Will Coco Gauff win the French Open
Liquidity-weighted aggregate sits at 14% across 6 Kalshi contracts.
Implied probability
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
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
Will Iga Swiatek win the French Open?: Iga Swiatek
KXFOWOMEN-26-SWI
Cluster 2
Will Aryna Sabalenka win the French Open
Will Aryna Sabalenka win the French Open?: Aryna Sabalenka
KXFOWOMEN-26-SAB
Cluster 3
Will Marta Kostyuk win the French Open
Will Marta Kostyuk win the French Open?: Marta Kostyuk
KXFOWOMEN-26-KOS
Cluster 4
Will Mirra Andreeva win the French Open
Will Mirra Andreeva win the French Open?: Mirra Andreeva
KXFOWOMEN-26-AND
Cluster 5
Will Elena Rybakina win the French Open
Will Elena Rybakina win the French Open?: Elena Rybakina
KXFOWOMEN-26-RYB
Cluster 6
Will Coco Gauff win the French Open
Will Coco Gauff win the French Open?: Coco Gauff
KXFOWOMEN-26-GAU
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 Swiatek↓6pp20→14¢ · Kalshi
- May 1Iga Swiatek↑4pp13→17¢ · Kalshi
- Apr 29Elena Rybakina↓4pp16→12¢ · Kalshi
- Apr 30Iga Swiatek↓3pp16→13¢ · Kalshi
- Apr 27Elena Rybakina↑3pp13→16¢ · Kalshi
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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.