TOTAL VOLUME:
$134.2b
24H VOL:
$143,246,370
24H TRANSACTIONS:
2,403,290,006
OPEN INTEREST:
$1,452,035,386
405,032
Markets across
30,543
events
MATCHED EVENTS:
2,690
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 10:06 PM EST
Polymarket
In the upcoming MLS game between Toronto FC and Chicago Fire FC, scheduled for September 5, 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 Toronto FC and Chicago Fire FC, scheduled for September 5, 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.
Compared to traditional sportsbook odds, prediction market odds for this market often reflect a more nuanced view shaped by active traders rather than set lines. While sportsbooks may publish fixed odds based on broader analytics, this market allows participants to adjust positions dynamically as new information emerges — such as player injuries or weather updates — which can cause rapid shifts in pricing that aren't always mirrored in standard sports betting lines.
On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, traders set the price through their own buying and selling activity, which determines the current implied probability for each possible halftime result. The leading outcome typically shows a higher chance reflecting recent trading patterns, while less likely scenarios adjust accordingly. This decentralized pricing mechanism means the market price can change quickly in response to new developments or shifts in trader sentiment ahead of the match.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by the official halftime score of the match, which is compared against the market's listed outcomes to settle all positions. No additional interpretation is needed beyond confirming the accurate and publicly available match data at that specific interval.
Key signals such as starting lineups, weather conditions, or early-game momentum can significantly affect this market. Injuries to star players or tactical decisions by coaches may shift trader expectations about which team will hold an advantage by halftime. Additionally, any last-minute news — such as roster changes or referee announcements — might cause rapid price adjustments as participants reassess their positions ahead of the match.