RallyIQ

WTA · Right-handed · 10 charted matches · 2000–2009

Jelena Dokic

Archetype: First-strike aggressor · Short-point player

Against an average opponent

Serve points won 55.3% ±3.5 raw 53.4% · tour 56.3% · 655 points
Return points won 42.8% ±3.5 raw 39.9% · tour 43.7% · 696 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 +0.52 ±0.09 better than 99% of WTA · raw +0.53
Shot selection +0.15 ±0.13 better than 60% of WTA · raw +0.17
Execution −1.44 ±0.86 better than 12% of WTA · raw −1.30
Tactical adaptability −0.02 first serves toward what's working, set to set · 10 matches
Adaptation speed +0.03 same, every two to three service games · per 100 first serves
Points left on the table 1.89 per 100 shots vs best direction · lower than 99% 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 3,176 shots.

Shot expected value

The share of points Jelena Dokic 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 · 177 shots

OptionUsedWin %Tour
BH crosscourt 60% 40.6%±7.2 47.6%
BH through the middle 20% 33.3%±10.4 43.3%
BH down the line 15% 42.1%±12.0 46.8%

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

position worth 43% to the average player · 176 shots

OptionUsedWin %Tour
FH crosscourt 52% 46.3%±7.8 46.7%
FH down the line 31% 40.0%±9.3 44.9%
FH through the middle 11% 31.4%±12.2 41.3%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 135 shots

OptionUsedWin %Tour
FH crosscourt 33% 54.0%±10.2 52.7%
BH crosscourt 24% 47.5%±11.3 50.9%
BH down the line 14% 46.2%±13.1 50.0%
FH down the line 13% 55.3%±13.4 52.2%
FH through the middle 10% 48.9%±14.3 45.8%

Serve +1: mid-depth return to your middle

position worth 51% to the average player · 109 shots

OptionUsedWin %Tour
FH crosscourt 35% 65.2%±10.3 54.0%
BH crosscourt 17% 46.0%±13.3 52.5%
BH down the line 17% 50.5%±13.3 51.0%
FH down the line 15% 46.3%±13.7 53.3%
BH through the middle 12% 46.3%±14.3 46.3%

Serve under pressure

Pressure predictability index +17 How much less varied Jelena Dokic's first-serve direction gets on break points. Positive means easier to read. Based on 81 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 46% 32% ▼ 66% / 66%
Body 13% 23% ▲ 52% / 57%
T 41% 45% 64% / 68%

318 normal · 22 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 44% 31% ▼ 67% / 66%
Body 9% 2% 55% / 56%
T 47% 68% ▲ 62% / 64%

250 normal · 59 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% 53.1%±6.1 n=153 60% ▲
Body14% 54.2%±9.3 n=47 0% ▼
T41% 53.0%±6.3 n=140 40% ▼

Consistent with an optimal mix (p = 0.96).
Optimal mix: +0.5 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide41% 54.0%±6.5 n=128 48% ▲
Body8% 48.5%±11.2 n=24 0% ▼
T51% 54.3%±6.0 n=157 52% ▲

Consistent with an optimal mix (p = 0.52).
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: −4.9±6.3 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. (191 repeats, 438 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 22 43% −1.3±11.3
1stAd courtT 87 33% −2.5±7.2
1stAd courtWide 70 32% −2.1±7.7
1stDeuce courtBody 23 35% −7.2±10.8
1stDeuce courtT 95 27% −5.2±6.5
1stDeuce courtWide 103 26% −8.3±6.2
2ndAd courtBody 39 49% −6.5±9.9
2ndAd courtT 52 53% −2.0±9.1
2ndAd courtWide 59 58% +5.0±8.6
2ndDeuce courtBody 37 59% +4.3±9.9
2ndDeuce courtT 30 60% +3.7±10.4
2ndDeuce courtWide 73 56% +2.7±8.0

Signature patterns

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

Serve → +1

  1. T serve (deuce court) → FH crosscourt used 5.8% · won 67% · +3.3±10.6 vs own baseline
  2. T serve (ad court) → FH crosscourt used 6.6% · won 63% · −0.3±10.5 vs own baseline
  3. Wide serve (ad court) → FH crosscourt used 7.1% · won 59% · −4.1±10.5 vs own baseline
  4. T serve (deuce court) → BH crosscourt used 4.9% · won 58% · −5.4±11.6 vs own baseline
  5. Body serve (deuce court) → FH crosscourt used 5.8% · won 56% · −7.9±11.1 vs own baseline

Return

  1. vs wide serve (deuce court) → FH crosscourt, mid used 10.1% · won 49% · +7.5±10.5 vs own baseline
  2. vs wide serve (ad court) → BH crosscourt, mid used 10.7% · won 46% · +4.3±10.3 vs own baseline
  3. vs wide serve (deuce court) → FH through the middle, mid used 8.4% · won 45% · +2.9±11.1 vs own baseline
  4. vs T serve (ad court) → FH through the middle, mid used 7.7% · won 44% · +2.7±11.3 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → BH crosscourt used 11.2% · won 53% · +9.7±9.3 vs own baseline
  2. BH crosscourt → BH down the line used 5.9% · won 53% · +9.7±11.3 vs own baseline
  3. FH crosscourt → FH crosscourt used 8.9% · won 46% · +3.1±10.1 vs own baseline
  4. BH through the middle → FH crosscourt used 7.9% · won 44% · +1.2±10.4 vs own baseline
  5. BH crosscourt → FH crosscourt used 9.9% · won 42% · −1.0±9.6 vs own baseline

Discovered sequences

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

  1. FH crosscourt → FH down the line → BH crosscourt used 2.5% · won 50% · +5.4±10.4 vs own baseline · +4.3 vs tour on the same sequence Disrupted by Jennifer Capriati (3/8), Anastasia Myskina (4/7)
  2. BH crosscourt → BH crosscourt → BH down the line used 1.5% · won 52% · +6.6±12.0 vs own baseline · +11.0 vs tour on the same sequence Disrupted by Alisa Kleybanova (5/6)
  3. FH crosscourt → FH crosscourt → FH crosscourt used 2.7% · won 49% · +3.9±10.1 vs own baseline · +2.9 vs tour on the same sequence Disrupted by Alisa Kleybanova (11/23), Jennifer Capriati (3/6)
  4. FH crosscourt → FH through the middle → BH crosscourt used 1.1% · won 47% · +2.0±12.9 vs own baseline · −2.4 vs tour on the same sequence Disrupted by Alisa Kleybanova (3/6)
  5. FH down the line → BH crosscourt → BH crosscourt used 1.1% · won 45% · −0.5±12.8 vs own baseline · −4.6 vs tour on the same sequence
  6. BH down the line → FH crosscourt → FH crosscourt used 1.4% · won 44% · −1.0±12.1 vs own baseline · −5.0 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+2.3128
FH to their forehand · serve +1+0.9128
FH to their backhand · rally±0.0142
Wide 1st serve · deuce court−0.4153
FH to their forehand · rally−0.8237

Most exposed to

Wide 1st serve · deuce court−2.4152
T 1st serve · deuce court−2.0175
Wide 1st serve · ad court+0.2120
FH to their backhand · rally+0.2125
T 1st serve · ad court+0.5176

Active players who are best at the shot in the top weakness: Caroline Garcia, Elena Rybakina, Linda Noskova, Katie Volynets, Serena Williams

Tactical fingerprint

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

T serves · ad51%
Unforced errors / shot12.2%
Point-ending shots27.4%
BH down the line23%
T serves · deuce41%
Wide serves · deuce45%
Drop shots / shot1.9%
FH down the line30%
Wide serves · ad41%
Serve & volley1%
Forehand share53%
Points at net5%
Backhand slice7%
1st serve in60%
Run-around forehands3%
Chipped returns3%
Avg rally length3.6
Deep returns28%
Through the middle16%

Plays most like

  1. Viktoria Hruncakova 2018–2026 plan v
  2. Lindsay Davenport 1995–2006 plan v
  3. Naomi Osaka 2016–2026 plan v
  4. Daniela Hantuchova 2002–2015 plan v
  5. Maria Sharapova 2003–2020 plan v
  6. Serena Williams 1998–2026 plan v
  7. Rebecca Sramkova 2016–2026 plan v
  8. Ana Ivanovic 2007–2016 plan v

Closest from another era

  1. Viktoria Hruncakova 2018–2026
  2. Naomi Osaka 2016–2026
  3. Rebecca Sramkova 2016–2026

Charted matches