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: Nov 1, 5:12 PM EST
Polymarket
In the upcoming Belgium Pro League game between Royal Charleroi SC and RAAL La Louviere, originally scheduled for Sunday, November 1, 2026 at 1:15 PM ET (as of creation of the first market related to the event):
In the upcoming Belgium Pro League game between Royal Charleroi SC and RAAL La Louviere, originally scheduled for Sunday, November 1, 2026 at 1:15 PM ET (as of creation of the first market related to the event):
Prediction market odds often differ from those found at traditional sportsbooks due to the differing incentives and information sources of the participants. Sportsbooks set lines to balance action and ensure profit, while prediction market participants are incentivized to accurately forecast the outcome. This can lead to prediction markets reflecting a 'wisdom of the crowd' effect, potentially offering more accurate probabilities, especially as the event approaches. It’s common to see discrepancies, with this market potentially showing a different assessment of the teams’ chances than traditional betting outlets.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official result of the Belgian soccer match between Royal Charleroi SC and RAAL La Louviere. Verification will rely on widely available and trusted sources for soccer results, ensuring a transparent and objective determination of the winning outcome. Traders will be able to claim their winnings once the resolution is finalized and the outcome is officially recorded.
Several factors could influence the trading activity in this market before resolution. Any news regarding player injuries, changes in team lineups, or unexpected coaching decisions could significantly shift the perceived probabilities. Match previews from reputable sports analysts, weather conditions on the day of the match, and even public sentiment expressed on social media could all contribute to price movements. A surprising result in a related match involving either team could also impact trading, as could any significant developments affecting the teams’ form or morale.