TOTAL VOLUME:
$54.3b
24H VOL:
$158,613,015
OPEN INTEREST:
$1,206,641,323
499,459
Markets across
13,676
events
MATCHED EVENTS:
1,789
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Middle Tennessee Blue Raiders vs. Sam Houston Bearkats
Volume:
$366,769
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a men's college basketball game between Middle Tennessee Blue Raiders and Sam Houston Bearkats scheduled for February 18, 2026 at 7:30 PM ET. Markets include moneyline (winner), multiple point spread variations, and over/under total points wagering.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains a logical contradiction where the resolution rules as stated would allow both outcomes to resolve to Yes, making the market fundamentally unresolvable. Polymarket moneyline uses standard mutually-exclusive winner resolution.Hero Tip:
Treat Kalshi moneyline as unreliable until platform clarifies the second outcome. All other markets (spreads and totals) are consistent: game result determined by final score including overtime, postponement keeps market open, cancellation with no makeup resolves 50-50.Critical Divergence Points:
- Kalshi: Moneyline structure states both Sam Houston win and Middle Tennessee win resolve to Yes, creating logical impossibility. No mutually-exclusive resolution path defined.
- Polymarket: Moneyline resolves to winner name only (Middle Tennessee Blue Raiders XOR Sam Houston Bearkats). Standard mutually-exclusive binary outcome.
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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