HoopMetrics
TUEOCT27
  1. BKNNets0-3BOSCeltics2-1Model BOS 80%Preview →
  2. DETPistons3-0NYKKnicks0-3Model NYK 61%Preview →
  3. SACKings0-3SASSpurs1-2Model SAS 83%Preview →
  4. PORTrail Blazers2-0LALLakers3-0Model LAL 64%Preview →
  5. Full schedule

Sacramento Kings vs San Antonio Spurs — prediction, odds and player props, Oct 27

SACAway · 0-3Sacramento Kings
TonightProj.SAC 108.3 – 120.4 SASFrost Bank Center
SASHome · 1-2San Antonio Spurs
SAC 17%Win probability · model v1.283% SAS
Spread
SAS −12.1
Total
228.7
SAC absences
−3.1
SAS absences
−0.0

Injury report

Official NBA report 1:45 PM ET
SAC

Sacramento Kings

4 out
SAS

San Antonio Spurs

2 out

Absences in our model: SAC −3.1 ptsAll teams →

Model vs market

Odds read · sample 3 games
WinnerSAS 83%modelMarket SAS 97% at 1.03
SpreadSAS −12.1modelMarket SAS −21.5
Total228.7modelMarket 232.5
MarketPriceModelMarketEdgeVerdict
SACMoneyline11.0010.7%9.1%+18.1%Longshot
SAC +18.5Spread1.9055.3%52.6%+5.1%Value
Under 232.5Total1.8752.7%53.5%−1.5%Pass
Over 106.5Team total · SAC1.9251.1%52.1%−1.9%Pass
Under 125.5Team total · SAS1.9054.6%52.6%+3.7%Value
SAC1X2 · regulation11.0010.4%9.1%+14.2%Longshot
SAC or drawDouble chance7.9014.2%12.7%+12.2%Longshot

2 game lines beat the price by our margin. The best side of each market is shown.

Player props

Main lines · Sacramento Kings

Line → model projection
PlayerPtsRebAstPRA
Zach LaVineZach LaVine21.5→25.93.5→3.72.5→3.127.5→33.3
Darius Acuff Jr.Darius Acuff Jr.20.5→23.72.5→2.94.5→5.127.5→32.2
Domantas SabonisDomantas Sabonis15.5→20.012.5→16.16.5→6.135.5→42.6

Best edges · Sacramento Kings

All props tonight →

The model flags 5 of 370 prop lines in this game as value. Edges this wide come from a 3-game sample — treat them as leads, not locks.

Form & team stats

Sacramento Kings · last games

Lvs MEM112–123Oct 25Lvs POR120–128Oct 23L@ LAC96–121Oct 21

San Antonio Spurs · last games

W@ DAL122–106Oct 24Lvs HOU110–114Oct 23Lvs OKC104–116Oct 20
SACPer game, this seasonSAS
109.3Points112.0
42.7Rebounds42.7
21.0Assists25.3
15.0Turnovers13.7
45.2FG%44.1
28.33P%31.9
72.5FT%77.3
−14.7Point diff.0.0
All priced lines (370) — full line ladders per player
Darius Acuff Jr.Darius Acuff Jr.G · SAC

FTA

U 4.5
49% vs 61%1.63-20%
O 4.5Pick
51% vs 48%2.07+5%

FTM

U 3.5
48% vs 59%1.70-19%
O 3.5Pick
52% vs 50%2.00+5%

3PM

U 2.5
64% vs 63%1.58+1%
O 2.5
36% vs 44%2.25-19%

2PM

U 5.5
47% vs 56%1.80-16%
O 5.5
53% vs 53%1.90+1%

2PA

U 13.5
48% vs 57%1.74-17%
O 13.5
52% vs 52%1.92+0%

FGA

U 21.5
44% vs 53%1.88-17%
O 21.5
56% vs 56%1.77-1%

Pts + Ast

U 24.5
46% vs 53%1.90-13%
O 24.5
54% vs 55%1.82-1%

Pts

U 20.5
48% vs 55%1.83-12%
O 20.5
52% vs 53%1.90-1%

Pts + Reb + Ast

U 27.5
45% vs 52%1.92-13%
O 27.5
55% vs 56%1.80-2%

3PA

U 8.5
50% vs 58%1.72-15%
O 8.5
50% vs 51%1.95-2%

Pts + Reb

U 23.5
48% vs 55%1.83-12%
O 23.5
52% vs 53%1.88-2%

TO

U 3.5
57% vs 59%1.70-3%
O 3.5
43% vs 50%2.00-14%

Ast

U 4.5
50% vs 56%1.80-11%
O 4.5
50% vs 52%1.92-3%

Fouls

U 3.5
53% vs 55%1.82-4%
O 3.5
47% vs 53%1.87-11%

FGM

U 7.5
44% vs 50%2.00-11%
O 7.5
56% vs 58%1.71-5%

Reb + Ast

U 7.5
49% vs 53%1.87-9%
O 7.5
51% vs 54%1.85-5%

Reb

U 2.5
42% vs 44%2.25-6%
O 2.5
58% vs 63%1.59-7%
Precious AchiuwaPrecious AchiuwaF · SAC

Pts + Reb

U 18.5
46% vs 56%1.80-17%
O 18.5Pick
54% vs 52%1.92+4%

Pts

U 10.5
46% vs 56%1.80-17%
O 10.5Pick
54% vs 52%1.92+3%

FTA

U 2.5
53% vs 63%1.58-17%
O 2.5
47% vs 47%2.15+2%

2PM

U 4.5
47% vs 57%1.76-17%
O 4.5
53% vs 52%1.92+1%

Fouls

U 2.5
50% vs 50%2.00-0%
O 2.5
50% vs 58%1.71-14%

FGM

U 4.5
42% vs 50%2.00-16%
O 4.5
58% vs 58%1.71-1%

2PA

U 8.5
45% vs 53%1.88-16%
O 8.5
55% vs 56%1.78-2%

FGA

U 9.5
42% vs 50%2.00-16%
O 9.5
58% vs 60%1.68-2%

Reb

U 7.5
45% vs 51%1.97-12%
O 7.5
55% vs 57%1.76-3%

TO

U 1.5
60% vs 62%1.61-4%
O 1.5
40% vs 47%2.15-13%

FTM

U 1.5
57% vs 64%1.57-10%
O 1.5
43% vs 45%2.22-5%

3PA

U 1.5
60% vs 68%1.48-11%
Zach LaVineZach LaVineG · SAC

2PM

U 4.5
50% vs 60%1.68-16%
O 4.5Pick
50% vs 49%2.05+3%

Pts + Reb + Ast

U 27.5
47% vs 55%1.83-14%
O 27.5
53% vs 53%1.88-0%

3PA

U 7.5
52% vs 61%1.64-15%
O 7.5
48% vs 48%2.07-0%

Pts

U 21.5
48% vs 56%1.80-14%
O 21.5
52% vs 52%1.92-0%

Pts + Ast

U 23.5
44% vs 51%1.95-14%
O 23.5
56% vs 56%1.78-1%

Pts + Reb

U 24.5
46% vs 53%1.90-14%
O 24.5
55% vs 55%1.82-1%

FGM

U 6.5
41% vs 48%2.07-16%
O 6.5
59% vs 60%1.66-2%

FTA

U 4.5
48% vs 56%1.78-15%
O 4.5
52% vs 53%1.87-2%

FTM

U 3.5
42% vs 50%2.02-16%
O 3.5
58% vs 60%1.68-2%

Ast

U 2.5
47% vs 53%1.88-12%
O 2.5
53% vs 55%1.83-3%

Fouls

U 2.5
54% vs 56%1.78-3%
O 2.5
46% vs 53%1.90-14%

3PM

U 2.5
46% vs 51%1.95-11%
O 2.5
54% vs 56%1.78-3%

FGA

U 16.5
47% vs 55%1.82-14%
O 16.5
53% vs 55%1.83-3%

Reb

U 3.5
52% vs 57%1.74-9%
O 3.5
48% vs 50%2.00-4%

2PA

U 9.5
51% vs 58%1.72-12%
O 9.5
49% vs 51%1.95-5%

Reb + Ast

U 5.5
42% vs 47%2.15-10%
O 5.5
58% vs 61%1.63-5%

TO

U 2.5
49% vs 53%1.87-9%
O 2.5
51% vs 56%1.80-8%
De'Andre HunterDe'Andre HunterF-G · SAC

3PA

U 3.5
47% vs 58%1.72-18%
O 3.5
53% vs 51%1.95+2%

Pts + Reb

U 13.5
48% vs 56%1.78-15%
O 13.5
52% vs 51%1.95+2%

FGM

U 3.5
54% vs 63%1.58-14%
O 3.5
46% vs 45%2.20+1%

Pts

U 8.5
43% vs 51%1.97-15%
O 8.5
57% vs 57%1.76+0%

FGA

U 7.5
43% vs 53%1.90-17%
O 7.5
57% vs 57%1.76-1%

Reb

U 4.5
53% vs 60%1.66-12%
O 4.5
47% vs 47%2.12-1%

FTA

O 1.5
66% vs 68%1.48-2%

2PA

U 4.5
53% vs 61%1.63-14%
O 4.5
47% vs 48%2.07-2%

Fouls

U 2.5
46% vs 53%1.90-12%
O 2.5
54% vs 56%1.80-3%

3PM

U 1.5
54% vs 60%1.67-10%
O 1.5
46% vs 48%2.10-3%

TO

O 0.5
67% vs 69%1.45-3%

FTM

U 1.5
45% vs 51%1.95-13%
O 1.5
55% vs 57%1.75-4%

2PM

U 1.5
39% vs 45%2.22-13%
O 1.5
61% vs 63%1.58-4%
Luke KornetLuke KornetC-F · SAS

FTA

U 0.5
45% vs 56%1.78-19%
O 0.5
55% vs 53%1.87+2%

FTM

U 0.5
50% vs 58%1.72-14%
O 0.5
50% vs 51%1.97-1%

Fouls

U 1.5
52% vs 55%1.83-4%
O 1.5
48% vs 54%1.85-12%

FGA

U 2.5
42% vs 44%2.25-5%
O 2.5
58% vs 65%1.54-11%

2PA

U 2.5
43% vs 45%2.22-5%
O 2.5
57% vs 65%1.55-11%

FGM

O 1.5
58% vs 65%1.55-10%

2PM

O 1.5
57% vs 65%1.55-12%
Domantas SabonisDomantas SabonisF-C · SAC

Pts + Reb + Ast

U 35.5
47% vs 56%1.80-16%
O 35.5
53% vs 52%1.92+2%

FGM

U 6.5
51% vs 61%1.65-16%
O 6.5
49% vs 48%2.07+1%

Pts + Reb

U 28.5
44% vs 52%1.92-16%
O 28.5
56% vs 56%1.80+1%

Pts

U 15.5
45% vs 53%1.90-15%
O 15.5
55% vs 55%1.82+0%

FTM

U 2.5
41% vs 50%2.00-18%
O 2.5
59% vs 59%1.70-0%

Pts + Ast

U 21.5
44% vs 51%1.97-14%
O 21.5
56% vs 57%1.76-1%

2PM

U 5.5
42% vs 50%2.02-16%
O 5.5
58% vs 59%1.69-1%

3PA

U 0.5
41% vs 50%2.02-17%
O 0.5
59% vs 60%1.67-1%

Reb + Ast

U 19.5
48% vs 55%1.82-12%
O 19.5
52% vs 53%1.90-2%

Reb

U 12.5
43% vs 49%2.05-13%
O 12.5
57% vs 59%1.70-2%

FTA

U 3.5
40% vs 47%2.12-16%
O 3.5
60% vs 62%1.61-3%

FGA

U 11.5
48% vs 56%1.77-15%
O 11.5
52% vs 53%1.88-3%

Fouls

U 3.5
42% vs 48%2.07-13%
O 3.5
58% vs 60%1.66-4%

TO

U 3.5
54% vs 60%1.66-11%
O 3.5
46% vs 48%2.07-4%

2PA

U 10.5
47% vs 55%1.83-13%
O 10.5
53% vs 55%1.82-4%

Ast

U 6.5
55% vs 59%1.70-7%
O 6.5
45% vs 49%2.05-7%
Julian ChampagnieJulian ChampagnieF · SAS

FTM

U 0.5
50% vs 59%1.70-15%
O 0.5
50% vs 50%2.02+1%

FTA

U 0.5
47% vs 57%1.74-17%
O 0.5
53% vs 52%1.92+1%

Pts

U 9.5
50% vs 57%1.75-13%
O 9.5
50% vs 51%1.97-1%

2PA

U 1.5
52% vs 60%1.66-13%
O 1.5
48% vs 50%2.02-4%

3PA

U 5.5
51% vs 58%1.72-13%
O 5.5
49% vs 51%1.95-4%

Pts + Reb

U 13.5
46% vs 51%1.95-10%
O 13.5
54% vs 56%1.78-5%

FGM

U 2.5
41% vs 47%2.15-12%
O 2.5
59% vs 62%1.61-5%

FGA

U 6.5
44% vs 51%1.97-14%
O 6.5
56% vs 59%1.69-5%

TO

U 0.5
48% vs 51%1.97-5%
O 0.5
52% vs 58%1.73-10%

2PM

U 0.5
39% vs 44%2.25-12%
O 0.5
61% vs 64%1.56-5%

Reb

U 4.5
50% vs 54%1.85-8%
O 4.5
50% vs 53%1.87-6%

Fouls

O 1.5
57% vs 65%1.54-12%
De'Aaron FoxDe'Aaron FoxG · SAS

FTM

U 2.5
55% vs 64%1.56-14%
O 2.5
45% vs 44%2.25+1%

FTA

U 2.5
44% vs 53%1.87-19%
O 2.5
56% vs 56%1.78+1%

Pts

U 15.5
47% vs 55%1.83-14%
O 15.5
53% vs 53%1.88+0%

2PM

U 4.5
55% vs 63%1.59-13%
O 4.5
45% vs 45%2.20-0%

TO

U 1.5
43% vs 51%1.95-16%
O 1.5
57% vs 57%1.75-0%

Pts + Reb + Ast

U 25.5
48% vs 54%1.85-12%
O 25.5
52% vs 53%1.87-2%

Pts + Ast

U 21.5
47% vs 53%1.90-11%
O 21.5
53% vs 55%1.83-2%

Reb

U 3.5
51% vs 57%1.76-11%
O 3.5
49% vs 51%1.97-3%

Pts + Reb

U 18.5
45% vs 51%1.95-12%
O 18.5
55% vs 56%1.78-3%

Ast

U 6.5
54% vs 60%1.67-10%
O 6.5
46% vs 48%2.10-3%

Fouls

U 2.5
62% vs 64%1.57-3%
O 2.5
38% vs 45%2.22-15%

Reb + Ast

U 9.5
47% vs 53%1.90-11%
O 9.5
53% vs 55%1.82-4%

FGM

U 5.5
45% vs 51%1.95-12%
O 5.5
55% vs 57%1.75-4%

2PA

U 7.5
51% vs 58%1.72-12%
O 7.5
49% vs 51%1.95-5%

3PM

U 1.5
51% vs 55%1.82-7%
O 1.5
49% vs 53%1.90-8%

3PA

U 4.5
50% vs 56%1.80-11%
O 4.5
50% vs 54%1.85-7%

FGA

U 11.5
44% vs 50%2.02-11%
O 11.5
56% vs 60%1.67-7%
Devin VassellDevin VassellG-F · SAS

Ast

U 2.5
55% vs 62%1.61-12%
O 2.5
45% vs 45%2.20-0%

FGA

U 9.5
51% vs 60%1.67-15%
O 9.5
49% vs 50%2.00-1%

Pts

U 12.5
49% vs 55%1.82-12%
O 12.5
51% vs 53%1.90-2%

2PA

U 4.5
54% vs 63%1.59-14%
O 4.5
46% vs 47%2.12-3%

FGM

U 4.5
56% vs 64%1.57-12%
O 4.5
44% vs 45%2.22-3%

3PA

U 4.5
42% vs 50%2.02-15%
O 4.5
58% vs 60%1.67-3%

Reb + Ast

U 5.5
42% vs 47%2.12-11%
O 5.5
58% vs 60%1.66-4%

Pts + Reb + Ast

U 18.5
49% vs 55%1.83-10%
O 18.5
51% vs 53%1.88-4%

Pts + Ast

U 14.5
48% vs 53%1.87-10%
O 14.5
52% vs 54%1.85-4%

TO

O 0.5
63% vs 66%1.52-5%

Pts + Reb

U 16.5
50% vs 56%1.80-9%
O 16.5
50% vs 52%1.92-5%

Reb

U 3.5
46% vs 51%1.95-10%
O 3.5
54% vs 56%1.77-5%

FTM

U 1.5
55% vs 61%1.64-9%
O 1.5
45% vs 48%2.10-6%

Fouls

U 2.5
61% vs 66%1.52-7%

3PM

U 2.5
62% vs 67%1.50-7%

2PM

U 2.5
58% vs 64%1.57-9%
O 2.5
42% vs 45%2.22-7%

FTA

U 1.5
48% vs 53%1.90-10%
O 1.5
52% vs 57%1.76-8%
Stephon CastleStephon CastleG · SAS

FTM

U 3.5
56% vs 57%1.76-2%
O 3.5
44% vs 52%1.92-15%

2PA

U 7.5
51% vs 59%1.69-14%
O 7.5
49% vs 51%1.97-4%

Pts

U 17.5
49% vs 54%1.85-10%
O 17.5
51% vs 53%1.87-4%

2PM

U 4.5
57% vs 63%1.58-10%
O 4.5
43% vs 45%2.22-5%

3PM

U 1.5
45% vs 50%2.02-10%
O 1.5
55% vs 58%1.71-5%

Reb + Ast

U 11.5
50% vs 55%1.82-9%
O 11.5
50% vs 53%1.90-5%

Ast

U 6.5
53% vs 58%1.73-8%
O 6.5
47% vs 50%2.02-5%

FTA

U 4.5
57% vs 60%1.67-5%
O 4.5
43% vs 50%2.00-13%

Reb

U 4.5
42% vs 46%2.17-9%
O 4.5
58% vs 62%1.62-6%

FGM

U 6.5
55% vs 61%1.63-10%
O 6.5
45% vs 48%2.10-6%

Pts + Reb

U 22.5
49% vs 53%1.87-8%
O 22.5
51% vs 54%1.85-6%

FGA

U 13.5
51% vs 58%1.73-11%
O 13.5
49% vs 52%1.92-6%

Pts + Reb + Ast

U 29.5
51% vs 55%1.83-8%
O 29.5
49% vs 53%1.88-7%

Pts + Ast

U 23.5
48% vs 52%1.92-7%
O 23.5
52% vs 56%1.80-7%

3PA

U 5.5
46% vs 50%2.00-7%
O 5.5
54% vs 60%1.68-10%

TO

U 2.5
45% vs 49%2.05-8%
O 2.5
55% vs 60%1.68-8%

Fouls

U 3.5
59% vs 66%1.51-11%
Keldon JohnsonKeldon JohnsonF-G · SAS

Pts

U 10.5
48% vs 55%1.83-13%
O 10.5
52% vs 53%1.88-2%

Reb

U 4.5
49% vs 55%1.82-12%
O 4.5
51% vs 53%1.90-2%

Pts + Reb

U 15.5
50% vs 56%1.78-11%
O 15.5
50% vs 51%1.95-3%

2PM

U 2.5
39% vs 45%2.22-14%
O 2.5
61% vs 63%1.58-3%

2PA

U 5.5
51% vs 59%1.70-13%
O 5.5
49% vs 51%1.97-4%

FGM

U 3.5
42% vs 47%2.12-12%
O 3.5
58% vs 62%1.62-5%

FGA

U 8.5
54% vs 61%1.65-11%
O 8.5
46% vs 49%2.05-5%

FTM

U 1.5
53% vs 57%1.76-6%
O 1.5
47% vs 52%1.92-10%

3PA

U 2.5
50% vs 53%1.87-6%
O 2.5
50% vs 56%1.78-11%

Fouls

U 2.5
57% vs 61%1.64-7%
O 2.5
43% vs 48%2.10-9%

TO

O 0.5
61% vs 66%1.51-8%

FTA

O 1.5
60% vs 67%1.49-10%
Dylan HarperDylan HarperG · SAS

Ast

U 4.5
55% vs 61%1.63-10%
O 4.5
45% vs 47%2.15-3%

2PA

U 8.5
46% vs 53%1.87-15%
O 8.5
54% vs 56%1.78-3%

Pts

U 17.5
49% vs 55%1.82-10%
O 17.5
51% vs 53%1.90-4%

3PM

U 1.5
59% vs 62%1.62-5%
O 1.5
41% vs 46%2.17-10%

2PM

U 5.5
51% vs 57%1.76-11%
O 5.5
49% vs 52%1.92-6%

FGA

U 12.5
44% vs 51%1.97-12%
O 12.5
56% vs 59%1.70-6%

Reb + Ast

U 9.5
53% vs 58%1.71-9%
O 9.5
47% vs 50%2.02-6%

Reb

U 4.5
45% vs 48%2.10-6%
O 4.5
55% vs 60%1.67-8%

Pts + Ast

U 21.5
49% vs 53%1.90-7%
O 21.5
51% vs 55%1.83-6%

3PA

U 4.5
60% vs 64%1.56-7%
O 4.5
40% vs 45%2.20-12%

Pts + Reb

U 22.5
51% vs 55%1.83-7%
O 22.5
49% vs 53%1.90-7%

FTM

U 1.5
40% vs 44%2.25-9%
O 1.5
60% vs 64%1.56-7%

Pts + Reb + Ast

U 26.5
48% vs 52%1.92-7%
O 26.5
52% vs 56%1.80-7%

Fouls

U 2.5
48% vs 52%1.92-9%
O 2.5
52% vs 56%1.77-7%

FGM

U 6.5
45% vs 49%2.05-8%
O 6.5
55% vs 60%1.67-8%

TO

U 1.5
48% vs 53%1.90-8%
O 1.5
52% vs 56%1.78-8%

FTA

U 2.5
53% vs 59%1.70-9%
O 2.5
47% vs 51%1.97-8%
Victor WembanyamaVictor WembanyamaF-C · SAS

Pts + Ast

U 29.5
51% vs 53%1.88-4%
O 29.5
49% vs 55%1.83-11%

2PM

U 7.5
56% vs 58%1.73-4%
O 7.5
44% vs 51%1.97-13%

Pts + Reb + Ast

U 40.5
50% vs 52%1.92-4%
O 40.5
50% vs 56%1.80-10%

FGM

U 9.5
56% vs 59%1.69-5%
O 9.5
44% vs 50%2.02-12%

Fouls

U 2.5
50% vs 53%1.90-5%
O 2.5
50% vs 56%1.78-11%

Pts + Reb

U 37.5
51% vs 53%1.88-5%
O 37.5
49% vs 55%1.83-10%

3PM

U 1.5
44% vs 47%2.15-5%
O 1.5
56% vs 61%1.64-8%

3PA

U 4.5
43% vs 50%2.02-13%
O 4.5
57% vs 60%1.66-5%

Reb

U 11.5
52% vs 57%1.75-9%
O 11.5
48% vs 51%1.97-6%

FGA

U 16.5
50% vs 56%1.78-12%
O 16.5
50% vs 53%1.87-6%

Reb + Ast

U 14.5
51% vs 56%1.80-8%
O 14.5
49% vs 52%1.92-6%

Pts

U 26.5
50% vs 53%1.88-6%
O 26.5
50% vs 55%1.83-8%

TO

U 2.5
56% vs 62%1.62-10%
O 2.5
44% vs 47%2.12-6%

2PA

U 11.5
51% vs 57%1.76-11%
O 11.5
49% vs 53%1.90-6%

Ast

U 2.5
44% vs 48%2.10-8%
O 2.5
56% vs 60%1.66-6%

FTA

U 7.5
52% vs 58%1.73-11%
O 7.5
48% vs 52%1.92-7%

FTM

U 5.5
45% vs 50%2.02-9%
O 5.5
55% vs 59%1.69-7%