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UTA @ SAS NBA prediction: AI analysis & picks

NBA
UTAUTA
Jazz
Away
★Follow
@
2026-11-02
SASSAS
Spurs
Home
★Follow
Analysis published before tip-off Time-stamped odds (CLV) Transparent method
Spread
UTAUTA
+16.0 @ 1.92
Spread
SASSAS
-16.0 @ 1.91
Total Line 228.5 O/U @ 1.94
Pinnacle Odds

Our picks for this match

AI Trend UNDER 229.5
Model confidence70 %
Odds
1.90
Market
Totals O/U
Taken on 02/11 · 20:01 at odds of 1.90

Game Analysis

PRO
Confidence
70%
Net Rating (L10)-5.1 vs +3.2UTA · SAS
Pace (L10)107.7 vs 102.2possessions / game
Projected total229line 228.5
Model confidence70%UNDER 229.5
View full analysis
Our picks
Total: UNDER 229.5 @ 1.900 — AI TREND

GAME CONTEXT

The San Antonio Spurs are 4-3 through 7 games this season. Their last game was on October 31, 2026, giving them 1 day of rest. The Utah Jazz are 2-5 through 7 games, also with 1 day of rest after their last game on October 31, 2026.

KEY ABSENCES

● San Antonio Spurs: Jayden Quaintance (F), out, knee (surgery), estimated return December 3, 2026; Tobias Harris (F), out, calf (strain), estimated return November 6, 2026.
● Utah Jazz: Jaren Jackson Jr. (F), out, knee, estimated return December 14, 2026; Jusuf Nurkic (C), out, foot (sprain), estimated return November 4, 2026; Trey Alexander (G), out, knee (contusion), estimated return November 6, 2026.

GAME SCRIPT

The expected pace comes out at 106.1, which points to a fast game. The Utah Jazz push the tempo with a pace of 107.7 over their last 10 games, compared with 102.2 for the San Antonio Spurs. The Jazz are allowing 121.0 points per game over that stretch, with a defensive rating of 112.7. The Spurs have a defensive rating of 106.9 and allow 109.2 points per game. Both teams have 1 day of rest, and no fatigue situation stands out.

OUR ANALYSIS

SPREAD: No spread pick: there is no fatigue situation in this game.

TOTALS: Our lean is the UNDER 229.5 @ 1.900. The expected tempo is fast, but the Spurs' defensive rating, which is lower than the Jazz's, pulls the total down. The Jazz's offensive rating is 107.6, compared with 110.1 for the Spurs. Our range sits right around the line, slightly below it. Our model projects 228.5 points against a line of 229.5 (a difference of -1.0 points), which points toward the UNDER. The edge remains slim.

Devil's advocate

The Jazz allow 121.0 points per game and play at a pace of 107.7: an open game can clear 229.5 without difficulty. The absences of Jaren Jackson Jr., Jusuf Nurkic and Trey Alexander also weaken the Jazz's rotation. We accept that risk, because the Spurs allow only 109.2 points per game with a defensive rating of 106.9.

ProbWin verdict

Our lean is the UNDER 229.5 @ 1.900, with an AI Trend status. No spread pick.

Key Factors

Net Rating (L10)
-5.1vs+3.2
Pace (10d)
107.7vs102.2
Rest
1dvs1d
Def Rating
112.7vs106.9
TeamNet RtgOff RtgDef RtgPaceRest
UTA
-5.1 107.6 112.7 107.7 1d
SAS
+3.2 110.1 106.9 102.2 1d
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Head-to-Head

28/10/26SAS — UTA117 – 111
12/10/26SAS — UTA109 – 119
22/01/26SAS — UTA126 – 109
19/01/26UTA — SAS110 – 123
27/12/25UTA — SAS127 – 114

Form & Stats

Team Comparison

8 of 44 model features (last 5-10 games)

UTA STAT SAS
107.6
Off Rating ? Points marqués pour 100 possessions
110.1
112.7
Def Rating ? Points concédés pour 100 possessions
106.9
-5.1
Net Rating ? Différentiel Off Rating - Def Rating
+3.2
107.7
Pace ? Nombre de possessions par match
102.2
52.8%
eFG% ? Effective FG% - Efficacité au tir (3pts comptent 1.5x)
51.9%
56.5%
TS% ? True Shooting % - Efficacité globale au tir incluant LF
55.7%
0.1%
TOV% ? Pourcentage de pertes de balle par possession
0.1%
25.8%
OREB% ? Pourcentage de rebonds offensifs captés
26.7%

Frequently asked questions

When was UTA @ SAS played?

This NBA game was played on 2026-11-02.

Where can I find the prediction for UTA @ SAS?

This ProbWin page shows the predictions our model published before the game (totals and spreads), the key stats for both sides, and the settled result — every prediction is kept, win or lose, in our public track record.

How are these predictions calculated?

Our NBA statistical models are trained on league history and recomputed daily from team and player stats plus market odds. Every prediction is published before the game and its result is settled publicly.

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