TOTAL VOLUME:
$54.4b
24H VOL:
$234,875,025
OPEN INTEREST:
$1,205,330,693
501,301
Markets across
13,585
events
MATCHED EVENTS:
1,825
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
South Carolina Gamecocks vs. Alabama Crimson Tide
Volume:
$772,389
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 the South Carolina Gamecocks and Alabama Crimson Tide scheduled for February 14, 2026 at 8:30 PM ET. Markets span moneyline (winner), point spreads at -17.5 and -18.5, and over/under totals at 167.5, 168.5, and 170.5 points.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's moneyline market resolves to Yes for both possible outcomes (SC win or Alabama win), making it logically unresolvable. Polymarket and all spread/total markets use standard binary or threshold-based logic.Hero Tip:
Avoid the Kalshi moneyline entirely due to logical contradiction. Trade Polymarket moneyline and all spread/total markets with confidence, as they share unified resolution criteria: final score including overtime, postponement keeps market open, cancellation with no makeup resolves 50-50.Critical Divergence Points:
- Kalshi: Moneyline market states both 'If South Carolina wins...resolves to Yes' AND 'If Alabama wins...resolves to Yes', creating a logical impossibility. No differentiation between outcomes.
- Polymarket: Moneyline resolves to 'South Carolina Gamecocks' if SC wins, or 'Alabama Crimson Tide' if Alabama wins. Clear binary outcomes with no ambiguity.
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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