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Wed 28 Oct, 11:00 Sydney

Sacramento Kings at San Antonio Spurs

Heavy favourite: San Antonio Spurs. Logistic regression is the primary probability because it had the best holdout log loss. The largest contributions toward San Antonio Spurs are Blended net rating and Elo gap. Other rating features can point the other way when this one already carries the same information.

10%
90%

Model agreement

Three separate probabilities. There is no combined model. Home win chance:

Logistic regression · primary

90%

SAC 10%

Gradient boosting

85%

SAC 15%

Elo

89%

SAC 11%

What the logistic model is using

Each number is that feature’s push, in log-odds, after scaling. The model starts from a baseline home log-odds of +0.30. Positive pushes favor San Antonio Spurs. This is not an estimate of what would happen if one statistic changed.

Toward SAS

  • Blended net rating+1.12

    season net rating blended with last year, home minus away

  • Elo gap+0.38

    Elo rating, home minus away

  • Defensive-rebounding gap+0.21

    defensive rebound rate, home minus away

  • Rotation-impact gap+0.18

    impact of the players projected to play, home minus away

  • Home key absences+0.16

    home players with 20+ expected minutes projected out

  • Recent net rating+0.12

    net rating over the last 10 games, home minus away

Toward SAC

  • Defensive-rating gap-0.23

    season points allowed per 100 possessions, home minus away

  • Net-rating gap-0.22

    season net rating, home minus away

SAS offence against SAC defence

Season-to-date rates. The last row pairs the offence’s offensive rebound rate with the defence’s own defensive rebound rate.

MetricSAS offenceSAC defence
Points per 100109.9122.6
Effective FG50.7%55.9%
Turnover rate13.4%13.5%
Offensive boards / defensive boards24.1%68.4%

SAC offence against SAS defence

Season-to-date rates. The last row pairs the offence’s offensive rebound rate with the defence’s own defensive rebound rate.

MetricSAC offenceSAS defence
Points per 100108.1109.9
Effective FG50.0%55.0%
Turnover rate14.8%16.4%
Offensive boards / defensive boards25.9%78.3%

Pace and schedule

Season pace describes how many possessions a team usually plays. The average below is only that description. It is not added on top of the win probability, and it is not a predicted score.

SAC pace

101.2

SAS pace

101.9

Average of the two

101.6

SAC

Rest days 1

Not a back-to-back

Games in the last 7 days 3

Last 10 net rating -14.5

Free throws per shot 0.21

SAS

Rest days 2

Not a back-to-back

Games in the last 7 days 3

Last 10 net rating 0.0

Free throws per shot 0.18

Projected rotation

Injury report 27 October 2026, 7:00 AM ET. Players ruled out are removed from the win probability. Questionable and doubtful players stay on the last-game assumption and are listed with that status. Last games used are 2026-10-25 and 2026-10-24.

Sacramento Kings

Last played 2026-10-25 · 2 key players projected out

PlayerLast minExpectedImpactStatus
Zach LaVine4030-4.9—
Precious Achiuwa3931+1.3—
Darius Acuff Jr.3636-2.6—
Domantas Sabonis3529+1.4—
De'Andre Hunter2923-3.1—
Jonathan Mogbo · fewer minutes188-7.7—
Daeqwon Plowden · fewer minutes1625-0.2—
Emanuel Sharp · fewer minutes1415+2.1—
Malik Monk · fewer minutes1221+3.4—
Dylan Cardwell · ruled out———Out
Keegan Murray · ruled out———Out
Sean Pedulla · ruled out———Out
Maxime Raynaud · ruled out———Out
Ben Simmons · ruled out———Out

San Antonio Spurs

Last played 2026-10-24 · 0 key players projected out

PlayerLast minExpectedImpactStatus
Devin Vassell3232+5.4—
Victor Wembanyama2929+16.5—
Dylan Harper2827+1.1—
Stephon Castle2832-2.2—
Julian Champagnie2828+5.9—
De'Aaron Fox · fewer minutes2831+1.9—
Keldon Johnson · fewer minutes2624-0.4—
Luke Kornet · fewer minutes1419-5.3—
Carter Bryant · fewer minutes1015-12.0—
Tarris Reed Jr. · fewer minutes74-0.9—
Tobias Harris · ruled out———Out
Jayden Quaintance · ruled out———Out