RallyIQ

ATP · Right-handed · 4 charted matches · 1991–1997

Paul Haarhuis

Against an average opponent

Serve points won 63.8% ±3.6 raw 60.9% · tour 63.4% · 494 points
Return points won 33.8% ±3.6 raw 29.3% · tour 36.6% · 447 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 −0.42 ±0.23 better than 2% of ATP · raw −0.42
Shot selection −0.02 ±0.73 better than 51% of ATP · raw −0.01
Execution −1.40 ±1.57 better than 12% of ATP · raw −1.19

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 2,024 shots.

Shot expected value

The share of points Paul Haarhuis 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 · 71 shots

OptionUsedWin %Tour
BH crosscourt 42% 41.0%±11.4 47.6%
BH through the middle 41% 36.2%±11.3 43.7%

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

position worth 44% to the average player · 52 shots

OptionUsedWin %Tour
FH crosscourt 42% 46.0%±12.7 46.6%
FH through the middle 29% 46.6%±13.9 41.5%
FH down the line 29% 34.1%±13.2 44.7%

Serve +1: drive to your middle, you at net

position worth 61% to the average player · 52 shots

OptionUsedWin %Tour
FH volley down the line 33% 61.5%±13.2 63.8%
FH volley crosscourt 25% 68.9%±13.3 68.7%
BH volley crosscourt 23% 64.3%±13.9 62.9%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 44 shots

OptionUsedWin %Tour
FH crosscourt 32% 54.5%±14.0 52.7%
FH down the line 23% 51.0%±15.0 51.5%

Serve under pressure

Pressure predictability index ±0 How much less varied Paul Haarhuis's first-serve direction gets on break points. Positive means easier to read. Based on 49 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 41% 50% ▲ 73% / 73%
Body 18% 8% ▼ 52% / 63%
T 40% 42% 74% / 75%

235 normal · 12 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 46% 49% 70% / 73%
Body 13% 19% 64% / 63%
T 41% 32% ▼ 71% / 72%

201 normal · 37 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% 66.4%±6.7 n=103 55% ▲
Body18% 50.2%±9.6 n=44 5% ▼
T40% 54.7%±7.2 n=100 40%

Off equilibrium (p = 0.011): serve wide more. Gap 7.6 points per 100 first serves.
Optimal mix: +1.1 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide47% 60.9%±6.8 n=111 46%
Body14% 65.6%±9.8 n=33 1% ▼
T40% 66.4%±7.0 n=94 53% ▲

Consistent with an optimal mix (p = 0.52).
Optimal mix: +0.7 per 100 first serves.

Exploitability 0.87 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: +0.9±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. (216 repeats, 261 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 14 37% −0.4±11.9
1stAd courtT 50 24% −3.8±7.9
1stAd courtWide 54 23% −4.4±7.5
1stDeuce courtBody 19 33% −4.0±11.0
1stDeuce courtT 68 18% −7.2±6.4
1stDeuce courtWide 59 23% −4.5±7.3
2ndAd courtBody 31 42% −7.1±10.4
2ndAd courtT 18 52% +2.4±11.9
2ndAd courtWide 42 42% −6.0±9.6
2ndDeuce courtBody 27 47% −2.2±10.9
2ndDeuce courtT 37 52% +2.4±10.0
2ndDeuce courtWide 25 41% −7.3±10.9

Signature patterns

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

Serve → +1

  1. Not enough data

Return

  1. vs T serve (ad court) → FH through the middle used 13.0% · won 22% · +1.9±9.8 vs own baseline

Rally, consecutive own shots

  1. Not enough data

Discovered sequences

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

  1. BH crosscourt → FH crosscourt → BH through the middle used 2.0% · won 36% · −7.3±12.4 vs own baseline · −20.9 vs tour on the same sequence Disrupted by Jimmy Connors (4/16)

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 to the middle · return+0.9120

Most exposed to

Charted matches