TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

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40,411

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MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

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37%

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Kalshi:

63%

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Udinese Calcio vs. AS Roma - Total Corners
predict

What is the result of Udinese Calcio vs. AS Roma?

Volume:
$714

Total Corners: O/U 9.5

 - Predict

Total Corners: O/U 9.5 - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 3:00 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 9.5

View
100%
Yes 100¢No 0¢
—
N/A
$368
N/A
N/A
N/A
Settled
Yes
predict

Total Corners: O/U 10.5

100%
Yes 100¢No 0¢
—
N/A
$341
N/A
N/A
N/A
Settled
Yes
predict

Total Corners: O/U 8.5

100%
Yes 100¢No 0¢
—
N/A
$5
N/A
N/A
N/A
Settled
Yes
predict

Total Corners: O/U 7.5

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
predict

Total Corners: O/U 11.5

N/A
N/A
—
$200
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
—
$200
N/A
N/A
N/A
N/A
Settled
No
Total markets: 7

Description

Total corners markets for the Serie A game between Udinese Calcio and AS Roma, scheduled for October 31, 2026 at 1:00 PM ET.

Predict

Total corners markets for the Serie A game between Udinese Calcio and AS Roma, scheduled for October 31, 2026 at 1:00 PM ET.

Frequently asked questions

On Predict, the dashboard for the Udinese vs. Roma corners market displays the current odds, a price history chart showing how those odds have changed over time, and the 24-hour trading volume. Currently, the total volume for this market is $714, with $714 traded in the last 24 hours. This allows traders to quickly assess market sentiment and identify potential opportunities. The dashboard provides a real-time view of how participants are pricing the likelihood of different outcomes for total corners in the match.

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 analysts who may have inherent biases or limitations in their models. This market, however, aggregates the opinions of many individual traders, leading to a more diverse and potentially more accurate assessment of the probability of various outcomes. While sportsbooks may initially set the line based on team statistics and expert opinions, the prediction market can dynamically adjust as new information and sentiment emerge.

On Predict, this market is priced through a continuous exchange where traders buy and sell contracts representing different outcomes. The price of each contract reflects the collective belief of the traders regarding the probability of that outcome occurring. As more traders participate and place bets, the prices adjust to reflect the changing sentiment. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if many traders believe a particular outcome is likely, they will buy contracts, driving up the price, and vice versa. This creates a dynamic and efficient pricing mechanism.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of total corners taken during the Udinese Calcio vs. AS Roma match will be used to determine the winning outcome. The official match statistics, as reported by a recognized sports data provider, will serve as the source of truth for resolving this market. Traders will be able to view the resolution details on Predict once the outcome is officially confirmed.

Several factors could influence the price of this market leading up to the match. Any news regarding key player injuries or suspensions for either Udinese or Roma could significantly impact expectations about the game's flow and tactical approach, potentially affecting the number of corners. Changes in weather conditions, such as strong winds, could also play a role. Additionally, pre-match analysis from reputable sports commentators and any shifts in public sentiment could all contribute to price movements in this market.