SimpleFunctions
20 source contracts·Kalshi 20·refreshed just now·Closes Jun 30, 2026 · 5d

Los Angeles D vs San Francisco Winner

Liquidity-weighted aggregate sits at 50% across 20 Kalshi contracts.

Implied probability

50%
0%50%100%

Kalshi

50%

20 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$117K

20 contracts

Closes

Jun 30, 2026

5 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 48% (3 days, 3 points)Aggregate: 48% on 2026-06-25
Aggregate of 20 contracts · 3d

Bracket families

14 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.

Heads-up — heterogeneous clusters

The top two clusters share only 14% of their title tokens — “Los Angeles D vs San Diego Winner” vs “Houston vs Detroit Winner”. The headline aggregate weights both, so the number on this page is meaningful only if the clusters resolve to the same question.

Cluster 1

Los Angeles D vs San Diego Winner

3 contracts$27K

Cluster 2

Houston vs Detroit Winner

3 contracts$6K

Cluster 3

Chicago C vs Milwaukee Winner

2 contracts$14K

Cluster 4

Texas vs Toronto Winner

2 contracts$6K

Cluster 5

New York Y vs Boston Winner

1 contract$24K

Cluster 6

Atlanta vs San Francisco Winner

1 contract$19K

Cluster 7

Philadelphia vs New York M Winner

1 contract$4K

Cluster 8

Kansas City vs Chicago WS Winner

1 contract$4K

Cluster 9

Washington vs Baltimore Winner

1 contract$3K

Cluster 10

Seattle vs Cleveland Winner

1 contract$3K

Cluster 11

A's vs Los Angeles A Winner

1 contract$2K

Cluster 12

Miami vs St. Louis Winner

1 contract$2K

Cluster 13

Cincinnati vs Pittsburgh Winner

1 contract$2K

Cluster 14

Colorado vs Minnesota Winner

1 contract$1K

Analysis

This 50% probability reflects equal odds between Los Angeles D and San Francisco in their upcoming matchup. The even split suggests market participants see both teams as comparably matched, with no clear consensus favorite. Key drivers of this probability include recent team performance metrics, head-to-head historical records, and current injury reports or roster changes. The specific game date and final lineup announcements would likely shift this probability as more information becomes available. Any significant roster changes, coaching decisions, or updated performance data in the days leading up to the matchup could move the odds in either direction. Market participants are monitoring team form and tactical preparation as the contest approaches.

  • Recent win-loss records and point differential for both teams over the last 10-15 games
  • Head-to-head historical performance and outcomes from prior matchups between these teams
  • Current injury status of key players and roster availability confirmed by official team announcements
  • Trading volume and price movement on related prediction contracts showing how sentiment has shifted over time
  • Team's performance in similar game contexts or against comparable opponents in recent weeks

What moved the line

  • Jun 24New York Y32pp1648¢ · Kalshi
  • Jun 24Philadelphia18pp3149¢ · Kalshi
  • Jun 24Texas18pp3149¢ · Kalshi
  • Jun 24Cleveland16pp3147¢ · Kalshi
  • Jun 24Detroit13pp3750¢ · 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: just now.