TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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AC Milan vs. Bologna FC 1909 - Total Corners
predict

What is the result of AC Milan vs. Bologna FC 1909?

Volume:
$572

Total Corners: O/U 7.5

 - Predict

Total Corners: O/U 7.5 - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 28, 2026

Closed: Oct 28, 3:30 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 7.5

View
0%
Yes 0¢No 100¢
—
N/A
$359
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 9.5

0%
Yes 0¢No 100¢
—
N/A
$141
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 8.5

0%
Yes 0¢No 100¢
—
N/A
$54
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 10.5

0%
Yes 0¢No 100¢
—
N/A
$18
N/A
N/A
N/A
Settled
No
predict

Total Corners: O/U 11.5

N/A
N/A
—
$1
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 AC Milan and Bologna FC 1909, scheduled for October 28, 2026 at 1:30 PM ET.

Predict

Total corners markets for the Serie A game between AC Milan and Bologna FC 1909, scheduled for October 28, 2026 at 1:30 PM ET.

Frequently asked questions

On Predict, the dashboard for the AC Milan corners market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different corner totals has shifted over time. Currently, the total volume for this market is $572, with $572 traded in the last 24 hours. This provides a view of how actively traders are engaging with this particular event and their collective expectations for the number of corners in the match.

Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the views of many individual traders. It's common to see differences emerge, especially as new information becomes available or public sentiment shifts. Comparing the two can be a useful exercise for informed decision-making, but it’s important to remember they represent distinct approaches to forecasting the outcome.

On Predict, this market is priced through a continuous order book where traders buy and sell contracts representing different corner totals. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of traders regarding the likelihood of that outcome. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe a certain corner total is likely, the higher the price of contracts representing that total will rise. This dynamic pricing mechanism aims to provide a real-time assessment of probabilities as perceived by the market participants.

This market resolves around Oct 28, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final corner count, as officially recorded by the match officials, will determine the winning outcome. The total number of corners awarded during the regular 90 minutes of play, plus any added time, will be used for settlement. Any extra time or penalty shootouts are not considered when determining the final corner count for this market.

Several factors could influence the price movement of this market. Late injury reports for key AC Milan or Bologna players known for taking corners could significantly shift expectations. Weather conditions, particularly strong winds, can affect the style of play and potentially lead to more or fewer corners. Even pre-match news regarding tactical approaches – for example, if a team is expected to focus heavily on wing play – could impact trading activity. Any significant changes to team formations or expected playing styles could also move this market.