ATP · Right-handed · 6 charted matches · 2024–2025
Raphael Collignon
Against an average opponent
Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.
Value per 100 shots
Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 3,738 shots.
Shot expected value
The share of points Raphael Collignon goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 247 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 27% | 54.6%±8.8 | 52.7% |
| FH through the middle | 21% | 50.6%±9.7 | 47.0% |
| FH down the line | 21% | 53.9%±9.7 | 51.5% |
| BH crosscourt | 14% | 44.1%±11.1 | 49.1% |
| BH through the middle | 10% | 47.5%±12.2 | 46.8% |
| BH down the line | 5% | 47.4%±14.3 | 48.3% |
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 227 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 47% | 46.4%±7.3 | 47.6% |
| BH through the middle | 28% | 50.3%±9.0 | 43.7% |
| BH down the line | 8% | 46.9%±13.1 | 46.4% |
| FH inside-out | 5% | 46.3%±14.7 | 51.8% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 166 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 50% | 47.3%±8.2 | 46.6% |
| FH through the middle | 28% | 42.0%±10.1 | 41.5% |
| FH down the line | 16% | 42.1%±12.1 | 44.7% |
| FH slice through the middle | 6% | 29.7%±13.7 | 24.5% |
Long rally, 9+: drive to your middle
position worth 51% to the average player · 148 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 25% | 46.6%±10.9 | 52.7% |
| FH down the line | 22% | 51.7%±11.3 | 52.0% |
| FH through the middle | 16% | 47.6%±12.5 | 47.4% |
| BH crosscourt | 15% | 42.6%±12.6 | 49.6% |
| BH through the middle | 14% | 52.1%±12.8 | 46.8% |
| BH down the line | 8% | 43.4%±14.4 | 49.5% |
Serve under pressure
Pressure predictability index +12 How much less varied Raphael Collignon's first-serve direction gets on break points. Positive means easier to read. Based on 60 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 42% | 42% | 72% / 73% |
| Body | 13% | 0% ▼ | 67% / 63% |
| T | 46% | 58% ▲ | 72% / 75% |
338 normal · 12 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 38% | 42% | 74% / 73% |
| Body | 10% | 6% | 59% / 63% |
| T | 52% | 52% | 72% / 72% |
272 normal · 48 break-point 1st serves
Is the serve mix in equilibrium?
Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.
Deuce court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 42% | 65.3%±5.9 n=146 | 55% ▲ |
| Body | 12% | 62.4%±9.3 n=43 | 0% ▼ |
| T | 46% | 56.8%±5.9 n=161 | 45% ▼ |
Consistent with an optimal mix (p = 0.17).
Optimal mix: +0.5 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 38% | 64.5%±6.4 n=122 | 51% ▲ |
| Body | 10% | 54.2%±10.5 n=31 | 0% ▼ |
| T | 52% | 61.6%±5.7 n=167 | 49% ▼ |
Consistent with an optimal mix (p = 0.17).
Optimal mix: +0.5 per 100 first serves.
Exploitability 0.54 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.
Repeating the previous direction to the same court: +0.2±6.0 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (243 repeats, 415 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 26 | 38% | +0.7±10.7 | |
| 1st | Ad court | T | 106 | 33% | +5.4±6.7 | |
| 1st | Ad court | Wide | 61 | 30% | +2.6±7.9 | |
| 1st | Deuce court | Body | 40 | 33% | −3.8±9.2 | |
| 1st | Deuce court | T | 97 | 24% | −1.0±6.2 | |
| 1st | Deuce court | Wide | 86 | 25% | −2.0±6.6 | |
| 2nd | Ad court | Body | 46 | 50% | +0.4±9.4 | |
| 2nd | Ad court | T | 22 | 50% | +0.3±11.4 | |
| 2nd | Ad court | Wide | 33 | 50% | +1.6±10.4 | |
| 2nd | Deuce court | Body | 39 | 53% | +4.2±9.9 | |
| 2nd | Deuce court | T | 43 | 53% | +3.6±9.6 | |
| 2nd | Deuce court | Wide | 21 | 48% | −0.2±11.5 |
Signature patterns
Recurring sequences that win more than Raphael Collignon's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (deuce court) → FH crosscourt used 5.3% · won 71% · −0.9±10.3 vs own baseline
- T serve (deuce court) → FH crosscourt used 5.3% · won 71% · −0.9±10.3 vs own baseline
- T serve (ad court) → FH down the line used 5.9% · won 67% · −4.7±10.3 vs own baseline
Return
- vs T serve (ad court) → FH through the middle, mid used 11.1% · won 48% · +3.1±11.7 vs own baseline
- vs T serve (deuce court) → BH through the middle, mid used 14.7% · won 40% · −4.4±10.6 vs own baseline
Rally, consecutive own shots
- BH through the middle → BH crosscourt used 3.8% · won 51% · +5.7±10.8 vs own baseline
- BH through the middle → FH through the middle used 3.7% · won 50% · +4.8±10.9 vs own baseline
- FH through the middle → FH crosscourt used 4.1% · won 49% · +4.0±10.6 vs own baseline
- BH crosscourt → BH through the middle used 3.6% · won 49% · +4.0±11.0 vs own baseline
- FH through the middle → BH through the middle used 4.5% · won 47% · +1.7±10.3 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Raphael Collignon wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH crosscourt → FH crosscourt used 1.2% · won 54% · +5.6±11.6 vs own baseline · +11.2 vs tour on the same sequence Disrupted by Casper Ruud (3/6), Alex De Minaur (5/8)
- BH crosscourt → BH crosscourt → BH through the middle used 0.8% · won 52% · +2.8±12.6 vs own baseline · +10.3 vs tour on the same sequence Disrupted by Botic Van De Zandschulp (3/6)
- FH crosscourt → FH through the middle → FH crosscourt used 1.2% · won 50% · +1.6±11.6 vs own baseline · −2.6 vs tour on the same sequence Disrupted by Botic Van De Zandschulp (7/13)
- FH through the middle → FH down the line → BH through the middle used 0.7% · won 48% · −0.8±13.0 vs own baseline · +5.0 vs tour on the same sequence Disrupted by Botic Van De Zandschulp (4/11)
- FH down the line → BH crosscourt → BH crosscourt used 1.2% · won 47% · −1.4±11.5 vs own baseline · −2.8 vs tour on the same sequence Disrupted by Botic Van De Zandschulp (2/7), Casper Ruud (2/6)
- FH down the line → BH through the middle → FH down the line used 0.8% · won 47% · −1.8±12.5 vs own baseline · −8.3 vs tour on the same sequence
Strengths and vulnerabilities
Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.
Hurts opponents most with
| FH to the middle · rally | +2.8 | 168 |
| FH to their backhand · serve +1 | +2.6 | 133 |
| BH to the middle · rally | +2.5 | 166 |
| BH to the middle · return | +1.9 | 121 |
| BH to their backhand · rally | +1.0 | 246 |
Most exposed to
| FH to their backhand · serve +1 | −4.8 | 120 |
| FH to the middle · rally | −2.7 | 182 |
| BH to the middle · rally | −2.4 | 189 |
| FH to the middle · return | −2.2 | 175 |
| BH to the middle · return | −2.2 | 126 |
Active players who are best at the shot in the top weakness: Stefanos Tsitsipas, Brandon Nakashima, Rinky Hijikata, Thiago Seyboth Wild, Jannik Sinner
Charted matches
- Francisco Comesana v Raphael Collignon W Brussels R16 · Hard · 15 Oct 2025
- Alex De Minaur v Raphael Collignon Davis Cup Qualifiers RR · Hard · 13 Sep 2025
- Casper Ruud v Raphael Collignon W US Open R64 · Hard · 27 Aug 2025
- Gabriel Diallo v Raphael Collignon W Bratislava 2 CH QF · Hard · 1 Nov 2024
- Botic Van De Zandschulp v Raphael Collignon L Davis Cup World Group RR · Hard · 10 Sep 2024
- Botic Van De Zandschulp v Raphael Collignon Luedenscheid F · Clay · 3 Aug 2024