TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 28, 10:06 PM EST
Polymarket
In the upcoming MLS game between New York City FC and Atlanta United FC, scheduled for October 28, 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 City FC and Atlanta United FC, scheduled for October 28, 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.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and need to account for profit margins, while this market is driven purely by traders’ beliefs about the likelihood of each outcome. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously betting on both platforms. However, it’s important to note that sportsbooks and prediction markets each have their own strengths and weaknesses in forecasting event outcomes.
This market resolves around Oct 28, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the halftime result of the New York City FC versus Atlanta United FC match will be used to determine the winning share. The outcome will be based on the official result reported by a recognized sports data provider. Traders holding shares in the winning outcome will be entitled to a payout of 1 USDC per share, while shares in losing outcomes will be worth 0 USDC.
Several factors could influence the price of shares in this market before resolution. Any news regarding key player injuries or suspensions for either team would likely cause significant movement. Changes in team form, such as a recent winning or losing streak, could also shift trader sentiment. Unexpected weather conditions on match day, or even pre-match tactical announcements from the managers, could also impact the probabilities. Furthermore, large trading volume from influential traders could create short-term price fluctuations.