ATP · Right-handed · 12 charted matches · 2020–2025
Arthur Cazaux
Archetype: Rallies through the middle · Crosscourt backhand
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 5,402 shots.
Shot expected value
The share of points Arthur Cazaux 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 forehand side
position worth 44% to the average player · 313 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 37% | 42.9%±7.0 | 46.6% |
| FH through the middle | 30% | 41.0%±7.6 | 41.5% |
| FH down the line | 20% | 44.0%±8.9 | 44.7% |
| FH slice through the middle | 6% | 25.4%±11.5 | 24.5% |
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 300 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 46% | 47.2%±6.5 | 47.6% |
| BH through the middle | 25% | 50.8%±8.5 | 43.7% |
| BH down the line | 14% | 39.2%±10.2 | 46.4% |
| BH slice crosscourt | 6% | 39.2%±13.2 | 42.5% |
| BH slice through the middle | 4% | 32.4%±13.8 | 35.1% |
| BH slice down the line | 3% | 38.0%±14.6 | 37.1% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 226 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 26% | 45.3%±9.3 | 51.5% |
| FH through the middle | 21% | 42.4%±9.9 | 47.0% |
| FH crosscourt | 20% | 44.8%±10.1 | 52.7% |
| BH through the middle | 14% | 41.9%±11.4 | 46.8% |
| BH crosscourt | 12% | 52.8%±12.0 | 49.1% |
| BH down the line | 5% | 47.3%±14.8 | 48.3% |
Long rally, 9+: drive to your backhand side
position worth 46% to the average player · 177 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 40% | 54.0%±8.6 | 48.0% |
| BH through the middle | 31% | 33.5%±9.0 | 43.8% |
| BH down the line | 16% | 45.5%±11.7 | 46.5% |
| BH slice crosscourt | 7% | 45.1%±14.5 | 42.1% |
Serve under pressure
Pressure predictability index +1 How much less varied Arthur Cazaux's first-serve direction gets on break points. Positive means easier to read. Based on 95 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 46% | 48% | 72% / 73% |
| Body | 5% | 4% | 60% / 63% |
| T | 49% | 48% | 78% / 75% |
510 normal · 25 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 52% | 69% ▲ | 72% / 73% |
| Body | 3% | 7% | 69% / 63% |
| T | 46% | 24% ▼ | 71% / 72% |
424 normal · 70 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 | 46% | 65.5%±4.7 n=246 | 59% ▲ |
| Body | 5% | 56.2%±11.0 n=25 | 0% ▼ |
| T | 49% | 64.7%±4.6 n=264 | 41% ▼ |
Consistent with an optimal mix (p = 0.54).
Optimal mix: +0.3 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 54% | 64.1%±4.6 n=267 | 67% ▲ |
| Body | 3% | 67.3%±11.4 n=16 | 3% |
| T | 43% | 55.8%±5.3 n=211 | 30% ▼ |
Consistent with an optimal mix (p = 0.08).
Optimal mix: +0.5 per 100 first serves.
Exploitability 0.39 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: −4.0±4.9 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. (414 repeats, 591 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 | 16 | 35% | −2.0±11.6 | |
| 1st | Ad court | T | 149 | 20% | −7.7±4.9 | |
| 1st | Ad court | Wide | 124 | 25% | −2.4±5.7 | |
| 1st | Deuce court | Body | 20 | 34% | −2.7±11.0 | |
| 1st | Deuce court | T | 126 | 21% | −3.6±5.4 | |
| 1st | Deuce court | Wide | 166 | 27% | −0.1±5.2 | |
| 2nd | Ad court | Body | 58 | 40% | −9.8±8.6 | |
| 2nd | Ad court | T | 40 | 45% | −3.9±9.8 | |
| 2nd | Ad court | Wide | 93 | 48% | −0.8±7.4 | |
| 2nd | Deuce court | Body | 71 | 39% | −9.7±8.0 | |
| 2nd | Deuce court | T | 100 | 51% | +1.0±7.2 | |
| 2nd | Deuce court | Wide | 43 | 49% | +0.4±9.6 |
Signature patterns
Recurring sequences that win more than Arthur Cazaux's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → BH through the middle used 2.6% · won 66% · −2.5±11.0 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 3.5% · won 63% · −4.6±10.3 vs own baseline
- Wide serve (ad court) → FH crosscourt used 2.7% · won 62% · −5.7±11.1 vs own baseline
- Wide serve (ad court) → BH crosscourt used 3.0% · won 61% · −7.3±10.8 vs own baseline
- Wide serve (deuce court) → FH through the middle used 2.4% · won 59% · −9.2±11.5 vs own baseline
Return
- vs wide serve (ad court) → BH through the middle, deep used 5.6% · won 45% · +11.5±10.7 vs own baseline
- vs T serve (deuce court) → BH through the middle, deep used 5.4% · won 40% · +7.0±10.7 vs own baseline
- vs T serve (deuce court) → BH through the middle, mid used 5.6% · won 40% · +6.3±10.5 vs own baseline
- vs wide serve (ad court) → BH crosscourt, short used 4.2% · won 39% · +5.9±11.3 vs own baseline
- vs wide serve (ad court) → BH through the middle, mid used 5.2% · won 38% · +4.1±10.6 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH crosscourt used 4.2% · won 50% · +6.8±10.1 vs own baseline
- BH crosscourt → BH crosscourt used 5.0% · won 49% · +6.1±9.5 vs own baseline
- FH through the middle → FH crosscourt used 4.7% · won 48% · +5.4±9.8 vs own baseline
- BH through the middle → FH down the line used 3.0% · won 48% · +5.0±11.0 vs own baseline
- BH crosscourt → BH through the middle used 4.4% · won 47% · +3.8±9.9 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Arthur Cazaux wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH down the line → BH crosscourt → BH crosscourt used 1.2% · won 51% · +6.8±10.7 vs own baseline · +7.0 vs tour on the same sequence Disrupted by Hubert Hurkacz (4/6)
- FH through the middle → FH down the line → BH crosscourt used 0.9% · won 50% · +5.9±11.6 vs own baseline · +9.8 vs tour on the same sequence Disrupted by Tomas Martin Etcheverry (4/6)
- BH crosscourt → BH crosscourt → BH crosscourt used 1.2% · won 47% · +3.3±10.9 vs own baseline · +1.6 vs tour on the same sequence Disrupted by Alexander Bublik (1/6), Tomas Martin Etcheverry (3/10)
- FH crosscourt → FH crosscourt → FH crosscourt used 1.0% · won 47% · +3.1±11.3 vs own baseline · +1.2 vs tour on the same sequence Disrupted by Tomas Martin Etcheverry (7/13), Hubert Hurkacz (5/9)
- FH crosscourt → FH through the middle → FH down the line used 0.7% · won 47% · +2.6±12.2 vs own baseline · −3.0 vs tour on the same sequence Disrupted by Harold Mayot (2/7)
- FH down the line → BH crosscourt → BH through the middle used 0.7% · won 46% · +1.4±12.4 vs own baseline · +3.6 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 their forehand · serve +1 | +2.7 | 142 |
| BH to their backhand · rally | +2.4 | 268 |
| FH to their forehand · rally | +1.4 | 305 |
| Wide 1st serve · ad court | +1.3 | 267 |
| FH to the middle · rally | +0.9 | 251 |
Most exposed to
| FH to their backhand · rally | −2.8 | 318 |
| FH to their forehand · serve +1 | −2.7 | 157 |
| FH to their backhand · serve +1 | −1.7 | 156 |
| BH to their forehand · rally | −1.6 | 127 |
| T 1st serve · ad court | −1.5 | 232 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Rafael Nadal +2.60, Miomir Kecmanovic +2.06, Jack Draper +1.95, Nishesh Basavareddy +1.85, Pedro Martinez +1.84
Favourable matchups
Miomir Kecmanovic +1.26, Pedro Martinez +1.22, Fabian Marozsan +1.18, Roberto Bautista Agut +1.12, Roberto Carballes Baena +1.01
Active players who are best at the shot in the top weakness: Adrian Andreev, Alex Molcan, Rafael Nadal, Hugo Gaston, Daniel Evans
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Through the middle | 32% | |
| Deep returns | 37% | |
| T serves · deuce | 49% | |
| Drop shots / shot | 2.2% | |
| Wide serves · ad | 54% | |
| T serves · ad | 43% | |
| Forehand share | 56% | |
| Avg rally length | 4.2 | |
| Wide serves · deuce | 46% | |
| BH down the line | 21% | |
| FH down the line | 30% | |
| Chipped returns | 12% | |
| Unforced errors / shot | 9.2% | |
| Points at net | 9% | |
| Serve & volley | 1% | |
| 1st serve in | 59% | |
| Point-ending shots | 20.7% | |
| Backhand slice | 12% | |
| Run-around forehands | 12% |
Plays most like
- Filip Krajinovic 2017–2023 plan v
- Jakub Mensik 2022–2026 plan v
- Gael Monfils 2005–2026 plan v
- Nuno Borges 2021–2026 plan v
- Marcos Giron 2018–2026 plan v
- Taylor Fritz 2016–2026 plan v
- Gregoire Barrere 2016–2024 plan v
- Rinky Hijikata 2023–2026 plan v
Closest from another era
- Andrei Pavel 1999–2006
- Marat Safin 1998–2009
- Ivan Ljubicic 2003–2011
Charted matches
- Alejandro Davidovich Fokina v Arthur Cazaux L Paris Masters R32 · Hard · 29 Oct 2025
- Arthur Cazaux v Luciano Darderi W Paris Masters R64 · Hard · 27 Oct 2025
- Alexander Bublik v Arthur Cazaux L Kitzbuhel F · Clay · 26 Jul 2025
- Alexander Bublik v Arthur Cazaux L Gstaad SF · Clay · 19 Jul 2025
- Alejandro Tabilo v Arthur Cazaux L Roland Garros R128 · Clay · 26 May 2025
- Hubert Hurkacz v Arthur Cazaux L Geneva R32 · Clay · 20 May 2025
- Arthur Cazaux v Tomas Martin Etcheverry L Roland Garros R128 · Clay · 28 May 2024
- Arthur Cazaux v Andrey Rublev L Dubai R16 · Hard · 28 Feb 2024
- Felix Auger Aliassime v Arthur Cazaux L Montpellier R16 · Hard · 1 Feb 2024
- Arthur Cazaux v Hubert Hurkacz L Australian Open R16 · Hard · 22 Jan 2024
- Arthur Cazaux v Holger Rune W Australian Open R64 · Hard · 18 Jan 2024
- Arthur Cazaux v Harold Mayot L Australian Open Juniors F · Hard · 1 Feb 2020