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 26, 12:10 AM EST
Kalshi
This market tracks the outcome of the Los Angeles Dodgers versus San Francisco Giants baseball game. Currently, the consensus probability of the Los Angeles Dodgers vs. San Francisco Giants winning is 100.0%, as aggregated from Polymarket, Predict, and Kalshi. Resolution will be based on the official results reported by https://www.mlb.com/. However, traders should be aware of a significant date discrepancy, as Kalshi markets currently resolve to the game scheduled for September 25, 2026, while Polymarket and Predict resolve to the September 25, 2023 game – be extremely cautious when trading Kalshi markets.
In the upcoming MLB game between the Los Angeles Dodgers and San Francisco Giants, scheduled for September 25 at 10:15PM ET: This market will resolve to "Los Angeles Dodgers" if the Los Angeles Dodgers 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.
If Los Angeles D wins the Los Angeles D vs San Francisco professional baseball game originally scheduled for Sep 25, 2026 at 10:15 PM EDT, then the market resolves to Yes. If San Francisco wins the Los Angeles D vs San Francisco professional baseball game originally scheduled for Sep 25, 2026 at 10:15 PM EDT, then the market resolves to Yes.
In the upcoming MLB game between the Los Angeles Dodgers and San Francisco Giants, scheduled for September 25 at 10:15PM ET: This market will resolve to "Los Angeles Dodgers" if the Los Angeles Dodgers 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.
Prediction market odds often differ from traditional sportsbook odds due to the different incentives and information sources involved. Sportsbooks set lines to balance action and ensure profit, while prediction markets reflect the aggregate beliefs of informed traders. This can lead to prediction markets being more accurate, especially when significant information isn't yet widely reflected in sportsbook lines. However, sportsbooks often have lower transaction costs and wider accessibility. For this market, it’s important to compare the implied probabilities across both types of platforms to identify potential discrepancies and opportunities.
Prices on Polymarket and Predict for this market can diverge due to several factors. 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. Each platform attracts a different user base with varying risk tolerances and information access, leading to differing opinions on probabilities. Trading fees and platform-specific rules also influence price discovery. Furthermore, liquidity can vary significantly between the two venues; lower volume on one platform can result in greater price volatility. While both platforms are tracking the same event, these nuances in their ecosystems can cause discrepancies in how this market is priced. These differences are normal and reflect the dynamic nature of prediction markets.