SimpleFunctions
9 source contracts·Kalshi 9·refreshed just now·Closes Mar 28, 2027 · 189d

Will Illinois be the Big Ten tournament champions

Liquidity-weighted aggregate sits at 11% across 9 Kalshi contracts.

Implied probability

11%
0%50%100%

Kalshi

11%

9 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$0

9 contracts

Closes

Mar 28, 2027

189 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 3% (19 days, 19 points)Aggregate: 3% on 2026-09-19
Aggregate of 9 contracts · 19d

Bracket families

8 clusters across 9 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 13% of their title tokens — “Will Michigan” vs “Will Illinois be the Big Ten tournament champions”. 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 Michigan

2 contracts$0

Cluster 2

Will Illinois be the Big Ten tournament champions

1 contract$0

Cluster 3

Will Indiana be the Big Ten tournament champions

1 contract$0

Cluster 4

Will Nebraska be the Big Ten tournament champions

1 contract$0

Cluster 5

Will Oregon be the Big Ten tournament champions

1 contract$0

Cluster 6

Will Purdue be the Big Ten tournament champions

1 contract$0

Cluster 7

Will USC be the Big Ten tournament champions

1 contract$0

Cluster 8

Will Wisconsin be the Big Ten tournament champions

1 contract$0

Analysis

Illinois is currently priced at 47% to win the Big Ten tournament, placing it as a competitive contender in the field. This probability reflects Illinois's position as a mid-tier favorite among Big Ten schools, trailing Nebraska (97¢) but ahead of USC (29¢). The pricing would likely shift based on team performance during the regular season, including win-loss records, strength of schedule results, and any roster changes or injuries affecting key players. The Big Ten tournament itself, typically held in March, represents the primary resolution event. Illinois's tournament odds depend on securing a favorable seeding through regular-season play and then navigating the tournament bracket successfully. Current market liquidity is relatively modest, with limited 24-hour volume, suggesting prices may adjust as the tournament approaches and more information becomes available about team form and matchup dynamics.

  • Illinois's regular-season record and final Big Ten standing, which directly determines tournament seeding and bracket position
  • Comparative strength of Big Ten competitors, particularly Nebraska's continued performance relative to Illinois throughout the season
  • Injury status and roster stability of Illinois's key rotation players entering the tournament
  • The specific tournament bracket structure and potential matchup advantages or disadvantages Illinois may face
  • Recent head-to-head records and trends between Illinois and other tournament contenders

What moved the line

  • Sep 17Nebraska15pp419¢ · Kalshi
  • Sep 19Illinois10pp133¢ · Kalshi
  • Sep 18Illinois5pp813¢ · Kalshi
  • Sep 17Illinois4pp128¢ · 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.

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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.

Last updated on this page: just now.