Will Mirra Andreeva win the Mirra Andreeva vs Maja Chwalinska match by a set score of 2-0
Liquidity-weighted aggregate sits at 26% across 4 Kalshi contracts.
Implied probability
Kalshi
26%
4 contracts
Polymarket
—
not bound
Cross-venue gap
—
single venue
24h move
+1pp
27h ago
24h volume
$4K
4 contracts
Top contract
57¢
$3K · Kalshi
30-day trend
Bracket families
2 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 Mirra Andreeva win the Mirra Andreeva vs Maja Chwalinska match by a set score of 2
Will Mirra Andreeva win the Mirra Andreeva vs Maja Chwalinska match by a set score of 2-0?: Mirra Andreeva wins 2-0
KXWTAEXACTMATCH-26JUN06ANDCHW-AND20
Will Mirra Andreeva win the Mirra Andreeva vs Maja Chwalinska match by a set score of 2-1?: Mirra Andreeva wins 2-1
KXWTAEXACTMATCH-26JUN06ANDCHW-AND21
Cluster 2
Will Maja Chwalinska win the Mirra Andreeva vs Maja Chwalinska match by a set score of 2
Will Maja Chwalinska win the Mirra Andreeva vs Maja Chwalinska match by a set score of 2-1?: Maja Chwalinska wins 2-1
KXWTAEXACTMATCH-26JUN06ANDCHW-CHW21
Will Maja Chwalinska win the Mirra Andreeva vs Maja Chwalinska match by a set score of 2-0?: Maja Chwalinska wins 2-0
KXWTAEXACTMATCH-26JUN06ANDCHW-CHW20
Analysis
This probability represents the likelihood that Mirra Andreeva will defeat Maja Chwalinska by winning the first two sets without dropping a set. The 25% estimate suggests markets view this as a meaningful possibility but not the most likely outcome—traders assign roughly 57% to an Andreeva 2-0 victory based on contract pricing, with alternative scenarios like Chwalinska winning 2-1 (14%) or Andreeva winning 2-1 (21%) splitting the remaining probability. The probability reflects relative playing strength, recent form, and head-to-head history between the two players. A straight-sets win requires dominant performance rather than a competitive three-set match, making this outcome more specific than simply picking a winner. The match itself will resolve all uncertainty once played.
- ›Recent ATP/WTA rankings and seeding differential between Andreeva and Chwalinska establish baseline competitive gaps
- ›Head-to-head record and performance patterns in previous meetings, if any, directly indicate stylistic matchups
- ›Surface type and venue conditions of the scheduled match (hard court, clay, grass) favor different playing styles and influence set-win probabilities
- ›Recent form and injury status of both players in the weeks leading up to the match affect confidence in dominant performance
- ›Contractual pricing shows markets assign 57% to the 2-0 outcome specifically, implying 43% probability that the match goes to at least three sets regardless of winner
What moved the line
- Jun 5Mirra Andreeva wins 2-0↑16pp41→57¢ · Kalshi
- Jun 5Maja Chwalinska wins 2-1↑4pp10→14¢ · Kalshi
- Jun 5Mirra Andreeva wins 2-1↑3pp18→21¢ · 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.
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