TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Mantova 1911 vs. Palermo FC
polymarket

What is the result of Mantova 1911 vs. Palermo FC?

Volume:
$32,097

Palermo FC

 - Polymarket

Palermo FC - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 3:38 PM EST

polymarket

Polymarket

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

Palermo FC

View
100%
56%
Yes 100¢No 0¢
—
N/A
$16,152
N/A
N/A
N/A
Settled
Yes
polymarket

Mantova 1911

0%
28%
Yes 0¢No 100¢
—
N/A
$13,364
N/A
N/A
N/A
Settled
No
polymarket

Draw (Mantova 1911 vs. Palermo FC)

0%
28%
Yes 0¢No 100¢
—
N/A
$2,580
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event is for the upcoming Serie B game, scheduled for Saturday, October 17, 2026 between Mantova 1911 and Palermo FC.

Polymarket

This event is for the upcoming Serie B game, scheduled for Saturday, October 17, 2026 between Mantova 1911 and Palermo FC.

Frequently asked questions

On Polymarket, the dashboard for the Mantova vs. Palermo match tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time as traders buy and sell shares. Currently, the total volume for this market is $32,097, with $31,697 traded in the last 24 hours. This provides a real-time view of where the crowd stands on the likely result of the match, offering insight beyond traditional pre-match analysis and betting lines.

Prediction market odds often differ from those found at sportsbooks, reflecting the wisdom of the crowd rather than a sportsbook’s internal models. Sportsbooks set lines to balance their risk and ensure profit, while this market allows anyone to express their belief about the outcome. If a significant number of people believe a sportsbook’s odds are inaccurate, the prediction market price will move accordingly, potentially offering a more accurate assessment of the true probabilities. Discrepancies can arise from differing levels of information and analytical approaches applied by participants in each venue.

On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the outcome. The price of a share directly reflects the implied probability of that outcome occurring. As more traders buy shares, the price increases, and vice versa. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price is determined solely by supply and demand, with no centralized bookmaker setting the odds. This dynamic pricing allows for the collective intelligence of the crowd to be reflected in the market’s valuation.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Mantova 1911 vs. Palermo FC match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine which outcome corresponds to the winning shares. Traders holding shares in the winning outcome will be entitled to a payout based on the final market price at resolution.

Several factors could influence the price of this market before Oct 17, 2026. News regarding player injuries or suspensions for either Mantova 1911 or Palermo FC would likely cause significant shifts. Changes in team form, tactical adjustments, or even weather conditions leading up to the match could also impact trader sentiment. Unexpected announcements related to team management or ownership could also move the market. Any information that alters the perceived probability of either team winning will be reflected in the trading activity and price fluctuations.