SimpleFunctions
17 contractsKalshirefreshed 5 min agoCloses May 18, 2026 · 15d

Chicago Stars FC vs. Portland Thorns FC

Liquidity-weighted aggregate sits at 40% across 17 Kalshi contracts.

Implied probability

40%
0%50%100%

Kalshi

40%

17 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$4K

17 contracts

Closes

May 18, 2026

15 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 38% (4 days, 4 points)Aggregate: 38% on 2026-05-03
Aggregate of 17 contracts · 4d

Bracket families

5 clusters across 17 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 17% of their title tokens — “Will Vivo Keyd Stars” vs “Will LOUD win”. 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 Vivo Keyd Stars

6 contracts$631

Cluster 2

Will LOUD win

3 contracts$2K

Cluster 3

Chicago vs Portland Thorns Winner

3 contracts$1K

Cluster 4

Will 7REX win

3 contracts$23

Cluster 5

Will over 2.5 maps be played in the Vivo Keyd Stars

2 contracts$0

Analysis

This 39% probability represents traders' estimate that Chicago Stars FC will defeat Portland Thorns FC in an upcoming match. The substantial 13-percentage-point gap between Polymarket (41%) and Kalshi (28%) suggests disagreement about Chicago's chances, likely reflecting different weightings of recent team performance, injury status, or home-field advantage. The match outcome will depend primarily on current roster availability, recent form and head-to-head dynamics, and venue conditions. Resolution occurs immediately following the match completion, making this a straightforward binary event with minimal ambiguity.

  • Chicago's recent win-loss record and goal differential compared to Portland's current season performance
  • Injury or roster availability status for key players on both teams as of match day
  • Historical head-to-head results between these teams and home vs. away performance patterns
  • The 13-percentage-point spread between venues suggests either systematic differences in trader bases or asymmetric information access between markets
  • Home-field advantage location and any documented weather or field condition factors affecting play style

What moved the line

  • May 3Vivo Keyd Stars43pp1255¢ · Kalshi
  • May 1Vivo Keyd Stars32pp4412¢ · Kalshi
  • May 3Vivo Keyd Stars Academy23pp2952¢ · Kalshi
  • May 2Vivo Keyd Stars Academy22pp5230¢ · Kalshi
  • May 2Vivo Keyd Stars Academy18pp4729¢ · 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.

Last updated on this page: 5 min ago.