ATP · Right-handed · 15 charted matches · 2014–2025
Pierre Hugues Herbert
Archetype: High-risk · Runs around the 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 5,333 shots.
Shot expected value
The share of points Pierre Hugues Herbert 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 backhand side
position worth 46% to the average player · 237 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 36% | 42.0%±7.9 | 47.6% |
| BH slice crosscourt | 22% | 28.9%±8.8 | 42.5% |
| BH through the middle | 21% | 38.8%±9.6 | 43.7% |
| BH down the line | 9% | 34.0%±12.0 | 46.4% |
| BH slice through the middle | 7% | 30.6%±12.6 | 35.1% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 189 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 57% | 44.8%±7.2 | 46.6% |
| FH through the middle | 22% | 37.6%±10.1 | 41.5% |
| FH down the line | 13% | 34.0%±11.7 | 44.7% |
Return +1: drive to your backhand side
position worth 44% to the average player · 153 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 24% | 40.4%±10.8 | 43.0% |
| BH crosscourt | 24% | 36.4%±10.6 | 46.9% |
| BH slice crosscourt | 22% | 43.7%±11.2 | 40.9% |
| BH slice through the middle | 14% | 25.6%±11.2 | 32.6% |
| BH down the line | 9% | 46.6%±14.1 | 44.2% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 125 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 24% | 47.1%±11.6 | 52.7% |
| FH down the line | 22% | 43.2%±11.9 | 51.5% |
| BH through the middle | 14% | 48.3%±13.3 | 46.8% |
| BH crosscourt | 14% | 39.0%±13.0 | 49.1% |
| FH through the middle | 13% | 42.8%±13.6 | 47.0% |
Serve under pressure
Pressure predictability index +3 How much less varied Pierre Hugues Herbert's first-serve direction gets on break points. Positive means easier to read. Based on 87 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 45% | 35% ▼ | 71% / 73% |
| Body | 5% | 19% ▲ | 55% / 63% |
| T | 50% | 46% | 79% / 75% |
643 normal · 26 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 56% | 59% | 77% / 73% |
| Body | 6% | 2% | 69% / 63% |
| T | 38% | 39% | 71% / 72% |
542 normal · 61 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 | 45% | 63.4%±4.4 n=301 | 37% ▼ |
| Body | 5% | 50.9%±10.3 n=34 | 0% ▼ |
| T | 50% | 72.1%±3.9 n=334 | 63% ▲ |
Off equilibrium (p < 0.001): serve T more. Gap 5.0 points per 100 first serves.
Optimal mix: +1.0 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 56% | 65.9%±4.1 n=339 | 69% ▲ |
| Body | 6% | 66.1%±9.7 n=34 | 0% ▼ |
| T | 38% | 59.9%±5.0 n=230 | 31% ▼ |
Consistent with an optimal mix (p = 0.21).
Optimal mix: +0.5 per 100 first serves.
Exploitability 0.71 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: +0.3±3.0 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. (582 repeats, 660 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 | 37 | 27% | −10.0±8.9 | |
| 1st | Ad court | T | 148 | 27% | −1.4±5.5 | |
| 1st | Ad court | Wide | 186 | 27% | −0.3±5.0 | |
| 1st | Deuce court | Body | 52 | 34% | −2.6±8.6 | |
| 1st | Deuce court | T | 176 | 25% | −0.5±4.9 | |
| 1st | Deuce court | Wide | 192 | 26% | −1.0±4.9 | |
| 2nd | Ad court | Body | 60 | 44% | −5.1±8.6 | |
| 2nd | Ad court | T | 43 | 44% | −5.7±9.5 | |
| 2nd | Ad court | Wide | 109 | 40% | −8.4±6.8 | |
| 2nd | Deuce court | Body | 92 | 46% | −3.4±7.4 | |
| 2nd | Deuce court | T | 85 | 38% | −11.5±7.5 | |
| 2nd | Deuce court | Wide | 58 | 39% | −9.0±8.6 |
Signature patterns
Recurring sequences that win more than Pierre Hugues Herbert's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (deuce court) → FH down the line + approach used 2.8% · won 79% · +3.4±9.2 vs own baseline
- T serve (deuce court) → FH crosscourt used 2.3% · won 71% · −4.3±10.5 vs own baseline
- T serve (deuce court) → FH volley down the line used 2.3% · won 69% · −6.3±10.7 vs own baseline
- Wide serve (ad court) → BH through the middle used 2.3% · won 63% · −12.3±11.2 vs own baseline
- Wide serve (ad court) → FH crosscourt used 2.8% · won 61% · −15.1±10.9 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, deep used 4.1% · won 39% · +6.6±11.0 vs own baseline
- vs wide serve (deuce court) → FH through the middle, mid used 3.9% · won 38% · +5.5±11.1 vs own baseline
- vs wide serve (ad court) → BH crosscourt, deep used 5.2% · won 35% · +2.6±10.2 vs own baseline
- vs wide serve (ad court) → BH through the middle, mid used 3.6% · won 34% · +1.0±11.1 vs own baseline
- vs T serve (deuce court) → BH through the middle, mid used 4.3% · won 33% · +0.3±10.6 vs own baseline
Rally, consecutive own shots
- BH through the middle → BH crosscourt used 5.9% · won 46% · +10.0±10.7 vs own baseline
- FH crosscourt → FH crosscourt used 5.7% · won 42% · +5.6±10.7 vs own baseline
- FH crosscourt → BH crosscourt used 4.2% · won 42% · +5.5±11.6 vs own baseline
- BH crosscourt → FH crosscourt used 5.7% · won 40% · +3.8±10.7 vs own baseline
- BH crosscourt → BH crosscourt used 5.7% · won 38% · +2.1±10.6 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Pierre Hugues Herbert wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH down the line → BH crosscourt used 0.9% · won 47% · +2.4±12.3 vs own baseline · +1.2 vs tour on the same sequence Disrupted by Carlos Alcaraz (2/7)
- BH through the middle → FH down the line → BH crosscourt used 0.7% · won 47% · +2.1±12.8 vs own baseline · +3.3 vs tour on the same sequence
- BH through the middle → FH crosscourt → FH crosscourt used 0.8% · won 46% · +1.0±12.7 vs own baseline · +2.1 vs tour on the same sequence
- FH through the middle → FH crosscourt → FH crosscourt used 1.0% · won 44% · −0.8±12.0 vs own baseline · −3.0 vs tour on the same sequence
- BH crosscourt → BH crosscourt → BH crosscourt used 1.2% · won 43% · −2.0±11.3 vs own baseline · −7.6 vs tour on the same sequence Disrupted by Felix Auger Aliassime (3/7)
- FH crosscourt → FH crosscourt → FH down the line used 0.7% · won 42% · −2.8±12.7 vs own baseline · −9.3 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 their forehand · serve +1 | +3.0 | 124 |
| FH to their backhand · serve +1 | +1.5 | 130 |
| Wide 1st serve · ad court | +0.8 | 339 |
| T 1st serve · deuce court | +0.1 | 334 |
| T 1st serve · ad court | −0.4 | 230 |
Most exposed to
| FH to their backhand · serve +1 | −2.4 | 175 |
| Wide 1st serve · ad court | −1.2 | 292 |
| T 1st serve · ad court | −0.8 | 238 |
| FH to their forehand · rally | −0.6 | 242 |
| BH to their backhand · rally | −0.5 | 176 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Rafael Nadal +1.47, Miomir Kecmanovic +1.22, Nishesh Basavareddy +1.04, Daniel Evans +1.04, Pedro Martinez +1.02
Favourable matchups
Fabian Marozsan +0.54, Pedro Martinez +0.24, Miomir Kecmanovic +0.24, Roberto Bautista Agut +0.19, Roberto Carballes Baena +0.14
Active players who are best at the shot in the top weakness: Stefanos Tsitsipas, Brandon Nakashima, Rinky Hijikata, Thiago Seyboth Wild, Jannik Sinner
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Deep returns | 39% | |
| Point-ending shots | 30.6% | |
| Points at net | 18% | |
| Serve & volley | 25% | |
| Wide serves · ad | 56% | |
| T serves · deuce | 50% | |
| Unforced errors / shot | 11.3% | |
| Drop shots / shot | 2.2% | |
| Backhand slice | 29% | |
| Forehand share | 55% | |
| Wide serves · deuce | 45% | |
| Through the middle | 25% | |
| Chipped returns | 17% | |
| BH down the line | 20% | |
| T serves · ad | 38% | |
| Run-around forehands | 17% | |
| FH down the line | 29% | |
| 1st serve in | 59% | |
| Avg rally length | 3.1 |
Plays most like
- James Duckworth 2014–2026 plan v
- Jan Lennard Struff 2014–2025 plan v
- Alexei Popyrin 2019–2026 plan v
- Sebastian Korda 2021–2026 plan v
- Denis Shapovalov 2016–2026 plan v
- Sam Querrey 2010–2022 plan v
- Lucas Pouille 2015–2024 plan v
- Zizou Bergs 2021–2026 plan v
Closest from another era
- Marat Safin 1998–2009
- Andrei Pavel 1999–2006
- Mark Philippoussis 1995–2003
Charted matches
- Pierre Hugues Herbert v Jelle Sels Cherbourg CH F · Hard · 16 Mar 2025
- Pierre Hugues Herbert v Daniil Medvedev Marseille R16 · Hard · 13 Feb 2025
- Pierre Hugues Herbert v Novak Djokovic L Roland Garros R128 · Clay · 28 May 2024
- Carlos Alcaraz v Pierre Hugues Herbert Paris Masters R64 · Hard · 2 Nov 2021
- Pierre Hugues Herbert v Jannik Sinner L Roland Garros R128 · Clay · 31 May 2021
- Pierre Hugues Herbert v Felix Auger Aliassime L Marseille R16 · Hard · 20 Feb 2020
- Sergiy Stakhovsky v Pierre Hugues Herbert W Montpellier R32 · Hard · 4 Feb 2020
- Pierre Hugues Herbert v Sergiy Stakhovsky W Halle R16 · Grass · 19 Jun 2019
- Stan Wawrinka v Pierre Hugues Herbert L Madrid Masters R64 · Clay · 7 May 2019
- Denis Shapovalov v Pierre Hugues Herbert W Montpellier QF · Hard · 8 Feb 2019
- Pierre Hugues Herbert v Sam Querrey W Australian Open R128 · Hard · 15 Jan 2019
- Grigor Dimitrov v Pierre Hugues Herbert L Monte Carlo Masters R32 · Clay · 17 Apr 2018