Will there be exactly the same amount of ACC and Big 12 players selected in the 1st round of the 2026 Pro Basketball Draft?
This contract is priced at 9¢ on Kalshi. Current book: 1¢ bid, 9¢ ask, 8¢ spread.
Implied probability
Event outcomes
3
Family volume
$134
Best sibling
Big 12 84¢
Ticker
KXNBADRAFTCOMP-26ACCBIG12-TIE
Price history
9¢ current
−1¢Orderbook snapshot
1 / 9¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
If there are exactly as many ACC as Big 12 players selected in the 1st round of the 2026 Pro Basketball Draft, then the market resolves to Yes.
Venue
Kalshi
Closes
Jul 10, 2026
Identifier
KXNBADRAFTCOMP-26ACCBIG12-TIE
Event family
KXNBADRAFTCOMP-26ACCBIG12.
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
$134
Outcomes
3
Highest price
Big 12 84¢
Current share
60%
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
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.
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.
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.
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.
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.
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 9% 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.