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Published · By 1Football Prediction

Tennis AI Predictions

Quick Answer

Explore Tennis AI Predictions for Excel, including set and game forecasts, player probabilities, match-winner selections and how to assess performance claims.

Tennis AI Predictions promotional artwork listing set and game predictions, estimated player win probabilities and winning-player forecasts, with an unverified 83% win-rate claim.

Original supplied promotional artwork. The displayed “83% win rate” has not been independently verified from a complete results record.

Tennis AI Predictions is a Windows and Microsoft Excel tool for reviewing set and game forecasts alongside match-winner selections. The supplied promotional image highlights these features and estimated win probabilities for individual players.

Understanding what each output represents is essential. A forecast for one match, a historical player statistic and a software-wide win rate measure different things.

What does the software offer?

The Tennis AI Predictions product page lists set/game predictions, per-player statistics, match-winner forecasts and automatic daily updates.

As checked on 17 October 2026, the listed price is £81 for 12 months of access, paid in a single payment. The stated platform is Windows with Microsoft Excel, with digital delivery after payment.

Before purchasing, review the product screenshots and demonstration, and confirm compatibility with your Excel version.

Understanding the three advertised features

Set and game predictions

A tennis match is built from sets, and sets are built from games. These levels should be kept separate when reading a forecast.

For example, a hypothetical match ending 6–4, 6–4 contains two sets and 20 games. Predicting the match winner would not automatically mean predicting that exact score or total correctly.

The artwork does not identify every supported set or game market. Check the actual worksheet labels before interpreting a figure as a set score, total-games estimate or another selection.

Estimated win probability for each player

A probability expresses uncertainty. If a model assigns a player a hypothetical 65% chance of winning, it still leaves a 35% chance of the other outcome in a two-outcome model.

That percentage is a forecast for the defined event. It is not proof that the software has achieved a 65% historical success rate.

The product listing also refers to per-player success-rate data. Before comparing those figures with estimated probabilities, check their definitions and the period they cover.

Match-winner forecasts

A match-winner selection identifies the player favoured by the software. It does not establish how comfortably that player will win, how many sets will be played or whether a particular games threshold will be reached.

Review each output on its own terms. A correct winner selection can accompany an incorrect set or games forecast.

What does the “83% win rate” claim establish?

The artwork advertises 83%, but it does not show the number of selections, dates, selection rules or complete outcomes behind that figure.

To assess the claim, readers would need:

  • A defined testing period and number of selections.
  • Predictions recorded before the matches began.
  • The specific markets included.
  • All outcomes, including losses.
  • Rules for retirements, walkovers and void selections.
  • A distinction between historical testing and predictions issued in advance.

Without that supporting record, the percentage should be treated as an unverified promotional claim. It should not be presented as a guaranteed future success rate.

A win rate also does not establish profitability: prices and stakes affect returns.

A practical way to review the predictions

Begin with the correct players, tournament and match format. Check whether the information used is relevant to the playing surface and whether any important late information needs separate review.

Save the software output before the match starts. Record the selected market, displayed probability, capture time and eventual result. Include unsuccessful predictions rather than keeping only winning examples.

Over time, this creates a clearer record of what the tool forecast and how those forecasts performed. Results from a separate football model cannot establish the accuracy of this tennis product.

Explore Tennis AI Predictions

The image introduces the product’s advertised features, while the worksheet screenshots and demonstration provide a better view of how users interact with it.

Visit the official Tennis AI Predictions page to review the interface, access terms and current requirements.

By 1Football Prediction. This article uses the supplied promotional artwork and product information checked on 17 October 2026. It is a seller-authored guide, not an independent performance test. 18+. Predictions do not guarantee results or profit.

Explore the software in this article

Tennis AI Predictions →

Windows · Microsoft Excel · 12 months access. Review screenshots, requirements and evidence before buying.

Read the evidence in context

For match examples, check the fixture date, forecast timing, product, market and result source in the article. A displayed score or winning screenshot alone does not establish an overall success rate. Missing or unverified details should not be treated as confirmed.

The free website model and paid software have separate evidence. Explore the evidence library.

Published by 1Football Prediction. Report a correction, including the article URL and the source for the correction. Predictions do not guarantee outcomes.