SimpleFunctions
7 source contracts·Kalshi 7·refreshed just now·Closes Jun 20, 2026 · 22d·2pp · 16h

Will Texas win the College Softball D1 championship

Liquidity-weighted aggregate sits at 13% across 7 Kalshi contracts.

Implied probability

13%
0%50%100%

Kalshi

13%

7 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

−2pp

16h ago

24h volume

$22K

7 contracts

Closes

Jun 20, 2026

22 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 15% (2 days, 2 points)Aggregate: 15% on 2026-05-28
Aggregate of 7 contracts · 2d

Bracket families

7 clusters across 7 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 the College Softball D1 championship

1 contract$9K

Cluster 2

Will Tennessee win the College Softball D1 championship

1 contract$3K

Cluster 3

Will Nebraska win the College Softball D1 championship

1 contract$3K

Cluster 4

Will Texas win the College Softball D1 championship

1 contract$3K

Cluster 5

Will Arkansas win the College Softball D1 championship

1 contract$2K

Cluster 6

Will Alabama win the College Softball D1 championship

1 contract$1K

Cluster 7

Will Mississippi State win the College Softball D1 championship

1 contract$918

Analysis

Texas is assigned a 15% probability of winning the College Softball D1 championship, meaning the market estimates roughly a 1-in-7 chance they claim the title. This places them in the middle tier of contenders, behind Arkansas (20%) and UCLA (17%) but ahead of Nebraska and Mississippi State. The probability reflects Texas's historical program strength balanced against competitive uncertainties inherent in single-elimination tournament play. The primary drivers of this probability are Texas's regular-season performance through May-June, their seeding and draw position in the NCAA tournament (typically announced in early June), and injury status of key players heading into postseason play. The NCAA Women's College World Series, held in June in Oklahoma City, will definitively settle this market as games proceed through the bracket.

  • Texas's regular-season record and RPI ranking as of early June determine tournament seeding, which materially affects championship odds through bracket placement
  • Comparative strength of top-seeded programs—Arkansas, UCLA, Nebraska—relative to Texas's roster depth and pitcher availability
  • Historical tournament performance: whether Texas has demonstrated ability to win multiple elimination games in prior World Series appearances
  • NCAA tournament bracket composition and draw luck, which determines Texas's path to the championship and quality of opponents faced
  • Injury status of Texas's starting pitcher(s) and key position players heading into the June World Series

What moved the line

  • May 28Texas7pp714¢ · Kalshi
  • May 28Nebraska4pp1713¢ · Kalshi
  • May 28Alabama4pp913¢ · 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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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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