ATPITA
Racquet Rating: 650.4 out of 1000. Status: Active.
Rating movement: unchanged over 2 months, since 2026-03-31.
Official ATP Ranking
#48
Every published Racquet Rating observation for Matteo Berrettini, from the canonical rating artifact.
| Date | Racquet Rating | Change | Matches in window |
|---|---|---|---|
| March 31, 2023 | 640.2 | — | 40 |
| June 30, 2023 | 627.5 | -12.7 | 44 |
| September 30, 2023 | 623.0 | -4.5 | 53 |
| December 31, 2023 | 623.0 | 0.0 | 53 |
| March 31, 2024 | 579.5 | -43.5 | 54 |
| June 30, 2024 | 657.8 | +78.3 | 67 |
| September 30, 2024 | 695.9 | +38.1 | 87 |
| December 31, 2024 | 688.5 | -7.4 | 98 |
| March 31, 2025 | 673.1 | -15.4 | 113 |
| June 30, 2025 | 663.1 | -10.0 | 121 |
| September 30, 2025 | 657.3 | -5.8 | 124 |
| December 31, 2025 | 665.9 | +8.5 | 136 |
| March 31, 2026 | 650.8 | -15.1 | 148 |
| May 25, 2026 | 650.4 | -0.4 | — |
The published Racquet Rating is the sum of five weighted model components. This is that sum, for Matteo Berrettini.
Racquet Rating 650.4. Five model components, largest contribution first: Performance Index, 257.4 points; Form Momentum, 131.3 points; Surface Balance, 107.7 points; Era Normalization, 106.0 points; Match Context, 47.9 points. Together they total 650.4 points, which reconciles with the published rating of 650.4. Component scores are 0 to 100; contributions are rating points out of 1000.
The largest contribution is Performance Index, at 257.4 of the 650.4 rating points (40%), followed by Form Momentum at 131.3 (20%). Match Context contributes least, at 47.9 (7%). The rating is computed from 158 qualifying matches over the 4-year rating window.
Performance Index
257.4
How well the player wins points and matches — serve and return points won, break points converted and saved, results against elite opponents, and the strength of the field they have faced.
It carries the most weight of any component, so it usually accounts for the largest share of a rating.
Published evidence
Form Momentum
131.3
Recent trajectory: results over a 26-week window with exponential decay, a fatigue adjustment from minutes and sets played, and an allowance for a player returning after a long absence.
It is what makes the rating a current-form measure rather than a career résumé.
Published evidence
Surface Balance
107.7
How evenly the player performs across hard, clay and grass — an entropy-like measure of the spread, with a small penalty for extreme specialisation and credit for consistency across surfaces.
It rewards a game that travels. It is a measure of balance, not of how good the player is on any one surface.
Era Normalization
106.0
An adjustment against fixed era baselines and tour-depth proxies, so players from different periods remain comparable.
It is what allows one 0–1000 scale to span the whole dataset rather than only the current season.
Match Context
47.9
How results compare with expectation once the round and the event are taken into account, so performance on bigger stages counts for more.
It carries the smallest weight of the five, so it moves a rating the least.
Performance over the headline rating window. Rates are shown only where the surface sample provides sufficient evidence.
Surface performance over the rating window: 158 matches, 158 with a recorded surface. Surfaces played: Hard, Clay, Grass. Hard, 50 wins and 37 losses, 57.5 percent, 95 percent interval 47 to 67 percent. Clay, 33 wins and 14 losses, 70.2 percent, 95 percent interval 56 to 81 percent. Grass, 18 wins and 6 losses, 75.0 percent, 95 percent interval 55 to 88 percent. These rates describe this player only and are not used to rank players.
Hard
Hard, 50 wins and 37 losses, 57.5 percent, 95 percent interval 47 to 67 percent.
Clay
Clay, 33 wins and 14 losses, 70.2 percent, 95 percent interval 56 to 81 percent.
Grass
Grass, 18 wins and 6 losses, 75.0 percent, 95 percent interval 55 to 88 percent.
These records come from the same canonical match observations as the headline Racquet Rating, over the same 158-match rating window. Nothing here is a separate rating.
A win rate appears only where a surface has at least 10 matches. Below that a single result moves the percentage by ten points or more, so the record is shown and the percentage is not.
The range beside each rate is a 95% confidence interval. It is wide on purpose: a surface record of a few dozen matches does not pin a percentage down, and the interval is the honest width of that uncertainty rather than a claim of precision.
Matches whose source records no surface are counted in the totals and assigned to no surface. They are never redistributed.
This player's record over their last 10 matches in the rating window. A record of what happened, not a prediction.
Last 10 matches: 6 wins and 4 losses, played Apr 2026 – May 2026.
Last 10 matches
The last 10 matches this player actually played, from the same canonical match data as the headline Racquet Rating. Retirements count — a match was played and a winner advanced. Walkovers do not, because no match took place.
Match dates in the source are tournament start dates, so several matches can share a date. The order is reconstructed from the tournament and the round, which is why the record is shown as a total and not as a sequence of individual results.
The dates above are the span these 10 matches cover. For a player who has not competed recently that span can be well in the past, which is why it is always shown.
Victories over the highest-ranked opponents in the published rating window, using the opponent's official rank at the time of the match.
The 5 highest-ranked opponents defeated in the published rating window, out of 101 wins over ranked opponents. Ordered by the opponent's ranking at the time of each match, best first.
Defeated Alexander Zverev, ranked number 2 at the time of the match, in April 2025 at Monte Carlo Masters · Round of 32.
Defeated Casper Ruud, ranked number 3 at the time of the match, in January 2023 at United Cup · Round robin.
Defeated Novak Djokovic, ranked number 7 at the time of the match, in February 2025 at Doha · Round of 32.
Defeated Hubert Hurkacz, ranked number 10 at the time of the match, in January 2023 at United Cup · Round robin.
Defeated Daniil Medvedev, ranked number 10 at the time of the match, in April 2026 at Monte Carlo Masters · Round of 32.
Every win this player recorded in the rating window against an opponent the source ranks, ordered by that opponent's official ranking in the week of the tournament, and limited to the 5 highest. Each opponent appears once, at that player's highest-ranked victory over them.
The ranking shown is the opponent's ranking at the time of that match, taken from the same match record as the result. It is not their ranking today, and not their career-high.
Retirements are included and marked. The match was played and a winner advanced, and it counts toward the rating this profile explains — but it was not completed, so it is not presented as though it had been.
These sections are published only once the underlying verified data exists. Nothing below is estimated or inferred in the meantime.