Raphaël Collignon: Belgian breakthrough with 50% Grand Slams and rising 2026 form

Raphaël Collignon ranks 42 in the ATP (July 2026 snapshot) and has played 29 ATP main-draw matches in our database from 2025 to mid-2026. The headline number — 44.8% overall win rate — looks ordinary for a rising Belgian. The paradox: at Grand Slams he sits at 50% (4–4), with signature wins over Casper Ruud (US Open 2025) and Ben Shelton (Roland Garros 2026), while his 2026 win rate (53.8%) is already 16.3 points above his 2025 baseline (37.5%).

Key metrics at a glance

Metric	Value
Overall win rate	44.8%
ATP rank (snapshot)	42
Matches analysed	29 (2025–mid-2026)
Best surface (min. 6 matches)	Hard / Indoors — 50.0%
Weakest surface (min. 6 matches)	Clay — 40.0%
Grand Slam win rate	50.0% (4–4)
2025 win rate	37.5%
2026 win rate	53.8%

Collignon's year-by-year record

Year	Matches	Wins	Win rate
2025	16	6	37.5%
2026	13	7	53.8%

Win rate by season, Raphaël Collignon, 2025–2026. Source: ATP match data via tennispredictor.net

This is a two-year breakthrough sample, not a four-year veteran curve. 2025 is the establishment year: 16 matches, 37.5%, highlighted by a Brussels indoor run to the semi-finals and a US Open third-round appearance. 2026 (through mid-July in our cache) jumps to 53.8% over 13 matches — Miami third round, Roland Garros third round, Brisbane quarter-final — enough to treat the trajectory as real even if the absolute sample stays thin.

Compare the breakthrough caution in the Valentin Vacherot profile: both are rising main-tour stories with meaningful but still limited samples — not de Minaur-sized datasets.

Surface breakdown: hard and indoors lead; clay lags

Surface	Matches	Win rate
Hard	12	50.0%
Indoors	6	50.0%
Clay	10	40.0%
Grass	1	0.0%

Win rate by surface, Raphaël Collignon, 2025–2026. Source: ATP match data via tennispredictor.net

Hard (50.0%, 12 matches) and indoors (50.0%, 6) are the usable baselines. The Brussels 2025 run (wins over Bergs, Comesana, Davidovich Fokina before a SF loss to Auger-Aliassime) anchors the indoor signal. Hard includes the US Open Ruud upset and the Miami wins over Dimitrov and Cobolli.

Clay at 40.0% over 10 matches is the soft spot among surfaces with a meaningful sample — though Roland Garros 2026 (wins over Vukic and Shelton) shows he can still peak on the dirt in best-of-five. Grass is a single Wimbledon 2025 loss to Cilic — do not generalise from n=1.

For clay specialists at the other extreme, see Darderi or Cerundolo. Collignon is closer to a hard-court riser who can steal Slam weeks than to a clay grinder.

Tournament tier: Grand Slams punch above overall rate

Tournament level	Matches	Win rate
Grand Slam	8	50.0%
Masters 1000	4	50.0%
ATP 250	15	46.7%
ATP 500	2	0.0%

Win rate by tournament tier, Raphaël Collignon, 2025–2026. Source: ATP match data via tennispredictor.net

Unlike many rising players who shrink at majors (see Tabilo at 33.3% Grand Slams), Collignon’s Slam win rate (50%) sits above his overall 44.8%. Eight Slam matches is still a small sample — but the quality of wins matters: Ruud on hard at the US Open, Shelton on clay in Paris.

Masters (50%, 4 matches) is Miami-heavy. ATP 250 (46.7%, 15) is the volume tier. ATP 500 is 0–2 — too thin to call a structural fade, but a reminder that mid-tier clay/indoor 500s have not yet clicked.

Round-by-round: first-round volatility, third-round wall so far

Round	Matches	Win rate
1R	16	43.8%
2R	3	100.0%
3R	3	0.0%
R16	4	50.0%
QF	2	50.0%
SF	1	0.0%

Win rate by round, Raphaël Collignon, 2025–2026. Source: ATP match data via tennispredictor.net

First round (43.8%, 16 matches) is the volatility zone — nearly half the sample. When he clears R1, second round is perfect in a tiny sample (3–0). The current ceiling pattern: 0–3 in third rounds (US Open vs Lehecka, Miami vs Paul, Roland Garros vs Arnaldi). That is a week-two wall, not a proof he cannot go further — just the limit of what this 29-match window shows.

Brussels reached SF; Brisbane reached QF. Deep 250 runs exist; best-of-five third rounds against established names have not yet broken through.

Player angle: Slam giant-killing above a sub-50% overall rate

Grand Slam win rate vs overall and ATP 250, Raphaël Collignon, 2025–2026. Source: ATP match data via tennispredictor.net

The distinctive Collignon signal is major-stage conversion relative to tour-level baseline:

• Overall 44.8% vs Grand Slams 50.0%
• Documented upsets: Ruud (US Open 2025 R2), Shelton (Roland Garros 2026 R2)
• Clean priced favourite sample is too sparse for a full odds-role chart (many cache prices are missing or placeholder-like); treat favourite/underdog percentages as unreliable until odds coverage improves

So the betting story is not “elite favourite converter.” It is “dangerous Slam underdog / live dog when the draw opens,” plus “2026 form is meaningfully better than 2025.”

What the betting market misses about Collignon

Back / lean spots (data-supported):

• Grand Slam early rounds when he is underpriced relative to a higher-ranked but vulnerable opponent — the Ruud and Shelton wins are the template
• 2026 form weeks on hard / indoors after a solid R1 — his season win rate has already cleared 50%
• Home / low-altitude indoor 250s in the Brussels mould — proven SF ability in-sample

Fade / caution spots:

• Clay ATP 250/500 as a short-priced favourite — 40% clay overall in this window
• Third-round chalk at big events until the 0–3 R3 record breaks
• Any narrative that treats 29 matches like a 200-match profile — variance is still high

For stake sizing around these spots, see our value betting guide and bankroll management article.

How our model treats Collignon

With a thin ATP history, the hybrid model leans harder on recent form, surface split, and opponent quality than on long career priors. Expect:

1. Surface history — hard/indoor closer to neutral; clay slightly discounted until the sample grows
2. Last 5 / last 10 — the 2026 lift should show up quickly in live features
3. Tournament context — Slam weeks can keep him live longer than a pure ranking model implies
4. Uncertainty flag — low match count means wider confidence bands than for Cobolli or Lehecka

Track live probabilities on the prediction dashboard rather than freezing this article’s percentages into every ticket.

Frequently asked questions

What is Raphaël Collignon's overall win rate in this study?

44.8% (13 wins from 29 ATP main-draw matches, 2025–mid-2026).

Which surface shows the highest win rate?

Among surfaces with at least six matches, hard and indoors both sit at 50.0%. Clay is weaker at 40.0% (10 matches). Grass is only one match.

How often does Collignon lose when installed as favourite?

Bookmaker odds coverage in our Collignon extract is sparse and often incomplete, so we do not publish a favourite win-rate headline. Use match-level prices on the day rather than a career favourite rate from this file.

How does Collignon perform at Grand Slams vs regular events?

Better than his overall rate: 50.0% at Grand Slams (4–4 across 8 matches) versus 44.8% overall and 46.7% at ATP 250s. Signature wins: Ruud (US Open 2025) and Shelton (Roland Garros 2026).

Who is Collignon's toughest matchup in the data?

No rival reaches a 3-match H2H in this window. Notable losses include Lehecka (US Open R3), Tommy Paul (Miami R3), and Auger-Aliassime (Brussels SF). The toughest pattern is the 0–3 third-round record against established names.

When is Collignon worth backing or fading based on this data?

Lean toward him as a Slam live dog or in 2026 hard/indoor weeks after a solid opener. Be cautious as a short-priced clay favourite at 250/500 level and in R3 chalk spots until that wall breaks.

How reliable are these statistics given the sample size?

Limited. Twenty-nine matches is a breakthrough sample, not a career encyclopedia. Treat percentages as directional — especially round and tier splits with fewer than eight matches — and update as 2026 volume grows. Same honesty bar we apply to other thin profiles like Vacherot.

How does your model handle Collignon's thin history?

It up-weights recent form and surface, down-weights long priors that do not exist yet, and keeps confidence bands wider than for top-20 veterans. Dashboard live probs will move faster week to week than this article.

The verdict

Collignon’s betting identity in this window is three numbers: 44.8% overall, 50% Grand Slams, and 53.8% in 2026. The market should not price him as a finished top-30 favourite converter — but it also should not ignore a Belgian who has already taken out Ruud and Shelton at majors while climbing from a 37.5% 2025 baseline.

Watch the next Slam third round and clay 250 favourite prices: if R3 starts converting and clay moves toward 50%, the breakthrough thesis strengthens; if R1 volatility returns without Slam scalps, the 2026 lift was a hot streak, not a new tier.

Dataset and methodology

ATP main-draw matches from TennisPredictor’s tournament cache (2025–mid-2026), 29 matches with Collignon on either side. Surfaces: hard, clay, grass, indoors. Favourite metrics omitted from headlines where odds fields are missing or non-credible. Rank snapshot: ATP #42, July 2026 (rankingSnapshot: 2026-07).

Related reading

• US Open 2026 betting preview — Flushing Meadows context for his 2025 run
• Casper Ruud player analysis
• Ben Shelton player analysis
• Alejandro Tabilo player analysis — contrasting Slam floor vs Collignon’s Slam relative strength
• How AI predicts tennis

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Data: 29 ATP main-draw matches (2025–mid-2026) from TennisPredictor's tournament database. Win rates use completed match winners. Odds-based favourite rates withheld where price coverage is incomplete.