TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Stade Rennais FC 1901 vs. Olympique de Marseille
predict

What is the result of Stade Rennais FC 1901 vs. Olympique de Marseille?

Volume:
$179,767

REN

 - Predict

REN - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 11, 2026

Closed: Sep 11, 4:45 PM EST

predict

Predict

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
predict

REN

View
99%
52%
Yes 99¢No 1¢
—
$17,192
$87,285
N/A
N/A
N/A
Settled
Yes
predict

OLM

1%
30%
Yes 1¢No 99¢
—
$2,227
$70,908
N/A
N/A
N/A
Settled
No
predict

Draw

1%
24%
Yes 1¢No 99¢
—
$2,361
$21,574
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event is for the upcoming Ligue 1 game, scheduled for Friday, September 11, 2026 between Stade Rennais FC 1901 and Olympique de Marseille.

Predict

This event is for the upcoming Ligue 1 game, scheduled for Friday, September 11, 2026 between Stade Rennais FC 1901 and Olympique de Marseille.

Frequently asked questions

On Predict, the dashboard for the Stade Rennais vs. Marseille match tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of various outcomes shifts over time, giving you insight into what other users think will happen. Currently, the total volume for this market is $179,767, with $172,760 traded in the last 24 hours. The dashboard provides a real-time view of market sentiment and allows you to analyze trading activity as it unfolds leading up to the event.

Typically, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, reflecting their profit margin, and may be influenced by public betting patterns. This market, however, represents the collective wisdom of traders who are incentivized to accurately forecast the outcome. While sportsbooks may initially set odds based on expert analysis, prediction markets can dynamically adjust as new information emerges and more people participate. It's common to see differences between the two, with prediction markets sometimes providing more accurate probabilities.

On Predict, this market is priced through a continuous auction mechanism. Traders buy and sell contracts representing different outcomes of the Stade Rennais vs. Marseille match, and the price of each contract reflects the market's current expectation of that outcome's probability. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand – if more people believe Stade Rennais will win, the price of contracts predicting that outcome will increase. Conversely, if sentiment shifts towards Marseille, those contracts will become more expensive. This creates a dynamic pricing system that aggregates the knowledge of all participants.

This market resolves around Sep 11, 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 Stade Rennais vs. Marseille match, as reported by a recognized sports data provider. The market will determine which team won, or if the match ended in a draw, based on the official scoreline. Traders will then be paid out according to their holdings in the winning outcome contract, or their positions will be settled accordingly.

Several factors could influence trading activity in this market leading up to Sep 11, 2026. Any news regarding player injuries or suspensions for either Stade Rennais or Marseille would likely cause significant price movement. Changes in team form, tactical adjustments, or even weather conditions on match day could also impact trader sentiment. Unexpected announcements about coaching changes or internal team issues could also shift the odds. Furthermore, large trading volume from informed participants could signal new information or a change in market expectations, potentially causing substantial fluctuations.