TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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FC Barcelona vs. Deportivo Alavés - Total Corners
predict

What is the result of FC Barcelona vs. Deportivo Alavés?

Volume:
$1,908

Total Corners: O/U 10.5

 - Predict

Total Corners: O/U 10.5 - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 6:00 PM EST

predict

Predict

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

Total Corners: O/U 10.5

View
0%
Yes 0¢No 100¢
—
$200
$1,213
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 11.5

0%
42%
Yes 0¢No 100¢
—
$798
$531
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 7.5

0%
Yes 0¢No 100¢
—
$200
$101
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 9.5

0%
Yes 0¢No 100¢
—
$797
$63
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 8.5

N/A
N/A
—
$797
N/A
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 12.5

N/A
N/A
—
$200
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 La Liga game between FC Barcelona and Deportivo Alavés, scheduled for October 31, 2026 at 4:00 PM ET.

Predict

Total corners markets for the La Liga game between FC Barcelona and Deportivo Alavés, scheduled for October 31, 2026 at 4:00 PM ET.

Frequently asked questions

On Predict, the dashboard for the Barcelona vs. Alavés corners market displays the current implied probabilities for various corner totals, along with a price history chart showing how those probabilities have shifted over time. You can also see the 24-hour trading volume, which currently stands at $1,824, and the total volume traded to date, totaling $1,908. This provides a clear picture of market activity and where traders are focusing their attention for this specific match. The dashboard is updated in real-time, reflecting the latest predictions.

Typically, prediction market odds tend to reflect the wisdom of the crowd, often differing from initial sportsbook offerings. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe a particular outcome is more likely than implied by sportsbook odds, the price will adjust accordingly. It’s common to see discrepancies, especially early on, as the market incorporates new information and diverse perspectives. This can provide an edge for informed traders.

On Predict, this market is priced through a continuous order book where traders can buy and sell contracts representing different corner totals. The price of each contract fluctuates based on supply and demand. When more people want to buy a contract (betting on a specific outcome), the price increases, and vice versa. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a market-making algorithm to ensure there's always a bid and ask price, allowing for continuous trading and price discovery. This dynamic pricing mechanism aims to reflect the collective intelligence of all participants.

This market resolves around Oct 31, 2026, with the outcome confirmed once the official number of total corners taken during the FC Barcelona vs. Deportivo Alavés match is verifiable from credible public reporting. The official match statistics, as reported by a recognized sports data provider, will be used to determine the winning contract. The resolution process is automated and transparent, ensuring a fair and accurate outcome for all traders. Any disputes will be handled according to the platform’s standard procedures.

Several factors could influence the price of this market. Late-breaking news regarding key player injuries for either Barcelona or Alavés would likely have a significant impact, as would any changes in weather conditions that might affect the style of play. Tactical formations announced shortly before kickoff could also shift expectations. Additionally, any public statements from team managers about their approach to the game, particularly concerning attacking intent, could move the market. Finally, general shifts in public sentiment, even those unrelated to specific game details, can influence trading activity.