TOTAL VOLUME:
$154.8b
24H VOL:
$260,393,102
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,894,304,386
408,643
Markets across
39,771
events
MATCHED EVENTS:
4,493
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 26, 5:30 PM EST
Predict
In the upcoming Ligue 1 game between Paris Saint-Germain FC and Olympique Lyonnais, scheduled for October 25, 2026 at 3:45 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
In the upcoming Ligue 1 game between Paris Saint-Germain FC and Olympique Lyonnais, scheduled for October 25, 2026 at 3:45 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
On Predict, this market is priced through a continuous order book where traders can buy and sell contracts representing each possible halftime result. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of the traders. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people buy contracts predicting a specific outcome, the price increases, and vice versa. This dynamic pricing mechanism ensures that the odds closely reflect the perceived probability of each outcome, driven by informed speculation and analysis.
This market resolves around Oct 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The halftime result of the Paris Saint-Germain FC versus Olympique Lyonnais match will be used to determine the winning contract. The resolution will be based on the official result as reported by a trusted sports data source, ensuring a fair and accurate settlement. Traders will be able to see the final result and their payouts shortly after the match concludes.
Several factors could influence trading activity in this market. News regarding player injuries or suspensions for either Paris Saint-Germain or Lyon would likely cause significant movement. Any changes in team formations or tactical approaches announced before the match could also shift the odds. Unexpected weather conditions on match day or even pre-game analysis from prominent sports commentators could sway trader sentiment. Overall, any information that alters the perceived probability of a particular halftime result has the potential to move this market.