TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 27, 1:04 AM EST
Polymarket
Player props for the MLS game between San Jose Earthquakes and Portland Timbers, scheduled for September 26, 2026 at 10:30 PM ET.
Player props for the MLS game between San Jose Earthquakes and Portland Timbers, scheduled for September 26, 2026 at 10:30 PM ET.
On Polymarket, this market is priced through a continuous trading mechanism where users buy and sell shares representing their belief in the probability of each player prop outcome. As more shares are purchased for a particular outcome, its price increases, reflecting a higher implied probability. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share directly corresponds to the perceived likelihood of that outcome occurring, and traders aim to profit by accurately predicting player performance. The current volume and price action indicate the collective assessment of market participants regarding the Earthquakes versus Timbers player props.
This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on official statistics from the San Jose Earthquakes versus Portland Timbers match, specifically focusing on the player statistics related to the props offered in this market. These statistics will be sourced from official league data and verified to ensure accuracy. The outcome will be determined by whether a player achieved the specified prop, such as scoring a goal or reaching a certain number of shots on target.
Several factors could influence the odds in this market before resolution. Any news regarding player injuries or suspensions for key players on either the Earthquakes or Timbers would likely cause significant shifts. Changes in team formations or tactical approaches could also impact expectations for individual player performance. Furthermore, late-breaking news about weather conditions or pitch quality could affect the game and, consequently, the market. Finally, significant betting activity – a large influx of volume on a particular player prop – could also move the odds on Polymarket.