TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 7:03 PM EST
Polymarket
This prediction market asks for the exact final score of a Major League Soccer (MLS) match between Nashville SC and New York Red Bulls. Resolution depends on the score at the end of regulation time (90 minutes plus stoppage time), excluding extra time or penalty shootouts.
In the upcoming MLS game between Nashville SC and New York Red Bulls, scheduled for November 1, 2026 at 4:30 PM ET: This market will resolve based on the final score of the Nashville SC vs. New York Red Bulls match originally scheduled for November 1, 2026 at 4:30 PM ET, considering only the result at the end of 90 minutes of regulation plus stoppage time; extra time and penalty shoot-outs are excluded. If the actual score is not one of the explicitly listed outcomes, the market resolves to "Any Other Score." If the match is postponed, the market will remain open until it is completed; if it is canceled with no make-up game, the market resolves to "0-0." The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, data from Flashscore may be used; if Flashscore data is unavailable, data from Sofascore may be used; if neither is available, a consensus of credible reporting may be used instead. All markets will settle based on the official final result as recognized by the governing body or event organizers. Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome. If no acceptable data is available within 24 hours of the event's conclusion, this market will resolve 50-50, or to "Draw" where applicable.
In the upcoming MLS game between Nashville SC and New York Red Bulls, scheduled for November 1, 2026 at 4:30 PM ET: This market will resolve based on the final score of the Nashville SC vs. New York Red Bulls match originally scheduled for November 1, 2026 at 4:30 PM ET, considering only the result at the end of 90 minutes of regulation plus stoppage time; extra time and penalty shoot-outs are excluded. If the actual score is not one of the explicitly listed outcomes, the market resolves to "Any Other Score." If the match is postponed, the market will remain open until it is completed; if it is canceled with no make-up game, the market resolves to "0-0." The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, data from Flashscore may be used; if Flashscore data is unavailable, data from Sofascore may be used; if neither is available, a consensus of credible reporting may be used instead. All markets will settle based on the official final result as recognized by the governing body or event organizers. Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome. If no acceptable data is available within 24 hours of the event's conclusion, this market will resolve 50-50, or to "Draw" where applicable.
Prediction market odds, like those found in this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow individuals to freely express their beliefs. This can lead to discrepancies, particularly when public sentiment strongly deviates from expert analysis. While sportsbooks incorporate a 'vig' or commission, prediction markets generally have lower transaction costs, potentially resulting in more competitive pricing. Examining both sources can provide a more comprehensive understanding of the likely outcome.