TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 16, 7:30 PM EST
Polymarket
In the upcoming MLS game between CF Montréal and Toronto FC, scheduled for July 16, 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 CF Montréal and Toronto FC, scheduled for July 16, 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.
Prediction market odds and sportsbook odds often diverge because they reflect different incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven purely by trader belief and financial risk. Sportsbooks may adjust lines based on sharp money or liability concerns, whereas this market reprices continuously as new information emerges. For halftime outcomes, prediction markets can sometimes react faster to team news or weather changes, though both venues ultimately converge toward the true probability as the event approaches.
This market resolves around Jul 16, 2026, once the halftime whistle has sounded and the score is official. The outcome is determined by which team is ahead on the scoreboard at that moment. Resolution is confirmed once the result is verifiable from credible public reporting of the match. Early resolution may occur if the match is abandoned or postponed beyond the resolution window, though standard MLS fixtures proceed as scheduled.
Several factors can shift odds before halftime. Team news—such as late-breaking injuries, lineup changes, or tactical adjustments—often triggers sharp repricing. Weather conditions at kickoff, including wind or rain that affects play style, can influence trader positioning. Early match momentum, possession patterns, and scoring chances during the opening minutes typically drive the largest price movements as traders update their models with live data. Additionally, historical head-to-head form and recent league performance may prompt adjustments if new analysis surfaces in the hours before the match.