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 12, 1:00 AM EST
Kalshi
This market tracks the exact final score of the Liga MX match between Atlante FC and CF Pachuca. Currently, the consensus probability favors an Atlante FC 0 - 3 CF Pachuca result at 100%, while Any Other Score? is at 0.4%. This prediction market aggregates data from Kalshi and Polymarket, and will resolve based on official match statistics as recognized by the governing body or event organizers, with potential fallback to Flashscore or Sofascore if necessary. Keep an eye on the match itself, scheduled for September 11, 2026, as the final score determined at the end of 90 minutes plus stoppage time will finalize this market’s outcome.
In the upcoming Liga MX game between Atlante FC and CF Pachuca, scheduled for September 11, 2026 at 11:00 PM ET: This market will resolve based on the final score of the Atlante FC vs. CF Pachuca match originally scheduled for September 11, 2026 at 11:00 PM ET, considering only the result at the end of 90 minutes of regulation plus stoppage time; extra time and penalty shoot-outs are excluded. If the actual score is not one of the explicitly listed outcomes, the market resolves to "Any Other Score." If the match is postponed, the market will remain open until it is completed; if it is canceled with no make-up game, the market resolves to "0-0." The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, data from Flashscore may be used; if Flashscore data is unavailable, data from Sofascore may be used; if neither is available, a consensus of credible reporting may be used instead. All markets will settle based on the official final result as recognized by the governing body or event organizers. Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome.
All markets resolve based on the total goals scored by both teams in the Atlante vs Pachuca professional Liga MX soccer game scheduled for Sep 11, 2026, after 90 minutes plus stoppage time. Extra time and penalty kicks are excluded from goal counts. Each market has a specific threshold: over 0.5, 1.5, 2.5, 3.5, 4.5, or 5.5 goals. If the actual total goals meet or exceed the threshold, the market resolves to Yes; otherwise, it resolves to No. Kalshi disclaims any official affiliation with the Governing League, and all trademarks remain property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on models and proprietary information, while this market is driven by open trading and real-time information flow. This can lead to discrepancies, especially when public sentiment diverges from expert opinion. While sportsbooks focus on maximizing profit margins, prediction markets aim to accurately reflect the probability of an event occurring, potentially providing more informative odds for this market.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Price discrepancies between Polymarket and Kalshi can arise due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information regarding the Atlante FC vs. Pachuca match. Trading volume also plays a role; lower volume on one platform can lead to greater price volatility and divergence. Additionally, the specific market structures and fee schedules on Polymarket and Kalshi can influence trading behavior and, consequently, the resulting prices for this market. These factors contribute to a dynamic pricing environment.