TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 23, 9:59 PM EST
Polymarket
This event is for the upcoming Peru Liga 1 game, scheduled for Sunday, September 13, 2026 between AD Tarma and CS Cienciano.
This event is for the upcoming Peru Liga 1 game, scheduled for Sunday, September 13, 2026 between AD Tarma and CS Cienciano.
Typically, prediction market odds reflect a different set of information and incentives than those found at traditional sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while this market allows traders to directly assess the probability of an outcome. If polls or analysts favor a particular result, we might see corresponding movement in this market, but it's not guaranteed. Discrepancies can arise due to differing opinions, information access, or simply variations in market participants. Examining these differences can provide valuable insights into the collective wisdom of the crowd.
This market resolves around Sep 23, 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 AD Tarma versus CS Cienciano match in the Peruvian Primera División. The platform will verify the result against widely available and trusted sources to determine the winning outcome. Traders who correctly predicted the result will be paid out according to the final market prices at the time of resolution.
Several factors could influence the price of this market before Sep 23, 2026. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could significantly shift expectations. Match previews from reputable sports analysts, or even significant betting activity at traditional sportsbooks, might also impact trading volume and price movements. Furthermore, unexpected weather conditions or even public sentiment expressed on social media could contribute to shifts in the market’s assessment of the likely outcome.