RallyIQ

ATP · Right-handed · 237 charted matches · 1990–2002

Pete Sampras

Archetype: Serve-and-volleyer · Net rusher

Against an average opponent

Serve points won 70.4% ±2.0 raw 69.9% · tour 63.4% · 22,384 points
Return points won 38.2% ±2.3 raw 35.7% · tour 36.6% · 23,034 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 +0.37 ±0.04 better than 99% of ATP · raw +0.37
Shot selection +0.63 ±0.06 better than 96% of ATP · raw +0.63
Execution −0.32 ±0.18 better than 52% of ATP · raw −0.22
Tactical adaptability +0.21 first serves toward what's working, set to set · 217 matches
Adaptation speed +0.22 same, every two to three service games · per 100 first serves
Long-rally execution −0.72 ±0.45 shot 9 on v own earlier rally shots · 5,122 shots · better than 4% of ATP
Points left on the table 3.11 per 100 shots vs best direction · lower than 15% 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 88,856 shots.

Shot expected value

The share of points Pete Sampras 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 · 4,482 shots

OptionUsedWin %Tour
BH crosscourt 38% 44.6%±2.0 47.6%
BH through the middle 14% 41.8%±3.2 43.7%
BH slice crosscourt 13% 40.7%±3.3 42.5%
BH down the line 9% 42.1%±4.0 46.4%
FH inside-out 7% 51.9%±4.4 51.8%
BH slice through the middle 5% 33.5%±4.9 35.1%
FH inside-in 4% 49.7%±5.9 54.7%
BH slice down the line 3% 35.5%±5.9 37.1%

Return +1: drive to your backhand side

position worth 44% to the average player · 3,355 shots

OptionUsedWin %Tour
BH crosscourt 35% 44.4%±2.4 46.9%
BH through the middle 18% 44.6%±3.3 43.0%
BH slice crosscourt 16% 39.3%±3.4 40.9%
BH down the line 10% 43.4%±4.3 44.2%
BH slice through the middle 7% 39.7%±5.1 32.6%
FH inside-out 4% 51.5%±6.5 51.7%
BH slice down the line 4% 34.0%±6.3 33.3%
FH inside-in 2% 53.2%±8.2 53.6%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 2,114 shots

OptionUsedWin %Tour
BH crosscourt 36% 43.6%±2.9 48.0%
BH slice crosscourt 14% 42.2%±4.6 42.1%
BH through the middle 12% 40.0%±4.8 43.8%
BH down the line 9% 35.5%±5.6 46.5%
FH inside-out 8% 55.8%±5.9 52.6%
FH inside-in 6% 50.9%±6.8 54.3%
BH slice through the middle 6% 36.1%±6.5 35.1%
BH slice down the line 4% 33.5%±7.3 35.8%

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

position worth 44% to the average player · 1,712 shots

OptionUsedWin %Tour
FH crosscourt 51% 44.3%±2.7 46.6%
FH down the line 23% 38.3%±3.9 44.7%
FH through the middle 16% 35.2%±4.6 41.5%
FH down the line + approach 5% 66.8%±7.4 69.3%
FH slice through the middle 1% 21.4%±11.1 24.5%
FH volley crosscourt 1% 64.0%±13.3 62.0%
FH volley down the line 1% 51.0%±15.0 51.6%

Serve under pressure

Pressure predictability index ±0 How much less varied Pete Sampras's first-serve direction gets on break points. Positive means easier to read. Based on 1196 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 42% 51% ▲ 80% / 73%
Body 6% 5% 67% / 63%
T 52% 44% ▼ 85% / 75%

11,081 normal · 275 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 41% 52% ▲ 80% / 73%
Body 6% 6% 71% / 63%
T 53% 42% ▼ 79% / 72%

9,361 normal · 921 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% 71.5%±1.1 n=4,799 55% ▲
Body6% 65.9%±3.0 n=651 0% ▼
T52% 70.6%±1.0 n=5,906 45% ▼

Off equilibrium (p = 0.007): serve wide more. Gap 0.8 points per 100 first serves.
Optimal mix: +0.4 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide42% 68.4%±1.2 n=4,330 53% ▲
Body6% 67.8%±3.1 n=587 0% ▼
T52% 67.9%±1.0 n=5,365 47% ▼

Consistent with an optimal mix (p = 0.83).
Optimal mix: +0.2 per 100 first serves.

Exploitability 0.32 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: +1.9±1.1 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. (10,481 repeats, 10,683 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 717 35% −1.8±2.9
1stAd courtT 2,132 26% −2.1±1.6
1stAd courtWide 3,415 28% +0.8±1.3
1stDeuce courtBody 950 35% −1.6±2.5
1stDeuce courtT 3,282 27% +2.0±1.3
1stDeuce courtWide 2,651 24% −3.4±1.4
2ndAd courtBody 1,222 48% −1.9±2.3
2ndAd courtT 543 50% +0.8±3.4
2ndAd courtWide 2,656 47% −1.0±1.6
2ndDeuce courtBody 1,893 48% −0.7±1.9
2ndDeuce courtT 1,938 51% +1.0±1.9
2ndDeuce courtWide 919 49% +0.7±2.7

Signature patterns

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

Serve → +1

  1. Wide serve (deuce court) → FH volley down the line used 2.4% · won 71% · −2.6±3.3 vs own baseline
  2. Wide serve (deuce court) → BH volley crosscourt used 3.3% · won 67% · −5.9±2.9 vs own baseline
  3. Wide serve (ad court) → BH volley down the line used 2.4% · won 59% · −14.3±3.5 vs own baseline

Return

  1. vs wide serve (ad court) → BH crosscourt, mid used 2.5% · won 49% · +11.1±3.7 vs own baseline
  2. vs T serve (deuce court) → BH through the middle, mid used 2.1% · won 45% · +8.0±4.0 vs own baseline
  3. vs wide serve (ad court) → BH slice crosscourt, mid used 3.4% · won 43% · +5.1±3.1 vs own baseline
  4. vs wide serve (ad court) → BH through the middle, mid used 2.2% · won 42% · +4.3±3.9 vs own baseline
  5. vs wide serve (deuce court) → FH crosscourt used 2.2% · won 6% · −31.8±1.9 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → FH inside-in used 1.6% · won 52% · +6.3±5.6 vs own baseline
  2. FH crosscourt → BH crosscourt used 3.9% · won 49% · +2.9±3.7 vs own baseline
  3. FH crosscourt → FH crosscourt used 1.7% · won 50% · +3.5±5.3 vs own baseline
  4. BH crosscourt → FH down the line used 1.6% · won 48% · +1.7±5.5 vs own baseline
  5. BH crosscourt → FH inside-out used 2.3% · won 47% · +1.3±4.7 vs own baseline

Discovered sequences

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

  1. BH volley down the line → FH down the line → BH volley crosscourt used 0.2% · won 76% · +26.4±7.0 vs own baseline · +9.5 vs tour on the same sequence Disrupted by Stefan Edberg (7/9), Andre Agassi (5/6)
  2. Wide serve → FH through the middle return, mid → BH volley crosscourt used 0.4% · won 66% · +16.5±6.2 vs own baseline · −3.9 vs tour on the same sequence Disrupted by Lleyton Hewitt (2/8), Stefan Edberg (5/12)
  3. FH volley down the line → BH down the line → FH volley crosscourt used 0.2% · won 72% · +22.5±7.5 vs own baseline · −0.8 vs tour on the same sequence Disrupted by Jim Courier (5/6), Andre Agassi (12/15)
  4. FH volley down the line → BH lob through the middle → Smash crosscourt used 0.1% · won 79% · +29.3±8.3 vs own baseline · +8.5 vs tour on the same sequence
  5. Wide serve → FH through the middle return → FH volley down the line used 0.2% · won 73% · +22.9±8.2 vs own baseline · +12.4 vs tour on the same sequence Disrupted by Todd Martin (5/7)
  6. BH volley crosscourt → BH down the line → FH volley crosscourt used 0.2% · won 70% · +20.4±8.1 vs own baseline · +1.8 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

BH volley to their backhand · rally+8.8395
FH to their backhand · serve +1+4.41,187
BH slice to their forehand · return+4.2600
Smash to their forehand · rally+3.5349
BH slice to their backhand · serve +1+3.4256

Most exposed to

BH volley to their forehand · rally−3.8457
BH slice to their backhand · serve +1−3.3416
BH lob to their backhand · return +1−3.0250
BH slice to their forehand · serve +1−2.8133
BH volley to the middle · rally−2.6210

Active players who are best at the shot in the top weakness: Rafael Nadal, Casper Ruud, Carlos Alcaraz, Alex De Minaur, Dominic Thiem

Tactical fingerprint

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

Serve & volley57%
Point-ending shots34.3%
T serves · ad52%
Points at net23%
Chipped returns32%
T serves · deuce52%
Run-around forehands26%
Unforced errors / shot11.4%
Backhand slice27%
BH down the line22%
FH down the line32%
Wide serves · deuce42%
1st serve in59%
Drop shots / shot0.3%
Wide serves · ad42%
Deep returns17%
Through the middle18%
Avg rally length3.0
Forehand share44%

Plays most like

  1. Mark Philippoussis 1995–2003 plan v
  2. Todd Martin 1992–2001 plan v
  3. Boris Becker 1985–1999 plan v
  4. Malivai Washington 1992–1996 plan v
  5. Michael Stich 1990–1997 plan v
  6. Tim Henman 1995–2006 plan v
  7. Guy Forget 1991–1996 plan v
  8. Brad Gilbert 1987–1994 plan v

Closest from another era

  1. Gilles Muller 2005–2017
  2. Jo Wilfried Tsonga 2007–2022
  3. Ethan Quinn 2024–2026

Charted matches