TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 26, 2:33 PM EST
Kalshi
This event group covers the outcome of the AC Sparta Praha vs. Servette FC Chênois Féminin match scheduled for August 26, 2026, focusing on win/draw/loss outcomes within regular play plus stoppage time.
This event is for the upcoming UEFA Women's Champions League game, scheduled for Wednesday, August 26, 2026 between AC Sparta Praha and Servette FC Chênois Féminin.
The event resolves based on the result of the Sparta Prague vs Servette Chenois professional Champions League Women’s soccer match originally scheduled for August 26, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. Three distinct markets correspond to possible outcomes: a win for Sparta Prague, a win for Servette Chenois, or a tie. If the match concludes with a victory for either team within regulation time, the respective market resolves to Yes. If the match ends in a tie after regulation, the Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price in accordance with the event rules. The resolution strictly adheres to the result after 90 minutes plus stoppage time, with no consideration given to extra time or penalty shootout results.
On Polymarket, this market reflects crowd-sourced expectations through continuous trading, often showing tighter spreads than traditional sportsbook lines. Prediction markets price in real-time sentiment and can adjust rapidly to new information, while sportsbooks set fixed odds based on broader factors like team performance and public betting trends. The difference in pricing can be significant, especially when considering the unique dynamics of crowd-driven forecasting. For this market, the gap between prediction market odds and sportsbook lines may vary depending on recent match performance and betting volume.
On Polymarket and Kalshi, pricing can diverge due to differences in user bases, liquidity, and market design. 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. For example, one platform might attract more local fans, skewing its odds toward a particular outcome. Additionally, varying levels of trading volume can lead to wider spreads or different probability assessments. These factors combined mean that Polymarket and Kalshi may show distinct valuations for this market, reflecting the unique composition and activity of each community.