> ## Content Index
> Fetch the complete content index at: https://courtshark.ai/blog/llms.txt
> Use this file to discover other available public pages before exploring further.

# Nakashima vs Jacquet Prediction: Grand Prix Auvergne-Rhone-Alpes 2026
- URL: https://courtshark.ai/blog/nakashima-vs-jacquet-grand-prix-auvergne-rhone-alpes-2026-prediction/
- Published: 2026-10-21T15:40:26.000Z
- Updated: 2026-10-21T15:40:26.000Z
- Description: Nakashima's ranking is the clearest separator in Lyon, but Jacquet's recent results and stronger return record complicate the favorite's case.
- Author: Court Shark Desk
- Tags: match-preview, Kyrian Jacquet, Brandon Nakashima, Grand Prix Auvergne-Rhone-Alpes 2026, Hard, ATP

In this analysis

1. [Key takeaway](#key-takeaway)
2. [Ranking separates them more than recent form](#s-ranking-separates-them-more-than-recent-form)
3. [Jacquet's recent results complicate the ranking gap](#s-jacquet-s-recent-results-complicate-the-ranking-gap)
4. [Jacquet's return offers a route to an upset](#s-jacquet-s-return-offers-a-route-to-an-upset)
5. [The prediction](#s-the-prediction)
6. [Explore this matchup](#explore)
7. [Methodology and sources](#methodology)

Key takeaway

Nakashima's higher ranking is the strongest separator, supported by better serve protection. Jacquet's recent form and stronger return record keep the matchup competitive.

Brandon Nakashima's higher ranking is the clearest separator against Kyrian Jacquet in the Grand Prix Auvergne-Rhone-Alpes round of 16\. Court Shark's model gives Nakashima a 65% chance, despite Jacquet's stronger recent record.

## Ranking separates them more than recent form

No. 19 in the rankings, [Brandon Nakashima](https://courtshark.ai/players/brandon-nakashima-206909) enters well above No. 85 [Kyrian Jacquet](https://courtshark.ai/players/kyrian-jacquet-208021). That standing is the clearest single distinction between players whose immediate results offer a much closer comparison. The ranking gap matters most. It points toward Nakashima without requiring an argument that he has been winning more often lately.

Their Thursday meeting in Lyon offers a quarterfinal place at the Grand Prix Auvergne-Rhone-Alpes. For Jacquet, it is a chance to extend a three-match winning run against a substantially higher ranked opponent on hard courts. Nakashima enters after winning his opening match, with his position in the rankings providing a stronger argument than his recent win total.

Rank is a measure of standing, not a description of how this particular matchup will unfold. The supporting tennis numbers are mixed enough that Nakashima's advantage needs to be distinguished from dominance.

### Ways to win

Article snapshot, Oct 21, 2026 · Not live

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

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

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

## Jacquet's recent results complicate the ranking gap

Jacquet went 7-3 in his latest matches, while Nakashima went 6-4 over the corresponding recent sample. Their recent hard-court records matched those overall records, so changing the focus to this surface does not reverse that comparison. Recent form favors Jacquet. It is the strongest reason to resist treating their rankings as a complete forecast.

Nakashima nevertheless held 89% of his service games on hard courts in the latest annual window, compared with Jacquet's 84%. That gives his higher standing a concrete matchup argument: his serve has more often protected him from losing games on this surface.

Both players had played three matches in the previous fortnight and had the same interval since their latest appearance. There is no obvious separation in those scheduling measures, leaving serve protection as a more useful supporting distinction than rest or recent activity.

## Jacquet's return offers a route to an upset

Jacquet won 23% of his return games on hard courts in that window, while Nakashima won 16%. The return comparison runs against the favorite. If Jacquet protects his own service games, Nakashima's lower break rate could make it difficult to create separation before a set reaches its closing games.

Tiebreaks offer another possible complication for Nakashima, rather than an automatic extension of his stronger service record. Jacquet won 58 of 96 career tiebreaks. Those results give him a credible route through close sets, although a career record cannot establish how he will handle this particular opponent.

They had never met before. There is therefore no direct result showing whether Jacquet's return can disrupt Nakashima's serve, which is the specific contest most likely to test the ranking-based preference. An upset becomes more plausible if Jacquet keeps the serving contest close and makes his return advantage count.

## The prediction

Court Shark's model favors Nakashima with a 65% win probability, while the market consensus gives him 64%. The estimates are closely aligned. Neither makes him an overwhelming favorite, which fits a matchup where the ranking advantage and stronger service record face meaningful resistance from Jacquet's recent results.

Court Shark's AI analyst, which reads the matchup without the market, also picks Nakashima and agrees with the model. His higher standing and better serve protection provide the clearest case for that selection, rather than any claim of superior immediate form. The scoreline forecast has a median total of 23 games.

The middle half of forecast outcomes spans 20 to 30 games, leaving room for competitive sets rather than requiring a short match. Nakashima in straight sets is the likeliest single result. Jacquet's higher return-game success is the specific obstacle to Nakashima carrying his service advantage through both sets.

### How long it could go

Article snapshot, Oct 21, 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          | 0.5%   |
| 15          | 1.5%   |
| 16          | 2.7%   |
| 17          | 5.4%   |
| 18          | 6.3%   |
| 19          | 8.2%   |
| 20          | 7.9%   |
| 21          | 5.2%   |
| 22          | 9.3%   |
| 23          | 7.7%   |
| 24          | 0.8%   |
| 25          | 3.3%   |
| 26          | 5.5%   |
| 27          | 2.3%   |
| 28          | 3.0%   |
| 29          | 3.3%   |
| 30          | 3.4%   |
| 31          | 4.5%   |
| 32          | 4.9%   |
| 33          | 3.1%   |
| 34          | 2.3%   |
| 35          | 3.7%   |
| 36          | 2.7%   |
| 37          | 0.3%   |
| 38          | 0.9%   |
| 39          | 1.1%   |

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 21, 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               | Kyrian Jacquet | Brandon Nakashima |
| --------------------- | -------------- | ----------------- |
| Wins, last 10 matches | 70% (7-3)      | 60% (6-4)         |
| Wins, last 10 on hard | 70% (7-3)      | 60% (6-4)         |
| Model win probability | 35%            | 65%               |

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

### Recent form

Article snapshot, Oct 21, 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                           |
| ----------------- | ------------ | ------ | ------------------------- | ----------------- | ------------------------------- |
| 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                        |
| Kyrian Jacquet    | Oct 20, 2026 | W      | Matteo Berrettini         | 7-6(4) 7-5        | Grand Prix Auvergne-Rhone-Alpes |
| Brandon Nakashima | Aug 19, 2026 | W      | Nuno Borges               | 6-3 6-7(5) 6-3    | Cincinnati Masters              |
| Brandon Nakashima | Aug 21, 2026 | W      | Taylor Fritz              | 7-6(9) 4-6 6-3    | Cincinnati Masters              |
| Brandon Nakashima | Aug 22, 2026 | L      | Frances Tiafoe            | 5-7 3-6           | Cincinnati Masters              |
| Brandon Nakashima | Aug 31, 2026 | W      | Sebastian Baez            | 6-2 6-1 6-0       | US Open                         |
| Brandon Nakashima | Sep 2, 2026  | L      | Alex Michelsen            | 3-6 4-6 4-6       | US Open                         |
| Brandon Nakashima | Sep 25, 2026 | W      | Jakub Mensik              | 6-1 3-6 \[10-7\]  | Laver Cup                       |
| Brandon Nakashima | Oct 1, 2026  | L      | Ugo Humbert               | 3-6 2-6           | Tokyo                           |
| Brandon Nakashima | Oct 9, 2026  | W      | Matteo Berrettini         | 7-6(4) 7-5        | Shanghai Masters                |
| Brandon Nakashima | Oct 11, 2026 | L      | Alexander Bublik          | 7-6(7) 3-6 6-7(5) | Shanghai Masters                |
| Brandon Nakashima | Oct 20, 2026 | W      | Hamad Medjedovic          | 7-6(4) 6-7(4) 6-2 | Grand Prix Auvergne-Rhone-Alpes |

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

### Win rate by surface

Article snapshot, Oct 21, 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 | Kyrian Jacquet | Brandon Nakashima |
| ------- | -------------- | ----------------- |
| Hard    | 65% (22-12)    | 65% (24-13)       |
| Clay    | 44% (4-5)      | 43% (3-4)         |
| Grass   | 57% (4-3)      | 67% (4-2)         |

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

### Serve and return on hard courts

Article snapshot, Oct 21, 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             | Kyrian Jacquet | Brandon Nakashima | Tour average, all years |
| ------------------- | -------------- | ----------------- | ----------------------- |
| Service games held  | 83%            | 89%               | 77%                     |
| Return games broken | 23%            | 17%               | 23%                     |
| Matches in sample   | 34             | 37                |                         |

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

### Model and market on Kyrian Jacquet

Article snapshot, Oct 21, 2026 · Not live

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

__Kyrian Jacquet's chance to win__
| Reading           | Kyrian Jacquet | Brandon Nakashima |
| ----------------- | -------------- | ----------------- |
| Opening consensus | 34%            | 66%               |
| Latest consensus  | 36%            | 64%               |
| Court Shark model | 35%            | 65%               |

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

### Model win probability

Article snapshot, Oct 21, 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) |
| ----------------- | --------------- | --------------------- |
| Kyrian Jacquet    | 35%             | 7-3                   |
| Brandon Nakashima | 65%             | 6-4                   |

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

### Service games held: where they stand

Article snapshot, Oct 21, 2026 · Not live

Each dot is one of the ATP top 100 with enough matches in the last 52 weeks. Kyrian Jacquet is 42nd of 94; Brandon Nakashima is 12th of 94.

__Service games held, last 52 weeks, against the ATP top 100__
| Player                     | Service games held | Place      |
| -------------------------- | ------------------ | ---------- |
| Kyrian Jacquet             | 82.0%              | 42nd of 94 |
| Brandon Nakashima          | 87.4%              | 12th of 94 |
| Field median               | 81.7%              |            |
| Field best (Jannik Sinner) | 94.6%              | 1st        |

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

### Two years of form

Article snapshot, Oct 21, 2026 · Not live

Each player's pre-match Elo rating since Oct 23, 2024\. Latest: Brandon Nakashima 2036 (Oct 11, 2026), Kyrian Jacquet 1841 (Oct 18, 2026).

__Pre-match Elo rating over the last two years__
| Player            | Start of window     | Two-year peak       | Latest              |
| ----------------- | ------------------- | ------------------- | ------------------- |
| Kyrian Jacquet    | 1713 (Nov 13, 2024) | 1861 (Oct 4, 2026)  | 1841 (Oct 18, 2026) |
| Brandon Nakashima | 1948 (Oct 23, 2024) | 2051 (Aug 22, 2026) | 2036 (Oct 11, 2026) |

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

[Explore this matchup](https://courtshark.ai/h2h?p1=206909&p2=208021)

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

Our forecast

Court Shark's model

Brandon Nakashima 65% to win

Match shape

Brandon Nakashima in straight sets: 43%

Deciding set: 38%

Total games: median 23, middle half 20 to 30

AI analyst

Picks Brandon Nakashima (agrees with the model)

Its case: Nakashima gets the edge on hard courts: he has held serve at 87.1% versus Jacquet’s 77.3%, won 76.3% of first-serve points versus 71.2%, and his recent results were earned with 51% of opponents ranked in the top 50 compared with 7% for Jacquet.

The risk it names: The risk is Jacquet’s current 3-match winning run and 7-3 recent hard-court record, including yesterday’s 7-6(4) 7-5 win over Berrettini, the identical scoreline Nakashima posted against Berrettini on October 9.

Estimates recorded before play, not certainties.

Keep exploring

[Open the full head-to-head](https://courtshark.ai/h2h?p1=206909&p2=208021)[Create a free account to keep it](https://courtshark.ai/register?redirect=%2Fh2h%3Fp1%3D206909%26p2%3D208021)

Match context

Players

Kyrian Jacquet  
vs Brandon Nakashima

Event

Grand Prix Auvergne-Rhone-Alpes

Surface

Hard

Round

Round of 16

Date

Thursday, October 22

Article snapshot · Not live

Continue your research

Compare form, explore surfaces and follow live match context.

[Explore Premium](https://courtshark.ai/register?redirect=/start-premium)[See what's included](https://courtshark.ai/premium)
- Advanced filters and splits
- Save your research
- Live context and updates

Related on Court Shark

- [How our match model works](https://courtshark.ai/blog/methodology/)
- [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/)