SimpleFunctions
14 source contracts·Kalshi 14·refreshed just now·Closes Dec 20, 2026 · 209d

Will Ohio St. win at least 12 games this season

Liquidity-weighted aggregate sits at 43% across 14 Kalshi contracts.

Implied probability

43%
0%50%100%

Kalshi

43%

14 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$287

14 contracts

Closes

Dec 20, 2026

209 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 43% (14 days, 14 points)Aggregate: 43% on 2026-05-25
Aggregate of 14 contracts · 14d

Bracket families

6 clusters across 14 contracts.

These contracts were grouped by title similarity. The headline aggregate combines all clusters; verify the cluster you actually need before quoting a number.

Cluster 1

Will Alabama win at least

6 contracts$249

Cluster 2

Will Arizona win at least

4 contracts$0

Cluster 3

Will Indiana win at least 11 games this season

1 contract$15

Cluster 4

Will Texas A&M win at least 9 games this season

1 contract$15

Cluster 5

Will Oregon win at least 10 games this season

1 contract$8

Cluster 6

Will Ohio St. win at least 10 games this season

1 contract$0

Analysis

The 47% probability reflects a near-coin-flip assessment of whether Ohio State will achieve at least 12 wins during the 2026 college football season. This level suggests meaningful uncertainty about the team's performance trajectory. The probability is likely influenced by Ohio State's preseason roster composition, strength of schedule, and recent historical performance patterns. Key variables affecting this outcome include injury status to key players heading into the season, performance in non-conference games that establish baseline competitiveness, and results in Big Ten competition. The most significant near-term catalyst would be the team's performance through the first 4-5 games of the season, which would clarify actual competitive level versus preseason expectations and inform whether reaching 12 wins remains plausible or has become substantially more difficult.

  • Ohio State's win-loss record through Week 5 of the season, which will indicate actual performance against stated competition level
  • Cumulative injuries to offensive or defensive starters, as depth impacts ability to sustain 12-win pace across full schedule
  • Performance in marquee non-conference games or early Big Ten matchups that test whether preseason projections are tracking
  • Strength of schedule composition—specific opponents faced in months 2-3 of season that determine win-probability math for 12-win threshold
  • Historical Ohio State program baseline (typical win totals under current coaching regime) versus market's implicit expectations

What moved the line

  • May 185+ wins41pp4485¢ · Kalshi
  • May 245+ wins28pp6941¢ · Kalshi
  • May 207+ wins19pp7657¢ · Kalshi
  • May 226+ wins18pp4260¢ · Kalshi
  • May 225+ wins16pp8569¢ · Kalshi

Recently closed in general

These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.

More like this

Adjacent prediction questions.

How we compute these odds

SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.

For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.

Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.

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