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%
Elon Phoenix vs. Stony Brook Seawolves (W)
Volume:
$20,111
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the women's college basketball game between Elon Phoenix and Stony Brook Seawolves scheduled for March 1, 2026 at 12:00 PM ET. Both Polymarket and Kalshi are offering binary outcome markets on this matchup, with resolution based on the final score including overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution logic is logically contradictory, stating both Stony Brook win and Elon win resolve to Yes, making the market fundamentally unresolvable. Polymarket provides clear, mutually exclusive outcomes.Hero Tip:
Do not trade on Kalshi until this contradiction is resolved. The market cannot function as written. Polymarket is the reliable source for this event.Critical Divergence Points:
- Polymarket: Binary winner-take-all resolution. Resolves to Elon Phoenix if Elon wins, Stony Brook Seawolves if Stony Brook wins. Postponement keeps market open; cancellation with no makeup resolves 50-50. Resolution based on final score including overtime.
- Kalshi: Logically contradictory: states both Stony Brook win and Elon win resolve to Yes. This is a data integrity failure—a binary market cannot have both outcomes resolve to the same value. No clear No resolution path is documented.
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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