TOTAL VOLUME:
$97.3b
24H VOL:
$229,738,843
24H TRANSACTIONS:
950,106,883
OPEN INTEREST:
$2,105,337,230
828,141
Markets across
14,990
events
MATCHED EVENTS:
943
PLATFORM COVERAGE:
5
Polymarket:
45%
VS.
Kalshi:
55%
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This market tracks the total runs scored in the Boston Red Sox versus New York Yankees matchup, with an 83.0% consensus probability that the game goes over 5.5 runs combined. The aggregated forecast draws data from Kalshi, Predict, and Polymarket, with resolution determined by official MLB final statistics. Watch for the game scheduled June 6, 2026 at 7:35 PM ET, as first-inning scoring patterns and bullpen availability leading into that date will be key indicators of total run expectations.
In the upcoming MLB game between the Boston Red Sox and New York Yankees, scheduled for June 6 at 7:35PM ET: This market will resolve to "Boston Red Sox" if the Boston Red Sox win the game. This market will resolve to "New York Yankees" if the New York Yankees win the game. 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, or ends in a tie, this market will resolve 50-50. The primary resolution source for this market is the official final statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 24 hours after the event's conclusion, a consensus of credible reporting may be used instead.
In the upcoming MLB game between the Boston Red Sox and New York Yankees, scheduled for June 6 at 7:35PM ET: This market will resolve to "Boston Red Sox" if the Boston Red Sox win the game. This market will resolve to "New York Yankees" if the New York Yankees win the game. 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, or ends in a tie, this market will resolve 50-50. The primary resolution source for this market is the official final statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 24 hours after the event's conclusion, a consensus of credible reporting may be used instead.
Prediction markets like Polymarket and Kalshi operate independently from traditional sportsbooks, often reflecting different participant bases and incentive structures. Sportsbooks set odds to balance action and lock in profit margins, while prediction markets aggregate decentralized trader beliefs in real time. For the Boston Red Sox vs. New York Yankees, prediction market odds may diverge from sportsbook lines due to different liquidity levels, trading hours, and market efficiency. Comparing both sources can reveal value opportunities and highlight where informed traders are positioning relative to Vegas consensus.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Price differences between Polymarket and Kalshi stem from distinct user bases, fee structures, and market depth. Polymarket may attract different trader demographics or have higher liquidity in certain outcomes, pushing prices apart. Timing lags, platform-specific news interpretation, and varying levels of market participation can cause temporary arbitrage windows. Additionally, each platform's order book depth and slippage tolerance influence how quickly prices converge. Monitoring both venues for the Boston Red Sox vs. New York Yankees helps traders identify mispricings and execute cross-platform strategies.
Key catalysts for the Boston Red Sox vs. New York Yankees market include injury announcements to star players, lineup changes, recent team performance trends, and head-to-head historical matchups. Weather conditions on game day, bullpen availability, and momentum shifts in either team's season can shift trader sentiment significantly. Breaking news about roster moves, managerial decisions, or off-field developments may trigger sharp repricing. Monitor sports news feeds and team social media closely, as even minor updates can move prediction market odds as traders rapidly reassess win probabilities and adjust positions accordingly.
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