WTA · Right-handed · 50 charted matches · 2013–2022
Ashleigh Barty
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 19,316 shots.
Shot expected value
The share of points Ashleigh Barty 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 · 1,341 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice crosscourt | 28% | 49.3%±4.1 | 40.4% |
| BH slice through the middle | 22% | 39.2%±4.6 | 34.4% |
| BH through the middle | 15% | 45.2%±5.6 | 43.3% |
| BH crosscourt | 13% | 48.7%±6.0 | 47.6% |
| BH slice down the line | 8% | 46.0%±7.2 | 31.7% |
| BH down the line | 5% | 52.0%±8.6 | 46.8% |
| FH inside-out | 3% | 57.5%±10.5 | 52.5% |
| FH inside-in | 3% | 60.9%±10.7 | 55.6% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 894 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 28% | 57.6%±4.9 | 52.7% |
| FH down the line | 23% | 48.0%±5.4 | 52.2% |
| FH through the middle | 15% | 56.8%±6.7 | 45.8% |
| BH slice through the middle | 7% | 54.0%±8.8 | 44.8% |
| BH through the middle | 7% | 43.3%±9.2 | 46.2% |
| BH slice crosscourt | 6% | 57.4%±9.5 | 49.5% |
| BH crosscourt | 5% | 41.8%±10.1 | 50.9% |
| BH slice down the line | 3% | 48.6%±11.5 | 43.9% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 852 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 60% | 48.5%±3.6 | 46.7% |
| FH through the middle | 19% | 49.3%±6.1 | 41.3% |
| FH down the line | 14% | 47.5%±6.9 | 44.9% |
| FH slice through the middle | 4% | 29.1%±10.5 | 29.2% |
| FH slice crosscourt | 1% | 31.3%±13.9 | 31.9% |
Return +1: drive to your backhand side
position worth 44% to the average player · 794 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice crosscourt | 25% | 48.1%±5.5 | 39.6% |
| BH slice through the middle | 22% | 44.8%±5.8 | 33.2% |
| BH through the middle | 19% | 42.5%±6.2 | 43.0% |
| BH crosscourt | 15% | 46.2%±6.9 | 47.8% |
| BH slice down the line | 6% | 36.3%±9.4 | 28.7% |
| BH down the line | 6% | 36.7%±9.8 | 46.2% |
| FH inside-out | 3% | 53.9%±12.8 | 55.4% |
| FH inside-in | 2% | 57.1%±13.4 | 55.6% |
Serve under pressure
Pressure predictability index +3 How much less varied Ashleigh Barty's first-serve direction gets on break points. Positive means easier to read. Based on 308 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 41% | 33% ▼ | 73% / 66% |
| Body | 8% | 15% | 64% / 57% |
| T | 51% | 52% | 78% / 68% |
1,785 normal · 73 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 46% | 31% ▼ | 73% / 66% |
| Body | 9% | 8% | 62% / 56% |
| T | 45% | 60% ▲ | 73% / 64% |
1,452 normal · 235 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 | 41% | 64.5%±2.8 n=755 | 42% ▲ |
| Body | 8% | 65.7%±5.8 n=154 | 0% ▼ |
| T | 51% | 64.4%±2.5 n=949 | 58% ▲ |
Consistent with an optimal mix (p = 0.92).
Optimal mix: +0.4 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 44% | 63.4%±2.8 n=745 | 38% ▼ |
| Body | 9% | 55.2%±6.1 n=150 | 0% ▼ |
| T | 47% | 66.4%±2.7 n=792 | 62% ▲ |
Off equilibrium (p = 0.006): serve T more. Gap 2.3 points per 100 first serves.
Optimal mix: +1.0 per 100 first serves.
Exploitability 0.69 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: −0.7±2.9 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. (1,264 repeats, 2,181 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 | 183 | 50% | +6.4±5.6 | |
| 1st | Ad court | T | 418 | 41% | +5.0±3.8 | |
| 1st | Ad court | Wide | 498 | 36% | +2.0±3.4 | |
| 1st | Deuce court | Body | 214 | 43% | +0.7±5.2 | |
| 1st | Deuce court | T | 512 | 38% | +6.2±3.4 | |
| 1st | Deuce court | Wide | 459 | 33% | −0.8±3.5 | |
| 2nd | Ad court | Body | 291 | 49% | −5.7±4.6 | |
| 2nd | Ad court | T | 99 | 62% | +7.4±7.0 | |
| 2nd | Ad court | Wide | 310 | 51% | −2.0±4.5 | |
| 2nd | Deuce court | Body | 320 | 52% | −2.9±4.4 | |
| 2nd | Deuce court | T | 306 | 54% | −2.5±4.5 | |
| 2nd | Deuce court | Wide | 106 | 56% | +2.2±7.0 |
Signature patterns
Recurring sequences that win more than Ashleigh Barty's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 3.0% · won 70% · +2.5±6.6 vs own baseline
- T serve (ad court) → FH crosscourt used 3.3% · won 66% · −1.9±6.6 vs own baseline
- T serve (deuce court) → FH crosscourt used 4.6% · won 61% · −6.9±5.9 vs own baseline
- Wide serve (deuce court) → FH down the line used 3.0% · won 59% · −8.9±7.2 vs own baseline
- T serve (ad court) → FH down the line used 2.3% · won 57% · −10.4±8.0 vs own baseline
Return
- vs wide serve (ad court) → BH slice crosscourt, mid used 2.1% · won 50% · +5.0±8.6 vs own baseline
- vs wide serve (deuce court) → FH through the middle, mid used 2.1% · won 48% · +2.8±8.6 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 2.2% · won 47% · +2.3±8.4 vs own baseline
- vs wide serve (deuce court) → FH crosscourt, mid used 2.2% · won 47% · +1.8±8.4 vs own baseline
- vs T serve (deuce court) → BH through the middle, mid used 2.8% · won 46% · +0.9±7.7 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH crosscourt used 5.6% · won 54% · +5.6±5.1 vs own baseline
- FH crosscourt → FH down the line used 4.3% · won 53% · +4.2±5.7 vs own baseline
- BH slice crosscourt → FH crosscourt used 2.4% · won 54% · +5.3±7.3 vs own baseline
- FH down the line → BH slice crosscourt used 1.9% · won 53% · +5.1±8.1 vs own baseline
- FH crosscourt → FH through the middle used 2.4% · won 52% · +4.1±7.3 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Ashleigh Barty wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH through the middle → FH crosscourt used 0.8% · won 59% · +9.1±8.3 vs own baseline · +7.0 vs tour on the same sequence Disrupted by Elina Svitolina (6/12), Shelby Rogers (8/9)
- T serve → FH through the middle return, short → FH crosscourt used 0.2% · won 66% · +16.4±11.5 vs own baseline · +30.4 vs tour on the same sequence
- T serve → FH through the middle return, mid → FH crosscourt used 0.3% · won 61% · +11.5±11.6 vs own baseline · +21.6 vs tour on the same sequence
- Wide serve → BH through the middle return, deep → FH crosscourt used 0.3% · won 59% · +9.5±11.1 vs own baseline · +17.8 vs tour on the same sequence Disrupted by Kiki Bertens (6/9)
- Wide serve → BH through the middle return, mid → FH crosscourt used 0.3% · won 59% · +9.2±10.9 vs own baseline · +9.0 vs tour on the same sequence
- BH slice crosscourt → BH slice crosscourt → FH inside-in used 0.2% · won 60% · +9.8±11.9 vs own baseline · +11.9 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
| T 2nd serve · deuce court | +4.8 | 305 |
| FH to their backhand · return | +3.3 | 271 |
| Wide 2nd serve · deuce court | +2.6 | 143 |
| T 2nd serve · ad court | +2.4 | 123 |
| FH to their forehand · serve +1 | +2.3 | 588 |
Most exposed to
| Wide 2nd serve · ad court | −1.2 | 310 |
| BH to the middle · serve +1 | −0.5 | 252 |
| Body 2nd serve · deuce court | −0.3 | 320 |
| T 2nd serve · deuce court | −0.3 | 306 |
| T 1st serve · ad court | −0.1 | 692 |
Active players who are best at the shot in the top weakness: Sloane Stephens, Karolina Muchova, Caroline Wozniacki, Ons Jabeur, Magda Linette
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Backhand slice | 60% | |
| Chipped returns | 31% | |
| T serves · deuce | 51% | |
| Run-around forehands | 17% | |
| T serves · ad | 47% | |
| Wide serves · ad | 44% | |
| Avg rally length | 4.2 | |
| Points at net | 8% | |
| Point-ending shots | 24.7% | |
| Unforced errors / shot | 10.8% | |
| Forehand share | 54% | |
| Wide serves · deuce | 41% | |
| Serve & volley | 0% | |
| Drop shots / shot | 1.3% | |
| Deep returns | 31% | |
| Through the middle | 27% | |
| FH down the line | 25% | |
| BH down the line | 17% | |
| 1st serve in | 58% |
Plays most like
- Polona Hercog 2013–2021 plan v
- Kiki Bertens 2012–2021 plan v
- Francesca Schiavone 2006–2017 plan v
- Clara Tauson 2020–2026 plan v
- Karolina Muchova 2019–2026 plan v
- Barbora Krejcikova 2017–2026 plan v
- Diane Parry 2021–2026 plan v
- Roberta Vinci 2012–2017 plan v
Closest from another era
- Lindsay Davenport 1995–2006
- Monica Seles 1990–2003
- Conchita Martinez 1993–2003
Charted matches
- Jessica Pegula v Ashleigh Barty W Australian Open QF · Hard · 25 Jan 2022
- Ashleigh Barty v Camila Giorgi W Australian Open R32 · Hard · 22 Jan 2022
- Iga Swiatek v Ashleigh Barty W Adelaide SF · Hard · 8 Jan 2022
- Ashleigh Barty v Sofia Kenin W Adelaide QF · Hard · 7 Jan 2022
- Ashleigh Barty v Shelby Rogers L US Open R32 · Hard · 4 Sep 2021
- Ashleigh Barty v Jil Teichmann W Cincinnati F · Hard · 22 Aug 2021
- Victoria Azarenka v Ashleigh Barty W Cincinnati R16 · Hard · 19 Aug 2021
- Ashleigh Barty v Carla Suarez Navarro W Wimbledon R128 · Grass · 29 Jun 2021
- Ashleigh Barty v Petra Kvitova W Madrid QF · Clay · 5 May 2021
- Iga Swiatek v Ashleigh Barty W Madrid R16 · Clay · 3 May 2021
- Karolina Pliskova v Ashleigh Barty W Stuttgart QF · Clay · 23 Apr 2021
- Ashleigh Barty v Laura Siegemund W Stuttgart R16 · Clay · 21 Apr 2021