RallyIQ

WTA · Right-handed · 5 charted matches · 2022–2025

Sonay Kartal

Against an average opponent

Serve points won 58.6% ±3.7 raw 59.6% · tour 56.3% · 423 points
Return points won 41.8% ±3.7 raw 37.7% · tour 43.7% · 401 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 +0.02 ±0.30 better than 57% of WTA · raw +0.04
Shot selection −0.19 ±0.38 better than 29% of WTA · raw −0.17
Execution +0.55 ±0.71 better than 81% of WTA · raw +0.73

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 2,267 shots.

Shot expected value

The share of points Sonay Kartal 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 · 185 shots

OptionUsedWin %Tour
BH crosscourt 48% 52.3%±7.9 47.6%
BH through the middle 15% 47.2%±11.9 43.3%
BH slice through the middle 12% 36.9%±12.1 34.4%
BH slice crosscourt 12% 33.5%±12.0 40.4%

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

position worth 43% to the average player · 114 shots

OptionUsedWin %Tour
FH crosscourt 54% 39.9%±9.0 46.7%
FH through the middle 18% 44.5%±12.8 41.3%
FH down the line 15% 45.9%±13.5 44.9%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 95 shots

OptionUsedWin %Tour
FH crosscourt 36% 60.3%±11.0 52.7%
BH crosscourt 20% 49.2%±13.2 50.9%
FH down the line 16% 58.4%±13.7 52.2%
FH through the middle 15% 35.7%±13.5 45.8%
BH through the middle 14% 46.2%±14.3 46.2%

Long rally, 9+: drive to your backhand side

position worth 44% to the average player · 82 shots

OptionUsedWin %Tour
BH crosscourt 49% 36.0%±10.2 47.9%
BH through the middle 18% 50.1%±13.9 42.7%
BH slice through the middle 15% 27.2%±12.9 33.4%
BH down the line 12% 51.2%±15.0 46.7%

Serve under pressure

Pressure predictability index +15 How much less varied Sonay Kartal's first-serve direction gets on break points. Positive means easier to read. Based on 42 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 43% 20% ▼ 63% / 66%
Body 20% 0% ▼ 52% / 57%
T 37% 80% ▲ 67% / 68%

210 normal · 10 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 34% 22% ▼ 67% / 66%
Body 25% 28% 59% / 56%
T 42% 50% ▲ 66% / 64%

171 normal · 32 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% 54.4%±7.4 n=92 42%
Body19% 51.7%±9.7 n=42 4% ▼
T39% 60.2%±7.5 n=86 54% ▲

Consistent with an optimal mix (p = 0.31).
Optimal mix: +0.6 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide32% 60.4%±8.3 n=65 32%
Body25% 63.7%±8.8 n=51 10% ▼
T43% 66.0%±7.2 n=87 58% ▲

Consistent with an optimal mix (p = 0.58).
Optimal mix: +0.7 per 100 first serves.

Exploitability 0.69 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: +2.7±2.9 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. (156 repeats, 257 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 35 40% −3.6±10.0
1stAd courtT 41 29% −6.4±8.9
1stAd courtWide 40 33% −1.1±9.3
1stDeuce courtBody 36 42% −0.5±10.0
1stDeuce courtT 42 37% +4.9±9.4
1stDeuce courtWide 58 33% −0.8±8.3
2ndAd courtBody 42 52% −2.9±9.7
2ndAd courtT 8 49% −6.3±13.3
2ndAd courtWide 22 48% −5.3±11.4
2ndDeuce courtBody 41 47% −7.5±9.7
2ndDeuce courtT 24 48% −8.2±11.2
2ndDeuce courtWide 11 52% −2.2±12.8

Signature patterns

Recurring sequences that win more than Sonay Kartal'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. BH crosscourt → FH crosscourt used 9.7% · won 62% · +10.8±11.0 vs own baseline
  2. BH crosscourt → BH crosscourt used 13.7% · won 57% · +5.8±10.0 vs own baseline
  3. FH crosscourt → FH crosscourt used 12.5% · won 53% · +2.0±10.4 vs own baseline
  4. FH crosscourt → BH crosscourt used 8.1% · won 44% · −6.3±11.7 vs own baseline

Discovered sequences

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

  1. BH crosscourt → BH through the middle → FH crosscourt used 1.4% · won 61% · +12.8±12.6 vs own baseline · +27.4 vs tour on the same sequence Disrupted by Eva Vedder (6/8)
  2. BH crosscourt → BH crosscourt → BH crosscourt used 3.3% · won 53% · +4.1±10.3 vs own baseline · +6.6 vs tour on the same sequence Disrupted by Mirra Andreeva (7/14), Eva Vedder (8/13)
  3. FH crosscourt → FH down the line → BH crosscourt used 1.4% · won 47% · −1.8±12.9 vs own baseline · −6.0 vs tour on the same sequence Disrupted by Mirra Andreeva (3/9), Eva Vedder (3/6)
  4. FH crosscourt → FH crosscourt → FH crosscourt used 2.3% · won 43% · −5.9±11.3 vs own baseline · −11.2 vs tour on the same sequence Disrupted by Mirra Andreeva (4/12), Eva Vedder (2/6)

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+2.0191
BH to their backhand · rally−0.7174

Most exposed to

BH to their backhand · rally−3.0170
FH to their backhand · rally+1.8134

Active players who are best at the shot in the top weakness: Maja Chwalinska, Sara Sorribes Tormo, Yulia Putintseva, Elsa Jacquemot, Caroline Wozniacki

Charted matches