RallyIQ

ATP · Right-handed · 12 charted matches · 1999–2006

Arnaud Clement

Archetype: Blocks returns short · Works the corners

Against an average opponent

Serve points won 63.2% ±3.1 raw 58.3% · tour 63.4% · 1,401 points
Return points won 39.5% ±3.2 raw 38.5% · tour 36.6% · 1,274 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 +0.22 ±0.12 better than 95% of ATP · raw +0.22
Shot selection +0.48 ±0.40 better than 91% of ATP · raw +0.49
Execution −0.52 ±0.57 better than 44% of ATP · raw −0.41
Tactical adaptability +0.10 first serves toward what's working, set to set · 12 matches
Adaptation speed +0.24 same, every two to three service games · per 100 first serves
Points left on the table 2.21 per 100 shots vs best direction · lower than 91% 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 7,960 shots.

Shot expected value

The share of points Arnaud Clement 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 · 571 shots

OptionUsedWin %Tour
BH crosscourt 44% 45.4%±4.9 47.6%
BH down the line 17% 38.7%±7.4 46.4%
BH through the middle 14% 49.3%±8.2 43.7%
FH inside-out 9% 44.2%±9.7 51.8%
FH inside-in 5% 46.8%±11.7 54.7%
BH slice crosscourt 3% 41.4%±13.7 42.5%
FH through the middle 2% 48.5%±14.8 45.2%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 427 shots

OptionUsedWin %Tour
BH crosscourt 45% 45.6%±5.6 48.0%
BH down the line 24% 48.6%±7.4 46.5%
BH through the middle 13% 47.0%±9.5 43.8%
FH inside-out 7% 51.0%±11.4 52.6%
BH slice crosscourt 3% 40.7%±14.1 42.1%
FH inside-in 3% 58.9%±14.3 54.3%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 339 shots

OptionUsedWin %Tour
FH down the line 29% 52.4%±7.5 51.5%
FH crosscourt 23% 52.1%±8.3 52.7%
FH through the middle 15% 53.4%±9.8 47.0%
BH crosscourt 15% 39.8%±9.6 49.1%
BH down the line 7% 52.7%±12.5 48.3%
BH through the middle 6% 48.4%±13.0 46.8%
FH down the line + approach 4% 73.0%±12.7 70.5%

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

position worth 44% to the average player · 322 shots

OptionUsedWin %Tour
FH crosscourt 37% 45.5%±6.9 46.6%
FH down the line 37% 50.7%±7.0 44.7%
FH through the middle 22% 40.3%±8.5 41.5%

Serve under pressure

Pressure predictability index −6 How much less varied Arnaud Clement's first-serve direction gets on break points. Positive means easier to read. Based on 159 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 51% 49% 70% / 73%
Body 6% 8% 65% / 63%
T 43% 43% 72% / 75%

686 normal · 37 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 53% 43% ▼ 65% / 73%
Body 5% 7% 54% / 63%
T 42% 50% 66% / 72%

550 normal · 122 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
Wide50% 63.3%±4.0 n=365 64% ▲
Body6% 61.8%±9.3 n=44 0% ▼
T43% 58.2%±4.4 n=314 36% ▼

Consistent with an optimal mix (p = 0.30).
Optimal mix: +0.5 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide51% 52.9%±4.3 n=342 38% ▼
Body5% 51.5%±10.1 n=36 5%
T44% 59.0%±4.5 n=294 57% ▲

Consistent with an optimal mix (p = 0.15).
Optimal mix: +0.5 per 100 first serves.

Exploitability 0.51 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: ±0.0±3.3 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. (659 repeats, 712 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 27 41% +3.5±10.7
1stAd courtT 141 24% −4.4±5.3
1stAd courtWide 168 25% −2.4±5.1
1stDeuce courtBody 22 40% +3.7±11.2
1stDeuce courtT 152 22% −3.4±5.0
1stDeuce courtWide 186 32% +5.3±5.2
2ndAd courtBody 103 55% +5.4±7.1
2ndAd courtT 43 53% +3.8±9.6
2ndAd courtWide 118 49% +0.6±6.8
2ndDeuce courtBody 128 49% +0.2±6.5
2ndDeuce courtT 87 55% +5.8±7.6
2ndDeuce courtWide 80 49% +0.5±7.8

Signature patterns

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

Serve → +1

  1. Wide serve (deuce court) → FH crosscourt used 2.8% · won 63% · +1.2±10.1 vs own baseline
  2. Body serve (deuce court) → FH down the line used 2.5% · won 63% · +1.0±10.4 vs own baseline
  3. Wide serve (ad court) → FH crosscourt used 2.4% · won 63% · +0.4±10.6 vs own baseline
  4. T serve (deuce court) → FH crosscourt used 2.3% · won 62% · −0.3±10.7 vs own baseline
  5. Body serve (deuce court) → FH crosscourt used 2.1% · won 62% · −0.6±11.0 vs own baseline

Return

  1. vs wide serve (deuce court) → FH crosscourt, mid used 3.6% · won 50% · +10.0±11.2 vs own baseline
  2. vs wide serve (ad court) → BH crosscourt, short used 5.5% · won 48% · +7.7±10.0 vs own baseline
  3. vs T serve (deuce court) → BH down the line, mid used 3.4% · won 47% · +7.1±11.3 vs own baseline
  4. vs body serve (ad court) → BH crosscourt, mid used 3.9% · won 46% · +6.4±11.0 vs own baseline
  5. vs wide serve (deuce court) → FH through the middle, mid used 4.8% · won 45% · +5.1±10.4 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → FH down the line used 3.0% · won 54% · +6.8±8.9 vs own baseline
  2. BH crosscourt → FH crosscourt used 4.6% · won 52% · +5.0±7.6 vs own baseline
  3. FH down the line → FH down the line used 2.1% · won 53% · +6.2±9.9 vs own baseline
  4. FH crosscourt → BH down the line used 2.6% · won 51% · +4.6±9.4 vs own baseline
  5. BH crosscourt → FH inside-out used 1.2% · won 53% · +6.2±11.5 vs own baseline

Discovered sequences

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

  1. FH down the line → BH slice crosscourt → BH crosscourt used 0.5% · won 62% · +14.3±11.9 vs own baseline · +27.9 vs tour on the same sequence Disrupted by Roger Federer (7/9)
  2. FH crosscourt → FH crosscourt → FH down the line used 1.3% · won 55% · +7.2±9.1 vs own baseline · +11.4 vs tour on the same sequence Disrupted by Fabrice Santoro (4/8), Andre Agassi (7/14)
  3. FH crosscourt → FH through the middle → FH down the line used 0.6% · won 58% · +10.1±11.5 vs own baseline · +15.0 vs tour on the same sequence Disrupted by Fabrice Santoro (6/8)
  4. BH crosscourt → BH down the line → FH crosscourt used 0.5% · won 56% · +8.4±11.8 vs own baseline · +17.8 vs tour on the same sequence Disrupted by Sebastien Grosjean (3/6), Andy Murray (4/6)
  5. BH down the line → FH through the middle → FH crosscourt used 0.4% · won 56% · +7.9±12.5 vs own baseline · +12.5 vs tour on the same sequence Disrupted by Fabrice Santoro (9/14)
  6. BH crosscourt → BH slice crosscourt → BH crosscourt used 0.7% · won 54% · +5.8±11.2 vs own baseline · +6.7 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 the middle · return+2.1166
BH to their backhand · return+1.4251
FH to their backhand · return+1.0140
BH to their forehand · rally+0.8328
FH to their backhand · serve +1+0.5259

Most exposed to

FH to their forehand · serve +1−3.1137
BH to their backhand · rally−2.1615
BH slice to their backhand · rally−2.1165
FH to their backhand · serve +1−1.8146
BH to their forehand · rally−1.5207

Active players who are best at the shot in the top weakness: Luciano Darderi, Brandon Nakashima, Milos Raonic, Francisco Cerundolo, Rinky Hijikata

Tactical fingerprint

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

Avg rally length4.8
BH down the line27%
Wide serves · deuce50%
FH down the line35%
Points at net17%
T serves · ad44%
Run-around forehands23%
Wide serves · ad51%
Serve & volley8%
Forehand share53%
T serves · deuce43%
Deep returns22%
Chipped returns8%
Point-ending shots19.6%
Unforced errors / shot8.2%
Drop shots / shot0.5%
Backhand slice8%
1st serve in55%
Through the middle17%

Plays most like

  1. Magnus Norman 2000–2001 plan v
  2. Lleyton Hewitt 1998–2015 plan v
  3. Yevgeny Kafelnikov 1994–2002 plan v
  4. David Goffin 2013–2025 plan v
  5. Michael Chang 1989–1998 plan v
  6. Thomas Johansson 1996–2005 plan v
  7. Tomas Berdych 2005–2019 plan v
  8. Karue Sell 2024–2025 plan v

Closest from another era

  1. David Goffin 2013–2025
  2. Karue Sell 2024–2025
  3. Tommy Paul 2016–2026

Charted matches