Dallas vs Indiana
This contract is priced at 76¢ midpoint on Kalshi. Current book: 59¢ bid, 93¢ ask, 34¢ spread.
Implied probability
Event outcomes
1
Family volume
$0
Best sibling
—
Ticker
KXWNBATOTAL-26MAY09DALIND-170
Market snapshot
Dallas vs Indiana in market context.
This page tracks the Kalshi contract for Dallas vs Indiana. The displayed quote is 76¢ from the visible bid/ask midpoint because the last venue price is zero. It is currently represented as a standalone prediction-market contract. The indicator bundle was refreshed May 9, 2026, 4:08 AM UTC.
Outcome
Dallas vs Indiana
Family rank
—
Venue
Kalshi
Current quote
76¢
Quote source
Bid/ask midpoint
Timing
Listed until May 23, 2026
Reported volume
—
Family context
Standalone contract
Quote range
—
Family leader
—
Last updated
May 9, 2026, 4:08 AM UTC · 16m ago
Venue identifier: KXWNBATOTAL-26MAY09DALIND-170. Family volume: —.
Price history
76¢ current
+74¢Orderbook snapshot
59 / 93¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
If the teams in the Dallas vs Indiana women's professional basketball game originally scheduled for May 9, 2026 collectively score more than 169.5 points, then the market resolves to Yes.
Venue
Kalshi
Closes
May 23, 2026
Identifier
KXWNBATOTAL-26MAY09DALIND-170
Event family
This market.
This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.
Total volume
$0
Outcomes
1
Highest price
Dallas vs Indiana 76¢
Current share
—
Dallas vs Indiana
kalshi · KXWNBATOTAL-26MAY09DALIND-170
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Prediction market liquidity: why depth matters more than volume for serious traders
Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.
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.
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.
Computing Liquidity Availability Score from the Orderbook
Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.
Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026
Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ
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 76% 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.