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%
RMA
all
3 markets
Predict
Polymarket
Kalshi
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Oct 14, 2026
Time left: 05h:00m:31s
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This market tracks whether Real Madrid will win the AS Roma versus Real Madrid CF Champions League soccer game, or if the game will end in a draw or Roma will win. Currently, the consensus probability of Real Madrid winning is 51.0%, while Roma winning is estimated at 26.0%. This aggregated view combines data from Polymarket, Predict, and Kalshi, and will resolve based on the outcome of the game within 90 minutes plus stoppage time, as defined by the match officials. Keep an eye on October 14, 2026, as this is the scheduled date for the game and the end of the betting period.
This event is for the upcoming UEFA Champions League game, scheduled for Wednesday, October 14, 2026 between AS Roma and Real Madrid CF.
The event resolves based on the result of the Roma vs Real Madrid professional Champions League soccer match originally scheduled for October 14, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. If Roma wins the match within this timeframe, the 'Roma' market resolves to Yes. If Real Madrid wins under the same conditions, the 'Real Madrid' market resolves to Yes. If the match ends in a tie after regular time, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform rules. The event exclusively considers the result of regular time, with no account for outcomes determined during extra time or penalty shootouts.
This event is for the upcoming UEFA Champions League game, scheduled for Wednesday, October 14, 2026 between AS Roma and Real Madrid CF.
Prediction market odds, like those found for this market, often differ from traditional sportsbook odds due to the wisdom of the crowd. Sportsbooks set lines based on their own models and incorporate a profit margin, while prediction markets reflect the collective beliefs of many traders. This can lead to more accurate probabilities, as information is aggregated from a diverse range of sources. However, sportsbooks typically offer tighter spreads, while this market may have a 0.5 point spread implied by the current prices. Both offer valuable insights for informed decision-making.
Prices on Polymarket and Kalshi can diverge for a number of reasons. Each platform has its own user base, trading dynamics, and fee structure, which can all influence prices. 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. Furthermore, differing liquidity levels on each platform can create temporary discrepancies. For example, a large trade on Polymarket might shift the price there without immediately impacting Kalshi. The volume of $2,665,055 across both platforms suggests a healthy level of interest, but imbalances can still occur. These price differences present opportunities for arbitrage traders.
This market resolves around Oct 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the AS Roma vs. Real Madrid match will be used to determine the winning outcome. The platform will aggregate results from official sources to ensure accuracy. Traders should monitor official announcements related to the match to stay informed about potential factors that could influence the final outcome of this market. The resolution process is designed to be transparent and objective.
Several factors could significantly impact the price of this market. Any news regarding injuries to key players on either AS Roma or Real Madrid would likely cause movement. Unexpected changes in team form, such as a surprising win or loss in a preceding match, could also shift probabilities. Major tactical announcements from either manager could influence trader sentiment. Finally, any external factors affecting the match, like weather conditions or referee assignments, could contribute to price fluctuations. Monitoring these signals will be crucial for anyone looking to trade this market.