TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 14, 11:21 PM EST
Polymarket
This group forecasts which team, if any, will be leading at halftime in a Major League Soccer (MLS) match between CF Montréal and Atlanta United FC. Markets exist for a CF Montréal lead, an Atlanta United FC lead, or a draw.
In the upcoming MLS game between CF Montréal and Atlanta United FC, scheduled for October 14, 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 Atlanta United FC, scheduled for October 14, 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.
Prices for this market may vary between Polymarket and Predict due to several factors. Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading dynamics, and fee structures, which can influence price discovery. Additionally, differing liquidity on each platform can create temporary discrepancies. For example, a large trade on Polymarket might shift the price there without immediately affecting Predict. These differences are normal and reflect the independent operation of each market, providing diverse perspectives on the likely halftime result.
Several signals could significantly move this market before it resolves. Any news regarding key player injuries or suspensions for either CF Montréal or Atlanta United FC would likely impact the odds. Changes in weather conditions, particularly if they favor one team’s playing style, could also be a catalyst. Furthermore, in-game events during the first half, such as a red card or an early goal, would immediately shift the probabilities. Monitoring team lineups and pre-game analysis will be crucial for understanding potential movements in this market.