CHI 1-1 NEW · 38% STA 1-0 ANG · 45% LOR 2-1 PAR · 44% MON 2-1 TOU · 47% PAR 3-0 LEM · 69% NAP 2-0 FRO · 58% REA 2-1 VIL · 52% BRO 1-1 DAL · 36% POR 1-0 BOI · 41% UNI 1-0 FOR · 44% CHA 1-1 LOU · 39% TAM 1-1 CAR · 37% DET 1-0 RHO · 39% IND 1-1 TAM · 37% CHI 1-1 NEW · 38% STA 1-0 ANG · 45% LOR 2-1 PAR · 44% MON 2-1 TOU · 47% PAR 3-0 LEM · 69% NAP 2-0 FRO · 58% REA 2-1 VIL · 52% BRO 1-1 DAL · 36% POR 1-0 BOI · 41% UNI 1-0 FOR · 44% CHA 1-1 LOU · 39% TAM 1-1 CAR · 37% DET 1-0 RHO · 39% IND 1-1 TAM · 37%
NBA · Preseason Oct 7, 2026 · 00:00 BOK Center, Tulsa Finished

Oklahoma City Thunder
vs
New Orleans Pelicans.

Quick answer

Who will win Oklahoma City Thunder vs New Orleans Pelicans?

Final score: Oklahoma City Thunder 110–116 New Orleans Pelicans. Before kickoff, 10 of 10 AI models pick Oklahoma City Thunder to win (100%); the consensus was wrong. The AI predicted score was 118–104.

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

10 AI models read this game. The plurality on the winner leans toward Oklahoma City Thunder (10 of 10 models). The mean predicted score (rounded from all models) is 118–104 at 33% mean confidence (Low band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will Oklahoma City Thunder beat New Orleans Pelicans in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

Ask the Council Free today · sign in with Google to convene the council
— Consensus

Where the panel lands.

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

Oklahoma City Thunder win 100%

10 / 10 models

New Orleans Pelicans win 0%

0 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
Oklahoma City Thunder win
113–104
64%
Oklahoma City has won the last five listed meetings, including three by double digits, and its defensive profile supports an edge. Preseason rotation uncertainty tempers confidence, while the Tulsa venue still favors the Thunder.
02
Claude Sonnet 5
Oklahoma City Thunder win
118–104
58%
Preseason finale, rosters experimental, but Thunder dominated recent H2H meetings and hold clear overall roster edge as defending champions.
03
Gemini 3.8 Flash
Oklahoma City Thunder win
108–101
63%
Oklahoma City boasts superior rotational depth and recent head-to-head dominance. In a preseason neutral-site environment with managed minutes, the Thunder's younger bench units provide a steady edge.
04
Grok 4.6
Oklahoma City Thunder win
118–105
62%
Thunder swept recent H2H with large margins; even in preseason at Tulsa they should control pace and finishing versus New Orleans.
05
DeepSeek V4 Pro
Oklahoma City Thunder win
118–104
62%
Oklahoma City has won all five recent meetings, often by double digits, and holds the venue edge in Tulsa. Preseason rotations add uncertainty, but the Thunder's depth and pace should still control this matchup.
06
Qwen 3.8 Max
Oklahoma City Thunder win
118–105
62%
Thunder dominated Pelicans in all five recent meetings by wide margins; preseason context lowers certainty but OKC's roster superiority still favors a comfortable home win.
07
Mistral Medium 3.5
Oklahoma City Thunder win
118–109
62%
Thunder dominated recent H2H; preseason but home edge and continuity favor OKC.
08
Kimi K3
Oklahoma City Thunder win
112–105
62%
Preseason matchup at neutral Tulsa venue; Thunder have dominated this H2H (5 straight wins, avg margin 20+), but exhibition rotations and minute limits temper the expected edge.
09
GLM 5.3
Oklahoma City Thunder win
113–102
58%
Preseason opener in Tulsa, but OKC swept all five recent H2H meetings by double digits and field the stronger roster; rotation uncertainty keeps confidence modest.
10
MiMo V2.5 Pro
Oklahoma City Thunder win
115–108
62%
Thunder have dominated recent H2H, winning last five meetings. Preseason context adds variance, but OKC's home/venue advantage and consistent scoring edge support a moderate-confidence home win.
— Scoreline frequency

How often each scoreline showed up.

2 of 8 models settled on 118–104. The rest of the list shows where dissent still lives before kickoff.

  • 118–104
    2 models
  • 118–105
    2 models
  • 113–104
    1 model
  • 118–109
    1 model
  • 115–108
    1 model
  • 108–101
    1 model

Match overview

Looking for a today prediction on Oklahoma City Thunder vs New Orleans Pelicans 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 (118 - 104; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

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 Oklahoma City Thunder win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Oklahoma City Thunder vs New Orleans Pelicans, 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.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Oklahoma City Thunder

100% of models lean home — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 33% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 115.10 vs 104.70

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

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

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.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Explore more

Keep browsing today prediction coverage and league hubs.

Related matches

— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

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