TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 26, 9:49 PM EST
Kalshi
The final baseball game of the evening features two teams competing fiercely for a win. The contest will test both teams' endurance and focus after a long season. Critical turns in the game could come from error-free defense, timely hits, or strong relief pitching appearances that change the game's trajectory.
Markets resolve to Yes if the specified team wins the Mexico LMB game originally scheduled for Jul 26, 2026 at 7:00 PM EDT. If the game is postponed or delayed, markets remain open and close after the rescheduled game finishes within two days. If the game is cancelled or rescheduled to over two days away, markets resolve to a fair price. Kalshi is not affiliated with the Governing League; all trademarks belong to their respective owners.
Prediction market odds in this market often differ from traditional sportsbook lines due to trader sentiment and market-specific dynamics. While sportsbooks may set their lines based on analytics and historical data, prediction markets let participants bet directly on their outlook. This can lead to tighter spreads or larger divergences, especially if new information emerges that shifts trader confidence.
This market resolves around Jul 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by the official game outcome, and the market will close accordingly, settling all positions based on the final score or winner as reported through trusted sports news and league announcements.
Injuries to key players, changes in coaching strategy, or weather conditions could shift trader sentiment and move this market. Additionally, strong recent performance by either team, media coverage, and betting trends may influence odds. Any last-minute updates right before the game are likely to cause the most significant swings in pricing as participants react to new information.