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 26, 10:41 PM EST
Kalshi
This market tracks the probability of Nashville SC winning their professional MLS soccer game against Toronto FC on September 26, 2026, after 90 minutes plus stoppage time. Currently, the aggregated probability of Nashville SC winning is 95.5%. This consensus view combines data from Kalshi, Polymarket, and Predict, and will resolve based on the outcome of the game as defined by whether Toronto wins after 90 minutes plus stoppage time. Keep an eye on the game itself, scheduled for September 26, 2026, as the result will determine market resolution.
This event is for the upcoming MLS game, scheduled for Saturday, September 26, 2026 between Nashville SC and Toronto FC.
The markets resolve based on the result of the Nashville vs Toronto professional MLS soccer match originally scheduled for September 26, 2026, after 90 minutes plus stoppage time, excluding extra time or penalty kicks. A 'Yes' outcome for either Nashville or Toronto occurs if that respective team wins the match within regular time. If the match ends in a tie after regular time, the 'Tie' market resolves to 'Yes.' Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform rules.
This event is for the upcoming MLS game, scheduled for Saturday, September 26, 2026 between Nashville SC and Toronto FC.
Several factors could influence the price of this market before resolution. Any significant news regarding player injuries, team form, or coaching changes could shift expectations. Unexpected weather conditions on match day might also impact the perceived likelihood of different outcomes. Major tactical adjustments announced by either team could also move the market. Furthermore, large trading volume from informed participants on either Polymarket or Kalshi could signal new information and cause prices to react quickly. Monitoring these signals is key to understanding potential shifts in the market’s probabilities.