WTA · Right-handed · 28 charted matches · 2009–2022
Samantha Stosur
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 10,071 shots.
Shot expected value
The share of points Samantha Stosur 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 · 747 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice crosscourt | 22% | 32.7%±5.7 | 40.4% |
| BH through the middle | 18% | 36.6%±6.4 | 43.3% |
| BH slice through the middle | 14% | 31.1%±6.8 | 34.4% |
| BH crosscourt | 12% | 42.0%±7.9 | 47.6% |
| BH down the line | 11% | 41.3%±7.9 | 46.8% |
| FH inside-out | 9% | 49.4%±9.0 | 52.5% |
| FH inside-in | 6% | 46.2%±10.3 | 55.6% |
| BH slice down the line | 4% | 32.7%±10.9 | 31.7% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 481 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 37% | 38.7%±5.8 | 46.7% |
| FH down the line | 28% | 41.9%±6.7 | 44.9% |
| FH through the middle | 26% | 40.5%±6.8 | 41.3% |
| FH down the line + approach | 3% | 71.7%±12.5 | 65.4% |
| FH slice through the middle | 3% | 29.8%±13.1 | 29.2% |
| FH slice down the line | 3% | 21.5%±11.9 | 24.3% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 465 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 35% | 53.8%±6.1 | 52.2% |
| FH crosscourt | 23% | 50.8%±7.2 | 52.7% |
| FH through the middle | 18% | 45.3%±8.0 | 45.8% |
| BH through the middle | 6% | 44.3%±11.8 | 46.2% |
| BH slice through the middle | 3% | 47.1%±13.7 | 44.8% |
| BH down the line | 3% | 44.5%±13.6 | 50.0% |
| FH down the line + approach | 3% | 62.0%±13.5 | 68.6% |
| BH slice crosscourt | 3% | 45.2%±14.3 | 49.5% |
Return +1: drive to your backhand side
position worth 44% to the average player · 356 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice through the middle | 23% | 30.3%±7.5 | 33.2% |
| BH slice crosscourt | 17% | 49.3%±9.1 | 39.6% |
| BH through the middle | 16% | 40.3%±9.3 | 43.0% |
| BH crosscourt | 12% | 41.9%±10.4 | 47.8% |
| BH down the line | 11% | 39.4%±10.5 | 46.2% |
| FH inside-out | 6% | 60.7%±12.3 | 55.4% |
| BH slice down the line | 6% | 28.0%±11.4 | 28.7% |
| FH through the middle | 5% | 41.7%±13.2 | 44.2% |
Serve under pressure
Pressure predictability index +7 How much less varied Samantha Stosur's first-serve direction gets on break points. Positive means easier to read. Based on 229 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 38% | 37% | 68% / 66% |
| Body | 19% | 18% | 56% / 57% |
| T | 43% | 45% | 64% / 68% |
974 normal · 67 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 40% | 28% ▼ | 64% / 66% |
| Body | 16% | 12% | 59% / 56% |
| T | 44% | 60% ▲ | 73% / 64% |
793 normal · 162 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 | 38% | 53.7%±4.0 n=396 | 38% |
| Body | 19% | 49.8%±5.4 n=198 | 4% ▼ |
| T | 43% | 55.1%±3.7 n=447 | 58% ▲ |
Consistent with an optimal mix (p = 0.35).
Optimal mix: +0.5 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 38% | 58.0%±4.1 n=366 | 38% |
| Body | 15% | 52.1%±6.2 n=146 | 0% ▼ |
| T | 46% | 61.6%±3.7 n=443 | 62% ▲ |
Consistent with an optimal mix (p = 0.05).
Optimal mix: +1.1 per 100 first serves.
Exploitability 0.81 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: −0.6±3.8 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. (619 repeats, 1,321 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 | 141 | 42% | −1.7±6.2 | |
| 1st | Ad court | T | 220 | 31% | −4.5±4.8 | |
| 1st | Ad court | Wide | 245 | 35% | +0.9±4.7 | |
| 1st | Deuce court | Body | 142 | 42% | −0.9±6.2 | |
| 1st | Deuce court | T | 289 | 32% | −0.6±4.3 | |
| 1st | Deuce court | Wide | 228 | 26% | −8.4±4.5 | |
| 2nd | Ad court | Body | 111 | 56% | +1.4±6.9 | |
| 2nd | Ad court | T | 60 | 48% | −6.7±8.7 | |
| 2nd | Ad court | Wide | 136 | 50% | −3.5±6.4 | |
| 2nd | Deuce court | Body | 109 | 53% | −1.0±7.0 | |
| 2nd | Deuce court | T | 137 | 51% | −5.2±6.4 | |
| 2nd | Deuce court | Wide | 90 | 43% | −10.3±7.4 |
Signature patterns
Recurring sequences that win more than Samantha Stosur'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 67% · +5.6±9.1 vs own baseline
- Body serve (deuce court) → FH crosscourt used 2.0% · won 61% · −1.3±10.2 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 2.0% · won 59% · −2.9±10.3 vs own baseline
- T serve (ad court) → FH down the line used 3.7% · won 59% · −3.3±8.6 vs own baseline
- T serve (deuce court) → FH crosscourt used 3.2% · won 56% · −5.6±9.0 vs own baseline
Return
- vs body serve (ad court) → FH down the line, mid used 2.6% · won 54% · +12.5±10.4 vs own baseline
- vs T serve (ad court) → FH through the middle, deep used 3.4% · won 49% · +7.1±9.6 vs own baseline
- vs T serve (deuce court) → BH through the middle, deep used 2.7% · won 49% · +7.7±10.3 vs own baseline
- vs wide serve (ad court) → BH crosscourt, short used 2.0% · won 50% · +8.4±11.1 vs own baseline
- vs T serve (ad court) → FH through the middle, mid used 2.9% · won 48% · +6.2±10.1 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH down the line used 4.4% · won 52% · +9.6±7.9 vs own baseline
- FH down the line → FH down the line used 2.8% · won 53% · +10.4±9.3 vs own baseline
- FH through the middle → FH crosscourt used 3.6% · won 50% · +7.7±8.5 vs own baseline
- FH down the line → FH through the middle used 1.7% · won 50% · +7.9±10.7 vs own baseline
- FH down the line → FH crosscourt used 2.0% · won 50% · +7.1±10.3 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Samantha Stosur 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 58% · +14.2±12.4 vs own baseline · +20.1 vs tour on the same sequence
- FH down the line → BH through the middle → FH crosscourt used 0.6% · won 55% · +10.6±11.0 vs own baseline · +6.3 vs tour on the same sequence Disrupted by Caroline Wozniacki (6/9), Elena Dementieva (5/6)
- T serve → BH through the middle return, mid → FH crosscourt used 0.4% · won 57% · +12.8±12.3 vs own baseline · +20.3 vs tour on the same sequence
- FH crosscourt → FH through the middle → FH down the line used 0.5% · won 55% · +11.4±11.9 vs own baseline · +14.6 vs tour on the same sequence
- FH crosscourt → FH crosscourt → FH down the line used 1.4% · won 49% · +5.5±8.6 vs own baseline · +3.8 vs tour on the same sequence Disrupted by Sara Errani (2/7), Elina Svitolina (7/15)
- T serve → FH through the middle return, deep → FH down the line used 0.4% · won 53% · +9.4±12.2 vs own baseline · +19.5 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 · ad court | +2.7 | 443 |
| FH to their forehand · serve +1 | +2.6 | 304 |
| BH slice to the middle · rally | +2.1 | 205 |
| T 2nd serve · deuce court | +2.0 | 239 |
| BH to the middle · rally | +1.5 | 245 |
Most exposed to
| BH to their forehand · rally | −3.2 | 222 |
| Wide 1st serve · deuce court | −2.7 | 335 |
| T 2nd serve · deuce court | −2.6 | 137 |
| BH to their backhand · return | −2.4 | 299 |
| Wide 2nd serve · ad court | −2.4 | 136 |
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% | |
| BH down the line | 33% | |
| Forehand share | 62% | |
| Backhand slice | 48% | |
| FH down the line | 37% | |
| T serves · ad | 46% | |
| Points at net | 11% | |
| T serves · deuce | 43% | |
| Unforced errors / shot | 11.4% | |
| Chipped returns | 13% | |
| Serve & volley | 2% | |
| Point-ending shots | 24.8% | |
| Deep returns | 33% | |
| 1st serve in | 62% | |
| Avg rally length | 4.0 | |
| Wide serves · ad | 38% | |
| Wide serves · deuce | 38% | |
| Through the middle | 27% | |
| Drop shots / shot | 1.0% |
Plays most like
- Diane Parry 2021–2026 plan v
- Daria Saville 2015–2024 plan v
- Ana Ivanovic 2007–2016 plan v
- Christina Mchale 2012–2021 plan v
- Karolina Muchova 2019–2026 plan v
- Svetlana Kuznetsova 2004–2021 plan v
- Katie Boulter 2018–2025 plan v
- Madison Keys 2014–2026 plan v
Closest from another era
- Lindsay Davenport 1995–2006
- Monica Seles 1990–2003
- Mary Pierce 1994–2005
Charted matches
- Harmony Tan v Samantha Stosur L Strasbourg R32 · Clay · 15 May 2022
- Samantha Stosur v Anastasia Pavlyuchenkova L Australian Open R64 · Hard · 20 Jan 2022
- Robin Anderson v Samantha Stosur Australian Open R128 · Hard · 18 Jan 2022
- Samantha Stosur v Jessica Pegula L Australian Open R64 · Hard · 11 Feb 2021
- Destanee Aiava v Samantha Stosur W Australian Open R128 · Hard · 9 Feb 2021
- Samantha Stosur v Dayana Yastremska L Australian Open R128 · Hard · 15 Jan 2019
- Samantha Stosur v Marie Bouzkova L Brisbane R32 · Hard · 31 Dec 2018
- Samantha Stosur v Caroline Wozniacki L US Open R128 · Hard · 28 Aug 2018
- Samantha Stosur v Garbine Muguruza L Roland Garros SF · Clay · 3 Jun 2016
- Samantha Stosur v Lucie Safarova L Prague F · Clay · 30 Apr 2016
- Samantha Stosur v Carla Suarez Navarro L Brisbane R16 · Hard · 5 Jan 2016
- Caroline Wozniacki v Samantha Stosur L Dubai R32 · Hard · 16 Feb 2015