TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Toulouse
- Polymarket
Toulouse - Polymarket
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 14, 2026
Time left: 11d:11h:52m
$
This event is for the upcoming Top 14 match between Toulouse and ASM Clermont Auvergne, scheduled for November 7 2026.
This event is for the upcoming Top 14 match between Toulouse and ASM Clermont Auvergne, scheduled for November 7 2026.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief in the likelihood of each outcome. As more shares are bought for a particular outcome, its price increases, reflecting a higher implied probability. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a share directly corresponds to the probability of that outcome occurring, as perceived by the market participants. This dynamic pricing ensures that the market reflects the most up-to-date collective intelligence of the traders involved.
This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will resolve based on the official result of the Top 14 rugby final, as declared by the league’s governing body. The winning team will determine the outcome, and the market will settle accordingly. Traders who held shares in the correct outcome will be paid out based on the final market price at the time of resolution.
Several factors could influence trading activity and shift the odds in this market. Any significant news regarding player injuries, team form, or coaching changes could prompt traders to reassess their predictions. Unexpected results in other matches leading up to the final could also impact perceptions of team strength. Furthermore, major weather forecasts for the match day could play a role, as certain teams may perform better in specific conditions. Public sentiment and expert analysis, while not directly reflected in the market, can also indirectly influence trader behavior.