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 27, 1:10 AM EST
Polymarket
Player props for the MLS game between Austin FC and San Diego FC, scheduled for September 26, 2026 at 8:30 PM ET.
Player props for the MLS game between Austin FC and San Diego FC, scheduled for September 26, 2026 at 8:30 PM ET.
Often, prediction market odds reflect a different perspective than traditional sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds, ensuring profit regardless of the outcome, while this market allows traders to directly express their beliefs about the probability of each player prop occurring. This can lead to differences in implied probabilities, particularly when there is strong public sentiment or information asymmetry. It’s common to see this market move independently of sportsbook lines, especially as new information emerges or as the event draws closer.
On Polymarket, this market is priced through a continuous exchange where traders buy and sell shares representing their belief in the likelihood of each player prop. The price of a share directly corresponds to the implied probability of that outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust to reflect the collective wisdom of the crowd. This dynamic pricing mechanism allows the market to efficiently aggregate diverse opinions and forecasts regarding player performance in the Austin FC versus San Diego FC match.
This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official statistics recorded for the Austin FC versus San Diego FC match, specifically focusing on the individual player performance metrics associated with each prop. The official game statistics will be the definitive source for determining whether each prop resolves in the affirmative or negative, ensuring a transparent and objective outcome.
Several factors could influence trading activity in this market. Late-breaking news regarding player injuries or starting lineups would likely cause significant price movements. Changes in weather conditions, particularly if they impact playing style, could also shift trader sentiment. Additionally, any updates on team tactics or strategic adjustments announced by coaches could influence the perceived probability of certain player props. Even general shifts in public opinion, driven by expert analysis or social media discussions, can contribute to fluctuations in this market.