | 122.9 | 96.5 |
| Feb 21 | @CLE | 105–142 | 42-89 | 10-28 | 11-18 | 16 | 9 | 101.9 | 137.9 | 103.0 |
| Feb 20 | CHI | 113–111 | 46-107 | 14-46 | 7-10 | 11 | 10 | 102.7 | 100.9 | 99.6 |
| Feb 12 | ATL | 149–148 | 54-94 | 11-26 | 30-37 | 17 | 8 | 127.4 | 126.5 | 106.0 |
SAC
| Date | Opp | Score | FG | 3P | FT | TOV | OREB | Off | Def | Pace |
|---|---|---|---|---|---|---|---|---|---|---|
| Mar 9 | @LAC | 110–111 | 40-87 | 9-34 | 21-25 | 8 | 7 | 110.0 | 113.3 | 89.7 |
| Mar 7 | SAS | 127–109 | 49-96 | 17-38 | 12-19 | 8 | 14 | 133.7 | 116.0 | 94.5 |
| Mar 5 | @DEN | 110–116 | 44-96 | 11-27 | 11-14 | 12 | 13 | 112.2 | 116.0 | 99.0 |
| Mar 3 | @DAL | 122–98 | 47-90 | 16-34 | 12-12 | 7 | 7 | 129.8 | 105.4 | 93.5 |
| Mar 1 | @HOU | 113–103 | 44-87 | 9-28 | 16-21 | 13 | 10 | 118.9 | 106.2 | 96.0 |
| Feb 26 | @UTA | 118–101 | 46-87 | 15-36 | 11-12 | 12 | 7 | 121.6 | 103.1 | 97.5 |
| Feb 24 | CHA | 130–88 | 47-87 | 20-38 | 16-18 | 18 | 9 | 131.3 | 88.9 | 99.0 |
| Feb 21 | GSW | 108–132 | 40-79 | 11-32 | 17-18 | 21 | 11 | 112.5 | 136.1 | 96.5 |
| Feb 13 | @NOP | 133–140 | 49-112 | 17-47 | 18-21 | 14 | 19 | 117.7 | 125.0 | 101.9 |
| Feb 12 | @NOP | 119–111 | 41-87 | 16-45 | 21-29 | 11 | 11 | 121.4 | 114.4 | 97.5 |
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
2024-25 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 | NYK | SAC |
|---|---|---|
| Final score | 133 | 104 |
| Field goals | 45–84 · 53.6% | 36–86 · 41.9% |
| Three-pointers | 22–40 · 55.0% | 10–34 · 29.4% |
| Free throws | 21–26 · 80.8% | 22–26 · 84.6% |
| Rebounds | 40 | 37 |
| Assists | 34 | 18 |
| Turnovers | 15 | 16 |
| Steals | 13 | 7 |
| Blocks | 1 | 4 |
How the model does with these teams over time: New York Knicks · Sacramento Kings
Where the forecast differed from the result
| Measure | Forecast | Actual | Actual − forecast |
|---|---|---|---|
| Home margin (SAC) | +6 | −29 | −35 |
| Total points | 220 | 237 | +17 |
| NYK points | 107 | 133 | +26 |
| SAC points | 113 | 104 | −9 |
Recent form before this game
Previous meetings
| Date | Matchup | Score |
|---|---|---|
| Jan 25 2024-25 | SAC at NYK | SAC 120 – 143 NYK |
| Apr 4 2023-24 | SAC at NYK | SAC 109 – 120 NYK |
| Mar 16 2023-24 | NYK at SAC | NYK 98 – 91 SAC |
| Mar 9 2022-23 | NYK at SAC | NYK 117 – 122 SAC |
| Dec 11 2022-23 | SAC at NYK | SAC 99 – 112 NYK |