TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 12:13 PM EST
Polymarket
More markets for the Russian Premier League game, scheduled for October 31 at 8:15 AM ET.
More markets for the Russian Premier League game, scheduled for October 31 at 8:15 AM ET.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the likelihood of a particular outcome. The price of each share directly corresponds to the probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe an outcome is likely, the higher the share price will climb, and vice versa. This dynamic pricing ensures that the market reflects the most up-to-date collective intelligence regarding the Rubin Kazan vs. Fakel match.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Rubin Kazan vs. Fakel match, as reported by a recognized sports data provider. The platform will verify the final score and determine the winning outcome based on the established rules of the competition. Traders will then be able to claim their winnings or adjust their positions based on the resolved outcome of this market.
Several factors could influence the trading activity in this market before resolution. Any news regarding team injuries, changes in coaching staff, or significant shifts in player form could impact trader sentiment. Unexpected weather conditions on match day, or even pre-match statements from key players, could also cause the odds to fluctuate. Furthermore, large trading volume from informed participants could signal a change in market expectations, prompting others to adjust their positions accordingly. Monitoring these signals can provide insights into the evolving probabilities within this market.