TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 3, 9:31 PM EST
Polymarket
This group focuses on the outcome of a single soccer match between Leones Futbol Club and Orense SC scheduled for September 3, 2026. Markets exist for Leones winning, Orense winning, and the game ending in a draw.
This event is for the upcoming LigaPro Primera A game, scheduled for Thursday, September 3, 2026 between Leones Futbol Club and Orense SC.
If Tapatio and Leones Negros both score a goal in the Tapatio vs Leones Negros Liga de Expansion MX match originally scheduled for Sep 6, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
Prediction market odds often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by the collective opinions of traders who are incentivized to accurately forecast the outcome. This can lead to prediction markets reflecting a more accurate probability, especially as more information becomes available. However, sportsbooks may offer different types of bets and may react more quickly to breaking news, so comparing both is valuable when analyzing the Leones vs. Orense match.
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 for the Leones vs. Orense match can arise from several factors. These platforms have different user bases, trading volumes, and risk appetites, all of which influence price discovery. Additionally, the specific market structures—fees, margin requirements, and market maker incentives—can vary, leading to differing valuations. Even with the same underlying event, variations in liquidity and information flow can contribute to these divergences. While both platforms aim to reflect the true probability of an outcome, their individual dynamics can result in temporary price discrepancies for this market.