Today's AI Tennis Predictions and Analysis

Last updated: 2026-02-03

montpellier

atp_250 | Round of 32 | hard
France

Miomir Kecmanovic

VS

Pablo Carreno Busta

Win Probability

63.9%
36.1%
Kecmanovic Busta
View Games, Aces & Double Faults Predictions

montpellier

atp_250 | Round of 32 | hard
France

Hubert Hurkacz

VS

Martin Damm

Win Probability

62.6%
37.4%
Hurkacz Damm
View Games, Aces & Double Faults Predictions

montpellier

atp_250 | Round of 32 | hard
France

Ugo Humbert

VS

Botic van de Zandschulp

Win Probability

54.6%
45.4%
Humbert Zandschulp
View Games, Aces & Double Faults Predictions

montpellier

atp_250 | Round of 32 | hard
France

Andrea Vavassori

VS

Ugo Blanchet

Win Probability

50.4%
49.6%
Vavassori Blanchet
View Games, Aces & Double Faults Predictions

montpellier

atp_250 | Round of 32 | hard
France

Titouan Droguet

VS

Jan Choinski

Win Probability

49.9%
50.1%
Droguet Choinski
View Games, Aces & Double Faults Predictions

montpellier

atp_250 | Round of 32 | hard
France

Valentin Royer

VS

Arthur Fils

Win Probability

45.2%
54.8%
Royer Fils
View Games, Aces & Double Faults Predictions

What's Inside Each Match Analysis

Click on any match card above to access our in-depth match analysis pages. Each article provides comprehensive insights you won't find elsewhere:

Probability Distribution Charts

Interactive visualizations showing the full probability distribution for total games, aces, and double faults predictions.

Cumulative Distribution Functions

CDF charts to understand probabilities like "chance of more than 25 aces" or "probability of under 22 games".

Player Ranking Evolution

Historical ATP ranking charts for both players, showing form trends and career trajectory.

Proprietary Tennis Indices

Our custom-built metrics capturing player form, surface performance, and match dynamics.

Learn How to Read These Charts

AI-Powered Tennis Predictions

Our proprietary deep learning models are trained on more than 30,000 ATP matches and leverage over 500 features to generate accurate predictions. Unlike simple win/loss predictions, we generate full probability distributions for:

Match Winner
Total Games
Aces Predictions
Double Faults

Our models incorporate rolling averages by surface type (hard, clay, grass) and tournament category (Grand Slams, Masters 1000, ATP 500/250), along with our proprietary Form Index and Surface Index that quantify player momentum and surface-specific strengths.

Each feature carries different weight depending on the prediction type. For aces predictions, the surface is highly influential (grass courts produce far more aces than clay), tournament format matters (Grand Slams are best-of-5 sets, meaning more games and serving opportunities), plus each player's serve index and their recent serve performance in the last matches. Learn more about our Tennis Indices

ATP Tournament Coverage

We provide AI predictions for all major ATP Tour events, covering the following ATP calendar:

Grand Slams

  • Australian Open
  • Roland Garros
  • Wimbledon
  • US Open

Masters 1000

  • Indian Wells
  • Miami
  • Monte Carlo
  • Madrid
  • Rome
  • Toronto / Montreal
  • Cincinnati
  • Shanghai
  • Paris

ATP 500

  • Rotterdam
  • Dubai
  • Acapulco
  • Barcelona
  • Halle
  • Queen's Club
  • Hamburg
  • Washington
  • Tokyo
  • Vienna
  • Basel

ATP 250

  • Brisbane
  • Adelaide
  • Auckland
  • Montpellier
  • Buenos Aires
  • Munich
  • Stuttgart
  • Eastbourne
  • + 30 more tournaments

Prediction Transparency

We believe in full transparency. All our historical predictions and their outcomes are publicly available. Track our prediction accuracy and model performance over time:

Current Season Performance 2025 Season Performance

Get Daily Tennis Predictions

If you like our content and want to receive daily predictions, subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

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Frequently Asked Questions

Unlike other prediction services that only provide simple win/loss probabilities, we are the only platform offering full probabilistic distributions for aces and double faults predictions. Our deep learning models generate complete probability distributions, allowing you to see not just the expected value but the entire range of likely outcomes. This gives you unprecedented insight into serve statistics predictions that no other tennis prediction service provides.

Our models are trained on over 30,000 ATP matches and continuously refined. We believe in full transparency—all our historical predictions and outcomes are publicly available on our performance tracking page. You can verify our accuracy across different tournaments, surfaces, and prediction types.

A probability distribution shows the likelihood of each possible outcome, not just a single prediction. For example, instead of just saying "expected 24 games," we show you the probability of 20, 21, 22, 23, 24, 25+ games and so on. This is especially valuable for aces predictions and double faults predictions, where understanding the range of outcomes provides much deeper insight than a single number. Learn more about probability distributions.

We provide AI predictions for the entire ATP Tour calendar: all four Grand Slams (Australian Open, Roland Garros, Wimbledon, US Open), all nine Masters 1000 events, every ATP 500 tournament, and over 30 ATP 250 events. Our coverage includes matches on all surfaces—hard court, clay, and grass.

Our predictions are generated daily before matches begin. We process the latest ATP rankings, recent match results, and player form data to ensure predictions reflect the most current information available. Each match analysis page includes insights and predictions specific to that matchup.

Tennis Indices are our proprietary metrics that capture aspects of player performance not reflected in standard statistics. They include surface-specific form indicators, momentum metrics, and head-to-head adjustments. These indices are fed into our deep learning models to improve prediction accuracy. Learn more about our Tennis Indices.

Our deep learning models leverage over 500 features to generate predictions. These include rolling averages by surface type (hard, clay, grass) and tournament category (Grand Slams, Masters 1000, ATP 500/250), plus our proprietary Form Index and Surface Index. Each feature carries different weight depending on the prediction type. For example, aces predictions heavily rely on surface (grass produces more aces), tournament format (Grand Slams are best-of-5, meaning more serving opportunities), player serve indices, and recent serve performance trends.

We provide two types of charts in each match analysis. The probability distribution chart shows you the likelihood of each possible outcome—the peak indicates the most likely result, and the spread shows how certain the prediction is. The CDF (Cumulative Distribution Function) chart is perfect for understanding over/under scenarios—it shows the probability of outcomes being less than or equal to any value. Read our complete guide to understanding probability charts

Our proprietary ELO rating system is one of the key features fed into our neural networks. Unlike ATP rankings that reflect points accumulated over 52 weeks, ELO ratings capture current player strength by updating after every match. We calculate multiple ELO variants—including tournament-weighted, surface-specific, and performance-based ratings—that help our models understand player quality in real-time. These dynamic ratings, combined with our other features, enable our neural networks to generate accurate probability distributions for match outcomes. Learn more about our Tennis ELO Rating System