TOTAL VOLUME:
$154.2b
24H VOL:
$203,036,808
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,857,846,526
408,774
Markets across
40,345
events
MATCHED EVENTS:
4,373
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 10:28 AM EST
Kalshi
This market centers on the outcome of a professional Serie C soccer match between Gubbio and Perugia. The focus is on determining whether Gubbio, Perugia, or neither (a tie) secures a victory within the standard 90 minutes plus any added stoppage time. The resolution depends strictly on the result of that specific match date and time, excluding any extended play such as extra time or penalty shootouts.
The event involves three possible outcomes for the Gubbio vs Perugia professional Serie C soccer match scheduled for October 3, 2026: a win for Gubbio, a win for Perugia, or a tie—all determined after the full 90 minutes of regular play plus any stoppage time, but excluding extra time or penalty kicks. Each market corresponds to one of these outcomes. If the match ends in a draw at the end of regulation time, the 'Tie' market resolves positively, while the 'Gubbio' and 'Perugia' markets resolve negatively. Should the game be canceled or rescheduled to more than 48 hours beyond the original date, all markets will be resolved at a fair price as per the event rules. The markets are independent of any official league affiliations, and all trademarks remain property of their respective owners.
Prediction market odds often reflect the collective wisdom of a diverse group of participants, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on their own models and risk management, while this market is driven by individuals trading on their own insights. It's common to see discrepancies between the two, especially before a significant amount of trading occurs. Examining these differences can be valuable for identifying potential mispricings or areas where the crowd holds a view that diverges from expert analysis. However, it’s important to remember that both represent probabilities of an outcome.
On Kalshi, this market is priced through a continuous order book, meaning traders directly buy and sell contracts representing different outcomes of the Gubbio vs Perugia match. The price of each contract reflects the market's current assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the evolving consensus. This dynamic pricing mechanism allows for a real-time assessment of expectations, influenced by news, analysis, and any other information traders deem relevant. The market depth and spread can also indicate the level of confidence in a particular outcome.
This market resolves around Oct 3, 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 Gubbio vs Perugia match, as reported by a recognized sports data provider. The final score and winner will be used to determine which contracts pay out. Traders who correctly predicted the outcome will receive a payout based on the contract's price at resolution. It’s important to monitor the event closely as the resolution date approaches to ensure you understand the potential implications for your positions.
Several factors could influence the price of this market before resolution. Any news regarding player injuries, team form, or changes in coaching staff could significantly shift expectations. Unexpected weather conditions on match day could also play a role, particularly if they favor one team's playing style. Major upsets in other related matches might also impact sentiment. Furthermore, large trading volume from informed participants could indicate new information or a shift in the overall assessment of the likely outcome of the Gubbio vs Perugia match. Monitoring these signals is crucial for staying informed and making strategic trading decisions.