Missouri 38–21 Kansas: AI predicted 29–22 ✓
29–22
AI consensus
A win for Missouri5/5 agree✓ Hit
Agreement is a model vote, not a probability.
College Football · Week 2 ·
Updated · ScoreGPT multi-model panel
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The model panel — graded: Missouri vs Kansas
College Football Week 2 · 11 September 2026 · scores read Missouri–Kansas
Every pick, graded on the final score: Missouri 38–21 Kansas.
- Claude Opus 5Missouri30–24✓ Hit
- GPT-5.6Missouri27–24✓ Hit
- Kimi K3Missouri27–20✓ Hit
- Grok 4.6Missouri31–24✓ Hit
- GLM-5.3Missouri31–20✓ Hit
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What did the AI predict for Missouri vs Kansas?
ScoreGPT's AI panel predicted Missouri vs Kansas (College Football Week 2) at Kansas 22–29 Missouri, with 5 of 5 models backing Missouri. 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
Missouri is the rightful favourite, leaning on quarterback certainty and receiver talent, but a depleted backfield and Kansas's rivalry home energy make this a competitive, one-score profile rather than a comfortable win.
ScoreGPT predicted a win for Missouri — final score Kansas 21–38 Missouri. Correct.
- Missouri's backfield is thinned: Ahmad Hardy out and Malae Fonoti lost for the season, leaving Jamal Roberts as lead back.
- Austin Simmons threw for 252 yards and four scores in his opener, but faces his first true road start.
- Kansas rolled up 613 yards in its opener, with Isaiah Marshall throwing for 246 yards and two scores.
- Andy Kotelnicki returns as Kansas play-caller, stressing a Missouri defense returning only two starters.
- Kansas hosts the first Lawrence Border War since 2005, a peak rivalry atmosphere.
AI analysis generated 10 Sept 2026
Why ScoreGPT's AI panel leaned this way — Missouri vs Kansas
- Missouri's depleted running back room
- Simmons' first true road start
- Kotelnicki scheme vs rebuilt Mizzou defense
- Peak rivalry home energy for Kansas
From ScoreGPT's pre-game AI analysis of Missouri vs Kansas, written before kickoff on 11 September 2026:
The shape of the consensus
All five models land on the same side: Missouri wins, with projected margins of 3, 7, 10, and 11 — a tight cluster around a one-score Missouri victory. The predicted scores (Missouri 27-31, Kansas 20-24) point to a moderate-scoring, controlled game, not the 70-point track meet of last year's 42-31 meeting. But this is exactly the kind of favourite-lean cluster the calibration guidance warns about: five models agreeing on a ranked SEC road favourite over an unranked Big 12 home side is the default prior, not independent evidence.
Where the experts genuinely disagree, and how it resolves
The real fault line is which injuries matter more. Claude Opus leans on left tackle Cayden Green being doubtful, stacking a backup blindside protector with Austin Simmons' first true road start — a compression mechanism. Grok and GPT counter that Green practiced and is expected back, while Missouri's running back room is the actual casualty list: Ahmad Hardy out, Malae Fonoti lost for the season, leaving Jamal Roberts (3.6 YPC in the opener) as the lead back. GPT's framing is the most persuasive synthesis of these: Green's return protects the passing game enough for Simmons (17-of-19, 252 yards, 4 TD in Week 1) to function, but the missing backfield leverage removes Missouri's ability to turn a late lead into a comfortable multi-score win. That's the difference between winning 31-20 and covering -6.5.
The second disagreement is Kansas's offensive ceiling. Kimi (least informed on 2026 specifics — it openly lacked Kansas's opener in its data) treats the Jayhawks' post-Jalon-Daniels quarterback situation as a hard cap in the high teens. But GPT supplies concrete counter-evidence: Isaiah Marshall went 14-of-19 for 246 yards and two scores against LIU, Kansas rolled up 613 yards, and Andy Kotelnicki's return as play-caller brings a motion-heavy package designed to stress a Missouri defense returning only two starters. Missouri's defensive inexperience on the road in its first real communication test is a genuine equalizer the ranking-based read misses. On balance, Kansas is a functional home underdog, not a sacrificial one — but its path runs through ball control and a compressed possession count, which simultaneously caps the total.
Every model's reasoning — not just the score
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Frequently asked
▸Who did the AI predict to win Missouri vs Kansas?
5 of 5 AI models analyzed by ScoreGPT predicted Missouri to win before kickoff. The game finished Kansas 21–38 Missouri, so the consensus pick was correct — and it stays on the public record either way.
▸What score did the AI predict for Missouri vs Kansas?
ScoreGPT's averaged AI final score was Kansas 22–29 Missouri. The actual final score was Kansas 21–38 Missouri.
▸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 Missouri vs Kansas?
5 AI models predicted this game, each graded on the final result: Claude Opus 5 Missouri (✓ correct result); GPT-5.6 Missouri (✓ correct result); Kimi K3 Missouri (✓ correct result); Grok 4.6 Missouri (✓ correct result); GLM-5.3 Missouri (✓ correct result). Every pick is graded publicly after the final whistle.
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For information and entertainment only.

