TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Total Corners: O/U 7.5
- Polymarket
Total Corners: O/U 7.5 - Polymarket
1W
News
Positive
Negative
Neutral
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Vol.
·
Resolves Nov 7, 2026
Time left: 04d:21h:24m
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Total corners markets for the MLS game between Philadelphia Union and Toronto FC, scheduled for November 7, 2026 at 4:00 PM ET.
Total corners markets for the MLS game between Philadelphia Union and Toronto FC, scheduled for November 7, 2026 at 4:00 PM ET.
Typically, prediction market odds reflect the wisdom of the crowd, often incorporating information and analysis not immediately captured by traditional sportsbooks. While sportsbooks set initial lines based on statistical models and expert opinions, this market allows anyone to trade on their own assessment of the game. As a result, you may find that prediction market prices differ from sportsbook odds, particularly as new information becomes available or public sentiment shifts. It's common to see prediction markets more accurately reflect true probabilities, especially closer to the event.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing different outcomes – in this case, various total corner counts for the match. The price of each share directly corresponds to the implied probability of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more shares bought for a particular outcome, the higher its price rises, and vice-versa. This dynamic pricing ensures that the market reflects the collective beliefs of all participants regarding the likely number of corners in the Philadelphia Union versus Toronto FC game.
This market resolves around Nov 7, 2026, with the outcome confirmed once the final corner count from the Philadelphia Union versus Toronto FC match is verifiable from credible public reporting. The official match statistics, as published by a recognized sports data provider, will serve as the definitive source for determining the total number of corners taken during the game. The market will then settle to reflect the outcome that corresponds to the actual corner total, rewarding those who accurately predicted the result.
Several factors could influence trading activity in this market leading up to the match. Late-breaking news regarding key player injuries for either the Union or Toronto FC could significantly shift expectations. Changes in weather conditions, such as strong winds, might affect the style of play and potentially the number of corners awarded. Even pre-game analysis from soccer experts or tactical previews could sway traders’ opinions. Any significant information that alters the perceived likelihood of a high or low corner count will likely cause movement in this market.