TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 6:57 PM EST
Polymarket
This event is for the upcoming Peru Liga 1 game, scheduled for Sunday, October 25, 2026 between CD Moquegua and Club Alianza Lima.
This event is for the upcoming Peru Liga 1 game, scheduled for Sunday, October 25, 2026 between CD Moquegua and Club Alianza Lima.
Currently, prediction market odds often reflect a different perspective than traditional sportsbooks. While sportsbooks set lines based on statistical models and public betting patterns, this market allows traders to incorporate a wider range of information and subjective assessments. This can lead to discrepancies, with the prediction market potentially identifying mispriced probabilities. It’s common to see differences in implied probabilities, especially when there’s significant uncertainty or a lack of consensus among experts regarding the outcome of the CD Moquegua versus Club Alianza Lima match.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the CD Moquegua versus Club Alianza Lima match will be used to determine the winning share(s). The resolution will be based on the official result declared by the league organizers, ensuring a transparent and verifiable process. Traders should monitor official sources for the final result to understand when and how this market will be settled.
Several factors could influence the price of this market before Oct 25, 2026. Any news regarding player injuries, team lineups, or changes in coaching staff for either CD Moquegua or Club Alianza Lima could significantly shift trader sentiment. Unexpected weather conditions or controversies surrounding the match could also play a role. Furthermore, any shifts in public opinion, as reflected in sports news and analysis, could impact trading activity and, consequently, the market’s price. Monitoring these signals will be key to understanding potential movements in this market.