TOTAL VOLUME:

$61.8b

24H VOL:

$257,828,392

24H TRANSACTIONS:

600,069,390

OPEN INTEREST:

$1,354,664,501

579,454

Markets across

14,299

events

MATCHED EVENTS:

4,106

PLATFORM COVERAGE:

4

Polymarket:

50%

VS.

Kalshi:

50%

BETA
polymarket
kalshi

Clippers vs. Pelicans? Odds & Prediction Markets

Volume:
$7,495,074
PredictionHero
Clippers vs. Pelicans 0%
polymarket
New Orleans 100%
kalshi
Spread -2.5 100%
polymarket
Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Jun…020406080100

Closed: Mar 19, 11:00 PM EST

kalshi

Kalshi

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Description

In the upcoming NBA game, scheduled for March 19 at 8:00PM ET: If the Clippers win, the market will resolve to "Clippers". If the Pelicans win, the market will resolve to "Pelicans". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue:

Polymarket provides comprehensive, detailed resolution rules for 47 distinct markets covering moneyline, spreads, totals, player props, and halftime variants with explicit thresholds and edge-case handling. Kalshi provides only a single binary market that resolves YES if either team wins, with no threshold specification, scope definition, or edge-case rules, making it fundamentally unresolvable as stated and logically contradictory.

Hero Tip:

Do not trade Kalshi's market as written—it resolves YES regardless of outcome (both teams cannot simultaneously win). Polymarket markets are fully resolvable. If you hold Kalshi, seek clarification from the platform on whether the market should resolve YES only if New Orleans wins, or if it is a data entry error. Polymarket's 47 markets provide granular, actionable settlement criteria; Kalshi's single market does not.

Critical Divergence Points:

  • Polymarket:

    Aligned with itself across 47 distinct markets: Polymarket establishes explicit resolution thresholds, sources (official NBA box scores), scope (full game including overtime), and edge-case handling (postponement, cancellation, player inactivity). Example: 'This market will resolve to Yes if Kawhi Leonard scores more than 28.5 points during the game. This market will resolve to No if Kawhi Leonard scores 28.5 points or fewer during the game.' Moneyline resolves based on final score; spreads resolve based on margin; totals resolve based on combined points; player props resolve based on official NBA box score.
  • Kalshi:

    Outlier: Kalshi provides a single market with contradictory logic: 'If New Orleans wins the Los Angeles C at New Orleans professional basketball game originally scheduled for Mar 19, 2026, then the market resolves to Yes. If Los Angeles C wins the Los Angeles C at New Orleans professional basketball game originally scheduled for Mar 19, 2026, then the market resolves to Yes.' This resolves YES for all possible outcomes (both teams cannot win simultaneously), making the market logically unresolvable and fundamentally broken. No threshold, source, scope, or edge-case rules are provided.
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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PredictionHero © 2026 · v0.15.0PredictionHero provides aggregated market data and informational signals only. Nothing on this site constitutes financial, legal, or investment advice. Markets are volatile and speculative. Past performance does not guarantee future results. Always do your own research and consult qualified professionals before making decisions involving risk.