Samford Bulldogs vs. East Tennessee State Buccaneers
Volume:
$2,439,885
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between Samford Bulldogs and East Tennessee State Buccaneers scheduled for February 14, 2026 at 12:00 PM ET. Markets cover moneyline winner, multiple point spread variations (-5.5, -6.5, -7.5), and total points over/under thresholds (146.5, 147.5).
Kalshi's moneyline market contains a logical contradiction where both possible game outcomes (Samford win or ETSU win) resolve to the same result (Yes), making the market fundamentally unresolvable and unable to differentiate between outcomes.
Hero Tip:
Do not trade the Kalshi moneyline market as written — it is logically broken. Use Polymarket's moneyline (Samford Bulldogs vs. East Tennessee State Buccaneers) as the authoritative binary outcome. All spread markets (-5.5, -6.5, -7.5) and total markets (146.5, 147.5) are consistent across platforms and resolvable based on final score including overtime.
Critical Divergence Points:
Kalshi: Moneyline market states both outcomes resolve to Yes: 'If East Tennessee St. wins...resolves to Yes' AND 'If Samford wins...resolves to Yes'. This creates a logical impossibility where the market cannot differentiate between the two teams.
Polymarket: Moneyline market uses standard binary resolution: resolves to 'Samford Bulldogs' if Samford wins, or 'East Tennessee State Buccaneers' if ETSU wins. Includes postponement (market stays open) and cancellation (50-50 split) clauses.
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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