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# Berrettini vs Jacquet Prediction: Grand Prix Auvergne-Rhone-Alpes 2026
- URL: https://courtshark.ai/blog/berrettini-vs-jacquet-grand-prix-auvergne-rhone-alpes-2026-prediction/
- Published: 2026-10-20T12:21:15.000Z
- Updated: 2026-10-20T12:21:15.000Z
- Description: Jacquet has the stronger recent results, but Berrettini's service record helps explain why he remains the pick at the Grand Prix Auvergne-Rhone-Alpes.
- Author: Court Shark Desk
- Tags: match-preview, Matteo Berrettini, Kyrian Jacquet, Grand Prix Auvergne-Rhone-Alpes 2026, Hard, ATP, Form

In this analysis

1. [Key takeaway](#key-takeaway)
2. [Jacquet's results challenge the ranking gap](#s-jacquet-s-results-challenge-the-ranking-gap)
3. [Berrettini's serve offers a counterweight](#s-berrettini-s-serve-offers-a-counterweight)
4. [Rust and close sets could change the pick](#s-rust-and-close-sets-could-change-the-pick)
5. [The prediction](#s-the-prediction)
6. [Explore this matchup](#explore)
7. [Methodology and sources](#methodology)

Key takeaway

Jacquet's better recent results narrow the case for Berrettini, but do not overturn it. Berrettini's stronger service record keeps him the pick; Jacquet's return performance is the clearest route to an upset.

Kyrian Jacquet's recent form makes the ranking gap less persuasive, but not enough to reverse the pick in the Grand Prix Auvergne-Rhone-Alpes round of 32\. Court Shark's model gives Matteo Berrettini a 65% chance of winning.

## Jacquet's results challenge the ranking gap

[Matteo Berrettini](https://courtshark.ai/players/matteo-berrettini-126610) has the stronger ranking at No. 46\. [Kyrian Jacquet](https://courtshark.ai/players/kyrian-jacquet-208021), ranked No. 85, has the stronger recent results. Neither settles the pick alone.

Tuesday's round of 32 at the Grand Prix Auvergne-Rhone-Alpes gives Jacquet a chance to extend that run against a higher ranked opponent on hard courts. For Berrettini, it offers an opportunity to interrupt an uneven stretch. Their last 10 matches suggest the ranking gap is an incomplete guide to their current level.

Jacquet went 7-3, while Berrettini went 4-6\. Jacquet's wins included Holger Rune and Fabian Marozsan; Berrettini beat Alejandro Davidovich Fokina and Aleksandar Kovacevic but lost to Adolfo Daniel Vallejo and Brandon Nakashima. Those results make Jacquet's challenge credible, although his latest victory came through Michael Mmoh's retirement. The form advantage deserves attention without making Jacquet the automatic favorite.

### Two years of form

Article snapshot, Oct 20, 2026 · Not live

Each player's pre-match Elo rating since Oct 23, 2024\. Latest: Matteo Berrettini 1938 (Oct 9, 2026), Kyrian Jacquet 1841 (Oct 18, 2026).

__Pre-match Elo rating over the last two years__
| Player            | Start of window     | Two-year peak       | Latest              |
| ----------------- | ------------------- | ------------------- | ------------------- |
| Matteo Berrettini | 2037 (Oct 23, 2024) | 2082 (Apr 10, 2025) | 1938 (Oct 9, 2026)  |
| Kyrian Jacquet    | 1713 (Nov 13, 2024) | 1861 (Oct 4, 2026)  | 1841 (Oct 18, 2026) |

Source: Court Shark model and match data.View data table

### Recent form

Article snapshot, Oct 20, 2026 · Not live

Each player's most recent completed matches, up to 10, oldest on the left.

__Recent results by player, oldest first__
| Player            | Date         | Result | Opponent                    | Score               | Event              |
| ----------------- | ------------ | ------ | --------------------------- | ------------------- | ------------------ |
| Matteo Berrettini | Jul 4, 2026  | L      | Grigor Dimitrov             | 3-6 4-6 6-3 7-5 3-6 | Wimbledon          |
| Matteo Berrettini | Aug 3, 2026  | L      | Mariano Navone              | 3-6 7-6(5) 3-6      | Canada Masters     |
| Matteo Berrettini | Aug 14, 2026 | W      | Titouan Droguet             | 3-6 6-1 6-4         | Cincinnati Masters |
| Matteo Berrettini | Aug 15, 2026 | L      | Jiri Lehecka                | 4-6 7-6(3) 3-6      | Cincinnati Masters |
| Matteo Berrettini | Aug 31, 2026 | W      | Stan Wawrinka               | 7-6(4) 7-6(3) 6-0   | US Open            |
| Matteo Berrettini | Sep 2, 2026  | L      | Mariano Navone              | 6-3 3-6 4-6 6-7(4)  | US Open            |
| Matteo Berrettini | Oct 1, 2026  | W      | Alejandro Davidovich Fokina | 1-6 7-6(1) 6-4      | Tokyo              |
| Matteo Berrettini | Oct 3, 2026  | L      | Adolfo Daniel Vallejo       | 6-7(6) 1-6          | Tokyo              |
| Matteo Berrettini | Oct 7, 2026  | W      | Aleksandar Kovacevic        | 6-7(3) 6-1 6-4      | Shanghai Masters   |
| Matteo Berrettini | Oct 9, 2026  | L      | Brandon Nakashima           | 6-7(4) 5-7          | Shanghai Masters   |
| Kyrian Jacquet    | Sep 25, 2026 | W      | Tomas Martin Etcheverry     | 6-2 6-3             | Hangzhou           |
| Kyrian Jacquet    | Sep 27, 2026 | W      | Fabian Marozsan             | 7-6(12) 6-4         | Hangzhou           |
| Kyrian Jacquet    | Sep 28, 2026 | L      | Andrey Rublev               | 6-7(0) 1-6          | Hangzhou           |
| Kyrian Jacquet    | Oct 1, 2026  | W      | Holger Rune                 | 6-3 6-1             | Tokyo              |
| Kyrian Jacquet    | Oct 2, 2026  | W      | Luciano Darderi             | 6-3 7-6(5)          | Tokyo              |
| Kyrian Jacquet    | Oct 4, 2026  | L      | Jaume Munar                 | 4-6 2-6             | Tokyo              |
| Kyrian Jacquet    | Oct 5, 2026  | W      | Tianhui Zhang               | 6-2 7-6(1)          | Shanghai Masters   |
| Kyrian Jacquet    | Oct 6, 2026  | L      | Rei Sakamoto                | 6-7(6) 6-4 6-7(8)   | Shanghai Masters   |
| Kyrian Jacquet    | Oct 18, 2026 | W      | Sascha Gueymard Wayenburg   | 6-3 7-5             | ATP Lyon           |
| Kyrian Jacquet    | Oct 19, 2026 | W      | Michael Mmoh                | 7-6(1) 0-0 RET      | ATP Lyon           |

Source: Court Shark model and match data.View data table

## Berrettini's serve offers a counterweight

The service records complicate a pick based on recent wins alone: Berrettini held 87% of his service games on hard courts, compared with Jacquet's 84%. That is Berrettini's clearest statistical advantage. It gives him a plausible way to keep sets close even when his overall results have been less consistent.

Jacquet had the stronger return record, breaking in 23% of return games against Berrettini's 15%. My reading is that Jacquet has the more convincing route to creating repeated opportunities, while Berrettini's case depends more heavily on protecting serve. A higher hold rate does not erase the difference in recent results.

These figures cover the last 52 weeks on hard courts, rather than only the players' latest tournament appearances. They support a narrower conclusion than the rankings alone: Berrettini retains a service advantage, but Jacquet's return record gives substance to his better form.

## Rust and close sets could change the pick

Berrettini had gone 11 days without a match, while Jacquet had played one day before this meeting. That creates a specific risk for the favorite: an uncertain start could expose the weaker return record before his service advantage begins to matter. Jacquet arrives with more immediate match practice.

Close sets offer another route. Jacquet won 57 of his 95 career tiebreaks, so a match dominated by service holds would not automatically favor Berrettini. That career record is relevant to the possibility of tight sets, though it does not establish how Jacquet will handle this particular opponent.

They had never met before. There is no direct result to show whether Jacquet can consistently threaten Berrettini's serve, which is the central test of the upset case. Mmoh's retirement also limits what Jacquet's latest win establishes about his ability to sustain his level through a full match.

## The prediction

Court Shark's model favors Berrettini with a 65% win probability, while the market consensus gives him 56%. Both favor the higher-ranked player. Jacquet's recent form is a useful corrective to the ranking gap, but the evidence does not make it a better standalone guide to the winner.

Court Shark's AI analyst, which reads the matchup without the market, also picks Berrettini, agreeing with the model. His stronger service record supplies a concrete reason to retain him as the favorite despite Jacquet's better results. The model's median total is 23 games, which leaves room for competitive sets rather than suggesting a comfortable passage.

The forecast's middle half runs from 20 to 30 games, with a straight-sets Berrettini win the likeliest single result. That is a range, not an exact total. Jacquet's return chances are the point to watch: if Berrettini cannot protect serve, his recent losses become a more relevant guide than his ranking.

### How long it could go

Article snapshot, Oct 20, 2026 · Not live

A 52% chance the match lasts 20 to 30 games; 23 is the middle of the range.

__Chance of each total number of games in the match__
| Total games | Chance |
| ----------- | ------ |
| 14          | 0.4%   |
| 15          | 1.3%   |
| 16          | 2.3%   |
| 17          | 4.8%   |
| 18          | 5.9%   |
| 19          | 8.0%   |
| 20          | 7.9%   |
| 21          | 5.1%   |
| 22          | 9.8%   |
| 23          | 8.3%   |
| 24          | 0.7%   |
| 25          | 3.3%   |
| 26          | 6.1%   |
| 27          | 2.1%   |
| 28          | 2.8%   |
| 29          | 3.0%   |
| 30          | 3.2%   |
| 31          | 4.5%   |
| 32          | 5.0%   |
| 33          | 3.2%   |
| 34          | 2.3%   |
| 35          | 4.1%   |
| 36          | 3.1%   |
| 37          | 0.3%   |
| 38          | 1.0%   |
| 39          | 1.4%   |

Source: Court Shark model and match data.View data table

## Explore this matchup

Compare both players side by side: recent results, surfaces, serve and return.

### Player comparison

Article snapshot, Oct 20, 2026 · Not live

Each measure on the same scale: recent wins, wins on this surface, head-to-head wins and the model's chance.

__Player comparison__
| Measure               | Matteo Berrettini | Kyrian Jacquet |
| --------------------- | ----------------- | -------------- |
| Wins, last 10 matches | 40% (4-6)         | 70% (7-3)      |
| Wins, last 10 on hard | 40% (4-6)         | 70% (7-3)      |
| Model win probability | 65%               | 35%            |

Source: Court Shark model and match data.View data table

### Win rate by surface

Article snapshot, Oct 20, 2026 · Not live

Share of matches won on each surface across each player's last 50 matches with full statistics.

__Win rate by surface__
| Surface | Matteo Berrettini   | Kyrian Jacquet |
| ------- | ------------------- | -------------- |
| Hard    | 50% (13-13)         | 65% (22-12)    |
| Clay    | 45% (9-11)          | 44% (4-5)      |
| Grass   | Too few matches (4) | 57% (4-3)      |

Source: Court Shark model and match data.View data table

### Serve and return on hard courts

Article snapshot, Oct 20, 2026 · Not live

How often each player held serve and broke serve on hard over their last 50 matches with full statistics, against the tour's all-years average on the surface.

__Hold and break rates on hard__
| Measure             | Matteo Berrettini | Kyrian Jacquet | Tour average, all years |
| ------------------- | ----------------- | -------------- | ----------------------- |
| Service games held  | 87%               | 83%            | 77%                     |
| Return games broken | 14%               | 24%            | 23%                     |
| Matches in sample   | 26                | 34             |                         |

Source: Court Shark model and match data.View data table

### Model and market on Matteo Berrettini

Article snapshot, Oct 20, 2026 · Not live

Matteo Berrettini's chance as the market consensus priced it from the opening line, next to the Court Shark model.

__Matteo Berrettini's chance to win__
| Reading           | Matteo Berrettini | Kyrian Jacquet |
| ----------------- | ----------------- | -------------- |
| Opening consensus | 56%               | 44%            |
| Latest consensus  | 56%               | 44%            |
| Court Shark model | 65%               | 35%            |

Source: Court Shark model and pre-match market consensus.View data table

### Model win probability

Article snapshot, Oct 20, 2026 · Not live

The Court Shark model's chance for each player to win this match.

__Model win probability by player__
| Player            | Win probability | Recent form (last 10) |
| ----------------- | --------------- | --------------------- |
| Matteo Berrettini | 65%             | 4-6                   |
| Kyrian Jacquet    | 35%             | 7-3                   |

Source: Court Shark model and match data.View data table

### Ways to win

Article snapshot, Oct 20, 2026 · Not live

Every way the match can finish. The likeliest single result is Matteo Berrettini in straight sets (43%).

__Chance of each final set score__
| Result                     | Chance |
| -------------------------- | ------ |
| Matteo Berrettini wins 2-0 | 43%    |
| Matteo Berrettini wins 2-1 | 22%    |
| Kyrian Jacquet wins 2-1    | 16%    |
| Kyrian Jacquet wins 2-0    | 19%    |

Source: Court Shark model and match data.View data table

### Service games held: where they stand

Article snapshot, Oct 20, 2026 · Not live

Each dot is one of the ATP top 100 with enough matches in the last 52 weeks. Matteo Berrettini is 18th of 94; Kyrian Jacquet is 45th of 94.

__Service games held, last 52 weeks, against the ATP top 100__
| Player                     | Service games held | Place      |
| -------------------------- | ------------------ | ---------- |
| Matteo Berrettini          | 85.9%              | 18th of 94 |
| Kyrian Jacquet             | 82.0%              | 45th of 94 |
| Field median               | 81.8%              |            |
| Field best (Jannik Sinner) | 94.6%              | 1st        |

Source: Court Shark model and match data.View data table

[Explore this matchup](https://courtshark.ai/h2h?p1=126610&p2=208021)

Court Shark win probabilities are statistical estimates, not advice. No outcome is guaranteed.

Our forecast

Court Shark's model

Matteo Berrettini 65% to win

Match shape

Matteo Berrettini in straight sets: 43%

Deciding set: 38%

Total games: median 23, middle half 20 to 30

AI analyst

Picks Matteo Berrettini (agrees with the model)

Its case: Berrettini gets a narrow nod because his hard-court serve has held 87.1% of the time, with 77.8% first-serve points won and a 12.9% ace rate, while his recent schedule has included far more top-50 opposition than Jacquet’s.

The risk it names: The major risk is Jacquet’s sharper hard-court run, 7 wins in his latest 10, versus Berrettini’s 4, and the Frenchman is coming off two wins in the past 2 days while Berrettini has had 11 days away from match play.

Estimates recorded before play, not certainties.

Keep exploring

[See the profile of Matteo Berrettini](https://courtshark.ai/players/matteo-berrettini-126610)[Create a free account to keep it](https://courtshark.ai/register?redirect=%2Fplayers%2Fmatteo-berrettini-126610)

Match context

Players

Matteo Berrettini  
vs Kyrian Jacquet

Event

Grand Prix Auvergne-Rhone-Alpes

Surface

Hard

Round

Round of 32

Date

Tuesday, October 20

Article snapshot · Not live

Continue your research

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Related on Court Shark

- [How our match model works](https://courtshark.ai/blog/methodology/)
- [Open the full head-to-head](https://courtshark.ai/h2h?p1=126610&p2=208021)
- [Our editorial standards](https://courtshark.ai/blog/editorial-standards/)
- [About the desk](https://courtshark.ai/blog/about-the-desk/)

## Methodology and sources

How we build model estimates and where our information comes from.

Model estimates and observed results

The win probabilities come from the Court Shark match model, trained on completed ATP and WTA matches. A probability says how often a player in this position wins, not that one result will happen. The model's number for a match is recorded before play and never changed afterwards, so it can be checked against the result.

Sources and citations

Results, scores, rankings and serve statistics come from the Court Shark match database. The market consensus is the pre-match price for each player converted to a probability. Figures in this article are a snapshot taken when it was written.

Limitations

Serve and return rates count only matches with full serve statistics, which are sparser for Challenger and lower-level events, and the tour average they are compared with covers every year on record. Head-to-head records count every meeting with a recorded winner, walkovers and retirements included. Charts and tables are a snapshot and do not update after publication.

About the desk

Who works on the Tennis Desk and how an article is put together. [Read about the desk](https://courtshark.ai/blog/about-the-desk/)

Editorial standards

What we publish, what we check and how we decide what is fit to print. [Read our standards](https://courtshark.ai/blog/editorial-standards/)

Corrections

Spotted an error? Write to hello@courtshark.ai and we will correct it and note the change. [Read the corrections policy](https://courtshark.ai/blog/editorial-standards/)