RallyIQ

ATP · Right-handed · 8 charted matches · 1996–2002

Albert Costa

Archetype: Avoids the wide serve · Ad-court slider

Against an average opponent

Serve points won 62.7% ±3.5 raw 57.7% · tour 63.4% · 759 points
Return points won 39.0% ±3.6 raw 40.2% · tour 36.6% · 754 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 +0.24 ±0.14 better than 97% of ATP · raw +0.25
Shot selection +0.14 ±0.18 better than 69% of ATP · raw +0.14
Execution +0.35 ±0.54 better than 81% of ATP · raw +0.37
Points left on the table 2.18 per 100 shots vs best direction · lower than 94% 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 4,402 shots.

Shot expected value

The share of points Albert Costa 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 46% to the average player · 401 shots

OptionUsedWin %Tour
BH crosscourt 38% 46.3%±6.2 47.6%
BH through the middle 15% 49.0%±9.3 43.7%
BH down the line 12% 45.3%±9.9 46.4%
FH inside-out 12% 52.0%±10.0 51.8%
FH inside-in 8% 62.6%±11.1 54.7%
BH slice crosscourt 7% 46.9%±11.8 42.5%
FH through the middle 4% 42.2%±13.2 45.2%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 291 shots

OptionUsedWin %Tour
BH crosscourt 40% 51.2%±7.1 48.0%
BH down the line 15% 52.0%±10.3 46.5%
BH through the middle 13% 38.2%±10.6 43.8%
FH inside-out 11% 52.9%±11.4 52.6%
BH slice crosscourt 7% 47.2%±13.2 42.1%
FH inside-in 6% 54.9%±13.3 54.3%

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

position worth 44% to the average player · 207 shots

OptionUsedWin %Tour
FH crosscourt 53% 54.5%±7.2 46.6%
FH down the line 33% 41.5%±8.6 44.7%
FH through the middle 14% 33.3%±11.1 41.5%

Return +1: drive to your backhand side

position worth 44% to the average player · 162 shots

OptionUsedWin %Tour
BH crosscourt 43% 51.0%±8.7 46.9%
BH through the middle 19% 44.3%±11.4 43.0%
BH down the line 17% 40.1%±11.8 44.2%
BH slice crosscourt 11% 45.2%±13.3 40.9%
FH inside-out 6% 54.4%±15.0 51.7%

Serve under pressure

Pressure predictability index −9 How much less varied Albert Costa'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 43% 25% ▼ 67% / 73%
Body 11% 15% 68% / 63%
T 45% 60% ▲ 71% / 75%

367 normal · 20 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 65% 61% 64% / 73%
Body 8% 18% ▲ 57% / 63%
T 27% 21% 69% / 72%

305 normal · 61 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
Wide42% 58.5%±5.8 n=164 41% ▼
Body12% 55.8%±9.4 n=45 0% ▼
T46% 59.9%±5.6 n=178 59% ▲

Consistent with an optimal mix (p = 0.73).
Optimal mix: +0.4 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide64% 56.7%±5.0 n=236 61% ▼
Body10% 54.2%±10.2 n=35 0% ▼
T26% 57.5%±7.3 n=95 39% ▲

Consistent with an optimal mix (p = 0.83).
Optimal mix: +0.5 per 100 first serves.

Exploitability 0.45 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: −8.3±5.3 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. (332 repeats, 405 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 10 43% +5.8±12.9
1stAd courtT 61 25% −3.4±7.4
1stAd courtWide 120 30% +2.9±6.2
1stDeuce courtBody 21 35% −1.4±11.0
1stDeuce courtT 104 27% +2.2±6.3
1stDeuce courtWide 75 28% +0.6±7.2
2ndAd courtBody 35 49% −0.4±10.2
2ndAd courtT 18 56% +6.5±11.8
2ndAd courtWide 109 47% −1.2±7.0
2ndDeuce courtBody 75 51% +2.1±8.0
2ndDeuce courtT 58 53% +3.6±8.7
2ndDeuce courtWide 56 54% +5.9±8.8

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → BH crosscourt used 4.3% · won 60% · −1.7±11.4 vs own baseline
  2. Wide serve (deuce court) → FH crosscourt used 5.3% · won 60% · −1.6±10.8 vs own baseline
  3. T serve (deuce court) → FH down the line used 6.3% · won 60% · −1.6±10.3 vs own baseline
  4. Wide serve (ad court) → FH inside-in used 6.3% · won 60% · −1.6±10.3 vs own baseline
  5. Wide serve (ad court) → FH crosscourt used 5.1% · won 59% · −2.4±10.9 vs own baseline

Return

  1. vs wide serve (deuce court) → FH through the middle, mid used 7.0% · won 55% · +5.1±11.6 vs own baseline
  2. vs wide serve (ad court) → BH crosscourt, mid used 12.6% · won 51% · +1.7±9.8 vs own baseline
  3. vs wide serve (deuce court) → FH crosscourt, mid used 7.0% · won 51% · +1.2±11.6 vs own baseline
  4. vs wide serve (ad court) → BH through the middle, mid used 6.6% · won 46% · −3.8±11.7 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → BH down the line used 4.9% · won 55% · +7.5±9.6 vs own baseline
  2. BH crosscourt → FH inside-out used 2.9% · won 54% · +6.5±11.2 vs own baseline
  3. FH crosscourt → FH down the line used 6.1% · won 52% · +4.4±9.0 vs own baseline
  4. FH down the line → BH crosscourt used 4.4% · won 53% · +4.9±10.0 vs own baseline
  5. FH crosscourt → FH crosscourt used 5.3% · won 51% · +2.6±9.5 vs own baseline

Discovered sequences

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

  1. BH crosscourt → BH crosscourt → BH down the line used 1.3% · won 57% · +7.1±10.8 vs own baseline · +14.9 vs tour on the same sequence Disrupted by Lleyton Hewitt (9/12)
  2. FH crosscourt → FH down the line → BH crosscourt used 0.9% · won 56% · +6.5±11.9 vs own baseline · +14.8 vs tour on the same sequence Disrupted by Lleyton Hewitt (3/9)
  3. BH crosscourt → BH crosscourt → BH through the middle used 0.7% · won 55% · +4.7±12.5 vs own baseline · +15.8 vs tour on the same sequence Disrupted by Juan Carlos Ferrero (3/6), Lleyton Hewitt (5/7)
  4. BH crosscourt → BH crosscourt → FH inside-out used 0.7% · won 55% · +4.7±12.5 vs own baseline · +10.3 vs tour on the same sequence Disrupted by Lleyton Hewitt (7/11)
  5. FH down the line → BH crosscourt → FH inside-out used 0.9% · won 51% · +1.1±11.9 vs own baseline · −0.2 vs tour on the same sequence Disrupted by Juan Carlos Ferrero (6/7)
  6. BH through the middle → FH crosscourt → FH crosscourt used 0.7% · won 51% · +1.2±12.7 vs own baseline · +8.0 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 · serve +1+4.1120
FH to their backhand · rally+1.7401
BH to their backhand · rally+1.2266
FH to their forehand · rally+0.8336
T 1st serve · deuce court−0.4178

Most exposed to

FH to their backhand · serve +1−2.1122
BH to their backhand · rally−1.2332
FH to their backhand · rally−1.0349
FH to their forehand · rally−0.5314
T 1st serve · deuce court+0.2200

Active players who are best at the shot in the top weakness: Stefanos Tsitsipas, Brandon Nakashima, Rinky Hijikata, Thiago Seyboth Wild, Jannik Sinner

Tactical fingerprint

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

Wide serves · ad64%
Run-around forehands35%
Avg rally length4.8
Forehand share59%
1st serve in65%
Drop shots / shot2.5%
Chipped returns20%
BH down the line22%
T serves · deuce46%
FH down the line30%
Points at net11%
Wide serves · deuce42%
Backhand slice16%
Point-ending shots21.6%
Serve & volley1%
Unforced errors / shot8.6%
Deep returns15%
Through the middle17%
T serves · ad26%

Plays most like

  1. Carlos Moya 1997–2007 plan v
  2. Sergi Bruguera 1990–1997 plan v
  3. Alex Corretja 1995–2002 plan v
  4. Juan Carlos Ferrero 2000–2009 plan v
  5. Rafael Nadal 2003–2024 plan v
  6. Fernando Verdasco 2005–2022 plan v
  7. Tommy Robredo 2003–2022 plan v
  8. Hugo Dellien 2019–2023 plan v

Closest from another era

  1. Hugo Dellien 2019–2023
  2. Thiago Seyboth Wild 2019–2026
  3. Dusan Lajovic 2014–2025

Charted matches