Women's Pro Basketball Semifinals Qualifiers
Leader sits at 84% across 12 bound outcomes, runner-up at 58%. This is a winner-take-all market — the headline is the leader’s price, not an arithmetic mean.
Leader probability
Minnesota
Outcomes
12
winner-take-all
Runner-up
58¢
Las Vegas
Spread
26pp
contested
24h volume
$17
thin orderbook
Closes
Nov 1, 2026
113 days
Venue
Kalshi
12 bound
30-day trend
Bracket family
How the bracket ladder is priced.
Each row is one outcome on the venue. Sorted by 24h volume — the heaviest book is at the top.
Cluster 1
Women's Pro Basketball Semifinals Qualifiers
Women's Pro Basketball Semifinals Qualifiers: Golden State
KXWNBASEMIFINAL-26-GS
Women's Pro Basketball Semifinals Qualifiers: Washington
KXWNBASEMIFINAL-26-WSH
Women's Pro Basketball Semifinals Qualifiers: Seattle
KXWNBASEMIFINAL-26-SEA
Women's Pro Basketball Semifinals Qualifiers: Phoenix
KXWNBASEMIFINAL-26-PHX
Women's Pro Basketball Semifinals Qualifiers: New York
KXWNBASEMIFINAL-26-NY
Women's Pro Basketball Semifinals Qualifiers: Minnesota
KXWNBASEMIFINAL-26-MIN
Women's Pro Basketball Semifinals Qualifiers: Las Vegas
KXWNBASEMIFINAL-26-LV
Women's Pro Basketball Semifinals Qualifiers: Los Angeles
KXWNBASEMIFINAL-26-LA
Women's Pro Basketball Semifinals Qualifiers: Indiana
KXWNBASEMIFINAL-26-IND
Women's Pro Basketball Semifinals Qualifiers: Dallas
KXWNBASEMIFINAL-26-DAL
Women's Pro Basketball Semifinals Qualifiers: Connecticut
KXWNBASEMIFINAL-26-CONN
Women's Pro Basketball Semifinals Qualifiers: Atlanta
KXWNBASEMIFINAL-26-ATL
Analysis
This probability reflects market expectations that one of five women's professional basketball teams will advance to the semifinals. The 59% contract price for the leading team indicates moderately confident odds, with Seattle, Phoenix, and Connecticut showing the most trading activity. The market has priced in uncertainties around regular-season performance, playoff matchups, and injury status heading into the postseason. The primary catalyst for movement will be playoff games themselves—as teams progress or are eliminated, contract prices will sharply realign. Tournament results over the next 2-4 weeks will resolve most uncertainty, with seeding, head-to-head matchups, and late-season roster decisions all influencing which teams reach the semifinals. Current spreads suggest the favorite has a meaningful but not overwhelming advantage.
- ›The leading contract trades at 59 cents versus 24-53 cents for competitors, indicating concentration of probability but not consensus dominance
- ›Seattle shows highest trading volume ($1,292 in 24 hours) despite lowest price (24 cents), suggesting either contrarian interest or volatility around that outcome
- ›Phoenix and Connecticut both trade near 43-46 cents with minimal volume, indicating settled but uncertain positioning
- ›Kalshi's 10 contracts span five named teams, meaning the market has fragmented confidence across multiple potential qualifiers rather than pricing one team as dominant
- ›Washington and Las Vegas trade at minimal volumes ($20 and $10 respectively), suggesting lowest perceived probability of semifinal qualification
What moved the line
- Jul 7New York↑6pp36→42¢ · Kalshi
- Jul 7Dallas↑5pp9→14¢ · Kalshi
- Jul 7Indiana↑5pp15→20¢ · Kalshi
- Jul 7Atlanta↓4pp28→24¢ · Kalshi
- Jul 8Golden State↑3pp23→26¢ · 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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