WTA · Right-handed · 5 charted matches · 2012–2022
Yanina Wickmayer
Shot expected value
The share of points Yanina Wickmayer 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 · 125 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 32% | 59.2%±10.4 | 52.7% |
| FH down the line | 22% | 63.4%±11.4 | 52.2% |
| FH through the middle | 14% | 58.3%±13.2 | 45.8% |
| BH crosscourt | 13% | 50.5%±13.7 | 50.9% |
| BH down the line | 10% | 56.3%±14.4 | 50.0% |
| BH through the middle | 9% | 49.2%±14.8 | 46.2% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 89 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 70% | 44.5%±9.0 | 47.6% |
| BH through the middle | 20% | 41.2%±13.1 | 43.3% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 85 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 61% | 44.9%±9.6 | 46.7% |
| FH down the line | 22% | 53.8%±13.1 | 44.9% |
| FH through the middle | 16% | 42.0%±13.9 | 41.3% |
Serve +1: mid-depth return to your middle
position worth 51% to the average player · 54 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 24% | 56.5%±14.2 | 53.3% |
| FH crosscourt | 24% | 54.0%±14.3 | 54.0% |
| BH through the middle | 19% | 50.9%±15.0 | 46.3% |
Serve under pressure
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 44% | 44% | 60% / 66% |
| Body | 28% | 33% | 55% / 57% |
| T | 28% | 22% | 73% / 68% |
125 normal · 9 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 34% | 40% | 61% / 66% |
| Body | 7% | 24% ▲ | 61% / 56% |
| T | 59% | 36% ▼ | 63% / 64% |
102 normal · 25 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 |
|---|---|---|
| Wide | 44% | 48.8%±8.7 n=59 |
| Body | 28% | 52.8%±10.0 n=38 |
| T | 28% | 58.8%±9.9 n=37 |
Consistent with an optimal mix (p = 0.25).
Ad court
| 1st serve | Usage | Points won |
|---|---|---|
| Wide | 35% | 55.5%±9.4 n=45 |
| Body | 10% | 57.2%±12.4 n=13 |
| T | 54% | 55.7%±8.2 n=69 |
Consistent with an optimal mix (p = 0.95).
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 | 12 | 46% | +1.7±12.6 | |
| 1st | Ad court | T | 41 | 32% | −3.6±9.1 | |
| 1st | Ad court | Wide | 21 | 28% | −6.3±10.4 | |
| 1st | Deuce court | Body | 24 | 46% | +3.3±11.2 | |
| 1st | Deuce court | T | 19 | 30% | −2.3±10.8 | |
| 1st | Deuce court | Wide | 42 | 36% | +2.4±9.3 | |
| 2nd | Ad court | Body | 21 | 56% | +0.9±11.4 | |
| 2nd | Ad court | T | 10 | 54% | −1.3±13.0 | |
| 2nd | Ad court | Wide | 16 | 54% | +0.9±12.1 | |
| 2nd | Deuce court | Body | 18 | 57% | +2.5±11.8 | |
| 2nd | Deuce court | T | 10 | 57% | +1.0±12.9 | |
| 2nd | Deuce court | Wide | 19 | 61% | +7.7±11.4 |
Signature patterns
Recurring sequences that win more than Yanina Wickmayer's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Not enough data
Return
- Not enough data
Rally, consecutive own shots
- FH crosscourt → FH down the line used 12.6% · won 54% · +0.7±10.6 vs own baseline
- FH crosscourt → FH crosscourt used 13.0% · won 49% · −5.2±10.5 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Yanina Wickmayer 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 1.9% · won 56% · +3.9±12.8 vs own baseline · +8.9 vs tour on the same sequence Disrupted by Agnieszka Radwanska (4/6)
- FH crosscourt → FH crosscourt → FH down the line used 2.1% · won 54% · +1.3±12.6 vs own baseline · +7.9 vs tour on the same sequence Disrupted by Shahar Peer (6/7)
- FH crosscourt → FH through the middle → FH crosscourt used 1.8% · won 50% · −2.2±13.1 vs own baseline · −8.6 vs tour on the same sequence Disrupted by Agnieszka Radwanska (3/9)
- FH crosscourt → FH crosscourt → FH crosscourt used 2.9% · won 50% · −2.3±11.6 vs own baseline · −0.3 vs tour on the same sequence Disrupted by Mona Barthel (4/8), Linda Fruhvirtova (5/6)
- BH crosscourt → BH crosscourt → BH crosscourt used 2.1% · won 47% · −5.7±12.6 vs own baseline · −9.7 vs tour on the same sequence Disrupted by Agnieszka Radwanska (3/10)
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 backhand · rally | +2.7 | 121 |
| FH to their forehand · rally | +0.8 | 151 |
Most exposed to
Charted matches
- Yanina Wickmayer v Linda Fruhvirtova W Seoul R32 · Hard · 21 Sep 2022
- Yanina Wickmayer v Garbine Muguruza Hobart R16 · Hard · 8 Jan 2014
- Yanina Wickmayer v Agnieszka Radwanska L Auckland F · Hard · 5 Jan 2013
- Mona Barthel v Yanina Wickmayer L Hobart F · Hard · 14 Jan 2012
- Yanina Wickmayer v Shahar Peer W Hobart SF · Hard · 13 Jan 2012