WTA · Right-handed · 6 charted matches · 2019–2026
Renata Zarazua
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 2,145 shots.
Shot expected value
The share of points Renata Zarazua 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 · 150 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 40% | 51.7%±9.2 | 46.7% |
| FH through the middle | 38% | 51.0%±9.4 | 41.3% |
| FH down the line | 15% | 44.1%±12.5 | 44.9% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 138 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 28% | 41.1%±10.5 | 46.2% |
| FH crosscourt | 28% | 44.0%±10.7 | 52.7% |
| BH crosscourt | 20% | 47.2%±12.0 | 50.9% |
| FH through the middle | 13% | 42.5%±13.2 | 45.8% |
Long rally, 9+: drive to your forehand side
position worth 44% to the average player · 138 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 51% | 52.1%±8.6 | 47.0% |
| FH through the middle | 22% | 41.7%±11.4 | 41.5% |
| FH down the line | 21% | 39.4%±11.5 | 46.4% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 111 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 38% | 34.9%±10.0 | 43.3% |
| BH crosscourt | 27% | 51.0%±11.6 | 47.6% |
| BH slice crosscourt | 19% | 34.4%±12.2 | 40.4% |
| BH slice through the middle | 11% | 30.9%±13.4 | 34.4% |
Serve under pressure
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 51% | 20% ▼ | 66% / 66% |
| Body | 22% | 33% ▲ | 53% / 57% |
| T | 28% | 47% ▲ | 62% / 68% |
152 normal · 15 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 27% | 30% | 64% / 66% |
| Body | 17% | 5% ▼ | 61% / 56% |
| T | 55% | 65% ▲ | 53% / 64% |
128 normal · 20 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 | 48% | 59.1%±7.7 n=80 |
| Body | 23% | 48.1%±10.0 n=38 |
| T | 29% | 53.6%±9.2 n=49 |
Consistent with an optimal mix (p = 0.16).
Ad court
| 1st serve | Usage | Points won |
|---|---|---|
| Wide | 28% | 54.4%±9.7 n=41 |
| Body | 16% | 59.1%±11.1 n=23 |
| T | 57% | 54.3%±7.7 n=84 |
Consistent with an optimal mix (p = 0.62).
Repeating the previous direction to the same court: −6.1±6.1 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. (121 repeats, 182 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 | 26 | 41% | −2.5±10.8 | |
| 1st | Ad court | T | 68 | 26% | −9.3±7.3 | |
| 1st | Ad court | Wide | 24 | 40% | +5.1±10.9 | |
| 1st | Deuce court | Body | 29 | 42% | −0.6±10.6 | |
| 1st | Deuce court | T | 47 | 23% | −9.2±7.9 | |
| 1st | Deuce court | Wide | 57 | 32% | −1.6±8.3 | |
| 2nd | Ad court | Body | 29 | 60% | +5.1±10.5 | |
| 2nd | Ad court | T | 11 | 57% | +2.3±12.7 | |
| 2nd | Ad court | Wide | 30 | 52% | −1.8±10.6 | |
| 2nd | Deuce court | Body | 35 | 51% | −3.2±10.2 | |
| 2nd | Deuce court | T | 19 | 55% | −1.3±11.7 | |
| 2nd | Deuce court | Wide | 13 | 49% | −4.6±12.5 |
Signature patterns
Recurring sequences that win more than Renata Zarazua's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- T serve (ad court) → FH crosscourt used 16.4% · won 59% · +0.7±11.7 vs own baseline
Return
- Not enough data
Rally, consecutive own shots
- FH through the middle → BH crosscourt used 5.4% · won 51% · +7.4±11.6 vs own baseline
- FH crosscourt → FH down the line used 7.9% · won 46% · +2.3±10.4 vs own baseline
- FH crosscourt → FH through the middle used 5.6% · won 46% · +2.6±11.5 vs own baseline
- FH through the middle → FH through the middle used 5.6% · won 45% · +0.7±11.4 vs own baseline
- FH crosscourt → FH crosscourt used 10.0% · won 44% · −0.1±9.7 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Renata Zarazua wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH crosscourt → FH through the middle used 2.7% · won 49% · +5.5±10.9 vs own baseline · +9.9 vs tour on the same sequence Disrupted by Emma Raducanu (5/10), Caroline Wozniacki (7/13)
- FH crosscourt → FH crosscourt → FH down the line used 2.3% · won 49% · +5.4±11.3 vs own baseline · +5.9 vs tour on the same sequence Disrupted by Iva Jovic (3/6), Caroline Wozniacki (8/12)
- FH through the middle → FH crosscourt → FH crosscourt used 2.2% · won 49% · +5.3±11.5 vs own baseline · +7.1 vs tour on the same sequence Disrupted by Caroline Wozniacki (9/15)
- BH through the middle → FH crosscourt → FH crosscourt used 1.3% · won 47% · +3.7±13.0 vs own baseline · +8.8 vs tour on the same sequence Disrupted by Caroline Wozniacki (6/12)
- FH through the middle → FH crosscourt → FH through the middle used 1.7% · won 46% · +2.9±12.2 vs own baseline · +8.8 vs tour on the same sequence Disrupted by Emma Raducanu (5/10)
- FH crosscourt → FH crosscourt → FH crosscourt used 3.1% · won 42% · −1.7±10.2 vs own baseline · −7.7 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 the middle · rally | +3.3 | 129 |
| FH to their forehand · rally | +1.5 | 212 |
| BH to their backhand · rally | +1.5 | 120 |
| BH to the middle · rally | −0.2 | 129 |
Most exposed to
| FH to their forehand · rally | −2.3 | 247 |
| BH to their backhand · rally | −1.3 | 121 |
Active players who are best at the shot in the top weakness: Linda Fruhvirtova, Maja Chwalinska, Sara Sorribes Tormo, Linda Klimovicova, Nadia Podoroska
Charted matches
- Bianca Andreescu v Renata Zarazua L Austin 125 R16 · Hard · 11 Mar 2026
- Iva Jovic v Renata Zarazua L Hobart R16 · Hard · 14 Jan 2026
- Ashlyn Krueger v Renata Zarazua L Miami R128 · Hard · 18 Mar 2025
- Caroline Wozniacki v Renata Zarazua L US Open R64 · Hard · 29 Aug 2024
- Renata Zarazua v Emma Raducanu L Wimbledon R128 · Grass · 1 Jul 2024
- Fanny Stollar v Renata Zarazua W Guadalajara R32 · Hard · 12 Mar 2019