WTA · Right-handed · 53 charted matches · 2014–2026
Jelena Ostapenko
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 15,499 shots.
Shot expected value
The share of points Jelena Ostapenko 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 · 760 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 38% | 55.0%±4.6 | 52.7% |
| BH crosscourt | 21% | 55.7%±6.1 | 50.9% |
| FH down the line | 17% | 57.7%±6.7 | 52.2% |
| BH through the middle | 10% | 55.3%±8.3 | 46.2% |
| BH down the line | 8% | 51.3%±9.3 | 50.0% |
| FH through the middle | 6% | 45.8%±9.9 | 45.8% |
Return +1: drive to your middle
position worth 50% to the average player · 602 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 41% | 56.4%±5.0 | 52.3% |
| BH crosscourt | 20% | 55.5%±6.9 | 50.8% |
| FH down the line | 13% | 53.2%±8.3 | 53.0% |
| BH down the line | 9% | 54.1%±9.4 | 50.6% |
| BH through the middle | 9% | 49.0%±9.6 | 46.2% |
| FH through the middle | 8% | 46.9%±9.7 | 46.5% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 577 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 52% | 51.0%±4.6 | 46.7% |
| FH down the line | 32% | 51.7%±5.8 | 44.9% |
| FH through the middle | 11% | 37.7%±8.7 | 41.3% |
| FH slice through the middle | 2% | 20.7%±11.6 | 29.2% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 560 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 44% | 50.4%±5.0 | 47.6% |
| BH down the line | 32% | 45.7%±5.8 | 46.8% |
| BH through the middle | 19% | 48.1%±7.4 | 43.3% |
| BH slice crosscourt | 2% | 33.6%±13.5 | 40.4% |
| BH slice through the middle | 2% | 38.3%±14.4 | 34.4% |
Serve under pressure
Pressure predictability index +1 How much less varied Jelena Ostapenko's first-serve direction gets on break points. Positive means easier to read. Based on 444 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 32% | 27% | 65% / 66% |
| Body | 13% | 14% | 56% / 57% |
| T | 55% | 59% | 68% / 68% |
1,788 normal · 113 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 36% | 34% | 67% / 66% |
| Body | 19% | 19% | 58% / 56% |
| T | 44% | 47% | 64% / 64% |
1,413 normal · 331 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 | 31% | 52.5%±3.3 n=597 | 29% ▼ |
| Body | 13% | 49.0%±4.9 n=248 | 0% ▼ |
| T | 56% | 56.5%±2.5 n=1,056 | 71% ▲ |
Off equilibrium (p = 0.028): serve T more. Gap 2.2 points per 100 first serves.
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 36% | 57.5%±3.2 n=628 | 51% ▲ |
| Body | 19% | 55.6%±4.3 n=333 | 4% ▼ |
| T | 45% | 54.9%±2.9 n=783 | 45% |
Consistent with an optimal mix (p = 0.58).
Optimal mix: +0.4 per 100 first serves.
Exploitability 0.55 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. (1,165 repeats, 2,374 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 | 233 | 48% | +4.5±5.1 | |
| 1st | Ad court | T | 423 | 36% | +0.8±3.7 | |
| 1st | Ad court | Wide | 422 | 35% | +1.0±3.7 | |
| 1st | Deuce court | Body | 278 | 40% | −2.4±4.6 | |
| 1st | Deuce court | T | 429 | 30% | −2.4±3.5 | |
| 1st | Deuce court | Wide | 443 | 34% | −0.4±3.6 | |
| 2nd | Ad court | Body | 257 | 57% | +2.3±4.8 | |
| 2nd | Ad court | T | 121 | 54% | −1.1±6.7 | |
| 2nd | Ad court | Wide | 299 | 56% | +2.7±4.5 | |
| 2nd | Deuce court | Body | 366 | 58% | +4.0±4.1 | |
| 2nd | Deuce court | T | 224 | 54% | −1.8±5.1 | |
| 2nd | Deuce court | Wide | 141 | 51% | −2.8±6.3 |
Signature patterns
Recurring sequences that win more than Jelena Ostapenko's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 3.1% · won 64% · +2.9±7.0 vs own baseline
- Wide serve (ad court) → BH through the middle used 2.2% · won 60% · −0.3±8.1 vs own baseline
- T serve (deuce court) → FH crosscourt used 3.7% · won 59% · −1.7±6.6 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 2.5% · won 57% · −4.1±7.8 vs own baseline
- Body serve (deuce court) → BH crosscourt used 2.1% · won 56% · −4.7±8.3 vs own baseline
Return
- vs wide serve (ad court) → BH crosscourt, mid used 4.2% · won 59% · +14.1±6.5 vs own baseline
- vs wide serve (deuce court) → FH crosscourt, deep used 2.2% · won 58% · +13.5±8.4 vs own baseline
- vs wide serve (deuce court) → FH crosscourt, mid used 2.6% · won 57% · +12.1±8.0 vs own baseline
- vs T serve (ad court) → FH through the middle, deep used 2.2% · won 56% · +11.8±8.4 vs own baseline
- vs T serve (ad court) → FH through the middle, mid used 2.3% · won 54% · +9.5±8.4 vs own baseline
Rally, consecutive own shots
- BH through the middle → FH down the line used 2.8% · won 61% · +9.6±9.2 vs own baseline
- BH crosscourt → BH crosscourt used 6.2% · won 56% · +4.1±7.0 vs own baseline
- FH down the line → FH down the line used 1.8% · won 59% · +7.6±10.4 vs own baseline
- BH through the middle → FH crosscourt used 4.5% · won 56% · +4.7±7.9 vs own baseline
- FH crosscourt → BH through the middle used 2.4% · won 56% · +4.2±9.8 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Jelena Ostapenko 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 down the line used 0.5% · won 63% · +12.4±10.4 vs own baseline · +19.1 vs tour on the same sequence
- BH through the middle → FH through the middle → FH crosscourt used 0.7% · won 59% · +8.4±9.9 vs own baseline · +15.3 vs tour on the same sequence
- FH crosscourt → FH slice through the middle → FH down the line used 0.3% · won 62% · +10.7±11.9 vs own baseline · +12.9 vs tour on the same sequence
- BH through the middle → FH crosscourt → FH crosscourt used 0.6% · won 58% · +7.1±10.1 vs own baseline · +18.0 vs tour on the same sequence Disrupted by Caroline Wozniacki (4/8)
- FH crosscourt → FH through the middle → BH crosscourt used 1.0% · won 56% · +4.8±8.5 vs own baseline · +5.2 vs tour on the same sequence Disrupted by Daria Kasatkina (3/7), Garbine Muguruza (4/6)
- Wide serve → FH crosscourt return, mid → FH crosscourt used 0.4% · won 58% · +7.1±11.2 vs own baseline · +15.2 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 · rally | +2.9 | 559 |
| FH to their forehand · return | +1.5 | 510 |
| Body 2nd serve · ad court | +0.8 | 262 |
| Wide 2nd serve · ad court | +0.7 | 279 |
| Wide 1st serve · ad court | −0.2 | 628 |
Most exposed to
| BH to their forehand · return | −7.2 | 287 |
| T 1st serve · ad court | −2.1 | 655 |
| FH to their forehand · return | −2.0 | 365 |
| BH to their backhand · return | −1.7 | 553 |
| Wide 1st serve · deuce court | −1.1 | 685 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Sara Sorribes Tormo +2.16, Caroline Wozniacki +1.83, Tatjana Maria +1.69, Daria Kasatkina +1.31, Sara Errani +1.11
Favourable matchups
Sara Errani +1.11, Angelique Kerber +0.37, Elina Avanesyan +0.34, Marie Bouzkova +0.15, Katie Volynets +0.05
Active players who are best at the shot in the top weakness: Alexandra Eala, Magdalena Frech, Belinda Bencic, Angelique Kerber, Clara Tauson
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Point-ending shots | 42.3% | |
| Unforced errors / shot | 17.1% | |
| T serves · deuce | 56% | |
| BH down the line | 28% | |
| Deep returns | 37% | |
| T serves · ad | 45% | |
| FH down the line | 30% | |
| Chipped returns | 10% | |
| Serve & volley | 0% | |
| Drop shots / shot | 1.3% | |
| Forehand share | 52% | |
| Run-around forehands | 4% | |
| Wide serves · ad | 36% | |
| Backhand slice | 5% | |
| Points at net | 4% | |
| 1st serve in | 57% | |
| Wide serves · deuce | 31% | |
| Avg rally length | 3.0 | |
| Through the middle | 17% |
Plays most like
- Talia Gibson 2024–2026 plan v
- Ana Konjuh 2014–2022 plan v
- Amanda Anisimova 2017–2026 plan v
- Petra Kvitova 2010–2025 plan v
- Naomi Osaka 2016–2026 plan v
- Veronika Kudermetova 2018–2025 plan v
- Julia Goerges 2009–2020 plan v
- Viktoria Hruncakova 2018–2026 plan v
Closest from another era
- Jelena Dokic 2000–2009
- Lindsay Davenport 1995–2006
- Monica Seles 1990–2003
Charted matches
- Jelena Ostapenko v Antonia Ruzic W Wimbledon R64 · Grass · 1 Jul 2026
- Jelena Ostapenko v Elena Gabriela Ruse W Rome R64 · Clay · 7 May 2026
- Jelena Ostapenko v Mirra Andreeva L Stuttgart R32 · Clay · 15 Apr 2026
- Jelena Ostapenko v Elena Rybakina L Roland Garros R32 · Clay · 30 May 2025
- Jelena Ostapenko v Amanda Anisimova L Doha F · Hard · 15 Feb 2025
- Jelena Ostapenko v Marina Stakusic L Guadalajara R16 · Hard · 12 Sep 2024
- Naomi Osaka v Jelena Ostapenko L US Open R128 · Hard · 27 Aug 2024
- Paula Badosa v Jelena Ostapenko W Toronto R32 · Hard · 8 Aug 2024
- Jelena Ostapenko v Barbora Krejcikova L Wimbledon QF · Grass · 10 Jul 2024
- Jelena Ostapenko v Yulia Putintseva W Wimbledon R16 · Grass · 8 Jul 2024
- Jelena Ostapenko v Linda Noskova L Stuttgart R32 · Clay · 16 Apr 2024
- Jelena Ostapenko v Anastasia Pavlyuchenkova W Linz SF · Hard · 3 Feb 2024