TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 14, 10:19 PM EST
Kalshi
This market tracks whether the Detroit Tigers versus Toronto Blue Jays baseball game will go to extra innings. Currently, the consensus probability that the game will go to extra innings is 100.0%. This forecast is an aggregation of views from Predict, Kalshi, and Polymarket, and will resolve based on the official results reported at https://www.mlb.com/. Be extremely cautious when interpreting this market, as there is a significant discrepancy in the game dates referenced across platforms – specifically, Kalshi’s market resolves to a game scheduled for September 14, 2026.
In the upcoming MLB game between the Detroit Tigers and Toronto Blue Jays, scheduled for September 15 at 7:07PM ET: This market will resolve to "Detroit Tigers" if the Detroit Tigers win the game. This market will resolve to "Toronto Blue Jays" if the Toronto Blue Jays 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.
The market resolves to Yes for the Detroit outcome if Detroit wins the specified game, and to Yes for the Toronto outcome if Toronto wins. If the game is postponed or delayed, the market stays open until the rescheduled game finishes within two days of the original date. If the game is cancelled or rescheduled beyond two days from the original date, the market resolves to a fair price as per the rules. Kalshi is not connected to the governing league, and all trademarks are property of their respective owners.
In the upcoming MLB game between the Detroit Tigers and Toronto Blue Jays, scheduled for September 14 at 7:07PM ET: This market will resolve to "Detroit Tigers" if the Detroit Tigers win the game. This market will resolve to "Toronto Blue Jays" if the Toronto Blue Jays 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 market odds, like those found for the Tigers-Blue Jays game, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks primarily aim to balance risk and profit margins, while prediction markets incentivize accurate forecasting. This market reflects the aggregated beliefs of informed traders, potentially incorporating unique data or insights not fully captured by sportsbooks. While both attempt to predict the same event, the mechanisms and participant motivations create distinct pricing dynamics. This can lead to opportunities for arbitrage or simply a more nuanced understanding of the likely outcome.
Polymarket 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. Price discrepancies between Polymarket and Predict on this market can arise from several factors. Each platform attracts a different user base with varying levels of expertise and access to information regarding the Tigers-Blue Jays game. Trading volume and liquidity also play a role; lower volume on one platform can lead to greater price volatility. Furthermore, the specific rules and fee structures of each platform can influence trading behavior and, consequently, the resulting odds. These differences contribute to a dynamic interplay between the two markets, offering diverse perspectives on the event’s potential outcome.