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%
Closed: Oct 24, 1:20 PM EST
Polymarket
This event is for the upcoming Serie B game, scheduled for Saturday, October 24, 2026 between FC Südtirol and UC Sampdoria.
This event is for the upcoming Serie B game, scheduled for Saturday, October 24, 2026 between FC Südtirol and UC Sampdoria.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a small team of experts, while this market aggregates opinions from many individuals. It’s common to see discrepancies between the two, especially when there’s significant uncertainty or public debate surrounding the outcome. Analyzing these differences can be valuable, as prediction markets sometimes anticipate events more accurately than traditional methods, though this is not always the case.
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 FC Südtirol vs. UC Sampdoria match. The platform will verify the result against trusted 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 trading activity and shift the odds in this market. Any news regarding team injuries, changes in player lineups, or tactical adjustments could significantly impact the perceived likelihood of different outcomes. Unexpected weather conditions or referee announcements might also play a role. Furthermore, major shifts in public sentiment or expert analysis regarding the teams’ performance could drive trading volume and cause the market to react. Monitoring these signals will be key to understanding potential price movements.