TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 21, 4:58 PM EST
Kalshi
This market tracks whether Aston Villa will win their Champions League soccer match against Viking. Currently, Kalshi gives Aston Villa a 98.0% probability of winning, with a 2.0% probability of a tie. The market resolves based on the result of the match after 90 minutes plus stoppage time, as determined by the official Champions League outcome, and will be settled on October 21, 2026 – the scheduled date for the Aston Villa vs Viking match. Keep a close watch on the starting lineups announced prior to the October 21, 2026 kickoff, as they may indicate potential tactical approaches impacting the match outcome.
The event determines the winner of the Aston Villa vs Viking professional Champions League soccer match originally scheduled for October 21, 2026, following 90 minutes of regular play plus any stoppage time, but not including extra time or penalty shootouts. If Aston Villa secures a victory under these conditions, the 'Aston Villa' market resolves to Yes. Conversely, if Viking achieves the win, the 'Viking' market resolves to Yes. Should the game conclude in a tie after the specified duration, the 'Tie' market resolves to Yes. In the event the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as per the defined procedures. The markets are independent of any official league affiliations, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the collective wisdom of a diverse group of participants, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market is driven by actual money on the line. It’s common to see discrepancies, especially before significant events or when new information emerges. These differences can arise from varying levels of information, biases, or simply differing interpretations of the same data. Comparing the two can be a useful exercise for informed decision-making.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market’s current expectation of that outcome’s probability. As more traders buy contracts for a particular outcome, its price increases, and vice-versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly. The goal is to create a market where the prices accurately reflect the true likelihood of each possible result.
This market resolves around Oct 21, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Aston Villa vs Viking match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine the winning contract(s). Traders holding contracts corresponding to the correct outcome will be paid out according to the final market price at resolution. It's important to monitor the event's progress leading up to this date.
Several factors could influence this market before Oct 21, 2026. Any news regarding player injuries, team form, or tactical changes could significantly shift expectations. Unexpected weather conditions on match day could also play a role. Major upsets in other related matches, or even general shifts in public sentiment, could also impact trading activity. Pay attention to pre-match analysis from sports analysts and any official announcements from the teams or league, as these are likely to be reflected in the market prices. Monitoring these signals can help you understand potential price movements.