WTA · Right-handed · 42 charted matches · 2021–2026
Liudmila Samsonova
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 13,182 shots.
Shot expected value
The share of points Liudmila Samsonova 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 · 733 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 32% | 47.6%±5.2 | 52.7% |
| FH down the line | 22% | 50.2%±6.1 | 52.2% |
| FH through the middle | 18% | 46.5%±6.6 | 45.8% |
| BH through the middle | 14% | 39.2%±7.2 | 46.2% |
| BH crosscourt | 10% | 53.3%±8.4 | 50.9% |
| BH down the line | 3% | 46.3%±12.8 | 50.0% |
Return +1: drive to your middle
position worth 50% to the average player · 572 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 30% | 50.8%±5.9 | 52.3% |
| BH through the middle | 19% | 46.7%±7.2 | 46.2% |
| FH through the middle | 19% | 51.8%±7.3 | 46.5% |
| FH down the line | 15% | 54.9%±8.0 | 53.0% |
| BH crosscourt | 10% | 54.6%±9.2 | 50.8% |
| BH down the line | 4% | 36.6%±11.9 | 50.6% |
| FH crosscourt + approach | 3% | 69.6%±12.8 | 66.8% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 527 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 42% | 43.0%±5.2 | 47.6% |
| BH through the middle | 36% | 39.4%±5.5 | 43.3% |
| BH down the line | 11% | 42.6%±9.3 | 46.8% |
| BH slice through the middle | 4% | 32.2%±12.2 | 34.4% |
| FH inside-out | 3% | 61.9%±13.0 | 52.5% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 513 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 53% | 47.9%±4.8 | 46.7% |
| FH through the middle | 29% | 37.7%±6.1 | 41.3% |
| FH down the line | 14% | 42.2%±8.6 | 44.9% |
| FH slice through the middle | 3% | 19.0%±10.8 | 29.2% |
Serve under pressure
Pressure predictability index +1 How much less varied Liudmila Samsonova's first-serve direction gets on break points. Positive means easier to read. Based on 315 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 51% | 51% | 69% / 66% |
| Body | 16% | 16% | 66% / 57% |
| T | 34% | 33% | 81% / 68% |
1,509 normal · 82 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 40% | 38% | 72% / 66% |
| Body | 20% | 18% | 59% / 56% |
| T | 40% | 44% | 70% / 64% |
1,223 normal · 233 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 | 51% | 60.5%±2.8 n=806 | 50% |
| Body | 16% | 61.5%±4.8 n=251 | 1% ▼ |
| T | 34% | 61.5%±3.4 n=534 | 49% ▲ |
Consistent with an optimal mix (p = 0.90).
Optimal mix: +0.4 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 40% | 60.3%±3.3 n=581 | 46% ▲ |
| Body | 20% | 57.7%±4.6 n=287 | 5% ▼ |
| T | 40% | 60.4%±3.2 n=588 | 49% ▲ |
Consistent with an optimal mix (p = 0.64).
Optimal mix: +0.5 per 100 first serves.
Exploitability 0.48 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: −2.1±2.4 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. (1,045 repeats, 1,918 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 | 173 | 40% | −3.9±5.7 | |
| 1st | Ad court | T | 345 | 35% | −1.0±4.0 | |
| 1st | Ad court | Wide | 414 | 35% | +0.8±3.7 | |
| 1st | Deuce court | Body | 256 | 43% | +0.7±4.8 | |
| 1st | Deuce court | T | 386 | 29% | −2.9±3.7 | |
| 1st | Deuce court | Wide | 399 | 31% | −3.2±3.7 | |
| 2nd | Ad court | Body | 210 | 51% | −3.6±5.3 | |
| 2nd | Ad court | T | 66 | 55% | −0.3±8.4 | |
| 2nd | Ad court | Wide | 263 | 58% | +4.2±4.7 | |
| 2nd | Deuce court | Body | 241 | 55% | +1.0±5.0 | |
| 2nd | Deuce court | T | 209 | 53% | −2.5±5.3 | |
| 2nd | Deuce court | Wide | 97 | 49% | −4.8±7.3 |
Signature patterns
Recurring sequences that win more than Liudmila Samsonova's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- T serve (deuce court) → FH crosscourt used 2.1% · won 63% · −1.9±8.6 vs own baseline
- Body serve (deuce court) → FH down the line used 2.2% · won 61% · −3.3±8.5 vs own baseline
- Body serve (ad court) → FH down the line used 2.1% · won 59% · −5.4±8.7 vs own baseline
- Wide serve (deuce court) → FH down the line used 3.3% · won 60% · −4.6±7.4 vs own baseline
- T serve (ad court) → FH crosscourt used 2.0% · won 59% · −5.9±8.8 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, deep used 3.7% · won 55% · +14.2±7.3 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 3.5% · won 55% · +14.0±7.5 vs own baseline
- vs wide serve (ad court) → BH crosscourt, deep used 2.1% · won 58% · +17.3±8.9 vs own baseline
- vs wide serve (ad court) → BH through the middle, deep used 3.5% · won 54% · +12.7±7.5 vs own baseline
- vs T serve (ad court) → FH through the middle, deep used 2.3% · won 53% · +12.3±8.7 vs own baseline
Rally, consecutive own shots
- FH through the middle → FH crosscourt used 5.1% · won 54% · +8.7±7.5 vs own baseline
- FH down the line → FH crosscourt used 2.2% · won 52% · +7.2±10.1 vs own baseline
- FH crosscourt → FH down the line used 6.0% · won 49% · +4.1±7.0 vs own baseline
- BH crosscourt → FH crosscourt used 3.7% · won 50% · +4.3±8.5 vs own baseline
- FH crosscourt → BH crosscourt used 4.4% · won 49% · +3.9±8.0 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Liudmila Samsonova wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- BH through the middle return, deep → FH down the line → BH crosscourt used 0.4% · won 57% · +10.7±11.5 vs own baseline · +17.8 vs tour on the same sequence
- FH down the line → BH crosscourt → BH crosscourt used 0.6% · won 55% · +8.8±10.6 vs own baseline · +13.4 vs tour on the same sequence
- FH through the middle → FH through the middle → FH down the line used 0.4% · won 56% · +9.2±12.1 vs own baseline · +15.4 vs tour on the same sequence
- FH crosscourt → FH slice through the middle → FH down the line used 0.3% · won 56% · +9.4±12.3 vs own baseline · +6.3 vs tour on the same sequence
- FH crosscourt → FH through the middle → BH crosscourt used 0.5% · won 54% · +7.3±11.1 vs own baseline · +7.6 vs tour on the same sequence
- FH through the middle → FH through the middle → FH crosscourt used 0.7% · won 52% · +5.9±10.1 vs own baseline · +4.5 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
| T 1st serve · deuce court | +1.4 | 510 |
| FH to their backhand · serve +1 | +0.7 | 424 |
| Wide 1st serve · ad court | +0.1 | 569 |
| Body 2nd serve · deuce court | −0.1 | 453 |
| Wide 2nd serve · ad court | −0.1 | 225 |
Most exposed to
| T 1st serve · deuce court | −2.2 | 596 |
| FH to the middle · return +1 | −1.2 | 200 |
| Body 2nd serve · deuce court | −1.2 | 239 |
| FH to their forehand · rally | −1.2 | 573 |
| T 1st serve · ad court | −0.8 | 524 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Sara Sorribes Tormo +1.85, Caroline Wozniacki +1.34, Tatjana Maria +1.10, Daria Kasatkina +0.74, Sara Errani +0.69
Favourable matchups
Sara Errani +0.48, Angelique Kerber +0.11, Marie Bouzkova −0.09, Elina Avanesyan −0.11, Katie Volynets −0.28
Active players who are best at the shot in the top weakness: Serena Williams, Madison Keys, Ashlyn Krueger, Karolina Pliskova, Victoria Mboko
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Point-ending shots | 36.5% | |
| Forehand share | 63% | |
| Unforced errors / shot | 15.5% | |
| Wide serves · deuce | 51% | |
| Deep returns | 38% | |
| Run-around forehands | 13% | |
| Through the middle | 31% | |
| T serves · ad | 40% | |
| Serve & volley | 1% | |
| Wide serves · ad | 40% | |
| Drop shots / shot | 1.3% | |
| T serves · deuce | 34% | |
| Points at net | 5% | |
| Backhand slice | 6% | |
| Chipped returns | 3% | |
| FH down the line | 25% | |
| BH down the line | 14% | |
| 1st serve in | 56% | |
| Avg rally length | 3.2 |
Plays most like
- Xin Yu Wang 2019–2026 plan v
- Rebecca Marino 2018–2024 plan v
- Coco Vandeweghe 2014–2018 plan v
- Jule Niemeier 2021–2025 plan v
- Madison Keys 2014–2026 plan v
- Caroline Garcia 2013–2025 plan v
- Lulu Sun 2022–2025 plan v
- Jessica Bouzas Maneiro 2024–2026 plan v
Closest from another era
- Daniela Hantuchova 2002–2015
- Jelena Dokic 2000–2009
- Lindsay Davenport 1995–2006
Charted matches
- Elena Rybakina v Liudmila Samsonova L Toronto R16 · Hard · 9 Aug 2026
- Ashlyn Krueger v Liudmila Samsonova L Indian Wells R64 · Hard · 7 Mar 2026
- Lois Boisson v Liudmila Samsonova L Beijing R64 · Hard · 27 Sep 2025
- Iga Swiatek v Liudmila Samsonova L Wimbledon QF · Grass · 9 Jul 2025
- Amanda Anisimova v Liudmila Samsonova W Berlin QF · Grass · 20 Jun 2025
- Ekaterina Alexandrova v Liudmila Samsonova L Stuttgart R32 · Clay · 15 Apr 2025
- Aryna Sabalenka v Liudmila Samsonova L Indian Wells QF · Hard · 13 Mar 2025
- Jasmine Paolini v Liudmila Samsonova W Indian Wells R16 · Hard · 12 Mar 2025
- Liudmila Samsonova v Daria Kasatkina W Indian Wells R32 · Hard · 10 Mar 2025
- Lulu Sun v Liudmila Samsonova W Doha R64 · Hard · 9 Feb 2025
- Liudmila Samsonova v Olga Danilovic L Australian Open R64 · Hard · 14 Jan 2025
- Ashlyn Krueger v Liudmila Samsonova W US Open R32 · Hard · 31 Aug 2024