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%
Loyola Marymount Lions vs. San Diego Toreros
Volume:
$241,340
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A college basketball game between Loyola Marymount Lions and San Diego Toreros scheduled for February 21, 2026 at 6:00 PM ET. Multiple prediction markets track the moneyline winner, point spread, and total points scored across Polymarket and Kalshi platforms.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market structure is fundamentally unresolvable as written - it resolves Yes for both possible outcomes (either team winning), eliminating any predictive differentiation. This represents either a critical data integrity failure or a scope mismatch where Kalshi is tracking game completion rather than outcome.Hero Tip:
Do not trade the Kalshi market as described without clarification. Request confirmation from Kalshi that the market terms are accurate. If accurate, the market is not a competitive prediction but rather a binary confirmation of game occurrence. Focus trading activity on Polymarket's well-defined moneyline, spread, and total markets which have clear, mutually exclusive outcomes.Critical Divergence Points:
- Polymarket: Three distinct markets with mutually exclusive outcomes: (1) Moneyline resolves to Lions or Toreros based on winner; (2) Spread resolves to Lions if they win by 3+ points, otherwise Toreros; (3) Totals resolve Over/Under based on combined score thresholds (151 or 150 depending on market). All include postponement hold and 50-50 cancellation logic.
- Kalshi: Single market resolves to Yes if San Diego wins OR if Loyola Marymount wins. No No outcome is defined. This creates a logical impossibility where the market cannot differentiate between outcomes.
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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