TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 1:03 AM EST
Polymarket
This event is for the upcoming Liga Nacional Guatemala game, scheduled for Saturday, September 19, 2026 between Aurora FC and CD Marquense.
This event is for the upcoming Liga Nacional Guatemala game, scheduled for Saturday, September 19, 2026 between Aurora FC and CD Marquense.
Often, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks set lines to balance their risk, incorporating a 'vig' or commission, while this market reflects the collective wisdom of traders who are incentivized to make accurate predictions. If a significant discrepancy exists between prediction market probabilities and sportsbook odds, it could indicate that the market believes the sportsbook is mispricing the event, or that new information hasn't yet been fully incorporated into the sportsbook's lines. It’s a useful comparison for informed decision-making.
This market resolves around Sep 19, 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 Aurora FC vs. CD Marquense match, as reported by a recognized sports authority. The platform will verify the result against these sources to determine which outcome is the winner and distribute payouts accordingly. Traders should monitor official sources for updates as the resolution date approaches.
Several factors could influence the price of this market before Sep 19, 2026. Any news regarding team injuries, changes in coaching staff, or significant shifts in player form could all impact trader sentiment. Unexpected weather conditions on match day, or even pre-game analysis from respected sports commentators, could also cause the market to react. Furthermore, large trading volume from informed participants could signal new information or a shift in expectations, leading to price movements in this market.