TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 26, 9:39 PM EST
Kalshi
This market tracks the outcome of the professional baseball game between the New York Yankees and Boston Red Sox scheduled for June 26, 2026 at 7:10 PM EDT. Aggregating data from Kalshi and Predict, the consensus probability for a New York Y victory stands at 97.0%. Resolution is determined by the official final result of the game as recorded by MLB. Watch for any schedule changes or postponements that could affect the June 26 game window.
Resolution is based on the final outcome of the New York Y vs Boston professional baseball game originally scheduled for June 26, 2026 at 7:10 PM EDT. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled to more than two days away, the market resolves to a fair price in accordance with the rules.
In the upcoming MLB game between the New York Yankees and Boston Red Sox, scheduled for June 26 at 7:10PM ET: This market will resolve to "New York Yankees" if the New York Yankees win the game. This market will resolve to "Boston Red Sox" if the Boston Red Sox 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.
Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different trader demographics, fee structures, and liquidity pools, which naturally creates price gaps. Kalshi and Predict may also have slightly different market mechanics, order-book depth, or promotional activity that influences how quickly prices converge. Regulatory frameworks and settlement rules can also vary subtly between venues. These differences typically narrow as arbitrageurs exploit spreads, but temporary divergence is normal and often signals where smart money is rotating.
Key roster updates, injury announcements, or recent team performance trends can shift odds significantly. Betting line movement at major sportsbooks often precedes prediction market repricing, so tracking those shifts provides an early signal. Weather conditions, home-field advantage factors, and head-to-head historical records also influence trader sentiment. Breaking news about player availability or coaching decisions in the final days before the matchup typically triggers sharp repricing. Monitor team social media, league press releases, and sports analytics outlets for catalysts that could move this market.