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: Sep 12, 4:24 PM EST
Kalshi
This prediction market asks whether either team (San Diego Padres or San Francisco Giants) will score a run in the first inning of their scheduled baseball game. The market resolves to 'Yes' if a run is scored by either team, and otherwise resolves to 'No'.
If either team scores a run in the first inning of the San Diego vs San Francisco professional baseball game originally scheduled for Sep 12, 2026 at 4:05 PM EDT, then the market resolves to Yes.
In the upcoming MLB game between the San Diego Padres and San Francisco Giants, scheduled for September 12 at 4:05PM ET: This market will resolve to "San Diego Padres" if the San Diego Padres win the game. This market will resolve to "San Francisco Giants" if the San Francisco Giants 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.
Differences in prices between Kalshi and Predict for this market can stem from several factors. Each platform has its own user base, with varying levels of expertise and information. Trading volume also differs; Kalshi may have more activity on this specific market than Predict. 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. Furthermore, the platforms employ slightly different market-making algorithms and fee structures, which can influence price discovery. These factors contribute to a dynamic where the perceived probability of a first-inning run may be assessed differently by traders on each venue, resulting in price discrepancies.
Several signals could significantly impact this market. Any news regarding the starting pitchers – injuries, changes in form, or historical performance against the opposing team – would be influential. Lineup announcements are also crucial, as strong hitters in the leadoff spot increase the probability of an early run. Weather conditions, particularly wind direction and temperature, can also play a role. Finally, late-breaking news regarding player availability or any unforeseen circumstances could cause substantial shifts in the market price as traders adjust their assessments.