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# Van De Zandschulp vs Chidekh Prediction: BNP Paribas Fortis European 2026
- URL: https://courtshark.ai/blog/van-de-zandschulp-vs-chidekh-bnp-paribas-fortis-european-open-2026-prediction/
- Published: 2026-10-19T18:49:37.000Z
- Updated: 2026-10-19T18:49:37.000Z
- Description: Van De Zandschulp's established level separates him from Chidekh, whose stronger recent form and return record complicate the prediction in Brussels.
- Author: Court Shark Desk
- Tags: match-preview, Botic Van De Zandschulp, Clement Chidekh, BNP Paribas Fortis European Open 2026, Hard, ATP

In this analysis

1. [Key takeaway](#key-takeaway)
2. [The ranking gap is the clearest separator](#s-the-ranking-gap-is-the-clearest-separator)
3. [Chidekh has the better recent record](#s-chidekh-has-the-better-recent-record)
4. [Chidekh's return could disrupt the favorite](#s-chidekh-s-return-could-disrupt-the-favorite)
5. [The prediction](#s-the-prediction)
6. [Explore this matchup](#explore)
7. [Methodology and sources](#methodology)

Key takeaway

Van De Zandschulp's higher established level makes him the pick, but Chidekh's better recent record and stronger return numbers argue against expecting an easy win.

Botic Van De Zandschulp's higher established level is the clearest separator against Clement Chidekh in the BNP Paribas Fortis European Open round of 32\. Court Shark's model gives Van De Zandschulp a 62% chance despite Chidekh's stronger recent record.

## The ranking gap is the clearest separator

The rankings put [Botic Van De Zandschulp](https://courtshark.ai/players/botic-van-de-zandschulp-122298) at No. 41, ahead of No. 146 [Clement Chidekh](https://courtshark.ai/players/clement-chidekh-206889). That difference in established standing is the strongest reason to favor the Dutchman, rather than a recent winning record that actually favors his opponent. The distinction matters here.

Tuesday's meeting in Brussels brings them together in the BNP Paribas Fortis European Open round of 32, with Chidekh arriving on a winning run. Van De Zandschulp arrives after a Shanghai run that included wins over Alex Michelsen and Arthur Fils before defeat against Rafael Jodar. For Chidekh, this meeting offers a chance to carry his recent success into a match against a substantially higher-ranked opponent.

The longer rating record supports that interpretation: Van De Zandschulp's latest Elo stood at 1972, compared with Chidekh's 1807\. Both reached their highest ratings within the displayed period, so the separation persisted even as Chidekh improved.

### Ways to win

Article snapshot, Oct 19, 2026 · Not live

Every way the match can finish. The likeliest single result is Botic Van De Zandschulp in straight sets (40%).

__Chance of each final set score__
| Result                           | Chance |
| -------------------------------- | ------ |
| Botic Van De Zandschulp wins 2-0 | 40%    |
| Botic Van De Zandschulp wins 2-1 | 22%    |
| Clement Chidekh wins 2-1         | 17%    |
| Clement Chidekh wins 2-0         | 21%    |

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

### Two years of form

Article snapshot, Oct 19, 2026 · Not live

Each player's pre-match Elo rating since Oct 20, 2024\. Latest: Botic Van De Zandschulp 1972 (Oct 14, 2026), Clement Chidekh 1807 (Oct 14, 2026).

__Pre-match Elo rating over the last two years__
| Player                  | Start of window     | Two-year peak       | Latest              |
| ----------------------- | ------------------- | ------------------- | ------------------- |
| Botic Van De Zandschulp | 1848 (Oct 20, 2024) | 1972 (Oct 14, 2026) | 1972 (Oct 14, 2026) |
| Clement Chidekh         | 1581 (Jan 6, 2025)  | 1807 (Oct 14, 2026) | 1807 (Oct 14, 2026) |

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

## Chidekh has the better recent record

Chidekh went 8-2 across his latest matches, while Van De Zandschulp went 6-4 over the corresponding span. Their recent hard-court records matched those overall totals, so restricting the comparison to this surface does not reverse Chidekh's advantage. Form favors the underdog.

The setting of those wins complicates a direct comparison, however, because Chidekh's recent schedule featured Challenger events before his latest appearances in Brussels. Van De Zandschulp's included Beijing and Shanghai. Those records establish who won more often, but they do not establish that the opposition was equally demanding.

There is also a practical distinction between arriving after a loss and arriving without useful recent results. Van De Zandschulp had won three consecutive matches before his Shanghai exit. Chidekh brings the stronger overall sequence, but the favorite's preparation included several wins of his own rather than an extended run of defeats.

### Recent form

Article snapshot, Oct 19, 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                        |
| ----------------------- | ------------ | ------ | ----------------------------------- | --------------- | ---------------------------- |
| Botic Van De Zandschulp | Sep 9, 2026  | L      | Alexander Zverev                    | 2-6 5-7 1-6     | US Open                      |
| Botic Van De Zandschulp | Sep 18, 2026 | W      | Johan Alexander Rodriguez Rodriguez | 4-6 6-1 7-5     | Davis Cup WG1 R1: NED vs COL |
| Botic Van De Zandschulp | Sep 25, 2026 | L      | Nikoloz Basilashvili                | 4-6 5-7         | Chengdu                      |
| Botic Van De Zandschulp | Sep 29, 2026 | W      | Jie Cui                             | 6-4 6-4         | Beijing                      |
| Botic Van De Zandschulp | Sep 30, 2026 | W      | Valentin Royer                      | 4-6 6-2 6-4     | Beijing                      |
| Botic Van De Zandschulp | Oct 1, 2026  | L      | Francisco Cerundolo                 | 7-5 4-6 3-6     | Beijing                      |
| Botic Van De Zandschulp | Oct 8, 2026  | W      | Daniel Merida Aguilar               | 1-6 6-3 6-4     | ATP Shanghai                 |
| Botic Van De Zandschulp | Oct 10, 2026 | W      | Alex Michelsen                      | 6-4 6-4         | ATP Shanghai                 |
| Botic Van De Zandschulp | Oct 12, 2026 | W      | Arthur Fils                         | 7-5 6-4         | ATP Shanghai                 |
| Botic Van De Zandschulp | Oct 14, 2026 | L      | Rafael Jodar                        | 7-6(4) 4-6 2-6  | ATP Shanghai                 |
| Clement Chidekh         | Sep 16, 2026 | W      | Lucas Poullain                      | 6-3 6-4         | Rennes CH                    |
| Clement Chidekh         | Sep 18, 2026 | L      | Harold Mayot                        | 4-6 4-6         | Rennes CH                    |
| Clement Chidekh         | Sep 29, 2026 | W      | David Goffin                        | 6-1 6-0         | Mouilleron le Captif CH      |
| Clement Chidekh         | Oct 1, 2026  | W      | Ugo Blanchet                        | 6-4 3-6 6-2     | Mouilleron le Captif CH      |
| Clement Chidekh         | Oct 2, 2026  | W      | Harold Mayot                        | 3-6 6-2 2-0 RET | Mouilleron le Captif CH      |
| Clement Chidekh         | Oct 3, 2026  | W      | Henry Bernet                        | 6-2 6-4         | Mouilleron le Captif CH      |
| Clement Chidekh         | Oct 4, 2026  | W      | Sascha Gueymard Wayenburg           | 6-2 6-0         | Mouilleron le Captif CH      |
| Clement Chidekh         | Oct 14, 2026 | L      | Jerome Kym                          | 6-7(6) 6-7(3)   | Roanne Challenger            |
| Clement Chidekh         | Oct 17, 2026 | W      | Gilles Arnaud Bailly                | 6-1 6-3         | ATP Brussels                 |
| Clement Chidekh         | Oct 18, 2026 | W      | Gauthier Onclin                     | 6-2 7-6(3)      | ATP Brussels                 |

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

## Chidekh's return could disrupt the favorite

Chidekh's return record offers a concrete route to an upset: he broke in 32% of return games on hard courts over the past year. Van De Zandschulp broke in 20%. If that difference carries into this meeting, the favorite may have less room to recover from a poor service game.

Serve points the other way. Van De Zandschulp held in 83% of service games during that window, against Chidekh's 78%, giving the Dutchman a plausible means of containing the return threat. The match could turn on which of those contrasting strengths survives direct opposition.

Those figures covered 40 matches for Van De Zandschulp and 61 for Chidekh, rather than measuring how either performed against this particular opponent. Chidekh's superior return percentage is therefore a reason to resist a comfortable forecast, not proof that he will regularly break the Dutchman's serve. An early failure by Van De Zandschulp to protect serve would challenge the central case for him.

## The prediction

Court Shark's model favors Van De Zandschulp with a 62% win probability, while the market gives him 60%. Both favor the Dutchman without making him an overwhelming choice. Court Shark's AI analyst, which reads the matchup without the market, also picks Van De Zandschulp and agrees with the model. His stronger standing and service record support that selection.

A short match isn't assured. Court Shark's scoreline forecast makes a straight-sets win for Van De Zandschulp the likeliest single result, rather than a dominant expectation across all possible finishes. The forecast's median total is 22 games.

Its middle half runs from 18 to 28 games, leaving room for either competitive straight sets or a deciding set rather than predicting an exact total. Chidekh's ability to force return opportunities against the stronger recent holder is the specific test to watch.

### How long it could go

Article snapshot, Oct 19, 2026 · Not live

A 57% chance the match lasts 18 to 28 games; 22 is the middle of the range.

__Chance of each total number of games in the match__
| Total games | Chance |
| ----------- | ------ |
| 13          | 0.7%   |
| 14          | 1.8%   |
| 15          | 3.7%   |
| 16          | 5.8%   |
| 17          | 7.9%   |
| 18          | 8.2%   |
| 19          | 8.0%   |
| 20          | 7.2%   |
| 21          | 5.2%   |
| 22          | 6.5%   |
| 23          | 4.4%   |
| 24          | 1.9%   |
| 25          | 3.7%   |
| 26          | 4.2%   |
| 27          | 3.7%   |
| 28          | 4.1%   |
| 29          | 4.3%   |
| 30          | 4.1%   |
| 31          | 4.0%   |
| 32          | 3.5%   |
| 33          | 2.2%   |
| 34          | 1.6%   |
| 35          | 1.7%   |
| 36          | 0.8%   |
| 37          | 0.2%   |
| 38          | 0.3%   |

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 19, 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               | Botic Van De Zandschulp | Clement Chidekh |
| --------------------- | ----------------------- | --------------- |
| Wins, last 10 matches | 60% (6-4)               | 80% (8-2)       |
| Wins, last 10 on hard | 60% (6-4)               | 80% (8-2)       |
| Model win probability | 62%                     | 38%             |

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

### Win rate by surface

Article snapshot, Oct 19, 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 | Botic Van De Zandschulp | Clement Chidekh     |
| ------- | ----------------------- | ------------------- |
| Hard    | 59% (19-13)             | 65% (24-13)         |
| Clay    | 54% (7-6)               | Too few matches (3) |
| Grass   | 40% (2-3)               | 60% (6-4)           |

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

### Serve and return on hard courts

Article snapshot, Oct 19, 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             | Botic Van De Zandschulp | Clement Chidekh | Tour average, all years |
| ------------------- | ----------------------- | --------------- | ----------------------- |
| Service games held  | 82%                     | 79%             | 77%                     |
| Return games broken | 21%                     | 34%             | 23%                     |
| Matches in sample   | 32                      | 37              |                         |

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

### Model and market on Botic Van De Zandschulp

Article snapshot, Oct 19, 2026 · Not live

Botic Van De Zandschulp's chance as the market consensus priced it from the opening line, next to the Court Shark model.

__Botic Van De Zandschulp's chance to win__
| Reading           | Botic Van De Zandschulp | Clement Chidekh |
| ----------------- | ----------------------- | --------------- |
| Opening consensus | 68%                     | 32%             |
| Latest consensus  | 60%                     | 40%             |
| Court Shark model | 62%                     | 38%             |

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

### Model win probability

Article snapshot, Oct 19, 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) |
| ----------------------- | --------------- | --------------------- |
| Botic Van De Zandschulp | 62%             | 6-4                   |
| Clement Chidekh         | 38%             | 8-2                   |

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

[Explore this matchup](https://courtshark.ai/h2h?p1=122298&p2=206889)

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

Our forecast

Court Shark's model

Botic Van De Zandschulp 62% to win

Match shape

Botic Van De Zandschulp in straight sets: 40%

Deciding set: 39%

Total games: median 22, middle half 18 to 28

AI analyst

Picks Botic Van De Zandschulp (agrees with the model)

Its case: Van De Zandschulp gets the nod on Antwerp’s fast indoor hard court: he has won 72.8% of first-serve points and held 78.8% of the time on hard courts, while his recent opposition has had a median rank of 72 versus 326 for Chidekh.

The risk it names: The risk is Chidekh’s excellent 8-2 recent hard-court run and fresher two-match winning streak, but he arrives after 295 minutes across 3 matches in the past week and has not faced the same level of opposition.

Estimates recorded before play, not certainties.

Keep exploring

[Open the full head-to-head](https://courtshark.ai/h2h?p1=122298&p2=206889)[Create a free account to keep it](https://courtshark.ai/register?redirect=%2Fh2h%3Fp1%3D122298%26p2%3D206889)

Match context

Players

Botic Van De Zandschulp  
vs Clement Chidekh

Event

BNP Paribas Fortis European Open

Surface

Hard

Round

Round of 32

Date

Tuesday, October 20

Article snapshot · Not live

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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/)