WTA · Right-handed · 36 charted matches · 2014–2026
Anastasia Pavlyuchenkova
Archetype: First-strike aggressor · Short-point player
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 10,190 shots.
Shot expected value
The share of points Anastasia Pavlyuchenkova 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 50% to the average player · 491 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 29% | 50.0%±6.4 | 52.7% |
| FH down the line | 19% | 54.9%±7.7 | 52.2% |
| FH through the middle | 15% | 38.5%±8.3 | 45.8% |
| BH through the middle | 13% | 49.1%±8.9 | 46.2% |
| BH crosscourt | 11% | 37.8%±9.4 | 50.9% |
| BH down the line | 9% | 40.3%±10.2 | 50.0% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 448 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 47% | 48.2%±5.4 | 46.7% |
| FH down the line | 25% | 42.4%±7.1 | 44.9% |
| FH through the middle | 23% | 35.8%±7.2 | 41.3% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 397 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 42% | 40.9%±5.9 | 47.6% |
| BH through the middle | 25% | 43.4%±7.5 | 43.3% |
| BH down the line | 21% | 34.3%±7.7 | 46.8% |
| BH drop shot down the line | 6% | 47.2%±12.7 | 49.1% |
| BH slice through the middle | 3% | 35.1%±14.1 | 34.4% |
| BH slice down the line | 3% | 27.8%±13.5 | 31.7% |
Return +1: drive to your middle
position worth 50% to the average player · 320 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 28% | 52.3%±7.9 | 52.3% |
| FH down the line | 17% | 49.5%±9.6 | 53.0% |
| BH through the middle | 15% | 39.2%±9.8 | 46.2% |
| BH crosscourt | 13% | 55.1%±10.4 | 50.8% |
| FH through the middle | 13% | 51.3%±10.5 | 46.5% |
| BH down the line | 12% | 56.4%±10.8 | 50.6% |
Serve under pressure
Pressure predictability index +2 How much less varied Anastasia Pavlyuchenkova's first-serve direction gets on break points. Positive means easier to read. Based on 287 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 39% | 59% ▲ | 65% / 66% |
| Body | 19% | 20% | 53% / 57% |
| T | 41% | 21% ▼ | 65% / 68% |
1,148 normal · 61 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 46% | 38% | 65% / 66% |
| Body | 20% | 19% | 59% / 56% |
| T | 34% | 43% ▲ | 59% / 64% |
902 normal · 226 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 | 40% | 60.3%±3.5 n=488 | 55% ▲ |
| Body | 19% | 50.2%±5.1 n=235 | 4% ▼ |
| T | 40% | 53.0%±3.6 n=486 | 41% |
Off equilibrium (p = 0.004): serve wide more. Gap 4.9 points per 100 first serves.
Optimal mix: +0.8 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 45% | 52.3%±3.6 n=503 | 54% ▲ |
| Body | 20% | 49.0%±5.2 n=224 | 5% ▼ |
| T | 36% | 53.0%±4.0 n=401 | 41% ▲ |
Consistent with an optimal mix (p = 0.50).
Optimal mix: +0.4 per 100 first serves.
Exploitability 0.60 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: +2.4±3.5 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. (815 repeats, 1,450 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 | 132 | 41% | −3.0±6.4 | |
| 1st | Ad court | T | 236 | 35% | −0.7±4.8 | |
| 1st | Ad court | Wide | 264 | 28% | −6.4±4.3 | |
| 1st | Deuce court | Body | 163 | 35% | −8.0±5.6 | |
| 1st | Deuce court | T | 234 | 25% | −7.3±4.4 | |
| 1st | Deuce court | Wide | 311 | 35% | +0.9±4.2 | |
| 2nd | Ad court | Body | 185 | 51% | −4.1±5.6 | |
| 2nd | Ad court | T | 75 | 47% | −7.9±8.0 | |
| 2nd | Ad court | Wide | 173 | 56% | +2.7±5.7 | |
| 2nd | Deuce court | Body | 238 | 50% | −4.0±5.0 | |
| 2nd | Deuce court | T | 111 | 58% | +2.0±6.8 | |
| 2nd | Deuce court | Wide | 119 | 50% | −3.3±6.7 |
Signature patterns
Recurring sequences that win more than Anastasia Pavlyuchenkova's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 2.7% · won 62% · +3.3±8.8 vs own baseline
- T serve (deuce court) → FH crosscourt used 2.3% · won 53% · −5.7±9.4 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 2.2% · won 51% · −7.0±9.6 vs own baseline
- Body serve (deuce court) → FH through the middle used 2.2% · won 51% · −7.0±9.6 vs own baseline
- Body serve (deuce court) → BH crosscourt used 2.2% · won 51% · −7.0±9.6 vs own baseline
Return
- vs body serve (ad court) → BH crosscourt, mid used 2.0% · won 60% · +19.6±10.2 vs own baseline
- vs T serve (ad court) → FH through the middle, mid used 3.2% · won 54% · +14.3±9.0 vs own baseline
- vs wide serve (ad court) → BH through the middle, deep used 2.4% · won 51% · +10.7±9.9 vs own baseline
- vs wide serve (ad court) → BH through the middle, mid used 3.4% · won 48% · +8.2±8.8 vs own baseline
- vs T serve (ad court) → FH through the middle, deep used 2.0% · won 50% · +10.0±10.4 vs own baseline
Rally, consecutive own shots
- BH crosscourt → FH crosscourt used 4.9% · won 56% · +10.1±8.6 vs own baseline
- FH crosscourt → FH crosscourt used 8.3% · won 53% · +6.7±7.1 vs own baseline
- FH down the line → FH down the line used 1.9% · won 59% · +13.3±11.3 vs own baseline
- FH through the middle → FH crosscourt used 4.0% · won 52% · +5.7±9.3 vs own baseline
- BH through the middle → FH down the line used 3.4% · won 51% · +5.2±9.8 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Anastasia Pavlyuchenkova wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Wide serve → BH through the middle return, mid → FH crosscourt used 0.4% · won 55% · +10.1±12.3 vs own baseline · +10.7 vs tour on the same sequence
- FH crosscourt → FH crosscourt → FH crosscourt used 1.8% · won 50% · +4.7±8.1 vs own baseline · +3.0 vs tour on the same sequence Disrupted by Maria Sharapova (1/6), Belinda Bencic (3/7)
- FH down the line → BH through the middle → FH down the line used 0.4% · won 54% · +9.2±12.8 vs own baseline · +15.7 vs tour on the same sequence
- BH crosscourt → BH through the middle → FH crosscourt used 1.1% · won 50% · +5.3±9.8 vs own baseline · −0.5 vs tour on the same sequence Disrupted by Karolina Pliskova (4/8)
- FH down the line → BH through the middle → FH crosscourt used 0.5% · won 52% · +6.5±12.0 vs own baseline · +2.1 vs tour on the same sequence
- FH through the middle → FH crosscourt → FH through the middle used 0.5% · won 52% · +6.5±12.0 vs own baseline · +17.9 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 · rally | +0.7 | 545 |
| Wide 2nd serve · deuce court | +0.5 | 134 |
| Body 1st serve · deuce court | +0.5 | 235 |
| Wide 1st serve · deuce court | +0.2 | 488 |
| FH to the middle · serve +1 | +0.2 | 206 |
Most exposed to
| BH to their forehand · serve +1 | −4.4 | 141 |
| BH to their backhand · serve +1 | −3.0 | 204 |
| BH to their backhand · rally | −3.0 | 308 |
| FH to their backhand · rally | −2.9 | 316 |
| FH to their forehand · rally | −1.9 | 443 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Caroline Wozniacki +3.32, Sara Sorribes Tormo +3.14, Daria Kasatkina +2.61, Angelique Kerber +2.56, Sara Errani +2.49
Favourable matchups
Sara Errani +1.02, Angelique Kerber +0.63, Elina Avanesyan +0.41, Marie Bouzkova +0.37, Katie Volynets +0.19
Active players who are best at the shot in the top weakness: Iga Swiatek, Belinda Bencic, Leylah Fernandez, Coco Gauff, Linda Noskova
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Point-ending shots | 31.4% | |
| Unforced errors / shot | 13.1% | |
| Forehand share | 57% | |
| Drop shots / shot | 2.3% | |
| BH down the line | 24% | |
| FH down the line | 32% | |
| T serves · deuce | 40% | |
| Wide serves · ad | 45% | |
| Points at net | 8% | |
| Wide serves · deuce | 40% | |
| Serve & volley | 0% | |
| T serves · ad | 36% | |
| Through the middle | 28% | |
| Chipped returns | 7% | |
| Run-around forehands | 4% | |
| Deep returns | 30% | |
| 1st serve in | 60% | |
| Backhand slice | 6% | |
| Avg rally length | 3.3 |
Plays most like
- Aliaksandra Sasnovich 2015–2025 plan v
- Sabine Lisicki 2009–2022 plan v
- Eugenie Bouchard 2013–2023 plan v
- Viktoria Hruncakova 2018–2026 plan v
- Veronika Kudermetova 2018–2025 plan v
- Anett Kontaveit 2015–2023 plan v
- Ekaterina Alexandrova 2017–2026 plan v
- Daniela Hantuchova 2002–2015 plan v
Closest from another era
- Jelena Dokic 2000–2009
- Lindsay Davenport 1995–2006
- Elena Dementieva 1999–2010
Charted matches
- Anastasia Pavlyuchenkova v Alexandra Eala Madrid R128 · Clay · 22 Apr 2026
- Anastasia Pavlyuchenkova v Victoria Azarenka L US Open R64 · Hard · 27 Aug 2025
- Anastasia Pavlyuchenkova v Aoi Ito L Cincinnati R64 · Hard · 10 Aug 2025
- Anastasia Pavlyuchenkova v Amanda Anisimova L Wimbledon QF · Grass · 8 Jul 2025
- Anastasia Pavlyuchenkova v Magda Linette L Miami R128 · Hard · 18 Mar 2025
- Anastasia Pavlyuchenkova v Iga Swiatek L US Open R32 · Hard · 31 Aug 2024
- Taylah Preston v Anastasia Pavlyuchenkova W US Open R128 · Hard · 27 Aug 2024
- Anastasia Pavlyuchenkova v Victoria Azarenka L Toronto R64 · Hard · 6 Aug 2024
- Anastasia Pavlyuchenkova v Elena Rybakina L Doha SF · Hard · 16 Feb 2024
- Anastasia Pavlyuchenkova v Danielle Collins W Doha QF · Hard · 15 Feb 2024
- Jelena Ostapenko v Anastasia Pavlyuchenkova L Linz SF · Hard · 3 Feb 2024
- Anastasia Pavlyuchenkova v Fiona Crawley W US Open R128 · Hard · 29 Aug 2023