RallyIQ

WTA · Right-handed · 11 charted matches · 2016–2026

Rebecca Sramkova

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

Against an average opponent

Serve points won 59.5% ±3.4 raw 58.1% · tour 56.3% · 781 points
Return points won 44.3% ±3.5 raw 41.7% · tour 43.7% · 782 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 +0.13 ±0.10 better than 78% of WTA · raw +0.14
Shot selection +0.36 ±0.16 better than 85% of WTA · raw +0.37
Execution +0.19 ±0.92 better than 69% of WTA · raw +0.22
Tactical adaptability −0.01 first serves toward what's working, set to set · 11 matches
Adaptation speed −0.01 same, every two to three service games · per 100 first serves
Points left on the table 2.21 per 100 shots vs best direction · lower than 93% 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 4,114 shots.

Shot expected value

The share of points Rebecca Sramkova 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 · 239 shots

OptionUsedWin %Tour
FH crosscourt 33% 46.5%±8.3 52.7%
FH down the line 22% 53.4%±9.7 52.2%
FH through the middle 15% 39.6%±10.7 45.8%
BH down the line 11% 53.2%±12.0 50.0%
BH through the middle 10% 47.1%±12.5 46.2%
BH crosscourt 10% 56.2%±12.4 50.9%

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

position worth 45% to the average player · 233 shots

OptionUsedWin %Tour
BH crosscourt 45% 53.6%±7.4 47.6%
BH through the middle 24% 43.7%±9.3 43.3%
BH down the line 21% 48.3%±9.9 46.8%

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

position worth 43% to the average player · 227 shots

OptionUsedWin %Tour
FH crosscourt 52% 49.5%±7.0 46.7%
FH down the line 23% 41.6%±9.6 44.9%
FH through the middle 22% 41.2%±9.6 41.3%

Return +1: drive to your backhand side

position worth 44% to the average player · 133 shots

OptionUsedWin %Tour
BH crosscourt 38% 41.6%±9.6 47.8%
BH through the middle 28% 44.9%±10.8 43.0%
BH down the line 20% 43.1%±11.9 46.2%

Serve under pressure

Pressure predictability index +1 How much less varied Rebecca Sramkova's first-serve direction gets on break points. Positive means easier to read. Based on 82 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 40% 55% ▲ 65% / 66%
Body 21% 10% ▼ 56% / 57%
T 39% 35% 67% / 68%

381 normal · 20 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 34% 29% 61% / 66%
Body 15% 19% 49% / 56%
T 51% 52% 69% / 64%

317 normal · 62 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
Wide40% 59.7%±5.8 n=162 40%
Body21% 50.6%±7.7 n=83 6% ▼
T39% 61.7%±5.9 n=156 54% ▲

Consistent with an optimal mix (p = 0.08).
Optimal mix: +0.9 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide33% 60.5%±6.4 n=126 46% ▲
Body15% 49.6%±8.8 n=58 0% ▼
T51% 59.6%±5.4 n=195 54% ▲

Consistent with an optimal mix (p = 0.08).
Optimal mix: +1.0 per 100 first serves.

Exploitability 0.96 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: +1.5±7.9 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. (256 repeats, 502 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 62 43% −1.3±8.5
1stAd courtT 87 42% +6.9±7.5
1stAd courtWide 85 34% −0.2±7.3
1stDeuce courtBody 73 43% −0.1±8.0
1stDeuce courtT 107 29% −3.2±6.4
1stDeuce courtWide 81 31% −3.2±7.2
2ndAd courtBody 52 51% −4.4±9.1
2ndAd courtT 26 54% −0.6±10.9
2ndAd courtWide 63 50% −4.0±8.5
2ndDeuce courtBody 68 59% +4.1±8.2
2ndDeuce courtT 48 51% −5.0±9.3
2ndDeuce courtWide 30 50% −3.6±10.6

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → FH crosscourt used 3.5% · won 65% · +4.2±11.0 vs own baseline
  2. T serve (deuce court) → FH crosscourt used 3.5% · won 62% · +0.3±11.3 vs own baseline
  3. Wide serve (ad court) → BH down the line used 4.0% · won 60% · −1.3±11.0 vs own baseline
  4. T serve (ad court) → FH crosscourt used 3.7% · won 58% · −2.8±11.3 vs own baseline
  5. Wide serve (ad court) → BH crosscourt used 4.2% · won 57% · −4.2±11.0 vs own baseline

Return

  1. vs wide serve (ad court) → BH through the middle, mid used 6.1% · won 42% · +2.2±11.4 vs own baseline
  2. vs T serve (deuce court) → BH through the middle, mid used 10.5% · won 40% · −0.4±9.6 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → FH crosscourt used 5.3% · won 53% · +6.0±10.0 vs own baseline
  2. BH crosscourt → BH down the line used 4.6% · won 53% · +5.5±10.5 vs own baseline
  3. BH crosscourt → BH crosscourt used 5.3% · won 52% · +4.5±10.1 vs own baseline
  4. BH down the line → FH crosscourt used 3.9% · won 52% · +4.8±11.0 vs own baseline
  5. FH down the line → BH crosscourt used 3.3% · won 52% · +5.0±11.5 vs own baseline

Discovered sequences

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

  1. FH crosscourt → FH through the middle → FH down the line used 1.1% · won 56% · +8.1±11.8 vs own baseline · +11.6 vs tour on the same sequence Disrupted by Tereza Valentova (3/6), Katie Boulter (5/7)
  2. BH crosscourt → BH down the line → FH crosscourt used 0.7% · won 58% · +9.4±12.9 vs own baseline · +25.5 vs tour on the same sequence
  3. BH crosscourt → BH crosscourt → BH crosscourt used 1.7% · won 54% · +6.0±10.6 vs own baseline · +10.2 vs tour on the same sequence Disrupted by Mirra Andreeva (2/6), Iga Swiatek (3/7)
  4. FH through the middle → FH crosscourt → FH crosscourt used 0.9% · won 54% · +5.3±12.5 vs own baseline · +14.4 vs tour on the same sequence
  5. BH down the line → FH crosscourt → FH crosscourt used 1.2% · won 52% · +3.8±11.6 vs own baseline · +8.1 vs tour on the same sequence Disrupted by Mirra Andreeva (4/8)
  6. BH crosscourt → BH crosscourt → BH down the line used 1.0% · won 52% · +4.0±12.1 vs own baseline · +9.1 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 forehand · rally+1.7328
BH to the middle · return+1.1167
FH to their forehand · serve +1+0.9136
FH to their backhand · rally+0.5218
Wide 1st serve · deuce court+0.3162

Most exposed to

FH to the middle · return−2.7147
FH to their backhand · rally−2.6197
BH to their backhand · return−2.6131
FH to their forehand · rally−2.0251
T 1st serve · deuce court−0.8167

Active players who are best at the shot in the top weakness: Elina Avanesyan, Caroline Wozniacki, Sara Sorribes Tormo, Lin Zhu, Qiang Wang

Tactical fingerprint

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

T serves · ad51%
BH down the line27%
Forehand share57%
Deep returns36%
Unforced errors / shot11.8%
Point-ending shots26.3%
Drop shots / shot1.9%
T serves · deuce39%
FH down the line30%
Run-around forehands8%
Avg rally length4.1
Wide serves · deuce40%
Serve & volley0%
Backhand slice7%
Points at net5%
Chipped returns4%
Through the middle25%
1st serve in59%
Wide serves · ad33%

Plays most like

  1. Maria Sharapova 2003–2020 plan v
  2. Harriet Dart 2018–2025 plan v
  3. Ekaterina Alexandrova 2017–2026 plan v
  4. Clara Tauson 2020–2026 plan v
  5. Veronika Kudermetova 2018–2025 plan v
  6. Viktoria Hruncakova 2018–2026 plan v
  7. Tsvetana Pironkova 2007–2021 plan v
  8. Shuai Zhang 2009–2026 plan v

Closest from another era

  1. Jelena Dokic 2000–2009
  2. Lindsay Davenport 1995–2006
  3. Anastasia Myskina 2002–2006

Charted matches