TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 12:30 AM EST
Predict
More markets for the MLS game, scheduled for October 17 at 10:30 PM ET.
More markets for the MLS game, scheduled for October 17 at 10:30 PM ET.
Often, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks set lines to balance their action and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to be accurate. If a significant discrepancy exists between the two, it could signal an opportunity for value betting – where the prediction market believes the probability of an outcome is higher or lower than the sportsbook implies. However, it's important to remember that both represent probabilities based on different methodologies.
On Predict, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more people buy contracts predicting a specific result, the price increases, and the implied probability rises. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing allows the market to quickly incorporate new information and adjust its predictions based on the latest developments surrounding the LA Galaxy vs. San Diego FC match.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the LA Galaxy vs. San Diego FC match, including any potential overtime or tie-breaking procedures as defined by the league. The platform will verify the final score against trusted sources to determine which outcome corresponds to the winning contracts, and payouts will be distributed accordingly to contract holders.
Several factors could significantly influence this market before the match concludes. Major news regarding player injuries, suspensions, or changes in team tactics would likely cause shifts in the odds. Unexpected weather conditions, particularly if they favor one team’s playing style, could also be a catalyst. Even public sentiment, as reflected in social media or expert analysis, can impact trading activity and move the market. Any late-breaking developments related to team morale or coaching decisions could also play a role in how this market evolves.