WTA · Right-handed · 14 charted matches · 2021–2026
Diane Parry
Archetype: Runs around the backhand · Forehand-dominant
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 5,436 shots.
Shot expected value
The share of points Diane Parry 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 45% to the average player · 365 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice crosscourt | 25% | 40.6%±7.7 | 40.4% |
| BH slice through the middle | 24% | 39.7%±7.7 | 34.4% |
| BH through the middle | 14% | 48.8%±9.8 | 43.3% |
| BH crosscourt | 12% | 46.1%±10.3 | 47.6% |
| FH inside-out | 8% | 59.0%±11.4 | 52.5% |
| BH slice down the line | 6% | 38.0%±12.2 | 31.7% |
| FH through the middle | 4% | 48.5%±14.3 | 45.1% |
| FH inside-in | 4% | 54.9%±14.2 | 55.6% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 241 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH through the middle | 34% | 42.8%±8.1 | 41.3% |
| FH crosscourt | 29% | 44.8%±8.6 | 46.7% |
| FH down the line | 26% | 45.1%±9.0 | 44.9% |
| FH slice through the middle | 9% | 37.7%±12.3 | 29.2% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 229 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 31% | 47.7%±8.6 | 52.2% |
| FH crosscourt | 26% | 51.3%±9.3 | 52.7% |
| FH through the middle | 21% | 44.3%±9.9 | 45.8% |
| BH through the middle | 6% | 41.9%±13.9 | 46.2% |
| BH slice through the middle | 5% | 43.6%±14.4 | 44.8% |
| FH down the line + approach | 5% | 76.5%±12.5 | 68.6% |
Return +1: drive to your backhand side
position worth 44% to the average player · 177 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice through the middle | 31% | 30.6%±8.8 | 33.2% |
| BH slice crosscourt | 21% | 38.5%±10.6 | 39.6% |
| BH through the middle | 12% | 37.2%±12.3 | 43.0% |
| BH crosscourt | 8% | 45.8%±14.1 | 47.8% |
| BH slice down the line | 8% | 34.5%±13.4 | 28.7% |
| FH inside-out | 7% | 63.9%±13.8 | 55.4% |
| BH down the line | 7% | 38.3%±14.1 | 46.2% |
| FH inside-in | 6% | 52.0%±14.8 | 55.6% |
Serve under pressure
Pressure predictability index +1 How much less varied Diane Parry's first-serve direction gets on break points. Positive means easier to read. Based on 114 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 43% | 44% | 68% / 66% |
| Body | 18% | 12% | 58% / 57% |
| T | 38% | 44% | 71% / 68% |
502 normal · 34 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 31% | 48% ▲ | 61% / 66% |
| Body | 15% | 14% | 57% / 56% |
| T | 54% | 39% ▼ | 63% / 64% |
411 normal · 80 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. A direction loses 0.19 points per 100 serves for every 10 points of habitual usage, measured from WTA 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 | 43% | 63.3%±4.9 n=233 | 59% ▲ |
| Body | 18% | 59.2%±7.2 n=96 | 3% ▼ |
| T | 39% | 59.9%±5.2 n=207 | 38% |
Consistent with an optimal mix (p = 0.57).
Optimal mix: +0.8 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 34% | 56.5%±5.8 n=167 | 49% ▲ |
| Body | 15% | 53.2%±8.1 n=72 | 0% ▼ |
| T | 51% | 54.6%±4.9 n=252 | 51% |
Consistent with an optimal mix (p = 0.80).
Optimal mix: +0.5 per 100 first serves.
Exploitability 0.63 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of WTA servers. Tested on matches they weren't fitted on, WTA mixes picked this way win 0.42 per 100 first serves on average.
Repeating the previous direction to the same court: −3.0±4.4 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. (363 repeats, 636 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 | 57 | 44% | ±0.0±8.8 | |
| 1st | Ad court | T | 94 | 32% | −3.5±6.9 | |
| 1st | Ad court | Wide | 153 | 28% | −6.4±5.5 | |
| 1st | Deuce court | Body | 84 | 43% | +0.2±7.6 | |
| 1st | Deuce court | T | 126 | 29% | −2.9±6.0 | |
| 1st | Deuce court | Wide | 123 | 26% | −8.4±5.8 | |
| 2nd | Ad court | Body | 58 | 53% | −2.2±8.8 | |
| 2nd | Ad court | T | 40 | 59% | +4.3±9.7 | |
| 2nd | Ad court | Wide | 73 | 50% | −4.0±8.1 | |
| 2nd | Deuce court | Body | 81 | 57% | +2.6±7.7 | |
| 2nd | Deuce court | T | 55 | 48% | −8.0±8.9 | |
| 2nd | Deuce court | Wide | 52 | 49% | −4.8±9.1 |
Signature patterns
Recurring sequences that win more than Diane Parry's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (deuce court) → FH down the line used 3.8% · won 65% · +4.6±10.4 vs own baseline
- T serve (ad court) → FH crosscourt used 3.3% · won 63% · +2.0±11.0 vs own baseline
- Wide serve (ad court) → FH crosscourt used 3.4% · won 61% · +0.8±10.9 vs own baseline
- T serve (deuce court) → FH crosscourt used 3.0% · won 59% · −1.5±11.4 vs own baseline
- T serve (deuce court) → FH down the line used 4.2% · won 59% · −2.0±10.4 vs own baseline
Return
- vs wide serve (ad court) → BH slice through the middle, deep used 5.0% · won 35% · −0.9±11.1 vs own baseline
- vs wide serve (ad court) → BH slice through the middle, mid used 5.8% · won 35% · −1.0±10.7 vs own baseline
- vs T serve (deuce court) → BH slice through the middle used 5.3% · won 34% · −1.6±10.9 vs own baseline
- vs wide serve (deuce court) → FH through the middle used 5.5% · won 30% · −6.0±10.4 vs own baseline
- vs wide serve (ad court) → BH slice through the middle used 5.5% · won 26% · −9.8±10.1 vs own baseline
Rally, consecutive own shots
- FH down the line → FH crosscourt used 3.5% · won 57% · +9.1±11.0 vs own baseline
- FH down the line → FH down the line used 2.8% · won 55% · +6.8±11.7 vs own baseline
- FH down the line → BH slice crosscourt used 3.1% · won 53% · +4.7±11.4 vs own baseline
- FH crosscourt → FH down the line used 6.6% · won 51% · +3.2±9.2 vs own baseline
- BH slice through the middle → BH slice crosscourt used 2.8% · won 51% · +2.8±11.7 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Diane Parry wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH down the line → BH through the middle → FH crosscourt used 0.9% · won 55% · +6.0±12.1 vs own baseline · +4.9 vs tour on the same sequence
- FH through the middle → FH through the middle → FH through the middle used 0.7% · won 54% · +5.4±12.8 vs own baseline · +16.4 vs tour on the same sequence
- FH down the line → BH through the middle → FH down the line used 0.6% · won 53% · +4.2±13.0 vs own baseline · +6.9 vs tour on the same sequence
- BH slice through the middle → FH crosscourt → FH through the middle used 0.6% · won 53% · +4.2±13.0 vs own baseline · +20.4 vs tour on the same sequence
- FH crosscourt → FH through the middle → FH down the line used 0.8% · won 52% · +2.8±12.3 vs own baseline · +1.4 vs tour on the same sequence
- FH down the line → BH crosscourt → FH inside-out used 0.8% · won 49% · +0.6±12.3 vs own baseline · −5.0 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
| Wide 1st serve · ad court | +1.2 | 167 |
| FH to their backhand · serve +1 | +1.2 | 235 |
| Wide 1st serve · deuce court | +0.6 | 233 |
| FH to their forehand · rally | +0.4 | 339 |
| BH slice to the middle · rally | ±0.0 | 166 |
Most exposed to
| BH to their forehand · rally | −1.4 | 120 |
| FH to their forehand · serve +1 | −1.3 | 141 |
| T 1st serve · deuce court | −0.8 | 211 |
| BH to their backhand · return | −0.7 | 158 |
| Wide 1st serve · ad court | −0.5 | 241 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Sara Sorribes Tormo +1.70, Caroline Wozniacki +1.53, Tatjana Maria +1.08, Angelique Kerber +1.02, Daria Kasatkina +0.95
Favourable matchups
Angelique Kerber +1.25, Sara Errani +0.80, Elina Avanesyan +0.76, Marie Bouzkova +0.74, Magdalena Frech +0.40
Active players who are best at the shot in the top weakness: Sara Sorribes Tormo, Alexandra Eala, Kayla Day, Caroline Wozniacki, Alize Cornet
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Run-around forehands | 28% | |
| Chipped returns | 43% | |
| Backhand slice | 60% | |
| Forehand share | 62% | |
| T serves · ad | 51% | |
| Points at net | 12% | |
| FH down the line | 34% | |
| Deep returns | 37% | |
| Wide serves · deuce | 43% | |
| Avg rally length | 4.3 | |
| T serves · deuce | 39% | |
| Serve & volley | 2% | |
| 1st serve in | 63% | |
| Point-ending shots | 24.3% | |
| Unforced errors / shot | 10.2% | |
| Through the middle | 28% | |
| BH down the line | 19% | |
| Drop shots / shot | 1.1% | |
| Wide serves · ad | 34% |
Plays most like
- Samantha Stosur 2009–2022 plan v
- Ashleigh Barty 2013–2022 plan v
- Roberta Vinci 2012–2017 plan v
- Francesca Schiavone 2006–2017 plan v
- Caty Mcnally 2019–2026 plan v
- Karolina Muchova 2019–2026 plan v
- Daria Saville 2015–2024 plan v
- Polona Hercog 2013–2021 plan v
Closest from another era
- Amelie Mauresmo 1999–2009
- Justine Henin 1999–2010
- Daniela Hantuchova 2002–2015
Charted matches
- Maja Chwalinska v Diane Parry L Roland Garros R16 · Clay · 1 Jun 2026
- Diane Parry v Marta Kostyuk L US Open R32 · Hard · 30 Aug 2025
- Diane Parry v Anastasia Potapova L Cleveland R32 · Hard · 19 Aug 2024
- Iga Swiatek v Diane Parry L Olympics R32 · Clay · 29 Jul 2024
- Diane Parry v Elina Svitolina L Roland Garros R64 · Clay · 30 May 2024
- Diane Parry v Mirra Andreeva L Australian Open R32 · Hard · 19 Jan 2024
- Diane Parry v Qinwen Zheng L Palermo R16 · Clay · 19 Jul 2023
- Anhelina Kalinina v Diane Parry W Roland Garros R128 · Clay · 30 May 2023
- Anna Lena Friedsam v Diane Parry L Angers R32 · Hard · 7 Dec 2022
- Diane Parry v Suzan Lamens W BJK Cup Finals RR · Hard · 11 Nov 2022
- Tatjana Maria v Diane Parry W Granby QF · Hard · 25 Aug 2022
- Camila Osorio v Diane Parry W Roland Garros R64 · Clay · 25 May 2022