TOTAL VOLUME:
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24H VOL:
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OPEN INTEREST:
$1,434,646,834
406,019
Markets across
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MATCHED EVENTS:
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PLATFORM COVERAGE:
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Polymarket:
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VS.
Kalshi:
61%
Closed: Jun 28, 10:39 PM EST
Kalshi
Cody Bellinger's home run production in the New York Yankees vs Boston Red Sox game on June 28, 2026 will be tracked. The market evaluates whether he hits 1 or more home runs, or 2 or more home runs.
If Cody Bellinger records 1+ home runs in New York Y vs Boston professional baseball game originally scheduled for Jun 28, 2026 at 7:20 PM EDT, then the market resolves to Yes. If Cody Bellinger records 2+ home runs in New York Y vs Boston professional baseball game originally scheduled for Jun 28, 2026 at 7:20 PM EDT, then the market resolves to Yes.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margins, while prediction markets like this one are driven by traders seeking profit through accurate forecasting. Prediction markets tend to aggregate dispersed information efficiently, sometimes pricing outcomes differently than traditional sportsbooks. Comparing this market's odds to major sportsbook lines can reveal where bettors and traders disagree, potentially signaling value or consensus shifts in how the home run outcome is perceived.
This market resolves around Jun 29, 2026, once the game concludes and the home run result is verifiable from credible public sources. The outcome will be determined by the actual number of home runs hit during the New York versus Boston matchup, confirmed through official game records and reputable sports reporting. No further trading occurs after the event concludes and the final result is locked in. Resolution typically follows within hours of game completion, at which point winning positions are credited and the market closes.
Several factors could shift odds before resolution. Lineup announcements, injuries to key players, or weather forecasts affecting ball carry distance may influence trader expectations. Recent performance trends, ballpark conditions, and pitcher matchups are common catalysts. Breaking news about player availability or team strategy can trigger rapid repricing. As game time approaches, historical betting patterns and late-breaking information often drive volatility. Traders monitoring injury reports, weather updates, and team news will likely adjust positions accordingly, making the final hours before first pitch a period of active price discovery.