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%
Capitals vs. Flyers
Volume:
$2,054,111
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a single NHL game between the Washington Capitals and Philadelphia Flyers scheduled for March 11, 2026 at 7:30 PM ET. Markets span moneyline (winner), over/under totals at multiple thresholds (4.5, 5.5, 6.5, 7.5 goals), and point spreads (-1.5 for each team).
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains a logical contradiction where both mutually exclusive outcomes (Capitals win and Flyers win) are specified to resolve to "Yes", making the market fundamentally unresolvable. Polymarket moneyline uses correct binary logic.Hero Tip:
Disregard Kalshi moneyline entirely. Trade only Polymarket moneyline. All totals and spreads are logically sound and consistent: use final score including overtime and shootouts (shootout winner receives +1 goal credit for scoring thresholds).Critical Divergence Points:
- Kalshi: Moneyline market states: 'If WSH Capitals wins...resolves to Yes' AND 'If PHI Flyers wins...resolves to Yes'. Both outcomes cannot occur simultaneously, creating logical impossibility.
- Polymarket: Moneyline market states: 'If Capitals win, resolve to Capitals. If Flyers win, resolve to Flyers.' Mutually exclusive and logically sound.
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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