TOTAL VOLUME:
$54.1b
24H VOL:
$217,487,446
OPEN INTEREST:
$1,300,303,450
498,643
Markets across
13,761
events
MATCHED EVENTS:
1,763
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
South Carolina Gamecocks vs. Ole Miss Rebels
Volume:
$727,135
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 South Carolina Gamecocks and Ole Miss Rebels scheduled for March 7, 2026 at 1:00 PM ET. Markets span moneyline (winner), point spread (-6.5 and -7.5), and over/under totals (146.5 and 147.5), with consistent resolution tied to final game score including overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains logical contradiction where both possible game outcomes (SC win and Ole Miss win) resolve to Yes, making the market unresolvable. Polymarket moneyline is logically sound with mutually exclusive outcomes.Hero Tip:
Do not trade the Kalshi moneyline market. It cannot be resolved correctly. Trade Polymarket moneyline instead, or use spread and total markets which are consistent across platforms.Critical Divergence Points:
- Kalshi: Moneyline market states: If Ole Miss wins then Yes. If South Carolina wins then Yes. This creates logical impossibility where both outcomes trigger Yes resolution. No path to No resolution exists.
- Polymarket: Moneyline market correctly resolves to South Carolina Gamecocks if SC wins, or Ole Miss Rebels if Ole Miss wins. Mutually exclusive 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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