WTA · Right-handed · 60 charted matches · 2013–2023
Eugenie Bouchard
Archetype: Ad-court T server · Rallies through the middle
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 18,985 shots.
Shot expected value
The share of points Eugenie Bouchard 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 · 1,095 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 28% | 48.8%±4.6 | 52.7% |
| FH down the line | 18% | 54.1%±5.6 | 52.2% |
| BH crosscourt | 16% | 51.4%±5.9 | 50.9% |
| FH through the middle | 14% | 49.8%±6.2 | 45.8% |
| BH through the middle | 14% | 45.1%±6.3 | 46.2% |
| BH down the line | 6% | 44.7%±8.9 | 50.0% |
| FH down the line + approach | 2% | 66.8%±12.2 | 68.6% |
| FH crosscourt + approach | 1% | 70.8%±13.4 | 69.7% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 1,016 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 47% | 48.0%±3.7 | 47.6% |
| BH through the middle | 29% | 42.7%±4.6 | 43.3% |
| BH down the line | 13% | 42.9%±6.6 | 46.8% |
| BH slice through the middle | 4% | 29.6%±9.9 | 34.4% |
| BH slice crosscourt | 1% | 39.6%±14.0 | 40.4% |
| BH slice down the line | 1% | 22.9%±12.2 | 31.7% |
| BH lob through the middle | 1% | 24.8%±13.0 | 27.1% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 994 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 51% | 47.5%±3.6 | 46.7% |
| FH down the line | 21% | 44.8%±5.4 | 44.9% |
| FH through the middle | 17% | 43.7%±6.0 | 41.3% |
| FH slice through the middle | 5% | 22.6%±8.2 | 29.2% |
| FH slice crosscourt | 2% | 26.0%±11.4 | 31.9% |
| FH slice down the line | 2% | 22.5%±11.6 | 24.3% |
Return +1: drive to your middle
position worth 50% to the average player · 684 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 25% | 55.0%±6.0 | 52.3% |
| BH crosscourt | 18% | 47.0%±6.9 | 50.8% |
| BH through the middle | 18% | 46.6%±6.9 | 46.2% |
| FH down the line | 16% | 48.9%±7.2 | 53.0% |
| FH through the middle | 13% | 41.3%±7.7 | 46.5% |
| BH down the line | 7% | 56.2%±10.0 | 50.6% |
Serve under pressure
Pressure predictability index +2 How much less varied Eugenie Bouchard's first-serve direction gets on break points. Positive means easier to read. Based on 504 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 40% | 37% | 64% / 66% |
| Body | 22% | 16% | 62% / 57% |
| T | 38% | 47% ▲ | 66% / 68% |
1,990 normal · 118 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 37% | 38% | 64% / 66% |
| Body | 27% | 23% | 56% / 56% |
| T | 36% | 39% | 65% / 64% |
1,584 normal · 386 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% | 57.0%±2.8 n=834 | 55% ▲ |
| Body | 22% | 57.3%±3.7 n=462 | 17% ▼ |
| T | 39% | 55.5%±2.8 n=812 | 28% ▼ |
Consistent with an optimal mix (p = 0.73).
Optimal mix: +0.2 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 38% | 57.3%±2.9 n=739 | 49% ▲ |
| Body | 26% | 52.1%±3.5 n=512 | 11% ▼ |
| T | 37% | 56.6%±3.0 n=719 | 40% ▲ |
Consistent with an optimal mix (p = 0.11).
Optimal mix: +0.8 per 100 first serves.
Exploitability 0.45 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: −2.8±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. (1,243 repeats, 2,717 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 | 293 | 45% | +1.4±4.6 | |
| 1st | Ad court | T | 535 | 33% | −2.1±3.3 | |
| 1st | Ad court | Wide | 400 | 35% | +0.5±3.8 | |
| 1st | Deuce court | Body | 341 | 42% | −0.9±4.2 | |
| 1st | Deuce court | T | 441 | 36% | +4.3±3.6 | |
| 1st | Deuce court | Wide | 555 | 33% | −0.8±3.2 | |
| 2nd | Ad court | Body | 347 | 60% | +4.8±4.2 | |
| 2nd | Ad court | T | 166 | 59% | +3.9±5.8 | |
| 2nd | Ad court | Wide | 234 | 54% | +0.3±5.0 | |
| 2nd | Deuce court | Body | 384 | 58% | +3.8±4.0 | |
| 2nd | Deuce court | T | 272 | 55% | −1.1±4.7 | |
| 2nd | Deuce court | Wide | 157 | 49% | −5.0±6.0 |
Signature patterns
Recurring sequences that win more than Eugenie Bouchard's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 3.6% · won 66% · +6.7±6.1 vs own baseline
- T serve (deuce court) → FH crosscourt used 2.9% · won 55% · −3.8±7.0 vs own baseline
- Wide serve (deuce court) → FH down the line used 4.3% · won 55% · −4.2±5.9 vs own baseline
- T serve (deuce court) → FH down the line used 2.1% · won 53% · −6.6±7.8 vs own baseline
- T serve (ad court) → FH crosscourt used 2.2% · won 52% · −7.1±7.8 vs own baseline
Return
- vs body serve (ad court) → BH crosscourt, mid used 2.4% · won 58% · +13.1±7.7 vs own baseline
- vs wide serve (ad court) → BH through the middle, deep used 2.0% · won 58% · +13.0±8.2 vs own baseline
- vs T serve (deuce court) → BH through the middle, deep used 2.1% · won 55% · +10.8±8.1 vs own baseline
- vs T serve (deuce court) → BH through the middle, mid used 3.3% · won 53% · +8.5±6.8 vs own baseline
- vs body serve (deuce court) → BH through the middle, mid used 2.1% · won 51% · +6.3±8.1 vs own baseline
Rally, consecutive own shots
- FH down the line → FH down the line used 1.6% · won 59% · +9.8±8.9 vs own baseline
- BH crosscourt → FH crosscourt used 5.5% · won 54% · +5.0±5.5 vs own baseline
- BH crosscourt → BH down the line used 4.3% · won 53% · +4.5±6.2 vs own baseline
- BH through the middle → FH crosscourt used 5.6% · won 53% · +3.8±5.5 vs own baseline
- FH down the line → FH crosscourt used 2.3% · won 54% · +5.6±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 Eugenie Bouchard 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 0.6% · won 63% · +16.3±9.0 vs own baseline · +13.5 vs tour on the same sequence Disrupted by Maria Sharapova (6/8)
- BH crosscourt → BH down the line → FH crosscourt used 0.7% · won 56% · +8.5±8.8 vs own baseline · +11.2 vs tour on the same sequence Disrupted by Maria Sharapova (4/7), Belinda Bencic (6/9)
- FH through the middle → BH crosscourt → BH crosscourt used 0.4% · won 57% · +9.7±10.3 vs own baseline · +16.6 vs tour on the same sequence Disrupted by Ana Ivanovic (2/6), Maria Sharapova (4/7)
- BH crosscourt → BH through the middle → FH down the line used 0.4% · won 57% · +10.4±10.8 vs own baseline · +12.3 vs tour on the same sequence
- BH crosscourt → BH through the middle → BH crosscourt used 0.3% · won 59% · +11.6±11.6 vs own baseline · +19.4 vs tour on the same sequence
- FH down the line → BH through the middle → BH crosscourt used 0.2% · won 59% · +12.0±11.8 vs own baseline · +20.7 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
| BH to their forehand · return +1 | +3.4 | 154 |
| T 2nd serve · deuce court | +3.1 | 286 |
| FH to their forehand · return | +2.5 | 601 |
| Wide 2nd serve · ad court | +1.5 | 360 |
| Body 2nd serve · deuce court | +1.5 | 328 |
Most exposed to
| FH to their backhand · return +1 | −3.0 | 253 |
| FH to their backhand · rally | −2.9 | 809 |
| FH to their forehand · rally | −1.8 | 1,021 |
| BH to their forehand · rally | −1.5 | 421 |
| BH slice to their backhand · rally | −0.8 | 178 |
Active players who are best at the shot in the top weakness: Marketa Vondrousova, Anna Kalinskaya, Angelique Kerber, Caroline Wozniacki, Belinda Bencic
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Point-ending shots | 27.8% | |
| Unforced errors / shot | 12.0% | |
| FH down the line | 32% | |
| Forehand share | 55% | |
| T serves · deuce | 39% | |
| Points at net | 7% | |
| T serves · ad | 36% | |
| Serve & volley | 0% | |
| Wide serves · deuce | 40% | |
| Deep returns | 31% | |
| Run-around forehands | 5% | |
| Wide serves · ad | 38% | |
| 1st serve in | 60% | |
| Chipped returns | 5% | |
| BH down the line | 18% | |
| Avg rally length | 3.8 | |
| Backhand slice | 6% | |
| Through the middle | 26% | |
| Drop shots / shot | 0.6% |
Plays most like
- Iga Swiatek 2018–2026 plan v
- Anett Kontaveit 2015–2023 plan v
- Anastasia Potapova 2017–2026 plan v
- Alexandra Eala 2021–2026 plan v
- Veronika Kudermetova 2018–2025 plan v
- Anastasia Pavlyuchenkova 2014–2026 plan v
- Anna Blinkova 2019–2026 plan v
- Venus Williams 1997–2026 plan v
Closest from another era
- Lindsay Davenport 1995–2006
- Monica Seles 1990–2003
- Jennifer Capriati 1990–2002
Charted matches
- Ashlyn Krueger v Eugenie Bouchard L Australian Open Q1 · Hard · 9 Jan 2023
- Eugenie Bouchard v Kayla Day W Guadalajara R64 · Hard · 18 Oct 2022
- Eugenie Bouchard v Belinda Bencic L Ostrava R32 · Hard · 4 Oct 2022
- Yuki Naito v Eugenie Bouchard W US Open Q1 · Hard · 23 Aug 2022
- Eugenie Bouchard v Sara Sorribes Tormo L Guadalajara F · Hard · 13 Mar 2021
- Amanda Anisimova v Eugenie Bouchard L Auckland QF · Hard · 10 Jan 2020
- Bianca Andreescu v Eugenie Bouchard L Toronto R64 · Hard · 6 Aug 2019
- Tamara Zidansek v Eugenie Bouchard L Wimbledon R128 · Grass · 2 Jul 2019
- Shuai Peng v Eugenie Bouchard W Australian Open R128 · Hard · 14 Jan 2019
- Eugenie Bouchard v Julia Goerges L Auckland QF · Hard · 3 Jan 2019
- Eugenie Bouchard v Carla Suarez Navarro W Luxembourg R16 · Hard · 17 Oct 2018
- Eugenie Bouchard v Ashleigh Barty L Wimbledon R64 · Grass · 5 Jul 2018