EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50%
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NBA · Regular Season Moda Center, Portland Not Started

Portland Trail Blazers
vs
Oklahoma City Thunder.

Quick answer

Who will win Portland Trail Blazers vs Oklahoma City Thunder?

5 of 10 AI models pick Portland Trail Blazers to win (50%). The mean predicted score is 112–113 at 58% average confidence (medium).

Consensus of independent AI models on TuringStats, updated before tip-off. Not betting advice.

10 AI models read this game. The plurality on the winner leans toward Portland Trail Blazers (5 of 10 models). The mean predicted score (rounded from all models) is 112–113 at 58% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

NBA standings Where Portland Trail Blazers and Oklahoma City Thunder stand right now
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Portland Trail Blazers win 50%

5 / 10 models

Oklahoma City Thunder win 50%

5 / 10 models

— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6 Luna
Oklahoma City Thunder win
112–113
62%
Both teams are unbeaten, but Oklahoma City has the stronger defensive profile and recent head-to-head edge. Portland’s efficient offense and home court keep this close, while both teams’ back-to-back status suppresses the total slightly.
02
Claude Sonnet 5.5
Portland Trail Blazers win
118–112
52%
Both on a back-to-back, but Portland's explosive offense (124.5 ppg last 4) and home court edge out OKC, who is missing Holmgren and Wallace.
03
Gemini 3.8 Flash
Oklahoma City Thunder win
111–116
62%
Both teams are on back-to-backs, but Oklahoma City's elite 97.9 defensive rating and Gilgeous-Alexander's steady scoring give them the edge despite key absences.
04
Grok 4.7
Portland Trail Blazers win
119–111
58%
Both on a B2B. Portland’s 117.7 ORtg and 124.5 recent scoring at Moda beat OKC if Holmgren/Williams stay out; H2H favors Thunder but current form does not.
05
DeepSeek V4 Pro
Oklahoma City Thunder win
112–113
52%
OKC's 4-0 start and elite defense offset missing regulars, but Portland's hot offense and home court keep it close; both on back-to-back.
06
Qwen 3.8 Max
Portland Trail Blazers win
119–108
63%
OKC missing Holmgren, J. Williams, and Wallace significantly weakens their defense; Portland's elite offense (117.7/100) at home should exploit that despite both teams on back-to-backs.
07
Meta Muse Spark 1.3
Portland Trail Blazers win
116–108
56%
Portland is 3-0 averaging 120+ at Moda Center while Oklahoma City missed Williams, Holmgren and Caruso last game. Both on back-to-back, H2H favors Thunder but current availability tilts home.
08
Kimi K3
Oklahoma City Thunder win
112–116
62%
Thunder's elite defense (97.9 per 100) and H2H dominance (4-1) outweigh Portland's hot start; both on back-to-backs, but OKC's depth wins despite injuries.
09
GLM 5.3
Oklahoma City Thunder win
113–114
58%
OKC's elite defense (97.9 per 100) and 4-0 start outweigh Portland's hot offense; both on back-to-backs. Holmgren/Williams absences narrow it, so modest edge to the Thunder despite recent H2H blowouts.
10
MiMo V2.6 Pro
Portland Trail Blazers win
112–108
58%
Portland's 124.5 ppg last four and Avdija's form face an OKC side missing Holmgren and Jalen Williams; Moda Center edge decides a tight one despite Thunder's 4-0 start.
— Scoreline frequency

How often each scoreline showed up.

2 of 7 models settled on 112–113. The rest of the list shows where dissent still lives before tip-off.

  • 112–113
    2 models
  • 116–108
    1 model
  • 118–112
    1 model
  • 119–108
    1 model
  • 112–108
    1 model
  • 119–111
    1 model

Standings, rest and form

Where both teams stand, how rested they are, who carries the scoring and how their last ten games went.

AI spread
Thunder −1
AI total
225
Models picking
50%

From the mean predicted score of every model. Compare with your sportsbook's line.

Star matchup · last 5 games
Deni Avdija
Deni Avdija
Portland Trail Blazers · F
23 PTS 26
6.8 REB 4.4
5.6 AST 3.4
31 MIN 33
Shai Gilgeous-Alexander
Shai Gilgeous-Alexander
Oklahoma City Thunder · G

Portland Trail Blazers

3-0 · #2 Western
Home 1-0 · Away 2-0 · Last ten 3-0 · Streak W3
Back-to-back: played last night · 3 games in 7 days

Oklahoma City Thunder

4-1 · #5 Western
Home 3-0 · Away 1-1 · Last ten 4-1 · Streak L1
Back-to-back: played last night · 3 games in 7 days
Full NBA standings & playoff race →

Did not play last game

Regulars missing from the latest box score: injury, rest or suspension. Check the status before tip-off.

  • Ja Morant
    Ja Morant Blazers · G
    26 min · 15.8 pts a game before
  • Jalen Williams
    Jalen Williams Thunder · G
    32 min · 13.7 pts a game before
  • Chet Holmgren
    Chet Holmgren Thunder · C
    30 min · 12 pts a game before
  • Alex Caruso
    Alex Caruso Thunder · G
    22 min · 9.3 pts a game before

Season averages per game

Portland Trail Blazers Oklahoma City Thunder
120.3 Points 109
47.8% Field goal % 45.3%
34.1% 3-point % 33.1%
72.5% Free throw % 78.9%
47.6 Rebounds 45.4
28.6 Assists 24
15.9 Turnovers 16.4
7.7 Steals 7.8
5.9 Blocks 6.9

Ratings and four factors

Per 100 possessions. Pace is possessions per game; defence uses points allowed over the last ten.

BlazersThunder
Offensive rating 114.8 104.2
Defensive rating 102.4 101.2
Net rating +12.4 +3.1
Pace 104.7 104.6
Effective FG % 56.1 51.7
Turnover % 15.1 15.7
Free throw rate 30.1 23.4
3-point attempt rate 49 38.8

Key players · Portland Trail Blazers

  • Deni Avdija
    Deni AvdijaF 23 pts · 6.8 reb · 5.6 ast
  • Damian Lillard
    Damian LillardG 19.2 pts · 4 reb · 3.6 ast
  • Ja Morant
    Ja MorantG 15.8 pts · 2.5 reb · 5.5 ast

Averages over the last 5 games.

Key players · Oklahoma City Thunder

  • Shai Gilgeous-Alexander
    Shai Gilgeous-AlexanderG 26 pts · 4.4 reb · 3.4 ast
  • Ajay Mitchell
    Ajay MitchellG 18.6 pts · 3.4 reb · 3.6 ast
  • Jalen Williams
    Jalen WilliamsG 13.7 pts · 4.7 reb · 3.3 ast

Averages over the last 5 games.

Last ten games

Portland Trail Blazers WLWWWW
Winning and losing margins, oldest to newest
Points scored / allowed
118.8 / 107.3
Total over 220.5
3/6
Total over 230.5
2/6
Scored 110+
5/6
Won by 6+
5/6
Oklahoma City Thunder LWWWWW
Winning and losing margins, oldest to newest
Points scored / allowed
109.2 / 105.8
Total over 220.5
2/6
Total over 230.5
1/6
Scored 110+
3/6
Won by 6+
4/6

Player photos via Wikimedia Commons: Deni Avdija by All-Pro Reels from District of Columbia, USA (CC BY-SA 2.0), Damian Lillard by Erik Drost (CC BY 2.0), Ja Morant by All-Pro Reels (CC BY-SA 2.0), Shai Gilgeous-Alexander by Sandro Halank, Wikimedia Commons (CC BY-SA 4.0), Ajay Mitchell by Daiei Onoguchi (CC BY 4.0), Jalen Williams by Daiei Onoguchi (CC BY 4.0), Chet Holmgren by Steve Cheng, Bruin Report Online (CC BY 2.0), Alex Caruso by All-Pro Reels (CC BY-SA 2.0).

Player props

Prop hit rates: Portland Trail Blazers vs Oklahoma City Thunder

Each line sits at the player's recent average. Bars show every game, green when he went over.

Deni Avdija

Deni Avdija

Portland Trail Blazers · F · last 6 games
Points o23.5 4/6 · 67% Ask AI
26
18
26
23
24
24
Rebounds o7.5 3/6 · 50% Ask AI
9
10
6
4
9
5
Assists o5.5 3/6 · 50% Ask AI
4
4
6
9
7
2
Pts + Reb + Ast o36.5 3/6 · 50% Ask AI
39
32
38
36
40
31
3-pointers made o1.5 4/6 · 67% Ask AI
2
2
1
4
0
2
Damian Lillard

Damian Lillard

Portland Trail Blazers · G · last 6 games
Points o18.5 4/6 · 67% Ask AI
14
25
19
21
9
22
Assists o3.5 4/6 · 67% Ask AI
4
6
2
4
2
4
Pts + Reb + Ast o25.5 4/6 · 67% Ask AI
21
34
26
30
13
31
3-pointers made o3.5 2/6 · 33% Ask AI
3
6
2
4
1
3
Ja Morant

Ja Morant

Portland Trail Blazers · G · last 5 games
Points o15.5 1/5 · 20% Ask AI
14
14
12
23
14
Assists o5.5 3/5 · 60% Ask AI
6
8
7
4
3
Pts + Reb + Ast o23.5 2/5 · 40% Ask AI
22
27
22
27
19
Shai Gilgeous-Alexander

Shai Gilgeous-Alexander

Oklahoma City Thunder · G · last 6 games
Points o24.5 3/6 · 50% Ask AI
15
32
17
34
26
21
Assists o3.5 3/6 · 50% Ask AI
6
4
3
5
3
2
Pts + Reb + Ast o31.5 3/6 · 50% Ask AI
21
41
22
45
32
29
3-pointers made o1.5 2/6 · 33% Ask AI
1
3
3
1
1
1
Ajay Mitchell

Ajay Mitchell

Oklahoma City Thunder · G · last 5 games
Points o18.5 2/5 · 40% Ask AI
4
12
18
30
29
Assists o3.5 3/5 · 60% Ask AI
6
0
4
5
3
Pts + Reb + Ast o25.5 3/5 · 60% Ask AI
15
12
28
37
36
Jalen Williams

Jalen Williams

Oklahoma City Thunder · G · last 4 games
Points o14.5 2/4 · 50% Ask AI
16
12
21
8
Rebounds o4.5 2/4 · 50% Ask AI
4
7
5
2
Assists o3.5 1/4 · 25% Ask AI
3
2
3
5
Pts + Reb + Ast o22.5 2/4 · 50% Ask AI
23
21
29
15

From box scores of each team's recent games. Lines are our reference points, not sportsbook prices.

Portland Trail Blazers vs Oklahoma City Thunder: quick answers

What is the predicted total for Portland Trail Blazers vs Oklahoma City Thunder?
The AI models' mean predicted score is Portland Trail Blazers 112, Oklahoma City Thunder 113: a projected total of 225 points. Portland Trail Blazers games went over 230.5 in 2 of the last 6; Oklahoma City Thunder games went over 230.5 in 1 of the last 6.
What is the AI spread pick for Portland Trail Blazers vs Oklahoma City Thunder?
The consensus has Oklahoma City Thunder winning by 1 points (113–112), from the mean of every model's predicted score.
Who are the key players in Portland Trail Blazers vs Oklahoma City Thunder?
Leading scorers over the last 5 games. Portland Trail Blazers: Deni Avdija (23 pts, 6.8 reb, 5.6 ast), Damian Lillard (19.2 pts, 4 reb, 3.6 ast). Oklahoma City Thunder: Shai Gilgeous-Alexander (26 pts, 4.4 reb, 3.4 ast), Ajay Mitchell (18.6 pts, 3.4 reb, 3.6 ast).
Is Portland Trail Blazers or Oklahoma City Thunder on a back-to-back?
Portland Trail Blazers are on the second night of a back-to-back; Oklahoma City Thunder are on the second night of a back-to-back.
— Aggregated insights

What’s moving the panel.

01
Consensus favors Portland Trail Blazers

50% of models lean home — the clearest cluster on this fixture before tip-off.

02
Medium confidence

Mean 58% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 114.40 vs 111.90

Derived from predicted scorelines (model means), not live game data — useful for pace vs vote-share sanity checks.

04
Match context

Rest, recent form and home advantage usually decide whether the favourite wins comfortably or the game stays close; check both teams below.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Ask with match data Ask without data (free)

Confidence trend

Cumulative average confidence in table order.

First model Last model

Match overview

Looking for a today prediction on Portland Trail Blazers vs Oklahoma City Thunder in NBA? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (112 - 113; the frequency chart below lists the most common exact scorelines), and implied splits before tip-off.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is Portland Trail Blazers win, with vote shares roughly 50% / 50% home and away (rounded).

If you are asking who will win Portland Trail Blazers vs Oklahoma City Thunder, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

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Keep browsing today prediction coverage and league hubs.

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— Journal

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