TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 8, 1:35 PM EST
Polymarket
This market tracks whether the Detroit Tigers versus New York Yankees game will extend into extra innings. Across Kalshi, Predict, and Polymarket, the aggregated consensus shows 100.0% probability for this outcome, based on data from MLB.com. Note that a Resolution Divergence Alert is active due to scheduled game time mismatches across platforms—review the RDA panel below for settlement rule differences before trading. Watch for the actual game start time confirmation as the July 8, 2026 resolution window approaches, as platform discrepancies on game scheduling may affect final settlement.
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.
Each market resolves based on the outcome of the Detroit vs New York Y professional baseball game originally scheduled for June 29, 2026 at 7:05 PM EDT. If the game is postponed or delayed, the corresponding market remains open and closes after the rescheduled game concludes, provided the reschedule occurs within two days of the original date. If the game is cancelled entirely or rescheduled to more than two days after the original date, the market will resolve to a fair price in accordance with standard resolution procedures.
In the upcoming MLB game between the Detroit Tigers and New York Yankees, scheduled for June 29 at 7:05PM 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.
Prediction markets and traditional sportsbooks price games differently because they operate under distinct incentive structures. Sportsbooks set odds to balance action and lock in profit margins, while prediction markets rely on trader consensus to discover true probability. This market's odds reflect what thousands of informed traders believe will happen, often incorporating faster information flow than sportsbooks update. Comparing this market's implied probability to major sportsbook lines can reveal value opportunities. Both sources matter: sportsbooks offer liquidity and tight spreads, while prediction markets reward accurate forecasting without the house edge.
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. Each platform attracts different trader demographics, fee structures, and liquidity depths, causing temporary price gaps. Polymarket and Kalshi may weight recent news or injury updates at different speeds, and their user bases may hold distinct risk appetites. Arbitrage traders typically exploit these spreads, but friction costs and settlement risk prevent perfect alignment. Monitoring both platforms reveals which outcome has stronger conviction across the broader prediction market ecosystem. These differences often narrow as the event approaches and information becomes more uniform.
Key catalysts include injury announcements to star players, bullpen or lineup changes, and recent team performance trends heading into game day. Weather forecasts—especially wind and temperature—can shift pitching matchup expectations and scoring projections. Betting line movement at major sportsbooks often precedes prediction market shifts, so tracking those changes provides early warning. Team momentum, travel schedules, and rest days also influence trader sentiment. Breaking news on player health or roster decisions typically triggers sharp repricing, so staying alert to official team communications helps you anticipate market moves before they happen.