TOTAL VOLUME:

$154.7b

24H VOL:

$279,496,801

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,923,931,766

416,910

Markets across

40,107

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MATCHED EVENTS:

4,571

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Torino FC vs. AC Monza - Total Corners
predict

What is the result of Torino FC vs AC Monza?

Volume:
$1,344

Total Corners: O/U 8.5

 - Predict

Total Corners: O/U 8.5 - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 23, 2026

Closed: Oct 23, 4:45 PM EST

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Predict

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
predict

Total Corners: O/U 8.5

View
0%
Yes 0¢No 100¢
—
N/A
$581
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 9.5

0%
40%
Yes 0¢No 100¢
—
N/A
$356
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 7.5

0%
64%
Yes 0¢No 100¢
—
$13
$212
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 10.5

0%
Yes 0¢No 100¢
—
N/A
$195
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 11.5

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 12.5

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 13.5

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 7

Description

Total corners markets for the Serie A game between Torino FC and AC Monza, scheduled for October 23, 2026 at 2:45 PM ET.

Predict

Total corners markets for the Serie A game between Torino FC and AC Monza, scheduled for October 23, 2026 at 2:45 PM ET.

Frequently asked questions

On Predict, the dashboard for the Torino vs. Monza corners market provides a real-time view of how traders are pricing the likelihood of different outcomes for total corners in the match. You'll find the current odds, a price history chart showing how they've fluctuated, and the 24-hour trading volume, which is currently $1,339. The total volume traded on this market is $1,344. This allows you to assess market sentiment and potential trading opportunities as the event approaches.

Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by professional oddsmakers, while this market is driven by the collective predictions of many individuals. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Comparing the two can be a useful exercise for informed decision-making, though it’s important to remember they represent different approaches to forecasting the event's outcome.

On Predict, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, providing a real-time assessment of expectations for the total corners in the Torino FC versus AC Monza match. The current price indicates what the collective market believes is the most likely scenario.

This market resolves around Oct 23, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of total corners awarded during the Torino FC versus AC Monza match will be used to determine the winning outcome. This will be sourced from official match data and verified against credible public sources. Traders who correctly predicted the total corners will be eligible for payout based on the odds at the time of resolution.

Several factors could influence the price of this market. Late-breaking news regarding key players for either Torino FC or AC Monza – such as injuries or suspensions – could significantly shift expectations. Changes in weather conditions, particularly if they are expected to affect the style of play, might also impact the market. Even tactical adjustments announced by the managers before the match could cause price movements as traders react to perceived advantages or disadvantages. Public sentiment and betting patterns observed elsewhere could also play a role.