TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 27, 7:25 PM EST
Polymarket
More markets for the Copa del Rey game, scheduled for October 27 at 2:45 PM ET.
More markets for the Copa del Rey game, scheduled for October 27 at 2:45 PM ET.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market allows anyone to participate and express their beliefs. Discrepancies can arise due to differing information, biases, or simply variations in opinion. It’s common to see prediction markets move faster to incorporate new information than sportsbooks, especially in response to breaking news or unexpected developments related to the teams involved.
This market resolves around Oct 27, 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 UD Castellonense vs. UD Almería match, specifically whether the total goals scored are over or under 3.5. The platform will verify the final score against trusted sports data 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 Oct 27, 2026. Any news regarding player injuries, team form, or changes in coaching staff for either UD Castellonense or UD Almería could significantly shift trader sentiment. Unexpected weather conditions on match day could also play a role, potentially impacting the style of play and the likelihood of goals. Furthermore, any significant news related to the broader football league or competition could indirectly influence the market, as traders adjust their expectations based on the overall landscape.