SimpleFunctions
6 contractsKalshirefreshed 9 min agoCloses Jul 8, 2026 · 66d

Will Coco Gauff win the French Open

Liquidity-weighted aggregate sits at 14% across 6 Kalshi contracts.

Implied probability

14%
0%50%100%

Kalshi

14%

6 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$8K

6 contracts

Closes

Jul 8, 2026

66 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 14% (26 days, 26 points)Aggregate: 14% on 2026-05-03
Aggregate of 6 contracts · 26d

Bracket families

6 clusters across 6 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 Iga Swiatek win the French Open

1 contract$3K

Cluster 2

Will Aryna Sabalenka win the French Open

1 contract$2K

Cluster 3

Will Marta Kostyuk win the French Open

1 contract$2K

Cluster 4

Will Mirra Andreeva win the French Open

1 contract$978

Cluster 5

Will Elena Rybakina win the French Open

1 contract$324

Cluster 6

Will Coco Gauff win the French Open

1 contract$108

Analysis

This probability reflects the market's assessment that Coco Gauff will win the 2026 French Open tennis tournament, currently estimated at 13%. Gauff competes in a field dominated by top-ranked players: Jannik Sinner is priced at 65%, while Iga Swiatek holds 21%, suggesting traders view her as a mid-tier contender rather than a favorite. The 4-percentage-point gap between Kalshi (13%) and Polymarket (9%) indicates modest disagreement on her odds. Gauff's probability would rise with strong performances at preceding tournaments or improved clay-court results, and fall if higher-ranked opponents display superior form. The French Open tournament itself, scheduled for late May 2026, will resolve this contract. Current pricing implies roughly 1-in-8 odds for Gauff, positioning her below Swiatek but above players like Zverev and Djokovic in the market's hierarchy.

  • Gauff's 13% implied odds rank below Swiatek (21%) and well below Sinner (65%), suggesting traders view her as unlikely to win despite her career achievements
  • Kalshi volumes significantly exceed Polymarket on this outcome ($6,854 in 24h volume), with the 4pp spread indicating room for disagreement on her true probability
  • Pre-tournament performance on clay courts between now and late May 2026 will provide concrete data on form and fitness that could shift market pricing
  • Recent head-to-head records and ranking fluctuations against top contenders directly inform whether traders adjust the 13% estimate upward or downward
  • The tournament date in late May 2026 serves as the hard deadline for resolution, making near-term clay performances the primary catalyst for probability movement

What moved the line

  • Apr 27Iga Swiatek6pp2014¢ · Kalshi
  • May 1Iga Swiatek4pp1317¢ · Kalshi
  • Apr 29Elena Rybakina4pp1612¢ · Kalshi
  • Apr 30Iga Swiatek3pp1613¢ · Kalshi
  • Apr 27Elena Rybakina3pp1316¢ · 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.

Last updated on this page: 9 min ago.