RallyIQ

WTA · Right-handed · 15 charted matches · 2022–2026

Linda Klimovicova

Archetype: Ad-court slider · Avoids the wide serve

Against an average opponent

Serve points won 59.9% ±3.4 raw 60.2% · tour 56.3% · 938 points
Return points won 43.4% ±3.4 raw 42.5% · tour 43.7% · 971 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 +0.27 ±0.09 better than 92% of WTA · raw +0.29
Shot selection +0.47 ±0.14 better than 93% of WTA · raw +0.52
Execution +1.01 ±0.86 better than 92% of WTA · raw +1.39
Tactical adaptability +0.05 first serves toward what's working, set to set · 15 matches
Adaptation speed +0.12 same, every two to three service games · per 100 first serves
Points left on the table 2.13 per 100 shots vs best direction · lower than 97% 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 4,892 shots.

Shot expected value

The share of points Linda Klimovicova 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 backhand side

position worth 45% to the average player · 307 shots

OptionUsedWin %Tour
BH crosscourt 53% 46.4%±6.1 47.6%
BH through the middle 24% 41.1%±8.3 43.3%
BH down the line 15% 46.0%±10.1 46.8%
BH slice crosscourt 5% 39.1%±13.4 40.4%

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

position worth 43% to the average player · 267 shots

OptionUsedWin %Tour
FH crosscourt 46% 48.1%±6.9 46.7%
FH down the line 30% 42.6%±8.1 44.9%
FH through the middle 17% 43.5%±10.1 41.3%
FH slice through the middle 4% 21.4%±11.9 29.2%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 246 shots

OptionUsedWin %Tour
FH crosscourt 31% 51.6%±8.4 52.7%
BH crosscourt 18% 51.1%±10.2 50.9%
FH down the line 15% 47.3%±10.8 52.2%
FH through the middle 15% 44.1%±10.8 45.8%
BH through the middle 12% 44.5%±11.6 46.2%
BH down the line 6% 62.9%±13.4 50.0%

Return +1: drive to your backhand side

position worth 44% to the average player · 179 shots

OptionUsedWin %Tour
BH crosscourt 47% 45.3%±8.0 47.8%
BH through the middle 23% 49.4%±10.4 43.0%
BH down the line 20% 45.9%±11.1 46.2%
BH slice through the middle 6% 31.1%±13.7 33.2%

Serve under pressure

Pressure predictability index +5 How much less varied Linda Klimovicova's first-serve direction gets on break points. Positive means easier to read. Based on 96 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 45% 35% ▼ 63% / 66%
Body 17% 13% 59% / 57%
T 38% 52% ▲ 78% / 68%

465 normal · 23 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 52% 59% 72% / 66%
Body 16% 15% 48% / 56%
T 33% 26% 68% / 64%

372 normal · 73 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
Wide45% 58.3%±5.2 n=218 45%
Body17% 61.0%±7.6 n=81 1% ▼
T39% 64.3%±5.3 n=189 54% ▲

Consistent with an optimal mix (p = 0.34).
Optimal mix: +0.8 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide53% 62.9%±4.9 n=235 67% ▲
Body16% 48.4%±8.2 n=70 1% ▼
T31% 60.3%±6.2 n=140 32%

Off equilibrium (p = 0.007): serve wide more. Gap 3.1 points per 100 first serves.
Optimal mix: +1.1 per 100 first serves.

Exploitability 0.97 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: +1.7±6.7 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. (307 repeats, 596 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 78 45% +0.7±7.9
1stAd courtT 97 36% +0.4±7.0
1stAd courtWide 135 39% +4.5±6.2
1stDeuce courtBody 113 46% +3.4±6.9
1stDeuce courtT 83 32% +0.3±7.2
1stDeuce courtWide 143 32% −1.5±5.9
2ndAd courtBody 60 54% −1.1±8.6
2ndAd courtT 18 53% −1.9±11.8
2ndAd courtWide 74 51% −2.5±8.1
2ndDeuce courtBody 92 52% −2.5±7.4
2ndDeuce courtT 35 60% +3.7±10.0
2ndDeuce courtWide 34 50% −3.6±10.3

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → FH down the line used 3.3% · won 65% · −2.1±10.7 vs own baseline
  2. Body serve (ad court) → FH crosscourt used 3.2% · won 63% · −4.6±11.0 vs own baseline
  3. Wide serve (ad court) → BH crosscourt used 4.0% · won 63% · −4.2±10.3 vs own baseline
  4. Wide serve (ad court) → FH crosscourt used 3.3% · won 61% · −5.8±10.9 vs own baseline
  5. Body serve (deuce court) → FH through the middle used 2.7% · won 60% · −6.8±11.4 vs own baseline

Return

  1. vs wide serve (deuce court) → FH crosscourt, mid used 5.3% · won 54% · +6.4±10.6 vs own baseline
  2. vs body serve (deuce court) → BH through the middle, deep used 5.5% · won 51% · +3.9±10.5 vs own baseline
  3. vs wide serve (ad court) → BH crosscourt, mid used 8.5% · won 50% · +3.0±9.1 vs own baseline
  4. vs wide serve (ad court) → BH crosscourt, short used 4.8% · won 51% · +4.0±10.9 vs own baseline
  5. vs wide serve (ad court) → BH crosscourt, deep used 3.9% · won 50% · +3.1±11.5 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → FH crosscourt used 6.9% · won 55% · +7.0±8.8 vs own baseline
  2. BH down the line → FH crosscourt used 3.7% · won 53% · +5.0±10.7 vs own baseline
  3. BH through the middle → FH crosscourt used 4.3% · won 52% · +4.0±10.2 vs own baseline
  4. FH crosscourt → FH down the line used 5.2% · won 51% · +3.0±9.7 vs own baseline
  5. FH crosscourt → BH crosscourt used 7.4% · won 51% · +2.2±8.6 vs own baseline

Discovered sequences

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

  1. FH down the line → BH crosscourt → BH crosscourt used 0.8% · won 58% · +9.7±12.1 vs own baseline · +21.6 vs tour on the same sequence
  2. FH through the middle → FH down the line → BH crosscourt used 0.6% · won 55% · +6.9±13.0 vs own baseline · +21.0 vs tour on the same sequence
  3. BH through the middle → FH crosscourt → FH crosscourt used 0.8% · won 52% · +4.2±12.4 vs own baseline · +13.4 vs tour on the same sequence
  4. FH crosscourt → FH crosscourt → FH down the line used 1.4% · won 51% · +2.8±10.9 vs own baseline · +5.4 vs tour on the same sequence
  5. BH crosscourt → BH down the line → FH crosscourt used 0.7% · won 51% · +3.2±12.9 vs own baseline · +8.5 vs tour on the same sequence
  6. FH crosscourt → FH crosscourt → FH crosscourt used 2.8% · won 49% · +1.4±8.5 vs own baseline · +1.7 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 their forehand · return+4.2120
FH to their forehand · rally+3.2359
BH to their backhand · return+2.2165
BH to their forehand · rally+2.0145
Body 2nd serve · deuce court+1.9143

Most exposed to

FH to their backhand · rally−6.0277
BH to their backhand · rally−3.5192
FH to their backhand · serve +1−3.4155
FH to their forehand · rally−2.1318
BH to the middle · rally−2.0181

Active players who are best at the shot in the top weakness: Clara Burel, Victoria Jimenez Kasintseva, Sara Sorribes Tormo, Arianne Hartono, Angelique Kerber

Tactical fingerprint

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

Wide serves · ad53%
Wide serves · deuce45%
Drop shots / shot2.0%
T serves · deuce39%
Deep returns33%
Run-around forehands7%
Avg rally length4.1
Point-ending shots23.9%
Serve & volley0%
Forehand share53%
Chipped returns8%
FH down the line28%
BH down the line19%
Points at net5%
Backhand slice7%
T serves · ad31%
Unforced errors / shot8.3%
Through the middle23%
1st serve in56%

Plays most like

  1. Magda Linette 2016–2026 plan v
  2. Flavia Pennetta 2006–2015 plan v
  3. Anastasia Potapova 2017–2026 plan v
  4. Anhelina Kalinina 2019–2025 plan v
  5. Anna Blinkova 2019–2026 plan v
  6. Anett Kontaveit 2015–2023 plan v
  7. Anastasija Sevastova 2011–2025 plan v
  8. Elena Vesnina 2007–2016 plan v

Closest from another era

  1. Dinara Safina 2007–2011
  2. Elena Dementieva 1999–2010
  3. Jelena Dokic 2000–2009

Charted matches