RallyIQ

WTA · Right-handed · 20 charted matches · 2009–2026

Shuai Zhang

Archetype: Ad-court T server · Rallies through the middle

Against an average opponent

Serve points won 56.1% ±3.3 raw 53.5% · tour 56.3% · 1,323 points
Return points won 44.2% ±3.3 raw 40.2% · tour 43.7% · 1,248 points

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

Direction choice +0.05 ±0.16 better than 64% of WTA · raw +0.04
Shot selection +0.37 ±0.17 better than 87% of WTA · raw +0.36
Execution −0.41 ±0.83 better than 38% of WTA · raw −0.50
Tactical adaptability +0.07 first serves toward what's working, set to set · 20 matches
Adaptation speed +0.01 same, every two to three service games · per 100 first serves
Points left on the table 2.51 per 100 shots vs best direction · lower than 65% of WTA

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 6,250 shots.

Shot expected value

The share of points Shuai Zhang 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 · 396 shots

OptionUsedWin %Tour
FH crosscourt 24% 43.2%±7.5 52.7%
BH crosscourt 18% 51.8%±8.6 50.9%
FH down the line 18% 52.1%±8.6 52.2%
BH through the middle 17% 41.0%±8.7 46.2%
FH through the middle 16% 31.9%±8.3 45.8%
BH down the line 7% 54.4%±12.1 50.0%

Rally, shots 5–8: drive to your backhand side

position worth 45% to the average player · 303 shots

OptionUsedWin %Tour
BH crosscourt 46% 40.2%±6.4 47.6%
BH through the middle 28% 32.4%±7.5 43.3%
BH down the line 17% 42.9%±9.5 46.8%
BH slice crosscourt 3% 30.3%±13.8 40.4%

Rally, shots 5–8: drive to your forehand side

position worth 43% to the average player · 298 shots

OptionUsedWin %Tour
FH crosscourt 46% 49.0%±6.5 46.7%
FH through the middle 27% 41.7%±8.2 41.3%
FH down the line 20% 46.9%±9.1 44.9%

Serve +1: mid-depth return to your middle

position worth 51% to the average player · 229 shots

OptionUsedWin %Tour
FH crosscourt 22% 42.6%±9.7 54.0%
FH down the line 17% 58.0%±10.7 53.3%
BH crosscourt 17% 50.9%±10.8 52.5%
FH through the middle 16% 41.3%±10.8 45.5%
BH through the middle 15% 37.5%±10.8 46.3%
BH down the line 12% 49.3%±12.0 51.0%

Serve under pressure

Pressure predictability index +4 How much less varied Shuai Zhang's first-serve direction gets on break points. Positive means easier to read. Based on 167 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 43% 28% ▼ 64% / 66%
Body 19% 25% 58% / 57%
T 38% 48% ▲ 61% / 68%

645 normal · 40 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 37% 45% 63% / 66%
Body 17% 11% 55% / 56%
T 46% 44% 56% / 64%

509 normal · 127 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 serveUsagePoints wonOptimal
Wide42% 56.6%±4.6 n=286 57% ▲
Body19% 55.3%±6.4 n=132 4% ▼
T39% 55.9%±4.7 n=267 39%

Consistent with an optimal mix (p = 0.95).
Optimal mix: +0.5 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide39% 52.4%±5.0 n=245 54% ▲
Body16% 51.0%±7.2 n=99 8% ▼
T46% 49.4%±4.6 n=292 38% ▼

Consistent with an optimal mix (p = 0.73).
Optimal mix: +0.3 per 100 first serves.

Exploitability 0.38 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: +4.7±3.8 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. (481 repeats, 800 switches.)

Return by serve direction

Return points won against each serve direction, compared with the tour average.

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 91 44% ±0.0±7.4
1stAd courtT 141 34% −1.2±6.0
1stAd courtWide 141 29% −5.6±5.7
1stDeuce courtBody 114 44% +1.7±6.8
1stDeuce courtT 130 25% −6.7±5.7
1stDeuce courtWide 178 31% −3.1±5.3
2ndAd courtBody 114 52% −2.6±6.8
2ndAd courtT 44 52% −3.0±9.6
2ndAd courtWide 67 57% +3.2±8.3
2ndDeuce courtBody 121 55% +0.7±6.7
2ndDeuce courtT 52 55% −1.4±9.0
2ndDeuce courtWide 53 48% −5.4±9.0

Signature patterns

Recurring sequences that win more than Shuai Zhang's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. T serve (deuce court) → FH crosscourt used 2.9% · won 58% · +2.6±10.2 vs own baseline
  2. Wide serve (deuce court) → BH crosscourt used 2.3% · won 58% · +2.8±10.9 vs own baseline
  3. Wide serve (deuce court) → FH down the line used 2.5% · won 58% · +2.5±10.7 vs own baseline
  4. Body serve (deuce court) → BH crosscourt used 2.5% · won 58% · +2.5±10.7 vs own baseline
  5. T serve (deuce court) → BH down the line used 2.0% · won 56% · +0.4±11.2 vs own baseline

Return

  1. vs T serve (ad court) → FH through the middle, deep used 3.6% · won 51% · +9.5±11.0 vs own baseline
  2. vs wide serve (deuce court) → FH through the middle, deep used 4.2% · won 48% · +7.0±10.5 vs own baseline
  3. vs wide serve (ad court) → BH through the middle, deep used 2.7% · won 49% · +7.6±11.7 vs own baseline
  4. vs body serve (ad court) → BH through the middle, deep used 2.7% · won 47% · +5.6±11.7 vs own baseline
  5. vs wide serve (ad court) → BH crosscourt, mid used 3.3% · won 45% · +4.0±11.2 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → BH crosscourt used 5.7% · won 53% · +8.1±8.8 vs own baseline
  2. FH crosscourt → FH crosscourt used 6.0% · won 52% · +7.4±8.7 vs own baseline
  3. BH crosscourt → BH crosscourt used 4.3% · won 50% · +5.1±9.7 vs own baseline
  4. FH through the middle → FH crosscourt used 3.7% · won 50% · +5.1±10.2 vs own baseline
  5. FH crosscourt → FH through the middle used 4.6% · won 48% · +3.1±9.5 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Shuai Zhang wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. FH crosscourt → FH crosscourt → FH crosscourt used 1.9% · won 56% · +10.0±8.9 vs own baseline · +12.1 vs tour on the same sequence Disrupted by Coco Gauff (4/7), Caroline Wozniacki (8/14)
  2. FH crosscourt → FH through the middle → BH crosscourt used 1.0% · won 54% · +7.6±11.1 vs own baseline · +7.6 vs tour on the same sequence
  3. T serve → BH through the middle return, mid → FH down the line used 0.6% · won 51% · +5.2±12.7 vs own baseline · +4.3 vs tour on the same sequence
  4. FH down the line → BH through the middle → FH crosscourt used 0.5% · won 51% · +5.2±13.0 vs own baseline · +3.0 vs tour on the same sequence
  5. T serve → FH through the middle return, deep → FH crosscourt used 0.5% · won 51% · +5.2±13.0 vs own baseline · +11.0 vs tour on the same sequence
  6. BH crosscourt → BH crosscourt → BH crosscourt used 1.4% · won 48% · +1.7±10.1 vs own baseline · +0.2 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 · serve +1+2.7133
BH to their forehand · rally+1.5150
Wide 1st serve · ad court+0.5245
BH to their backhand · return+0.5160
FH to the middle · rally+0.2203

Most exposed to

FH to their forehand · return +1−3.2134
FH to their backhand · serve +1−3.2151
FH to their forehand · return−2.7150
T 1st serve · deuce court−2.4223
BH to the middle · return−2.2297

Best-equipped opponents

Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Sara Sorribes Tormo +3.61, Caroline Wozniacki +3.61, Angelique Kerber +3.05, Daria Kasatkina +3.03, Katie Volynets +2.85

Favourable matchups

Sara Errani +1.64, Angelique Kerber +1.26, Marie Bouzkova +1.11, Elina Avanesyan +0.95, Linda Fruhvirtova +0.85

Active players who are best at the shot in the top weakness: Sara Errani, Paula Badosa, Victoria Azarenka, Linda Noskova, Sara Sorribes Tormo

Tactical fingerprint

Each bar shows how far a style trait is from the WTA average, in standard deviations.

Deep returns39%
T serves · ad46%
Point-ending shots28.0%
1st serve in66%
Unforced errors / shot11.7%
BH down the line22%
T serves · deuce39%
Through the middle30%
Wide serves · deuce42%
Forehand share54%
Serve & volley0%
Points at net6%
Wide serves · ad39%
Backhand slice7%
Chipped returns5%
FH down the line26%
Avg rally length3.8
Run-around forehands3%
Drop shots / shot0.7%

Plays most like

  1. Ashlyn Krueger 2023–2026 plan v
  2. Karolina Pliskova 2013–2026 plan v
  3. Anett Kontaveit 2015–2023 plan v
  4. Garbine Muguruza 2013–2023 plan v
  5. Iga Swiatek 2018–2026 plan v
  6. Veronika Kudermetova 2018–2025 plan v
  7. Maria Sharapova 2003–2020 plan v
  8. Iva Jovic 2024–2026 plan v

Closest from another era

  1. Lindsay Davenport 1995–2006
  2. Monica Seles 1990–2003
  3. Jennifer Capriati 1990–2002

Charted matches