SimpleFunctions
5 contractsKalshirefreshed 2 min agoCloses Mar 1, 2027 · 296d

Will the Big 12 win the College Football National Championship

Liquidity-weighted aggregate sits at 17% across 5 Kalshi contracts.

Implied probability

17%
0%50%100%

Kalshi

17%

5 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$18

5 contracts

Closes

Mar 1, 2027

296 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 31% (22 days, 22 points)Aggregate: 31% on 2026-05-07
Aggregate of 5 contracts · 22d

Bracket families

4 clusters across 5 contracts.

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

Heads-up — heterogeneous clusters

The top two clusters share only 22% of their title tokens — “Will the Big” vs “Will the SEC win the College Football National Championship”. The headline aggregate weights both, so the number on this page is meaningful only if the clusters resolve to the same question.

Cluster 1

Will the Big

2 contracts$0

Cluster 2

Will the SEC win the College Football National Championship

1 contract$18

Cluster 3

Will the ACC win the College Football National Championship

1 contract$0

Cluster 4

Will Any Other Conference/Independent win the College Football National Championship

1 contract$0

Analysis

This 17% probability represents the chance that a Big 12 conference team wins the College Football National Championship. The assessment reflects that while the Big 12 has competitive programs, other conferences—particularly the SEC and Big Ten—have historically dominated the playoff in recent years. The probability could rise if Big 12 teams demonstrate strong performance during the regular season, particularly if Texas Tech (the conference favorite at 44 cents) or another contender builds an impressive resume. The main drivers are conference strength relative to competitors and individual team performance through the fall 2026 season, with the College Football Playoff selection process in December serving as the critical juncture where playoff qualification becomes clear.

  • Texas Tech holds the highest win probability within the Big 12 at 44%, suggesting it is the conference's best-positioned contender but still faces substantial odds against national competition
  • The Big 12's aggregate 17% probability is substantially lower than historical baseline expectations for Power Four conferences, indicating market skepticism about conference competitiveness
  • The five largest contracts span five different Big 12 teams, with no single program commanding dominant probability, reflecting distributed rather than concentrated championship risk within the conference
  • Regular season performance metrics from September through November 2026 will determine which Big 12 teams qualify for the 12-team playoff and build championship-viable resumes
  • Historical conference playoff representation shows the Big 12 has secured fewer national championship appearances than the SEC and Big Ten over the past decade

Recently closed in general

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

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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.

Last updated on this page: 2 min ago.