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Lehecka vs Collignon Prediction: BNP Paribas Fortis European Open 2026

Lehecka's stronger recent results are the clearest separator against Collignon, with his hard-court serving record supporting the favorite's case.

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Raphael Collignon faces Jiri Lehecka in the round of 16 at the BNP Paribas Fortis European Open. Lehecka's stronger recent form is the clearest separator, with Court Shark's model giving him a 74% chance to win.

Recent results favor Lehecka in Brussels

A 7-3 record in his latest matches gives Jiri Lehecka the clearer form advantage over Raphael Collignon, whose record was 4-6. That difference provides a stronger basis for favoring Lehecka than the limited history between the players, which offers little evidence of a lasting matchup advantage. Recent results favor Lehecka.

Thursday's match at the BNP Paribas Fortis European Open brings Collignon into the round of 16 in his home country against a higher-ranked opponent. Collignon arrived after a win over Nishesh Basavareddy, while Lehecka's most recent match ended in defeat against Rafael Jodar. Those latest results point in the opposite direction from their broader form. For Collignon, the immediate task is to build on his latest win against an opponent whose recent record had been considerably stronger.

Ways to win

Article snapshot, Oct 22, 2026 · Not live

Every way the match can finish. The likeliest single result is Jiri Lehecka in straight sets (52%).

Chance of each final set score
ResultChance
Raphael Collignon wins 2-013%
Raphael Collignon wins 2-113%
Jiri Lehecka wins 2-122%
Jiri Lehecka wins 2-052%
Source: Court Shark model and match data.

Recent form

Article snapshot, Oct 22, 2026 · Not live

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

Recent results by player, oldest first
PlayerDateResultOpponentScoreEvent
Raphael CollignonJul 15, 2026WLorenzo Sonego7-6(2) 7-6(5)Gstaad
Raphael CollignonJul 17, 2026WValentin Vacherot7-6(7) 4-6 7-5Gstaad
Raphael CollignonJul 18, 2026WJuan Manuel Cerundolo1-6 7-6(5) 7-5Gstaad
Raphael CollignonJul 19, 2026LStefanos Tsitsipas4-6 7-6(3) 3-6Gstaad
Raphael CollignonJul 21, 2026LDaniel Altmaier3-6 2-6Kitzbuhel
Raphael CollignonAug 5, 2026LAlexei Popyrin4-6 3-6Canada Masters
Raphael CollignonAug 13, 2026LMariano Navone3-6 6-7(3)Cincinnati Masters
Raphael CollignonAug 25, 2026LRinky Hijikata6-3 6-7(7) 6-7(5)Winston-Salem
Raphael CollignonAug 30, 2026LSebastian Gorzny6-3 3-6 6-3 3-6 6-7(9)US Open
Raphael CollignonOct 20, 2026WNishesh Basavareddy3-6 6-3 6-4ATP Brussels
Jiri LeheckaSep 4, 2026LStefanos Tsitsipas6-2 1-6 6-7(3) 1-6US Open
Jiri LeheckaSep 18, 2026WBen Shelton6-4 6-4Davis Cup QLS R2: USA vs CZE
Jiri LeheckaSep 19, 2026WLearner Tien6-3 7-5Davis Cup QLS R2: USA vs CZE
Jiri LeheckaOct 1, 2026WZizou Bergs6-3 6-7(3) 6-3Tokyo
Jiri LeheckaOct 3, 2026WUgo Humbert5-7 6-4 6-4Tokyo
Jiri LeheckaOct 4, 2026WAdolfo Daniel Vallejo6-1 6-1Tokyo
Jiri LeheckaOct 5, 2026WValentin Vacherot6-4 6-2Tokyo
Jiri LeheckaOct 6, 2026LCarlos Alcaraz6-7(4) 4-6Tokyo
Jiri LeheckaOct 10, 2026WNuno Borges6-3 3-6 6-3Shanghai Masters
Jiri LeheckaOct 12, 2026LRafael Jodar6-4 6-7(2) 4-6Shanghai Masters
Source: Court Shark model and match data.

The form advantage also holds on hard courts

Surface results tell the same story. Each player's recent hard-court record matched his overall record, so Lehecka's advantage was not simply the result of comparing success on different surfaces. That makes recent form a more direct guide to this match rather than a reason to question whether his results transfer to hard courts.

Rankings supported the same direction: Lehecka stood at No. 16 and Collignon at No. 38. The ranking gap adds context to the recent results, though it does not identify where this match is most likely to be decided.

Over the past year, Lehecka held 86% of his service games on hard courts, compared with Collignon's 82%. My reading is that this serving advantage strengthens the favorite's case beyond his recent wins. Protecting his own serve matters particularly for Collignon, because Lehecka's record suggests breaks may be harder to recover.

Collignon's return offers a route back

Collignon's return record complicates the favorite's case. He broke in 22% of return games in the hard-court window, while Lehecka broke in 20%. That gives Collignon a plausible way to offset the serving disadvantage if he can convert return opportunities rather than rely on holding throughout a set.

Their previous meeting favored Lehecka, who won at the US Open in straight sets, but a single encounter cannot establish a dependable pattern between them. The result supports the favorite without settling whether Collignon can make this meeting closer.

Match readiness is another possible source of change: Collignon last played two days ago, while Lehecka had gone 10 days without a match. Collignon has the more immediate competitive reference. If that recent outing helps him start more effectively, it could give him an early opening despite the broader difference in their results.

The prediction

Court Shark's model favors Lehecka with a 74% chance to win, while the market consensus gives him 72%. Both favor the same player. Their forecasts differ only slightly, with each leaving Collignon as the underdog despite his latest victory and the better return record in the surface window.

Court Shark's AI analyst, which reads the matchup without the market, also picks Lehecka, agreeing with the model. Stronger recent form and a better service record provide the clearest tennis case for that choice, rather than the limited history between these opponents. Court Shark's scoreline forecast gives Lehecka a 52% chance of winning in straight sets, with a median total of 23 games.

Projected outcomes have a middle half running from 20 to 30 games, leaving room for competitive sets within a favorite's win. Collignon's clearest opening is to turn his return advantage into breaks before Lehecka's stronger service record can decide the sets.

How long it could go

Article snapshot, Oct 22, 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 gamesChance
140.4%
151.4%
162.5%
175.1%
186.1%
198.2%
208.1%
215.3%
2210.3%
238.9%
240.6%
253.3%
266.6%
271.6%
282.3%
292.5%
302.7%
314.0%
324.6%
332.9%
342.1%
354.1%
363.3%
370.2%
381.0%
391.7%
Source: Court Shark model and match data.

Explore this matchup

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

Player comparison

Article snapshot, Oct 22, 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
MeasureRaphael CollignonJiri Lehecka
Wins, last 10 matches40% (4-6)70% (7-3)
Wins, last 10 on hard40% (4-6)70% (7-3)
Head-to-head wins0% (0-1)100% (1-0)
Model win probability26%74%
Source: Court Shark model and match data.

Head-to-head by surface

Article snapshot, Oct 22, 2026 · Not live

Raphael Collignon and Jiri Lehecka have met once. Jiri Lehecka leads 1-0.

Head-to-head record, Raphael Collignon first
SurfaceRaphael CollignonJiri Lehecka
All surfaces01
Hard01
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 22, 2026 · Not live

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

Win rate by surface
SurfaceRaphael CollignonJiri Lehecka
Hard56% (14-11)63% (20-12)
Clay78% (14-4)67% (6-3)
Grass57% (4-3)67% (6-3)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 22, 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
MeasureRaphael CollignonJiri LeheckaTour average, all years
Service games held81%87%77%
Return games broken22%21%23%
Matches in sample2532
Source: Court Shark model and match data.

Model and market on Raphael Collignon

Article snapshot, Oct 22, 2026 · Not live

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

Raphael Collignon's chance to win
ReadingRaphael CollignonJiri Lehecka
Opening consensus24%76%
Latest consensus28%72%
Court Shark model26%74%
Source: Court Shark model and pre-match market consensus.

Model win probability

Article snapshot, Oct 22, 2026 · Not live

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

Model win probability by player
PlayerWin probabilityRecent form (last 10)
Raphael Collignon26%4-6
Jiri Lehecka74%7-3
Source: Court Shark model and match data.

Service games held: where they stand

Article snapshot, Oct 22, 2026 · Not live

Each dot is one of the ATP top 100 with enough matches in the last 52 weeks. Raphael Collignon is 47th of 94; Jiri Lehecka is 8th of 94.

Service games held, last 52 weeks, against the ATP top 100
PlayerService games heldPlace
Raphael Collignon81.6%47th of 94
Jiri Lehecka87.8%8th of 94
Field median81.6%
Field best (Jannik Sinner)94.5%1st
Source: Court Shark model and match data.

Two years of form

Article snapshot, Oct 22, 2026 · Not live

Each player's pre-match Elo rating since Oct 23, 2024. Latest: Jiri Lehecka 2074 (Oct 12, 2026), Raphael Collignon 1934 (Aug 30, 2026).

Pre-match Elo rating over the last two years
PlayerStart of windowTwo-year peakLatest
Raphael Collignon1700 (Oct 23, 2024)2007 (Jul 19, 2026)1934 (Aug 30, 2026)
Jiri Lehecka2005 (Oct 23, 2024)2074 (Oct 12, 2026)2074 (Oct 12, 2026)
Source: Court Shark model and match data.
Explore this matchup

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

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.

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