RallyIQ

WTA · Right-handed · 4 charted matches · 2017–2023

Kristina Kucova

Against an average opponent

Serve points won 57.4% ±4.1 raw 57.0% · tour 56.3% · 323 points
Return points won 47.0% ±4.0 raw 49.3% · tour 43.7% · 365 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.

Shot expected value

The share of points Kristina Kucova 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 · 127 shots

OptionUsedWin %Tour
FH crosscourt 31% 55.9%±10.5 52.7%
FH down the line 19% 55.6%±12.3 52.2%
BH through the middle 17% 43.4%±12.6 46.2%
FH through the middle 15% 41.4%±13.0 45.8%
BH down the line 9% 46.9%±14.5 50.0%
BH crosscourt 8% 47.3%±15.0 50.9%

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

position worth 45% to the average player · 100 shots

OptionUsedWin %Tour
BH through the middle 49% 50.2%±9.9 43.3%
BH crosscourt 27% 47.9%±12.0 47.6%
BH down the line 16% 48.2%±13.7 46.8%

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

position worth 43% to the average player · 85 shots

OptionUsedWin %Tour
FH crosscourt 46% 51.4%±10.7 46.7%
FH through the middle 27% 42.5%±12.4 41.3%
FH down the line 15% 57.5%±14.2 44.9%
FH slice through the middle 12% 32.8%±14.1 29.2%

Return +1: drive to your middle

position worth 50% to the average player · 71 shots

OptionUsedWin %Tour
FH crosscourt 34% 60.2%±12.1 52.3%
FH through the middle 21% 49.4%±13.9 46.5%
FH down the line 15% 53.5%±14.7 53.0%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 37% 45% ▲ 64% / 66%
Body 41% 18% ▼ 65% / 57%
T 22% 36% ▲ 63% / 68%

152 normal · 11 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 30% 48% ▲ 66% / 66%
Body 43% 13% ▼ 58% / 56%
T 26% 39% ▲ 64% / 64%

125 normal · 23 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 won
Wide37% 56.3%±8.6 n=61
Body40% 57.6%±8.3 n=65
T23% 50.3%±10.0 n=37

Consistent with an optimal mix (p = 0.44).

Ad court

1st serveUsagePoints won
Wide33% 60.2%±9.1 n=49
Body39% 55.9%±8.8 n=57
T28% 58.5%±9.6 n=42

Consistent with an optimal mix (p = 0.76).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 34 55% +11.1±10.2
1stAd courtT 22 32% −3.5±10.6
1stAd courtWide 63 37% +2.5±8.2
1stDeuce courtBody 59 45% +2.1±8.7
1stDeuce courtT 48 37% +4.6±9.0
1stDeuce courtWide 23 38% +4.1±11.0
2ndAd courtBody 27 61% +5.5±10.6
2ndAd courtT 6 60% +4.7±13.4
2ndAd courtWide 15 56% +2.2±12.2
2ndDeuce courtBody 35 57% +3.0±10.1
2ndDeuce courtT 7 56% +0.2±13.4
2ndDeuce courtWide 10 58% +4.1±12.8

Signature patterns

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

Serve → +1

  1. Not enough data

Return

  1. Not enough data

Rally, consecutive own shots

  1. FH crosscourt → FH down the line used 8.7% · won 54% · +4.1±11.5 vs own baseline
  2. BH through the middle → BH through the middle used 8.3% · won 51% · +1.2±11.7 vs own baseline

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

Most exposed to

FH to their backhand · rally±0.0139

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

Charted matches