Tennessee Tech Golden Eagles vs. UT Martin Skyhawks
Volume:
$167,967
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A college basketball game between Tennessee Tech Golden Eagles and UT Martin Skyhawks scheduled for February 26, 2026 at 8:30 PM ET. Markets cover moneyline (winner), point spread outcomes at multiple thresholds (-7.5 and -8.5), and total points over/under at three different levels (133.5, 134.5, 135.5).
Kalshi moneyline markets contain a logical contradiction where both Tennessee Tech victory and UT Martin victory are stated to resolve to Yes, making the market fundamentally unresolvable. This is a data integrity failure that prevents proper settlement.
Hero Tip:
Do not trade Kalshi moneyline markets (items 1-2). Focus on Polymarket moneyline, spreads, and totals which have consistent, resolvable logic. Contact PredictionHero support to flag the Kalshi contradiction before market expiration.
Critical Divergence Points:
Kalshi: Moneyline markets contain logical contradiction: 'If Tennessee Tech wins... resolves to Yes' AND 'If Tennessee-Martin wins... resolves to Yes'. Both mutually exclusive outcomes cannot both resolve to the same outcome.
Polymarket: Moneyline resolves to 'Tennessee Tech Golden Eagles' if Tennessee Tech wins, or 'UT Martin Skyhawks' if UT Martin wins. Standard binary outcome with clear mutual exclusivity. Spread and total markets use consistent threshold-based logic (e.g., UT Martin -8.5 resolves Yes if they win by 9+ points, otherwise No).
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.