TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 30, 4:56 PM EST
Kalshi
This group forecasts the outcome of a Ligue 2 soccer match between Grenoble Foot 38 and Dijon Football Côte d'Or on October 30, 2026. Markets exist for Grenoble winning, Dijon winning, and the game ending in a draw. Resolution depends on the official match result after 90 minutes plus stoppage time.
This event is for the upcoming Ligue 2 game, scheduled for Friday, October 30, 2026 between Grenoble Foot 38 and Dijon Football Côte d'Or.
The market resolves based on the result of the Grenoble vs Dijon professional Ligue 2 soccer game scheduled for October 30, 2026, after 90 minutes plus stoppage time. A win for Grenoble resolves the 'Grenoble' market to Yes; a win for Dijon resolves the 'Dijon' market to Yes; a tie resolves the 'Tie' market to Yes. If the game is cancelled or rescheduled to more than 48 hours away from the original date, the market will resolve to a fair price according to the rules. The markets are independent of any official league affiliations, and all trademarks remain 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 for this market can arise due to several factors. Differences in trader demographics, liquidity, and market-making strategies all contribute to varying prices. Polymarket may attract a different class of traders with unique information or risk tolerance compared to Kalshi. Furthermore, the volume of trading on each platform – currently $53,969 overall – impacts price discovery, and differing fee structures can also influence trading behavior and, consequently, the odds offered. These factors create a dynamic environment where prices reflect the collective intelligence of each platform’s user base.