SimpleFunctions
ClosedFinal: Semifinal match?: Elina Svitolina. Last odds shown below are frozen at close (Jun 4, 2026). Future questions tracked on /odds.
4 source contracts·Kalshi 4·closed just now·Closes Jun 15, 2026 · 11d

WTA Tennis Matches

Liquidity-weighted aggregate sits at 50% across 4 Kalshi contracts.

Implied probability

50%
0%50%100%

Kalshi

50%

4 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$153K

4 contracts

Closes

Jun 15, 2026

11 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 49% (2 days, 2 points)Aggregate: 49% on 2026-06-03
Aggregate of 4 contracts · 2d

Bracket families

4 clusters across 4 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 Marta Kostyuk win the Kostyuk vs Andreeva: Semifinal match

1 contract$86K

Cluster 2

Will Mirra Andreeva win the Kostyuk vs Andreeva: Semifinal match

1 contract$23K

Cluster 3

Will Maja Chwalinska win the Shnaider vs Chwalinska: Semifinal match

1 contract$23K

Cluster 4

Will Diana Shnaider win the Shnaider vs Chwalinska: Semifinal match

1 contract$20K

Recently closed in tennis

These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.

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Other questions in tennis.

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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