RallyIQ

WTA · Right-handed · 9 charted matches · 2019–2026

Elisabetta Cocciaretto

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

Against an average opponent

Serve points won 58.1% ±3.4 raw 57.4% · tour 56.3% · 664 points
Return points won 44.5% ±3.5 raw 43.7% · 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 +0.03 ±0.16 better than 58% of WTA · raw +0.03
Shot selection +0.06 ±0.24 better than 53% of WTA · raw +0.07
Execution +0.11 ±1.13 better than 66% of WTA · raw +0.19
Points left on the table 2.37 per 100 shots vs best direction · lower than 78% 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 3,664 shots.

Shot expected value

The share of points Elisabetta Cocciaretto 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 · 254 shots

OptionUsedWin %Tour
BH crosscourt 44% 50.0%±7.2 47.6%
BH through the middle 33% 43.5%±8.0 43.3%
BH down the line 14% 52.4%±11.0 46.8%
BH slice through the middle 7% 40.2%±13.3 34.4%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 237 shots

OptionUsedWin %Tour
FH crosscourt 32% 48.0%±8.3 52.7%
BH through the middle 19% 42.6%±10.2 46.2%
FH through the middle 14% 43.7%±11.2 45.8%
FH down the line 14% 55.6%±11.2 52.2%
BH crosscourt 11% 53.6%±12.0 50.9%
BH down the line 10% 48.8%±12.5 50.0%

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

position worth 43% to the average player · 221 shots

OptionUsedWin %Tour
FH crosscourt 62% 49.9%±6.6 46.7%
FH through the middle 27% 37.8%±8.9 41.3%
FH down the line 11% 45.4%±12.3 44.9%

Serve +1: mid-depth return to your middle

position worth 51% to the average player · 119 shots

OptionUsedWin %Tour
FH crosscourt 37% 49.7%±10.3 54.0%
BH crosscourt 21% 61.1%±12.0 52.5%
BH through the middle 18% 44.6%±12.8 46.3%
FH down the line 9% 57.0%±14.6 53.3%
FH through the middle 9% 42.3%±14.6 45.5%

Serve under pressure

Pressure predictability index +10 How much less varied Elisabetta Cocciaretto's first-serve direction gets on break points. Positive means easier to read. Based on 72 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 36% 24% ▼ 66% / 66%
Body 24% 24% 58% / 57%
T 40% 52% ▲ 71% / 68%

325 normal · 21 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 20% 16% 58% / 66%
Body 26% 20% 50% / 56%
T 53% 65% ▲ 57% / 64%

265 normal · 51 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
Wide35% 59.8%±6.5 n=122 35%
Body24% 58.8%±7.6 n=84 9% ▼
T40% 67.2%±5.9 n=140 56% ▲

Consistent with an optimal mix (p = 0.15).
Optimal mix: +0.9 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide20% 49.2%±8.6 n=62 35% ▲
Body25% 50.1%±7.8 n=80 10% ▼
T55% 53.5%±5.7 n=174 55%

Consistent with an optimal mix (p = 0.61).
Optimal mix: +0.6 per 100 first serves.

Exploitability 0.77 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: −0.3±4.3 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. (286 repeats, 358 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 58 42% −1.7±8.7
1stAd courtT 65 40% +4.1±8.3
1stAd courtWide 83 30% −4.1±7.1
1stDeuce courtBody 71 49% +6.7±8.2
1stDeuce courtT 75 36% +3.7±7.7
1stDeuce courtWide 77 30% −3.9±7.3
2ndAd courtBody 63 50% −5.0±8.5
2ndAd courtT 11 57% +2.3±12.7
2ndAd courtWide 53 53% −0.5±9.0
2ndDeuce courtBody 76 52% −2.2±8.0
2ndDeuce courtT 34 59% +3.1±10.1
2ndDeuce courtWide 29 56% +2.4±10.6

Signature patterns

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

Serve → +1

  1. T serve (deuce court) → FH crosscourt used 4.8% · won 66% · +7.1±10.7 vs own baseline
  2. Body serve (deuce court) → FH crosscourt used 4.2% · won 58% · −0.8±11.4 vs own baseline
  3. Wide serve (deuce court) → FH crosscourt used 6.0% · won 55% · −4.5±10.5 vs own baseline
  4. Body serve (ad court) → BH through the middle used 5.2% · won 51% · −7.8±11.0 vs own baseline
  5. T serve (ad court) → BH through the middle used 4.8% · won 49% · −9.6±11.2 vs own baseline

Return

  1. vs body serve (deuce court) → BH through the middle, mid used 7.6% · won 51% · +0.9±11.7 vs own baseline
  2. vs T serve (deuce court) → BH through the middle, mid used 9.8% · won 51% · +0.8±10.9 vs own baseline
  3. vs wide serve (ad court) → BH through the middle, mid used 7.3% · won 44% · −6.1±11.7 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → FH down the line used 5.0% · won 58% · +9.5±10.2 vs own baseline
  2. FH crosscourt → BH crosscourt used 7.0% · won 52% · +3.6±9.3 vs own baseline
  3. BH crosscourt → FH crosscourt used 5.9% · won 52% · +3.0±9.8 vs own baseline
  4. BH down the line → FH crosscourt used 3.5% · won 52% · +3.5±11.3 vs own baseline
  5. BH crosscourt → BH down the line used 3.2% · won 52% · +3.6±11.6 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Elisabetta Cocciaretto 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 1.1% · won 58% · +9.2±11.9 vs own baseline · +14.3 vs tour on the same sequence Disrupted by Anastasia Potapova (5/9)
  2. BH crosscourt → BH crosscourt → BH crosscourt used 1.3% · won 54% · +5.7±11.6 vs own baseline · +11.4 vs tour on the same sequence Disrupted by Anastasia Potapova (7/12)
  3. FH crosscourt → BH crosscourt → FH crosscourt used 1.0% · won 55% · +6.3±12.4 vs own baseline · +14.9 vs tour on the same sequence Disrupted by Jil Teichmann (9/15)
  4. FH crosscourt → FH down the line → BH crosscourt used 1.1% · won 52% · +3.9±12.1 vs own baseline · +7.3 vs tour on the same sequence Disrupted by Anastasia Potapova (11/17)
  5. T serve → FH through the middle return, mid → FH crosscourt used 0.8% · won 52% · +3.0±12.9 vs own baseline · +3.9 vs tour on the same sequence
  6. FH through the middle → FH crosscourt → FH crosscourt used 1.0% · won 50% · +1.8±12.4 vs own baseline · +5.9 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+2.4301
FH to the middle · return+1.8127
FH to their backhand · rally+1.3187
BH to their forehand · rally+0.6133
T 1st serve · deuce court+0.4140

Most exposed to

BH to the middle · return−1.4167
BH to their backhand · rally−0.8182
BH to the middle · rally−0.5142
Wide 1st serve · ad court−0.2133
FH to the middle · return−0.1121

Active players who are best at the shot in the top weakness: Sara Sorribes Tormo, Maja Chwalinska, Daria Saville, Daria Kasatkina, Caroline Wozniacki

Tactical fingerprint

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

T serves · ad55%
1st serve in66%
T serves · deuce40%
Avg rally length4.3
Deep returns35%
Through the middle31%
Forehand share53%
Serve & volley0%
Unforced errors / shot10.1%
Backhand slice11%
Point-ending shots22.6%
Chipped returns7%
BH down the line19%
Run-around forehands2%
Wide serves · deuce35%
Points at net3%
Drop shots / shot0.4%
FH down the line18%
Wide serves · ad20%

Plays most like

  1. Anna Karolina Schmiedlova 2014–2024 plan v
  2. Qiang Wang 2012–2024 plan v
  3. Ashlyn Krueger 2023–2026 plan v
  4. Jessica Pegula 2015–2026 plan v
  5. Marion Bartoli 2003–2013 plan v
  6. Heather Watson 2014–2024 plan v
  7. Shuai Zhang 2009–2026 plan v
  8. Carla Suarez Navarro 2009–2021 plan v

Closest from another era

  1. Anastasia Myskina 2002–2006
  2. Justine Henin 1999–2010
  3. Jennifer Capriati 1990–2002

Charted matches