TOTAL VOLUME:
$54.6b
24H VOL:
$283,259,638
OPEN INTEREST:
$1,235,549,422
505,521
Markets across
13,661
events
MATCHED EVENTS:
1,892
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Bryant Bulldogs vs. NJIT Highlanders (W)
Volume:
$22,725
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a women's college basketball game between Bryant Bulldogs and NJIT Highlanders scheduled for February 28, 2026 at 4:30 PM ET. Markets across Polymarket and Kalshi are pricing the outcome of this single game, with resolution tied to the final score including overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market is logically unresolvable due to both Bryant win and NJIT win resolving to Yes, with no defined No outcome. Polymarket provides standard binary winner-take-all logic.Hero Tip:
Kalshi's market design is broken and cannot settle properly. Treat Polymarket as the authoritative source. Avoid trading Kalshi until the platform corrects the resolution criteria to include a valid No path.Critical Divergence Points:
- Polymarket: Standard binary winner-take-all. Bryant win resolves to Bryant Bulldogs; NJIT win resolves to NJIT Highlanders. Postponement extends market; cancellation without makeup resolves 50-50. Source: NCAA.com final score including overtime.
- Kalshi: Both Bryant win and NJIT win resolve to Yes. No defined No outcome. Creates logical impossibility where every game result maps to Yes, leaving market unresolvable.
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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