RallyIQ

ATP · Right-handed · 9 charted matches · 2002–2005

Gaston Gaudio

Archetype: Avoids the wide serve · Ad-court slider

Against an average opponent

Serve points won 61.5% ±3.3 raw 56.2% · tour 63.4% · 865 points
Return points won 40.1% ±3.4 raw 39.7% · tour 36.6% · 812 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 −0.11 ±0.11 better than 28% of ATP · raw −0.11
Shot selection −0.44 ±0.15 better than 15% of ATP · raw −0.43
Execution −0.18 ±0.54 better than 58% of ATP · raw −0.11
Points left on the table 2.79 per 100 shots vs best direction · lower than 32% of ATP

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 4,823 shots.

Shot expected value

The share of points Gaston Gaudio 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 forehand side

position worth 44% to the average player · 281 shots

OptionUsedWin %Tour
FH crosscourt 46% 43.8%±6.7 46.6%
FH down the line 24% 39.7%±8.6 44.7%
FH through the middle 24% 41.7%±8.7 41.5%
FH slice through the middle 4% 19.1%±11.6 24.5%

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

position worth 46% to the average player · 256 shots

OptionUsedWin %Tour
BH crosscourt 34% 43.1%±7.8 47.6%
BH through the middle 21% 42.9%±9.5 43.7%
BH down the line 16% 51.3%±10.5 46.4%
BH slice crosscourt 16% 43.4%±10.4 42.5%
BH slice through the middle 6% 28.7%±12.6 35.1%
FH inside-out 5% 44.9%±14.5 51.8%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 243 shots

OptionUsedWin %Tour
FH crosscourt 37% 50.0%±7.9 52.7%
FH down the line 23% 58.3%±9.3 51.5%
FH through the middle 14% 49.8%±11.3 47.0%
BH through the middle 12% 46.7%±11.6 46.8%
BH crosscourt 11% 46.4%±12.0 49.1%

Long rally, 9+: drive to your forehand side

position worth 44% to the average player · 185 shots

OptionUsedWin %Tour
FH crosscourt 48% 54.5%±7.8 46.9%
FH through the middle 26% 46.8%±9.9 41.4%
FH down the line 25% 44.7%±10.0 44.8%

Serve under pressure

Pressure predictability index +46 How much less varied Gaston Gaudio's first-serve direction gets on break points. Positive means easier to read. Based on 94 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 33% 36% 69% / 73%
Body 7% 0% 65% / 63%
T 59% 64% 63% / 75%

414 normal · 22 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 58% 83% ▲ 68% / 73%
Body 12% 0% ▼ 55% / 63%
T 30% 17% ▼ 69% / 72%

340 normal · 72 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. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP 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
Wide33% 58.8%±6.1 n=145 46% ▲
Body7% 60.0%±10.3 n=31 7%
T60% 53.4%±4.8 n=260 47% ▼

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

Ad court

1st serveUsagePoints wonOptimal
Wide62% 57.6%±4.8 n=256 59% ▼
Body10% 47.2%±9.7 n=41 0% ▼
T28% 56.6%±6.8 n=115 41% ▲

Consistent with an optimal mix (p = 0.12).
Optimal mix: +0.6 per 100 first serves.

Exploitability 0.60 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.

Repeating the previous direction to the same court: +3.2±6.8 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. (382 repeats, 448 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 10 35% −1.7±12.4
1stAd courtT 85 33% +4.5±7.2
1stAd courtWide 111 37% +9.8±6.7
1stDeuce courtBody 9 36% −0.8±12.6
1stDeuce courtT 103 24% −1.4±6.1
1stDeuce courtWide 112 34% +6.7±6.5
2ndAd courtBody 35 46% −3.5±10.2
2ndAd courtT 44 50% +0.4±9.6
2ndAd courtWide 100 44% −4.1±7.2
2ndDeuce courtBody 32 53% +3.7±10.4
2ndDeuce courtT 74 46% −3.6±8.0
2ndDeuce courtWide 82 54% +5.9±7.7

Signature patterns

Recurring sequences that win more than Gaston Gaudio'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 3.7% · won 72% · +8.9±10.6 vs own baseline
  2. Wide serve (ad court) → FH crosscourt used 5.5% · won 66% · +3.6±10.0 vs own baseline
  3. Wide serve (deuce court) → FH crosscourt used 4.8% · won 62% · −0.6±10.7 vs own baseline
  4. Wide serve (ad court) → BH crosscourt used 3.9% · won 58% · −4.3±11.4 vs own baseline
  5. Wide serve (deuce court) → FH down the line used 4.8% · won 59% · −4.1±10.8 vs own baseline

Return

  1. vs T serve (deuce court) → BH through the middle, deep used 5.7% · won 59% · +12.0±11.5 vs own baseline
  2. vs T serve (ad court) → FH down the line, mid used 6.5% · won 56% · +8.7±11.2 vs own baseline
  3. vs wide serve (deuce court) → FH crosscourt, mid used 6.0% · won 52% · +5.1±11.5 vs own baseline
  4. vs wide serve (deuce court) → FH through the middle, deep used 7.3% · won 51% · +4.0±10.9 vs own baseline
  5. vs wide serve (ad court) → BH crosscourt, mid used 7.3% · won 51% · +4.0±10.9 vs own baseline

Rally, consecutive own shots

  1. FH down the line → FH crosscourt used 2.9% · won 57% · +10.4±10.7 vs own baseline
  2. FH crosscourt → FH crosscourt used 5.7% · won 53% · +7.1±8.7 vs own baseline
  3. FH through the middle → FH down the line used 2.0% · won 58% · +11.5±11.6 vs own baseline
  4. FH through the middle → FH crosscourt used 4.0% · won 53% · +7.2±9.8 vs own baseline
  5. BH through the middle → FH down the line used 3.3% · won 53% · +6.8±10.4 vs own baseline

Discovered sequences

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

  1. FH crosscourt → FH through the middle → BH crosscourt used 0.8% · won 56% · +8.6±12.0 vs own baseline · +16.5 vs tour on the same sequence Disrupted by Guillermo Coria (5/8)
  2. FH down the line → BH through the middle → FH crosscourt used 0.9% · won 53% · +5.1±11.7 vs own baseline · +3.7 vs tour on the same sequence Disrupted by Guillermo Coria (6/11)
  3. FH down the line → BH crosscourt → BH through the middle used 0.7% · won 53% · +5.4±12.2 vs own baseline · +16.2 vs tour on the same sequence Disrupted by Guillermo Coria (6/8)
  4. FH through the middle → FH crosscourt → FH crosscourt used 1.1% · won 52% · +3.9±11.2 vs own baseline · +9.3 vs tour on the same sequence Disrupted by Yevgeny Kafelnikov (3/7), Guillermo Coria (7/14)
  5. FH crosscourt → FH through the middle → BH through the middle used 0.8% · won 52% · +4.2±12.1 vs own baseline · +9.8 vs tour on the same sequence Disrupted by Guillermo Coria (6/12)
  6. Wide serve → BH through the middle return, mid → FH crosscourt used 0.6% · won 52% · +4.5±13.0 vs own baseline · +1.2 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+2.5389
FH to the middle · return+1.6173
FH to the middle · rally+0.9182
BH to the middle · return+0.4148
FH to their backhand · rally+0.1326

Most exposed to

BH to the middle · return−2.0173
FH to their forehand · rally−0.9389
BH to their backhand · rally−0.6223
FH to the middle · return−0.4130
FH to their backhand · rally−0.4295

Active players who are best at the shot in the top weakness: Juan Carlos Prado Angelo, Cameron Norrie, Daniil Medvedev, Dusan Lajovic, Ugo Humbert

Tactical fingerprint

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

T serves · deuce60%
Wide serves · ad62%
Avg rally length4.8
Drop shots / shot2.8%
Forehand share55%
Through the middle26%
FH down the line32%
Backhand slice24%
1st serve in62%
Deep returns28%
Chipped returns15%
BH down the line19%
Points at net10%
Serve & volley2%
Unforced errors / shot8.6%
Point-ending shots19.4%
Run-around forehands8%
Wide serves · deuce33%
T serves · ad28%

Plays most like

  1. Cameron Norrie 2015–2026 plan v
  2. Egor Gerasimov 2016–2022 plan v
  3. Albert Ramos 2014–2025 plan v
  4. Juan Carlos Ferrero 2000–2009 plan v
  5. Pedro Martinez 2019–2026 plan v
  6. Cristian Garin 2018–2025 plan v
  7. Yoshihito Nishioka 2015–2025 plan v
  8. Mattia Bellucci 2022–2025 plan v

Closest from another era

  1. Cameron Norrie 2015–2026
  2. Egor Gerasimov 2016–2022
  3. Albert Ramos 2014–2025

Charted matches