TOTAL VOLUME:
$134b
24H VOL:
$85,014,378
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,391,695,592
394,774
Markets across
30,069
events
MATCHED EVENTS:
2,615
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 4, 5:01 PM EST
Kalshi
This event focuses on the margin of victory in the Genoa versus Como soccer match. Different markets cover various winning margins for each team, determining if one side achieves a sufficiently dominant performance.
This event assesses whether Genoa or Como wins the match by exceeding specific goal differentials after 90 minutes plus stoppage time, excluding extra time or penalties. Two sets of markets exist: one for Genoa winning by more than 2.5 or 1.5 goals, and another for Como winning by more than 1.5 or 2.5 goals. A market resolves to Yes if the winning team’s goal margin meets or exceeds the specified threshold; otherwise, it resolves to No. Each market operates independently, and the resolution depends on the official match result recorded by the governing league.
On Kalshi, this market reflects trader sentiment rather than traditional sportsbook lines. Prediction market odds adjust dynamically based on real-time trading activity and can diverge from sportsbook odds due to different participant motivations and information sources. While sportsbooks may incorporate expert analysis and risk management models, prediction markets aggregate crowd-sourced forecasts, often leading to unique pricing. Traders should compare both to identify potential value differences, keeping in mind that Kalshi's pricing is driven purely by user bets and market depth, without the influence of bookmaker adjustments.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread recorded at the end of the match will determine which side of the market is correct. As long as the result is publicly reported and unambiguous, the market will settle automatically according to the rules set by Kalshi. No additional interpretation or subjective judgment is required beyond confirming the official match result.
Injuries to key players, changes in team strategy, or weather conditions could all shift expectations for the point spread and move this market. Additionally, strong performance in prior matches, coaching adjustments, or even shifts in betting trends can influence trader sentiment. As the match nears, any new information that affects the perceived competitiveness of the teams may cause rapid price adjustments. Monitoring pre-game analysis, lineup announcements, and overall team momentum will be crucial for tracking potential market movements.