TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 9, 4:04 PM EST
Kalshi
This group forecasts the outcome of a Ligue 2 soccer match between Pau FC and Stade Lavallois Mayenne FC scheduled for October 9, 2026. Markets exist for Pau FC winning, Stade Lavallois winning, and the game ending in a draw.
This event is for the upcoming Ligue 2 game, scheduled for Friday, October 9, 2026 between Pau FC and Stade Lavallois Mayenne FC.
The event involves three possible outcomes for the Pau vs Stade Lavallois professional Ligue 2 soccer match originally scheduled for October 9, 2026: a win for Pau, a win for Stade Lavallois, or a tie. Each market resolves based on the result after 90 minutes of regular play plus any stoppage time, with no consideration for extra time or penalty shootouts. If the match ends in a tie after regular time, the 'Tie' market resolves as the winner. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price according to the platform's guidelines. The markets operate independently of official league affiliations, and all trademarks remain the property of their respective owners.
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 on this market can arise due to several factors. These platforms operate with different user bases, trading incentives, and liquidity levels, all of which influence price discovery. Additionally, the specific market design – including fees, margin requirements, and order types – can vary between Polymarket and Kalshi, leading to differing valuations. Market participants may also interpret available information and event catalysts differently, resulting in divergent probabilities expressed through trading activity on each platform.