Delaunay+ Launches Prediction Market for Auffay vs Pavilly Barentin

The Delaunay+ platform has launched a prediction market for the upcoming senior tennis match between Auffay Tennis Club and Pavilly Barentin Tennis Club, scheduled for August 26-27, 2026. The feature allows users to bet on the match outcome in a 1N2 format—predicting a home win, a draw, or an away win—with points awarded based on the difficulty of the prediction.

Points System Rewards Contrarian Predictions

The system allocates points according to the distribution of votes among all users at the time of the bet closure. Predictors who choose an outcome that is heavily favored by the crowd will receive fewer points for a correct guess, while those who predict a less popular outcome can earn significantly more. The point scale is as follows: majoritarian predictions receive 1 point, balanced ones receive 2, minoritarian predictions get 3 points, and very minoritarian predictions are rewarded with 5 points. Incorrect predictions yield 0 points.

Prediction Window and Lock-in Rules

Betting for the Auffay vs. Pavilly Barentin match will open seven days prior to the event and can be modified up until the official start time of the match. Once the match begins, all user predictions are locked, and points will be distributed after the event’s conclusion. It is important to note that results are not updated instantly; they will be processed as soon as the official scores are received by Delaunay+.

Rewards and Rankings

Users can track their performance through global, monthly, sport-specific, and club-based leaderboards. The platform also offers challenges to unlock and various rewards to be won, including match tickets, signed jerseys, and partner vouchers. The detailed rules, rankings, and reward information can be accessed within the “Jeux” section of the Delaunay+ platform.

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Luis Mendoza - Sport Editor

Senior Editor, Sport Luis is a respected sports journalist with several national writing awards. He covers major leagues, global tournaments, and athlete profiles, blending analysis with captivating storytelling.

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