TOTAL VOLUME:
$142b
24H VOL:
$104,905,421
24H TRANSACTIONS:
2,626,885,236
OPEN INTEREST:
$1,583,166,266
457,546
Markets across
34,969
events
MATCHED EVENTS:
2,927
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
Manchester City
all
3 markets
Kalshi
Predict
Polymarket
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Oct 14, 2026
Time left: 06h:00m:31s
$
This market tracks whether Manchester City will win their Champions League soccer game against Paris Saint-Germain FC. Currently, the consensus probability of Manchester City winning is 48.0%, with PSG winning at 30.0%. This aggregated view combines data from Polymarket, Predict, and Kalshi, and will resolve based on the outcome of the game after 90 minutes plus stoppage time, as defined by the resolution source. Keep an eye on October 14, 2026, as that is the scheduled date for the Manchester City vs. PSG match and the end of the betting period.
This event is for the upcoming UEFA Champions League game, scheduled for Wednesday, October 14, 2026 between Manchester City FC and Paris Saint-Germain FC.
The event resolves based on the result of the Manchester City vs PSG professional Champions League soccer match originally scheduled for October 14, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. If Manchester City wins, the 'Manchester City' market resolves to Yes. If PSG wins, the 'PSG' market resolves to Yes. If the match ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, the markets will resolve to a fair price as determined by the platform rules. The markets are independent of any official league affiliations, and all trademarks remain the property of their respective owners.
This event is for the upcoming UEFA Champions League game, scheduled for Wednesday, October 14, 2026 between Manchester City FC and Paris Saint-Germain FC.
Prediction market odds, like those seen on this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to profit from margins, while prediction markets allow traders to directly express their beliefs. This can lead to discrepancies, especially when public opinion diverges from expert analysis. It’s common to see prediction markets move faster to incorporate new information, as traders react quickly to developments affecting the Manchester City vs. PSG match. Examining both sources provides a more well-rounded view.
Prices on Polymarket and Kalshi may differ due to variations in trader participation, market design, and liquidity. 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. Each platform attracts a different user base with varying levels of expertise and risk tolerance. Furthermore, the specific rules and fees on each platform can influence trading behavior. For example, differing margin requirements or settlement mechanisms could lead to price discrepancies. The volume of trading also plays a role; a market with higher volume generally exhibits greater price stability and accuracy, and this market currently has volume of $2,513,330.
This market resolves around Oct 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Manchester City vs. PSG match, as reported by official sources, will determine the winning outcome. The resolution will be based on the final score of the match, accounting for any extra time or penalty shootouts if applicable. Traders will be able to see the verified result on both Polymarket and Kalshi following the conclusion of the game.
Several factors could significantly impact this market before Oct 14, 2026. Key player injuries or suspensions for either Manchester City or PSG would likely cause price shifts. Unexpected changes in team form, tactical adjustments, or even weather conditions could also influence trader sentiment. Major news regarding team morale or off-field issues could also play a role. Any significant pre-match announcements, such as confirmed starting lineups, are likely to trigger trading activity and adjust the probabilities reflected in this market.