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POR @ SAC NBA prediction: AI analysis & picks

NBA
PORPOR
Trail Blazers
Away
★Follow
@
2026-10-23
SACSAC
Kings
Home
★Follow
Analysis published before tip-off Time-stamped odds (CLV) Transparent method
Spread
PORPOR
-10.0 @ 1.89
Spread
SACSAC
+10.0 @ 1.94
Total Line 232.0 O/U @ 1.91
Pinnacle Odds

Our picks for this match

Official pick OVER 233.0
Model confidence70 %
Odds
1.89
Market
Totals O/U
Taken on 23/10 · 21:59 at odds of 1.89

Our Expert Analysis

PRO
Confidence
70%
Net Rating (L10)+2.5 vs -9.1POR · SAC
Pace (L10)98.6 vs 99.8possessions / game
Projected total218line 232.0
Model confidence70%OVER 233.0
View full analysis
Our picks
Total: OVER 233.0 @ 1.890 — OFFICIAL PICK

GAME CONTEXT

The Sacramento Kings enter this game with 1 day of rest, their last game having been played on October 21, 2026. The Portland Trail Blazers also have 1 day of rest, their last game also having been played on October 21, 2026.

KEY ABSENCES

● Sacramento Kings: Malik Monk (G) is questionable (ankle), Ben Simmons (G) is out (Achilles tendon), Dylan Cardwell (C) is out (calf) and Maxime Raynaud (C) is out (knee).
● Portland Trail Blazers: Branden Carlson (C) is out (concussion), Chris Youngblood (G) is out (ankle) and Shaedon Sharpe (G) is out (knee).

GAME SCRIPT

The table covers the end of last season and rosters have changed, so we draw no recent form from it. The expected pace is ~99.4, or about 99 possessions per team, an average pace. The Kings' pace is 99.8 and the Trail Blazers' is 98.6, so neither team forces the other out of its tempo. The 10.5-point spread points to a game with a likely wide final margin, with a faster pace in the fourth quarter (Q4) and a risk of garbage time that pushes scoring higher.

OUR ANALYSIS

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

TOTALS: We are taking the OVER 233.0 @ 1.890. Our model flags a home underdog of at least 6 points, a situation that leads to the OVER. The table points the same way: the Kings have a Def Rating (defensive rating) of 118.8 and allow 118.6 points, which gives the Trail Blazers, whose Off Rating (offensive rating) is 110.2, room to work with. The garbage time expected in Q4 adds points late in the game. Our range sits around the line, with a risk of going over on the high side if the margin widens.

Devil's advocate

Points scored are trending down for both teams: the Kings at 109.4 and the Trail Blazers at 108.6, and the Trail Blazers allow only 106.0 points with a Def Rating of 107.7. We accept this risk, because the Kings allow 118.6 points with a Def Rating of 118.8, which directly contradicts a low-scoring, closed-game script.

ProbWin verdict

We are taking the OVER 233.0 @ 1.890: OFFICIAL PICK. The spread remains without a pick.

Key Factors

Net Rating (L10)
+2.5vs-9.1
Pace (10d)
98.6vs99.8
Rest
1dvs1d
Def Rating
107.7vs118.8
TeamNet RtgOff RtgDef RtgPaceRest
POR
+2.5 110.2 107.7 98.6 1d
SAC
-9.1 109.7 118.8 99.8 1d
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Head-to-Head

13/10/26POR — SAC110 – 98
12/04/26SAC — POR110 – 122
18/01/26POR — SAC117 – 110
20/12/25POR — SAC98 – 93
18/12/25SAC — POR133 – 134

Form & Stats

Team Comparison

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

POR STAT SAC
110.2
Off Rating ? Points marqués pour 100 possessions
109.7
107.7
Def Rating ? Points concédés pour 100 possessions
118.8
+2.5
Net Rating ? Différentiel Off Rating - Def Rating
-9.1
98.6
Pace ? Nombre de possessions par match
99.8
50.5%
eFG% ? Effective FG% - Efficacité au tir (3pts comptent 1.5x)
52.0%
54.4%
TS% ? True Shooting % - Efficacité globale au tir incluant LF
55.2%
0.1%
TOV% ? Pourcentage de pertes de balle par possession
0.1%
29.2%
OREB% ? Pourcentage de rebonds offensifs captés
31.4%

Frequently asked questions

When was POR @ SAC played?

This NBA game was played on 2026-10-23.

Where can I find the prediction for POR @ SAC?

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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