TOTAL VOLUME:
$54.4b
24H VOL:
$224,446,576
24H TRANSACTIONS:
531,611,392
OPEN INTEREST:
$1,198,377,813
501,416
Markets across
13,642
events
MATCHED EVENTS:
1,816
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Lipscomb Bisons vs. West Georgia Wolves
Volume:
$27,040
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A college basketball game between Lipscomb Bisons and West Georgia Wolves scheduled for February 25, 2026 at 7:00 PM ET. Multiple prediction markets cover the moneyline outcome, point spread (-5.5 and -6.5), and total points over/under (152.5 and 154.5).
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains a logical contradiction where both possible outcomes (West Georgia win and Lipscomb win) resolve to Yes, making the market fundamentally unresolvable. Polymarket provides proper mutually exclusive outcomes.Hero Tip:
Treat the Kalshi moneyline as broken and unresolvable. Trade only on Polymarket's moneyline market. The spread and total markets on both platforms are logically sound and can be used safely.Critical Divergence Points:
- Kalshi: Moneyline market has both outcomes resolving to Yes. Quote: 'If West Georgia wins...resolves to Yes' AND 'If Lipscomb wins...resolves to Yes.' This is a data integrity failure.
- Polymarket: Moneyline market has mutually exclusive outcomes. Quote: 'If Lipscomb wins, resolve to Lipscomb Bisons. If West Georgia wins, resolve to West Georgia Wolves.' Spread and total markets also properly defined with clear thresholds.
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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