TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 9:30 PM EST
Predict
In the upcoming MLS game between New York Red Bulls and San Diego FC, scheduled for October 10, 2026 at 7:30 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
In the upcoming MLS game between New York Red Bulls and San Diego FC, scheduled for October 10, 2026 at 7:30 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
Generally, prediction market odds tend to reflect the collective wisdom of a diverse group of forecasters, often proving more accurate than traditional sportsbook odds, especially as the event approaches. Sportsbooks often incorporate a 'vig' or commission into their odds, while this market allows traders to directly assess probabilities. However, initial sportsbook lines may differ from those seen here, particularly before significant trading volume occurs. It’s common to see this market converge with sportsbook odds as more information becomes available and the event draws nearer, though discrepancies can still arise due to differing opinions and risk assessments.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official halftime result as declared by the governing soccer league. The outcome will be determined by which team is leading, or if the game is tied, at the end of the first half of the New York Red Bulls versus San Diego FC match. Any potential delays or postponements of the match may affect the resolution timeline, but the outcome will always be based on the official halftime score.
Several factors could influence the trading activity in this market. Any news regarding player injuries or suspensions for either the Red Bulls or San Diego FC would likely cause shifts in the odds. Changes in team form, recent match results, or tactical adjustments announced by the coaches could also impact trader sentiment. Unexpected weather conditions on game day might also play a role, as could significant pre-match analysis from sports commentators and experts. Overall, any information that alters the perceived probability of each halftime outcome has the potential to move this market.