Oklahoma 10–17 Michigan: AI predicted 24–17 ✗
24–17
AI consensus
A win for Oklahoma4/5 agree✗ Miss
Agreement is a model vote, not a probability.
College Football · Week 2 ·
Updated · ScoreGPT multi-model panel
3 free AI predictions every week — no sign-up.
The model panel — graded: Oklahoma vs Michigan
College Football Week 2 · 12 September 2026 · scores read Oklahoma–Michigan
Every pick, graded on the final score: Oklahoma 10–17 Michigan.
- Claude Opus 5Oklahoma24–16✗ Miss
- GPT-5.6Oklahoma23–16✗ Miss
- Kimi K3Oklahoma23–17✗ Miss
- Grok 4.6Oklahoma24–17✗ Miss
- GLM-5.3Michigan20–23✓ Hit
Explore today’s predictions in the app →
3 free AI predictions every week — no sign-up.
What did the AI predict for Oklahoma vs Michigan?
ScoreGPT's AI panel predicted Oklahoma vs Michigan (College Football Week 2) at Michigan 17–24 Oklahoma, with 4 of 5 models backing Oklahoma. The final score and grade are below — for information and entertainment only.
Every pick is graded after the final whistle — see how our grading works and the Graded College Football record.
The AI verdict
Oklahoma is the lean here. Michigan's offense stalled against a MAC opponent, and the Sooners' pressure defense and healthy quarterback give them the edge over a Wolverines attack that struggles to finish drives.
ScoreGPT predicted a win for Oklahoma — final score Michigan 17–10 Oklahoma. Wrong, and it counts on the public record.
- Michigan scored just thirteen points at home against Western Michigan, needing a last-second Hail Mary to survive.
- The Wolverines managed only 276 total yards, twelve first downs and roughly twenty minutes of possession in that game.
- Oklahoma already won this coaching matchup in Norman a year ago, confirming a pattern rather than a one-week blip.
- Oklahoma's patchwork offensive line is a concern, with Fasusi doubtful and Maikkula and Fodje working back from injury.
- Mateer was healthy and decisive, going five-for-five in the red zone and producing 401 yards on 58 plays.
AI analysis generated 11 Sept 2026
Why ScoreGPT's AI panel leaned this way — Oklahoma vs Michigan
- Underwood vs Venables pressure disguises
- Michigan's 13-point MAC escape at home
- Oklahoma's patchwork offensive line injuries
- Mateer healthy, explosive vs stalled offense
From ScoreGPT's pre-game AI analysis of Oklahoma vs Michigan, written before kickoff on 12 September 2026:
A Near-Pick'em Board Against a Lopsided Week 1 Ledger
Four of five experts — Grok 4.6, Claude Opus 5, Kimi K3 and GPT-5.6 — land on an Oklahoma road win, while GLM-5.3 dissents with a 23-20 Michigan escape.
The core of the case is the sharpest signal available: Michigan scored 13 points at home against Western Michigan, needing a last-second Hail Mary to survive a MAC opponent, while managing just 276 total yards, 12 first downs and roughly 20 minutes of possession. GPT-5.6's film-level detail is decisive here — the Wolverines produced essentially one conventional scoring drive, lost two fumbles, and leaned almost entirely on Underwood's legs (47 rushing yards) and a single receiver (JJ Buchanan, six catches for 126 of Underwood's 170 yards). That concentration and that drive-sustaining profile are exactly what a Venables defense with returning experience is built to exploit. Kimi adds the crucial historical layer: Oklahoma already won this coaching matchup 24-13 in Norman a year ago, so this is confirmation of a pattern, not a one-week blip.
Where the Panel Disagrees — and How It Resolves
GLM-5.3's Michigan case rests on two legs: the opponent-quality caveat (51-0 over UTEP is low-information) and Michigan's own defensive excellence. Both are legitimate. This is why the consensus is calibrated at 57%, not 68%: the one scenario where Michigan steals this is real.
Every model's reasoning — not just the score
What you get in the app. 3 free AI predictions every week — no sign-up. Pro unlocks unlimited predictions and full performance insights.
Explore AI analysis in the app
the app
Frequently asked
▸Who did the AI predict to win Oklahoma vs Michigan?
4 of 5 AI models analyzed by ScoreGPT predicted Oklahoma to win before kickoff. The game finished Michigan 17–10 Oklahoma, so the consensus pick was wrong — and it stays on the public record either way.
▸What score did the AI predict for Oklahoma vs Michigan?
ScoreGPT's averaged AI final score was Michigan 17–24 Oklahoma. The actual final score was Michigan 17–10 Oklahoma.
▸How does ScoreGPT make College Football Week 2 predictions?
Five AI models independently analyze form, injuries, depth charts and matchups for every covered College Football Week 2 game. ScoreGPT compares their picks and grades every prediction publicly after the final whistle.
▸Which AI models have predicted Oklahoma vs Michigan?
5 AI models predicted this game, each graded on the final result: Claude Opus 5 Oklahoma (✗ wrong result); GPT-5.6 Oklahoma (✗ wrong result); Kimi K3 Oklahoma (✗ wrong result); Grok 4.6 Oklahoma (✗ wrong result); GLM-5.3 Michigan (✓ correct result). Every pick is graded publicly after the final whistle.
▸What are the key factors for Michigan vs Oklahoma?
The main factors are Michigan's stalled offense against a Power-4 front, Oklahoma's pressure disguises under Venables, and the Sooners' patchwork offensive line injuries. Michigan's defensive excellence and home field keep it close, but Oklahoma's healthier quarterback situation and explosive-pass profile give the Sooners the edge in converting opportunities.
More College Football predictions
Recent College Football results — graded
For information and entertainment only.