TOTAL VOLUME:
$54.4b
24H VOL:
$234,875,025
OPEN INTEREST:
$1,205,330,693
501,301
Markets across
13,585
events
MATCHED EVENTS:
1,825
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
New Mexico State Aggies vs. Sam Houston Bearkats (W)
Volume:
$33,858
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 New Mexico State Aggies and Sam Houston Bearkats scheduled for March 7, 2026. Markets across Polymarket and Kalshi are pricing the outcome of this matchup, with resolution tied to the final game result.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction where both possible game outcomes (Sam Houston win and New Mexico State win) are mapped to the same resolution (Yes), leaving no valid path for a No resolution. This makes the market fundamentally unresolvable as a binary contract.Hero Tip:
Trade only on Polymarket for this event. Kalshi's market is structurally broken. Before trading Kalshi, demand clarification: does one outcome resolve to No? Is this a data entry error? Do not assume Kalshi will apply discretionary correction at settlement.Critical Divergence Points:
- Polymarket: Clean binary structure: NMSU win resolves to 'New Mexico State Aggies', Sam Houston win resolves to 'Sam Houston Bearkats'. Postponement keeps market open; cancellation splits 50-50. Fully resolvable.
- Kalshi: Defective binary: both Sam Houston win AND New Mexico State win resolve to Yes. No outcome maps to No. Logically impossible to resolve as a binary Yes/No contract.
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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