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Servette FC Chênois Féminin vs. OL Lyonnes
polymarket
kalshi

What is the result of Servette FC Chênois Féminin vs. OL Lyonnes?

Volume:
$1,589,912

Lyon

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 23, 2026

Closed: Sep 23, 2:47 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Lyon

View
100%
5%
Yes 100¢No 0¢
100¢
N/A
$220,785
N/A
N/A
$209,100
Settled
Yes
polymarket

OL Lyonnes

View
100%
4%
Yes 100¢No 0¢
0.1¢
N/A
$132,927
N/A
N/A
N/A
Settled
Yes
kalshi

Servette Chenois

View
0%
3%
Yes 0¢No 100¢
100¢
N/A
$701,654
N/A
N/A
$614,394
Settled
No
polymarket

Servette FC Chênois Féminin

View
0%
1%
Yes 0¢No 100¢
—
N/A
$75,855
N/A
N/A
N/A
Settled
No
kalshi

Tie

View
0%
4%
Yes 0¢No 100¢
100¢
N/A
$441,046
N/A
N/A
$371,027
Settled
No
polymarket

Draw (Servette FC Chênois Féminin vs. OL Lyonnes)

View
0%
3%
Yes 0¢No 100¢
—
N/A
$17,645
N/A
N/A
N/A
Settled
No
Total markets: 6

Intro

This market tracks the outcome of a Women's Champions League soccer match between Servette FC Chênois Féminin and OL Lyonnes, asking whether Servette will win, Lyon will win, or the game will end in a draw within 90 minutes plus stoppage time. Currently, the consensus probability of OL Lyonnes winning on September 23, 2026 is 100.0%. This forecast aggregates data from Polymarket and Kalshi, and will resolve based on the official results reported at https://www.uefa.com/womenschampionsleague/. Keep an eye on the official UEFA website as September 23, 2026 approaches for confirmation of the match schedule and any potential changes.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket explicitly resolves canceled games to 'No', while Kalshi lacks a clear cancellation rule.Hero tip: If you believe the game is likely to be canceled, favor the 'No' outcome on Polymarket. On Kalshi, the cancellation risk is unpriced.

Critical divergence points:

  • Polymarket: Resolves to 'No' if the game is canceled entirely with no make-up game. Uses official stats, then Flashscore/Sofascore/consensus if official stats are unavailable within 2 hours. Resolution within 24 hours or 50/50 split.
  • Kalshi: Resolves based on the outcome after 90 minutes plus stoppage time. No explicit cancellation rule is stated, implying the game must occur for resolution. No stated fallback source if official data is unavailable.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This event is for the upcoming UEFA Women's Champions League game, scheduled for Wednesday, September 23, 2026 between Servette FC Chênois Féminin and OL Lyonnes.

Kalshi

The event resolves based on the full-time result of the Servette Chenois vs Lyon professional Champions League Women's soccer match scheduled for September 23, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome applies to the specific market corresponding to the winning team or a tied result within this timeframe. If the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve at a fair price. The event exclusively considers regular-time results, with no account for extra time or penalty shootouts. Kalshi disclaims any official affiliation with the governing league, and all trademarks remain property of their respective owners.

Frequently asked questions

Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own modeling and aim to balance action on both sides, while this market allows anyone to trade on their beliefs. This can lead to discrepancies, especially when public sentiment diverges from expert analysis. While sportsbooks may initially set odds based on team statistics and player performance, this market dynamically adjusts as new information and opinions emerge, potentially providing more accurate forecasts as the event approaches.

On Polymarket, traders set the odds by directly bidding on the outcome, while Kalshi uses a different mechanism. 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. This difference in market structure can lead to price variations, even when both platforms are tracking the same event. Additionally, differing user bases and liquidity levels on each platform can contribute to these discrepancies. For example, if Polymarket attracts more sophisticated traders, its prices might be more efficient, while Kalshi could be more influenced by casual bettors. These factors can cause the probabilities to diverge, creating arbitrage opportunities for informed traders.