Tennis Predictions: Point-by-Point AI Analysis

Tennis is an individual sport, with no teammates to hide a slump—and that’s what makes it so easy to analyze. Pronovision models each player based on their performance on serve and return, their preferred surface, their head-to-head record against the opponent, and their recent match load. Using these factors, the algorithm calculates a probability of victory and compares it to the market odds, set by set and game by game.

Surface area makes all the difference

Clay, hard court, or grass: each surface favors a certain playing style. A player with a powerful serve dominates on grass but struggles on clay, where rallies go on longer. A player can be ranked No. 5 in the world and virtually unbeatable on a specific surface. The algorithm weights all statistics based on the surface of the match, because an overall average masks these decisive differences.

• Percentage points won on serve by surface
• % points gained on the return leg
• Break points saved / converted

Serves, returns, and tiebreakers

At the highest level, everything comes down to a few key factors. A player who holds 90% of his service games but converts only one out of every five break points will play close matches with plenty of tiebreaks. This profile strongly influences the market for the number of games and sets. The AI cross-references these rates to estimate the probability of a close match or a decisive 2-0 victory.

Fatigue and Schedule

A player who has just come off a four-hour match the day before does not enter the next one in the same condition. The algorithm takes into account the time spent on the court over the past few days, time zones, and altitude. In Grand Slam tournaments, where matches are played in five sets, this factor of freshness becomes a decisive factor in the later rounds.

Betting Markets and Value in Tennis

Beyond picking the winner, tennis offers game handicaps, total games, and exact set scores. When a favorite is heavily favored, the game handicap (-4.5 games) or total games better captures the value. The engine compares these markets and flags the one whose odds deviate the most from the estimated probability.