Women's Pro Basketball Playoff Qualifiers
New York is priced at 85¢ on Kalshi. Current book: 85¢ bid, 97¢ ask, 12¢ spread. This outcome ranks #6 of 15 inside Women's Pro Basketball Playoff Qualifiers.
Price history
85¢ current
−1¢Contract brief
If New York qualifies for the 2026 Women's Pro Basketball Playoffs, then the market resolves to Yes.
Outcome
New York
Rank
#6 of 15
Leader
Las Vegas 93¢
Range
3¢-93¢
Family volume
$3K
Identifier
KXWNBAPLAYOFF-26-NY
Jun 23, 2026, 7:38 PM UTC · 29m ago
Implied probability
Bid
85¢
Ask
97¢
Spread
12¢
24h volume
$105
Family rank
#6 of 15
15 outcomes · Women's Pro Basketball Playoff Qualifiers
Closes
Nov 1, 2026
Family volume
$3K
Orderbook snapshot
85 / 97¢
Contract terms
What resolves this market.
YES condition
If New York qualifies for the 2026 Women's Pro Basketball Playoffs, then the market resolves to Yes.
Venue
Kalshi
Closes
Nov 1, 2026
Identifier
KXWNBAPLAYOFF-26-NY
Event family
Women's Pro Basketball Playoff Qualifiers.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$3K
Outcomes
15
Highest price
Las Vegas 93¢
Current share
4%
Las Vegas
kalshi · KXWNBAPLAYOFF-26-LV
Dallas
kalshi · KXWNBAPLAYOFF-26-DAL
Minnesota
kalshi · KXWNBAPLAYOFF-26-MIN
Atlanta
kalshi · KXWNBAPLAYOFF-26-ATL
Golden State
kalshi · KXWNBAPLAYOFF-26-GS
New York
kalshi · KXWNBAPLAYOFF-26-NY
Indiana
kalshi · KXWNBAPLAYOFF-26-IND
Los Angeles
kalshi · KXWNBAPLAYOFF-26-LA
Washington
kalshi · KXWNBAPLAYOFF-26-WSH
Seattle
kalshi · KXWNBAPLAYOFF-26-SEA
Phoenix
kalshi · KXWNBAPLAYOFF-26-PHX
Portland
kalshi · KXWNBAPLAYOFF-26-PDX
Toronto
kalshi · KXWNBAPLAYOFF-26-TOR
Chicago
kalshi · KXWNBAPLAYOFF-26-CHI
Connecticut
kalshi · KXWNBAPLAYOFF-26-CONN
Indicators
Yield, cliff risk, volatility, and regime.
Regime
taker
Score
0.636
Observability
direct
Event type
sports
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Kalshi vs Polymarket: Which Prediction Market Should You Trade?
In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.
Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)
Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.
Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity
Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.
Liquidity Availability Is the Real Edge in Prediction Markets
Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.
Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity
How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.
Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens
Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 85% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.
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.