TOTAL VOLUME:
$54.4b
24H VOL:
$230,557,910
24H TRANSACTIONS:
531,611,392
OPEN INTEREST:
$1,202,344,730
501,342
Markets across
13,602
events
MATCHED EVENTS:
1,822
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Drake Bulldogs vs. Southern Illinois Salukis
Volume:
$2,658,702
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between Drake Bulldogs and Southern Illinois Salukis scheduled for March 5, 2026 at 4:30 PM ET. Markets cover moneyline (winner), point spread outcomes, and total points over/under at multiple thresholds.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline resolves to Yes for any game outcome (either team winning), while Polymarket moneyline resolves to the specific winning team name. Spread and total markets are logically consistent across both platforms.Hero Tip:
Treat Kalshi and Polymarket moneylines as separate market types, not hedges. Kalshi's market is a certainty bet on game completion; Polymarket's is a team selection bet. Focus arbitrage on spread and total markets, which share identical resolution thresholds.Critical Divergence Points:
- Kalshi: Moneyline resolves Yes regardless of winner. Both Southern Illinois and Drake outcomes map to Yes. This is a binary certainty bet on the game occurring and concluding with a winner.
- Polymarket: Moneyline resolves to team name (Drake Bulldogs or Southern Illinois Salukis). This is a categorical outcome bet requiring selection of the specific winner.
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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