TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 1, 4:44 PM EST
Kalshi
This market tracks which team will win the MLB game between the Detroit Tigers and New York Yankees scheduled for July 1, 2026 at 1:35 PM EDT. Across Kalshi and Predict, the aggregated consensus shows 99.0% probability for Detroit to win. The resolution source is the official outcome of the professional baseball game on the scheduled date. Watch for any roster changes, weather updates, or injury reports in the days leading up to the 1:35 PM EDT first pitch on July 1, 2026.
This event covers the Detroit vs New York Yankees professional baseball game originally scheduled for July 1, 2026 at 1:35 PM EDT. The market resolves Yes for whichever team wins the game. 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 Detroit Tigers and New York Yankees, scheduled for July 1 at 1:35PM ET: This market will resolve to "Detroit Tigers" if the Detroit Tigers 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.
Kalshi and Predict attract different trader demographics, liquidity pools, and fee structures, all of which influence price discovery. 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. Regulatory frameworks, contract design, and order-flow timing also play a role; one platform may see larger volume spikes or attract more sophisticated participants in a given window. Tracking both venues lets you spot arbitrage opportunities and understand which platform's pricing reflects fresher information or deeper conviction from its user base.
Key catalysts include injury reports, lineup announcements, recent team performance trends, and head-to-head historical matchups. Weather conditions, travel schedules, and rest days can also influence trader positioning. Major news—such as a star player's status change or a coaching decision—typically triggers sharp repricing across both platforms. Monitor sports media and team social channels for updates; even minor roster moves or public statements can shift odds meaningfully as traders reassess win probability and adjust their positions accordingly.