SimpleFunctions
20 source contracts·Kalshi 20·refreshed just now·Closes Dec 20, 2026 · 90d

Will Ohio St. win at least 12 games this season

Liquidity-weighted aggregate sits at 59% across 20 Kalshi contracts.

Implied probability

59%
0%50%100%

Kalshi

59%

20 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$18K

20 contracts

Closes

Dec 20, 2026

90 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 48% (25 days, 25 points)Aggregate: 48% on 2026-09-19
Aggregate of 20 contracts · 25d

Bracket families

13 clusters across 20 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 Texas Tech win at least

4 contracts$5K

Cluster 2

Will BYU win at least

3 contracts$2K

Cluster 3

Will Nebraska win at least

2 contracts$3K

Cluster 4

Will Oklahoma St. win at least

2 contracts$2K

Cluster 5

Will USC win at least 10 games this season

1 contract$1K

Cluster 6

Will LSU win at least 12 games this season

1 contract$850

Cluster 7

Will Kansas St. win at least 11 games this season

1 contract$839

Cluster 8

Will Notre Dame win at least 12 games this season

1 contract$838

Cluster 9

Will North Carolina win at least 3 games this season

1 contract$650

Cluster 10

Will Boise St. win at least 10 games this season

1 contract$552

Cluster 11

Will Georgia win at least 6 games this season

1 contract$505

Cluster 12

Will Stanford win at least 2 games this season

1 contract$505

Cluster 13

Will Miami (FL) win at least 7 games this season

1 contract$505

Analysis

A 43% probability means the market estimates Ohio State has slightly better than even odds of winning at least 12 games this season. This reflects uncertainty about whether the team can sustain performance through a full Big Ten schedule and potential bowl play. The probability appears influenced by the team's roster composition, strength of schedule, and performance in early-season games against ranked opponents. Key uncertainty centers on quarterback consistency, defensive depth, and how Ohio State performs in games against elite conference rivals like Texas, Penn State, and Michigan—matchups scheduled through October and November that will substantially clarify playoff and bowl eligibility prospects. The market's 43% reading sits lower than some peer programs, suggesting bettors see moderate obstacles to reaching 12 wins despite Ohio State's traditional resources and recruiting advantages.

  • Actual win-loss record through games completed versus games remaining on the schedule
  • Performance differential against top-25 ranked opponents compared to historical Ohio State benchmarks
  • Quarterback injury status and backup readiness, which directly impacts game outcomes
  • Head-to-head results in Big Ten conference play, particularly against Texas, Penn State, and Michigan
  • Bowl game qualification status and opponent strength, which determines whether 12 wins is mathematically achievable

What moved the line

  • Sep 176+ wins43pp2467¢ · Kalshi
  • Sep 183+ wins39pp8748¢ · Kalshi
  • Sep 178+ wins27pp734¢ · Kalshi
  • Sep 1710+ wins26pp329¢ · Kalshi
  • Sep 1810+ wins17pp2912¢ · 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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