WTA · Left-handed · 6 charted matches · 2021–2026
Oksana Selekhmeteva
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 2,280 shots.
Shot expected value
The share of points Oksana Selekhmeteva 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 forehand side
position worth 43% to the average player · 135 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 48% | 45.1%±8.9 | 46.7% |
| FH through the middle | 23% | 53.5%±11.5 | 41.3% |
| FH slice crosscourt | 10% | 36.4%±13.6 | 31.9% |
| FH down the line | 8% | 48.3%±14.8 | 44.9% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 120 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 31% | 51.8%±10.9 | 52.7% |
| FH down the line | 22% | 51.0%±12.1 | 52.2% |
| FH through the middle | 18% | 43.2%±12.6 | 45.8% |
| BH slice through the middle | 15% | 57.8%±13.2 | 44.8% |
| BH through the middle | 10% | 50.8%±14.5 | 46.2% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 115 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice through the middle | 31% | 51.6%±11.0 | 34.4% |
| BH through the middle | 21% | 53.8%±12.4 | 43.3% |
| BH slice crosscourt | 18% | 44.1%±12.8 | 40.4% |
| BH crosscourt | 17% | 47.5%±13.2 | 47.6% |
Serve +1: mid-depth return to your middle
position worth 51% to the average player · 77 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 30% | 43.7%±12.4 | 54.0% |
| FH through the middle | 21% | 50.3%±13.7 | 45.5% |
| FH down the line | 13% | 58.9%±14.8 | 53.3% |
Serve under pressure
Pressure predictability index +15 How much less varied Oksana Selekhmeteva's first-serve direction gets on break points. Positive means easier to read. Based on 55 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 14% | 0% ▼ | 66% / 66% |
| Body | 25% | 20% | 56% / 57% |
| T | 61% | 80% ▲ | 61% / 68% |
235 normal · 10 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 60% | 67% | 63% / 66% |
| Body | 26% | 20% | 62% / 56% |
| T | 14% | 13% | 74% / 64% |
183 normal · 45 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 | 13% | 55.5%±10.4 n=32 | 28% ▲ |
| Body | 25% | 52.5%±8.6 n=61 | 10% ▼ |
| T | 62% | 52.5%±6.1 n=152 | 62% |
Consistent with an optimal mix (p = 0.82).
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 61% | 56.3%±6.3 n=139 | 61% |
| Body | 25% | 62.1%±8.6 n=57 | 10% ▼ |
| T | 14% | 65.3%±9.9 n=32 | 29% ▲ |
Consistent with an optimal mix (p = 0.23).
Optimal mix: +0.6 per 100 first serves.
Exploitability 0.62 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: −6.3±3.3 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. (205 repeats, 256 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 | 27 | 39% | −5.0±10.6 | |
| 1st | Ad court | T | 35 | 30% | −5.3±9.4 | |
| 1st | Ad court | Wide | 44 | 42% | +7.9±9.4 | |
| 1st | Deuce court | Body | 30 | 50% | +7.0±10.6 | |
| 1st | Deuce court | T | 36 | 33% | +0.7±9.5 | |
| 1st | Deuce court | Wide | 58 | 37% | +2.6±8.4 | |
| 2nd | Ad court | Body | 40 | 56% | +1.4±9.7 | |
| 2nd | Ad court | T | 29 | 52% | −3.3±10.7 | |
| 2nd | Ad court | Wide | 28 | 62% | +8.6±10.5 | |
| 2nd | Deuce court | Body | 34 | 60% | +5.4±10.1 | |
| 2nd | Deuce court | T | 17 | 55% | −1.1±11.9 | |
| 2nd | Deuce court | Wide | 47 | 52% | −1.7±9.4 |
Signature patterns
Recurring sequences that win more than Oksana Selekhmeteva's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 10.5% · won 66% · +4.7±10.6 vs own baseline
- Wide serve (ad court) → FH through the middle used 10.9% · won 51% · −10.8±10.9 vs own baseline
- T serve (deuce court) → FH crosscourt used 13.0% · won 52% · −10.1±10.4 vs own baseline
Return
- vs wide serve (deuce court) → BH through the middle, mid used 20.6% · won 59% · −4.7±11.4 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH down the line used 21.1% · won 57% · +1.0±11.1 vs own baseline
- FH crosscourt → FH crosscourt used 18.4% · won 57% · +0.4±11.6 vs own baseline
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 | +1.4 | 144 |
| Wide 1st serve · ad court | +1.1 | 139 |
| T 1st serve · deuce court | −1.2 | 152 |
Most exposed to
| BH to the middle · return | −5.1 | 139 |
| FH to their forehand · rally | +4.1 | 133 |
Active players who are best at the shot in the top weakness: Sara Sorribes Tormo, Maja Chwalinska, Daria Saville, Daria Kasatkina, Caroline Wozniacki
Charted matches
- Oksana Selekhmeteva v Emma Navarro L Wimbledon R32 · Grass · 2 Jul 2026
- Oksana Selekhmeteva v Sinja Kraus W Wimbledon R128 · Grass · 30 Jun 2026
- Oksana Selekhmeteva v Donna Vekic L Australian Open R128 · Hard · 17 Jan 2023
- Sophie Chang v Oksana Selekhmeteva W Australian Open Q3 · Hard · 11 Jan 2023
- Oksana Selekhmeteva v Kaja Juvan L Roland Garros R128 · Clay · 24 May 2022
- Oksana Selekhmeteva v Alexandra Eala W ITF Manacor QF · Hard · 5 Feb 2021