WTA · Left-handed · 17 charted matches · 2015–2026
Taylor Townsend
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 5,996 shots.
Shot expected value
The share of points Taylor Townsend 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 · 282 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 33% | 52.3%±7.8 | 47.6% |
| BH through the middle | 26% | 39.4%±8.3 | 43.3% |
| BH slice through the middle | 12% | 37.5%±10.9 | 34.4% |
| BH down the line | 11% | 47.7%±11.5 | 46.8% |
| BH slice crosscourt | 9% | 40.2%±12.0 | 40.4% |
| BH slice down the line | 7% | 33.4%±12.3 | 31.7% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 240 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 50% | 42.0%±6.9 | 46.7% |
| FH down the line | 22% | 43.0%±9.6 | 44.9% |
| FH through the middle | 16% | 43.6%±10.7 | 41.3% |
| FH slice through the middle | 7% | 29.3%±12.3 | 29.2% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 221 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 35% | 39.7%±8.2 | 52.7% |
| FH down the line | 17% | 57.7%±10.7 | 52.2% |
| FH through the middle | 14% | 37.6%±11.2 | 45.8% |
| BH crosscourt | 14% | 50.4%±11.6 | 50.9% |
| BH through the middle | 12% | 37.5%±11.7 | 46.2% |
| BH down the line | 6% | 39.4%±14.0 | 50.0% |
Return +1: drive to your backhand side
position worth 44% to the average player · 201 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 31% | 39.8%±8.9 | 43.0% |
| BH crosscourt | 29% | 51.3%±9.3 | 47.8% |
| BH slice through the middle | 12% | 34.8%±11.7 | 33.2% |
| BH down the line | 12% | 43.7%±12.3 | 46.2% |
| BH slice down the line | 5% | 34.7%±14.1 | 28.7% |
Serve under pressure
Pressure predictability index +11 How much less varied Taylor Townsend's first-serve direction gets on break points. Positive means easier to read. Based on 139 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 35% | 56% ▲ | 64% / 66% |
| Body | 25% | 3% ▼ | 55% / 57% |
| T | 41% | 41% | 65% / 68% |
643 normal · 32 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 42% | 52% ▲ | 69% / 66% |
| Body | 17% | 12% | 58% / 56% |
| T | 41% | 36% | 62% / 64% |
508 normal · 107 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 | 36% | 55.0%±5.0 n=240 | 41% ▲ |
| Body | 24% | 52.4%±6.0 n=159 | 8% ▼ |
| T | 41% | 56.2%±4.7 n=276 | 51% ▲ |
Consistent with an optimal mix (p = 0.66).
Optimal mix: +0.5 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 44% | 62.6%±4.6 n=270 | 59% ▲ |
| Body | 16% | 60.5%±7.1 n=99 | 1% ▼ |
| T | 40% | 57.0%±4.9 n=246 | 40% |
Consistent with an optimal mix (p = 0.32).
Optimal mix: +0.7 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: −0.5±3.9 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. (427 repeats, 829 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 | 74 | 36% | −8.2±7.7 | |
| 1st | Ad court | T | 197 | 36% | +0.4±5.2 | |
| 1st | Ad court | Wide | 122 | 30% | −4.0±6.1 | |
| 1st | Deuce court | Body | 88 | 46% | +3.0±7.5 | |
| 1st | Deuce court | T | 119 | 27% | −4.9±6.0 | |
| 1st | Deuce court | Wide | 219 | 33% | −1.4±4.9 | |
| 2nd | Ad court | Body | 96 | 54% | −0.7±7.3 | |
| 2nd | Ad court | T | 98 | 54% | −1.5±7.3 | |
| 2nd | Ad court | Wide | 42 | 56% | +2.1±9.6 | |
| 2nd | Deuce court | Body | 122 | 55% | +1.0±6.6 | |
| 2nd | Deuce court | T | 29 | 59% | +3.0±10.5 | |
| 2nd | Deuce court | Wide | 94 | 48% | −5.3±7.4 |
Signature patterns
Recurring sequences that win more than Taylor Townsend's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Body serve (ad court) → FH crosscourt used 3.4% · won 58% · −4.2±10.5 vs own baseline
- T serve (ad court) → FH crosscourt used 2.7% · won 55% · −7.1±11.2 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 3.0% · won 53% · −9.0±11.0 vs own baseline
- T serve (deuce court) → FH down the line used 3.0% · won 53% · −9.0±11.0 vs own baseline
- Body serve (deuce court) → FH crosscourt used 4.1% · won 54% · −7.9±10.0 vs own baseline
Return
- vs T serve (ad court) → BH down the line, mid used 3.5% · won 50% · +6.7±11.2 vs own baseline
- vs wide serve (deuce court) → BH crosscourt, mid used 4.4% · won 48% · +5.1±10.6 vs own baseline
- vs T serve (ad court) → BH through the middle, deep used 5.4% · won 48% · +4.5±10.0 vs own baseline
- vs T serve (ad court) → BH through the middle, mid used 4.7% · won 42% · −1.3±10.3 vs own baseline
- vs wide serve (deuce court) → BH through the middle, deep used 4.4% · won 35% · −8.2±10.1 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH down the line used 13.3% · won 53% · +8.1±8.5 vs own baseline
- BH through the middle → BH crosscourt used 6.0% · won 50% · +5.1±11.1 vs own baseline
- BH crosscourt → FH crosscourt used 6.0% · won 44% · −0.3±11.1 vs own baseline
- FH crosscourt → BH crosscourt used 5.0% · won 44% · −0.8±11.5 vs own baseline
- BH through the middle → FH crosscourt used 6.2% · won 44% · −1.1±10.9 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Taylor Townsend wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- BH through the middle → FH crosscourt → BH crosscourt used 1.5% · won 48% · +4.0±11.2 vs own baseline · +3.5 vs tour on the same sequence Disrupted by Elena Rybakina (1/7), Jennifer Brady (6/8)
- FH crosscourt → BH crosscourt → FH down the line used 1.9% · won 48% · +3.5±10.3 vs own baseline · +1.7 vs tour on the same sequence Disrupted by Caroline Wozniacki (3/6), Elena Rybakina (5/8)
- BH crosscourt → FH crosscourt → BH down the line used 0.8% · won 49% · +4.7±12.9 vs own baseline · +7.7 vs tour on the same sequence
- FH crosscourt → BH through the middle → FH down the line used 0.9% · won 45% · +1.2±12.7 vs own baseline · −7.3 vs tour on the same sequence
- BH crosscourt → FH crosscourt → BH crosscourt used 0.9% · won 42% · −2.2±12.4 vs own baseline · −9.3 vs tour on the same sequence
- BH crosscourt → FH down the line → FH crosscourt used 0.8% · won 42% · −2.6±12.7 vs own baseline · −11.7 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 backhand · return | +4.1 | 120 |
| Wide 1st serve · ad court | +3.4 | 270 |
| Body 2nd serve · ad court | +2.2 | 145 |
| T 1st serve · deuce court | +1.6 | 276 |
| Wide 1st serve · deuce court | +1.4 | 240 |
Most exposed to
| BH to their forehand · rally | −3.4 | 215 |
| BH to their backhand · rally | −2.4 | 127 |
| FH to their backhand · return +1 | −2.1 | 145 |
| BH to their forehand · return | −0.5 | 159 |
| FH to their forehand · serve +1 | −0.3 | 152 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Caroline Wozniacki +2.51, Sara Sorribes Tormo +2.41, Angelique Kerber +2.05, Daria Kasatkina +1.88, Sara Errani +1.73
Favourable matchups
Angelique Kerber +1.44, Sara Errani +1.31, Elina Avanesyan +1.03, Marie Bouzkova +1.01, Linda Fruhvirtova +0.60
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.
| Serve & volley | 17% | |
| Points at net | 19% | |
| Unforced errors / shot | 14.2% | |
| Point-ending shots | 31.9% | |
| Chipped returns | 24% | |
| 1st serve in | 67% | |
| T serves · deuce | 41% | |
| Forehand share | 55% | |
| Deep returns | 34% | |
| Wide serves · ad | 44% | |
| Backhand slice | 20% | |
| T serves · ad | 40% | |
| FH down the line | 30% | |
| Drop shots / shot | 1.6% | |
| Run-around forehands | 7% | |
| Through the middle | 27% | |
| BH down the line | 18% | |
| Wide serves · deuce | 36% | |
| Avg rally length | 3.6 |
Plays most like
- Karolina Muchova 2019–2026 plan v
- Olivia Gadecki 2023–2026 plan v
- Barbora Strycova 2014–2023 plan v
- Barbora Krejcikova 2017–2026 plan v
- Caroline Garcia 2013–2025 plan v
- Johanna Konta 2013–2020 plan v
- Bianca Andreescu 2017–2026 plan v
- Anastasia Pavlyuchenkova 2014–2026 plan v
Closest from another era
- Lindsay Davenport 1995–2006
- Jelena Dokic 2000–2009
- Amelie Mauresmo 1999–2009
Charted matches
- Taylor Townsend v Iga Swiatek L Wimbledon R128 · Grass · 30 Jun 2026
- Taylor Townsend v Iva Jovic L Rome R32 · Clay · 9 May 2026
- Barbora Krejcikova v Taylor Townsend L US Open R16 · Hard · 31 Aug 2025
- Mirra Andreeva v Taylor Townsend W US Open R32 · Hard · 29 Aug 2025
- Taylor Townsend v Yulia Putintseva W Miami R64 · Hard · 20 Mar 2025
- Taylor Townsend v Daria Kasatkina W Cincinnati R32 · Hard · 15 Aug 2024
- Taylor Townsend v Sofia Kenin W Charleston R64 · Clay · 2 Apr 2024
- Elena Rybakina v Taylor Townsend L Miami R32 · Hard · 23 Mar 2024
- Taylor Townsend v Karolina Muchova L US Open R32 · Hard · 1 Sep 2023
- Taylor Townsend v Storm Hunter W San Jose R32 · Hard · 1 Aug 2022
- Bianca Andreescu v Taylor Townsend L US Open R16 · Hard · 2 Sep 2019
- Sorana Cirstea v Taylor Townsend W US Open R32 · Hard · 31 Aug 2019