TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
O/U 2.5
- Polymarket
O/U 2.5 - Polymarket
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 6, 2026
Time left: 03d:18h:26m
$
More markets for the Serie B game, scheduled for November 6 at 2:30 PM ET.
More markets for the Serie B game, scheduled for November 6 at 2:30 PM ET.
Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own modeling and to balance betting action, while this market relies on individuals directly expressing their beliefs about the outcome. Discrepancies can arise due to differing information, biases, or simply a wider range of perspectives represented in the prediction market. Analyzing these differences can offer valuable insights, but remember that both represent probabilities based on different methodologies.
This market resolves around Nov 6, 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 Ascoli vs. Palermo match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine the winning outcome and distribute payouts accordingly. Traders should monitor official sources for the final result to understand how this market will settle.
Several factors could influence the price of this market before resolution. Any news regarding team injuries, changes in coaching staff, or shifts in player form could significantly impact trader sentiment. Unexpected weather conditions on match day, or even pre-match analysis from respected football commentators, could also cause price fluctuations. Furthermore, large trading volume from informed participants could signal new information entering the market and lead to price adjustments. Monitoring these signals can help you understand potential shifts in the perceived probability of each outcome.