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%
Closed: Oct 24, 2:06 PM EST
Polymarket
This event is for the upcoming Serie B game, scheduled for Saturday, October 24, 2026 between Virtus Entella and Mantova 1911.
This event is for the upcoming Serie B game, scheduled for Saturday, October 24, 2026 between Virtus Entella and Mantova 1911.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their odds based on statistical models and expert analysis, while this market aggregates the beliefs of numerous individual traders. It’s common to see discrepancies between the two, especially before significant events or when public sentiment strongly favors a particular outcome. These differences can arise from varying levels of information, biases, or simply differing interpretations of the available data. Examining both can provide a more comprehensive view of the anticipated result.
This market resolves around Oct 24, 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 Virtus Entella vs. Mantova match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine the winning outcome. Traders who correctly predicted the result will be paid out according to the final share price at the time of resolution, while those who predicted incorrectly will forfeit their shares.
Several factors could influence the price of shares in this market. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could shift expectations and impact trading activity. Significant shifts in public sentiment, perhaps driven by expert analysis or media coverage, could also move the market. Furthermore, the performance of either team in their preceding matches could influence trader confidence and lead to price adjustments. Unexpected weather conditions on the day of the match could also be a catalyst for movement.