Abilene Christian Wildcats vs. Tarleton State Texans
Volume:
$4,477,069
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between Abilene Christian Wildcats and Tarleton State Texans scheduled for February 16, 2026 at 8:00 PM ET. Markets cover moneyline (winner), point spreads at multiple thresholds (-1.5 and -2.5), and over/under totals at multiple levels (133.5, 134.5, and 135.5 points).
Kalshi moneyline markets specify both possible outcomes (Abilene Christian win and Tarleton State win) resolving to Yes, creating a logical contradiction that makes the market unresolvable. Polymarket markets are logically sound and consistent.
Hero Tip:
Do not trade Kalshi moneyline markets until resolution logic is corrected. Polymarket moneyline, spread, and total markets are safe to trade and follow standard college basketball settlement conventions.
Critical Divergence Points:
Kalshi: Moneyline markets contain unresolvable logic: both 'If Abilene Christian wins...resolves to Yes' and 'If Tarleton St. wins...resolves to Yes' are stated, making all outcomes identical. This violates binary market structure.
Polymarket: Clear binary moneyline: Abilene Christian win resolves to 'Abilene Christian Wildcats', Tarleton State win resolves to 'Tarleton State Texans'. Spreads resolve based on margin thresholds (-1.5 or -2.5 points). Totals resolve based on combined score thresholds (133.5, 134.5, or 135.5 points). All markets remain open if postponed; resolve 50-50 if canceled with no makeup.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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