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$279,496,801

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2,984,640,614

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$1,923,931,766

416,910

Markets across

40,107

events

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4,571

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5

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Olympique de Marseille vs. Toulouse FC - Total Corners
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What is the result of Olympique de Marseille vs. Toulouse FC?

Volume:
$10,784

1st Half Total Corners: O/U 3.5

 - Polymarket

1st Half Total Corners: O/U 3.5 - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 7:05 PM EST

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Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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1st Half Total Corners: O/U 3.5

View
100%
37%
Yes 100¢No 0¢
—
N/A
$56
N/A
N/A
N/A
Settled
Yes
polymarket

Toulouse FC Corners: O/U 2.5

100%
31%
Yes 100¢No 0¢
—
N/A
$51
N/A
N/A
N/A
Settled
Yes
polymarket

Total Corners: O/U 10.5

0%
34%
Yes 0¢No 100¢
—
N/A
$6,813
N/A
N/A
N/A
Settled
No
polymarket

Total Corners: O/U 9.5

0%
Yes 0¢No 100¢
—
N/A
$1,176
N/A
N/A
N/A
Settled
No
polymarket

Total Corners: O/U 7.5

0%
79%
Yes 0¢No 100¢
—
N/A
$1,163
N/A
N/A
N/A
Settled
No
polymarket

Toulouse FC Corners: O/U 3.5

0%
49%
Yes 0¢No 100¢
—
N/A
$469
N/A
N/A
N/A
Settled
No
polymarket

Total Corners: O/U 8.5

0%
58%
Yes 0¢No 100¢
—
N/A
$441
N/A
N/A
N/A
Settled
No
polymarket

Olympique de Marseille Corners: O/U 5.5

0%
47%
Yes 0¢No 100¢
—
N/A
$296
N/A
N/A
N/A
Settled
No
polymarket

1st Half Total Corners: O/U 4.5

0%
45%
Yes 0¢No 100¢
—
N/A
$207
N/A
N/A
N/A
Settled
No
polymarket

Olympique de Marseille Corners: O/U 4.5

0%
62%
Yes 0¢No 100¢
—
N/A
$80
N/A
N/A
N/A
Settled
No
polymarket

Toulouse FC Corners: O/U 4.5

0%
33%
Yes 0¢No 100¢
—
N/A
$33
N/A
N/A
N/A
Settled
No
polymarket

Total Corners: O/U 11.5

0%
25%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Total Corners: O/U 12.5

0%
17%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Total Corners: O/U 13.5

0%
10%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

1st Half Total Corners: O/U 5.5

0%
30%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

2nd Half Total Corners: O/U 3.5

0%
51%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

2nd Half Total Corners: O/U 4.5

0%
51%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

2nd Half Total Corners: O/U 5.5

0%
48%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Olympique de Marseille Corners: O/U 2.5

100%
13%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Olympique de Marseille Corners: O/U 3.5

100%
24%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Toulouse FC Corners: O/U 5.5

0%
20%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Total Corners: Odd or Even

100%
50%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Team to Take First Corner

100%
48%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 23

Description

Total corners markets for the Ligue 1 game between Olympique de Marseille and Toulouse FC, scheduled for November 1, 2026 at 2:45 PM ET.

Polymarket

Total corners markets for the Ligue 1 game between Olympique de Marseille and Toulouse FC, scheduled for November 1, 2026 at 2:45 PM ET.

Frequently asked questions

On Polymarket, the dashboard for the Marseille vs. Toulouse corners market displays the current odds, a price history chart showing how the market has traded over time, and the 24-hour trading volume. Currently, the total volume for this market is $10,784, with $10,716 traded in the last 24 hours. This allows traders to monitor the market's activity and assess the prevailing sentiment regarding the total number of corners in the upcoming match. The dashboard provides a real-time view of how participants are pricing the probability of different outcomes.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert analysis, incorporating a profit margin. This market, however, is driven by individuals trading based on their own research and insights. If a significant number of traders believe a sportsbook’s line is inaccurate, they can influence the price on Polymarket, potentially leading to a divergence. It’s common to see prediction markets more accurately forecast probabilities, especially as event time approaches and more information becomes available.

On Polymarket, this market is priced through a continuous trading mechanism where participants buy and sell shares representing different outcomes. The price of each share directly reflects the market's implied probability of that outcome occurring. As more traders buy shares in a particular outcome, its price increases, and the implied probability rises. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing ensures that the market reflects the collective intelligence of all participants, adjusting in real-time to new information and changing sentiment regarding the total corners in the Olympique de Marseille versus Toulouse FC match.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The total number of corners awarded during the match between Olympique de Marseille and Toulouse FC, as officially recorded by the league organizers, will determine the resolution. The final corner count will be sourced from official match data and used to determine which outcome, if any, corresponds to the actual result. Traders will then be able to claim their winnings based on the final outcome.

Several factors could influence trading activity in this market. Late-breaking news regarding key players for either Olympique de Marseille or Toulouse FC, such as injuries or suspensions, could significantly impact the expected number of attacking opportunities and, therefore, corners. Weather conditions on match day, particularly wind, can also affect the style of play and the likelihood of corners. Additionally, any tactical adjustments announced by either manager leading up to the match could shift expectations and move the market. Changes in public sentiment, reflected in social media or expert analysis, could also contribute to price fluctuations.