TOTAL VOLUME:
$54.4b
24H VOL:
$216,099,358
OPEN INTEREST:
$1,189,677,720
500,754
Markets across
13,672
events
MATCHED EVENTS:
1,801
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Ole Miss Rebels vs. Texas Longhorns
Volume:
$1,785,720
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between Ole Miss Rebels and Texas Longhorns scheduled for March 11, 2026 at 7:00 PM ET. Markets cover moneyline (winner), point spread (Texas -6.5), and multiple over/under totals (144.5, 145.5, 147.5).
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market has contradictory resolution logic where both outcomes resolve to Yes, making it fundamentally unresolvable. Polymarket moneyline is logically sound and mutually exclusive.Hero Tip:
Do not trade the Kalshi moneyline; it will fail settlement. Polymarket moneyline, spread, and all over/under markets are consistent and resolvable. Use final score including overtime as the single source of truth for all markets.Critical Divergence Points:
- Kalshi: Moneyline market states: If Texas wins then Yes; If Ole Miss wins then Yes. This is a logical contradiction for a binary market and makes resolution impossible.
- Polymarket: Moneyline resolves to either Ole Miss Rebels or Texas Longhorns based on game winner. Spread resolves based on margin (Texas -6.5). Over/under markets resolve based on combined score thresholds (144.5, 145.5, 147.5). All use final score including overtime.
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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