RallyIQ

ATP · Right-handed · 9 charted matches · 1982–1991

Yannick Noah

Archetype: Serve-and-volleyer · Net rusher

Against an average opponent

Serve points won 64.2% ±3.3 raw 60.5% · tour 63.4% · 996 points
Return points won 38.4% ±3.4 raw 41.7% · tour 36.6% · 1,022 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 −0.48 ±0.25 better than 1% of ATP · raw −0.48
Shot selection −0.33 ±0.33 better than 20% of ATP · raw −0.32
Execution +0.58 ±0.52 better than 85% of ATP · raw +0.80
Points left on the table 4.10 per 100 shots vs best direction · lower than 4% 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 5,095 shots.

Shot expected value

The share of points Yannick Noah 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 · 177 shots

OptionUsedWin %Tour
BH through the middle 23% 48.8%±10.5 43.7%
BH slice through the middle 22% 42.4%±10.6 35.1%
BH slice crosscourt 17% 47.0%±11.6 42.5%
BH crosscourt 8% 50.1%±13.9 47.6%
BH down the line 8% 43.6%±13.8 46.4%
BH slice down the line + approach 8% 52.1%±14.1 48.6%
BH slice crosscourt + approach 7% 52.7%±14.5 54.2%
BH slice down the line 6% 33.6%±14.0 37.1%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 168 shots

OptionUsedWin %Tour
BH through the middle 20% 49.7%±11.3 46.8%
FH crosscourt 13% 48.9%±12.7 52.7%
FH through the middle 11% 47.2%±13.1 47.0%
BH slice through the middle 10% 48.5%±13.5 44.8%
BH slice crosscourt 8% 51.2%±14.1 47.0%
BH slice crosscourt + approach 8% 52.0%±14.1 53.3%
FH down the line 8% 49.4%±14.3 51.5%

Return +1: drive to your backhand side

position worth 44% to the average player · 130 shots

OptionUsedWin %Tour
BH through the middle 31% 49.3%±10.6 43.0%
BH slice crosscourt 22% 37.9%±11.5 40.9%
BH slice through the middle 19% 43.4%±12.2 32.6%
BH crosscourt 12% 48.3%±13.7 46.9%
BH down the line 11% 52.5%±14.1 44.2%

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

position worth 44% to the average player · 119 shots

OptionUsedWin %Tour
FH through the middle 39% 39.2%±9.8 41.5%
FH crosscourt 37% 47.4%±10.3 46.6%
FH down the line 15% 44.6%±13.3 44.7%
FH down the line + approach 8% 62.9%±14.5 69.3%

Serve under pressure

Pressure predictability index +3 How much less varied Yannick Noah's first-serve direction gets on break points. Positive means easier to read. Based on 88 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 39% 50% ▲ 64% / 73%
Body 18% 13% 58% / 63%
T 43% 38% 76% / 75%

447 normal · 24 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 46% 47% 71% / 73%
Body 9% 8% 69% / 63%
T 46% 45% 70% / 72%

371 normal · 64 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
Wide39% 57.7%±5.5 n=185 39%
Body18% 55.0%±7.7 n=84 5% ▼
T43% 62.3%±5.2 n=202 56% ▲

Consistent with an optimal mix (p = 0.26).
Optimal mix: +0.7 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide46% 58.5%±5.4 n=199 41% ▼
Body9% 63.9%±9.6 n=38 0% ▼
T46% 62.5%±5.3 n=198 59% ▲

Consistent with an optimal mix (p = 0.49).
Optimal mix: +0.4 per 100 first serves.

Exploitability 0.56 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: −5.5±3.5 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. (374 repeats, 514 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 54 35% −2.4±8.5
1stAd courtT 40 25% −3.2±8.5
1stAd courtWide 224 38% +10.6±5.0
1stDeuce courtBody 96 46% +9.3±7.3
1stDeuce courtT 107 30% +4.5±6.4
1stDeuce courtWide 130 37% +9.8±6.3
2ndAd courtBody 62 43% −6.1±8.5
2ndAd courtT 4 46% −2.9±14.1
2ndAd courtWide 73 54% +5.5±8.1
2ndDeuce courtBody 96 49% ±0.0±7.3
2ndDeuce courtT 48 56% +6.6±9.2
2ndDeuce courtWide 16 40% −8.0±11.9

Signature patterns

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

Serve → +1

  1. T serve (deuce court) → BH volley crosscourt used 4.1% · won 64% · −6.3±11.2 vs own baseline
  2. Wide serve (ad court) → BH volley down the line used 4.6% · won 64% · −6.9±11.0 vs own baseline
  3. Body serve (deuce court) → BH volley crosscourt used 4.6% · won 62% · −8.8±11.1 vs own baseline

Return

  1. vs wide serve (ad court) → BH slice crosscourt, mid used 6.3% · won 49% · +9.3±11.1 vs own baseline
  2. vs wide serve (deuce court) → FH through the middle, mid used 6.3% · won 47% · +7.5±11.1 vs own baseline
  3. vs wide serve (ad court) → BH through the middle, mid used 7.3% · won 42% · +2.6±10.5 vs own baseline

Rally, consecutive own shots

  1. BH through the middle → BH slice through the middle used 3.6% · won 55% · +3.1±11.7 vs own baseline
  2. FH through the middle → BH through the middle used 3.9% · won 55% · +2.9±11.4 vs own baseline
  3. BH through the middle → BH through the middle used 4.8% · won 54% · +1.6±10.9 vs own baseline
  4. FH through the middle → BH slice crosscourt used 3.7% · won 52% · +0.1±11.6 vs own baseline
  5. FH crosscourt → FH through the middle used 4.4% · won 52% · −0.1±11.1 vs own baseline

Discovered sequences

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

  1. FH crosscourt → FH crosscourt → FH through the middle used 1.0% · won 49% · −0.9±12.1 vs own baseline · +3.0 vs tour on the same sequence Disrupted by Wojtek Fibak (5/10), Mats Wilander (4/6)
  2. FH crosscourt → FH crosscourt → FH crosscourt used 0.8% · won 43% · −6.8±12.4 vs own baseline · −15.5 vs tour on the same sequence Disrupted by Wojtek Fibak (3/8)

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 slice to the middle · return+3.1192
BH slice to their backhand · return+3.1124
BH slice to their backhand · rally+2.8161
BH slice to the middle · rally+2.2139
FH to their backhand · rally+1.7154

Most exposed to

FH to their backhand · serve +1−2.4146
FH to their backhand · rally−0.8252
FH to their forehand · serve +1−0.7121
FH to the middle · rally−0.6183
Wide 1st serve · ad court−0.3317

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.

Points at net37%
Chipped returns50%
Through the middle37%
Backhand slice57%
Serve & volley44%
BH down the line28%
T serves · ad46%
Avg rally length4.5
Drop shots / shot1.9%
Point-ending shots23.1%
Deep returns25%
T serves · deuce43%
FH down the line28%
Wide serves · ad46%
Wide serves · deuce39%
Run-around forehands9%
Unforced errors / shot7.8%
Forehand share43%
1st serve in53%

Plays most like

  1. Sergiy Stakhovsky 2010–2022 plan v
  2. Mischa Zverev 2013–2020 plan v
  3. John Mcenroe 1978–1992 plan v
  4. Guy Forget 1991–1996 plan v
  5. Patrick Rafter 1993–2001 plan v
  6. Feliciano Lopez 2003–2023 plan v
  7. Ivan Lendl 1979–1994 plan v
  8. Cedric Pioline 1992–2000 plan v

Closest from another era

  1. Sergiy Stakhovsky 2010–2022
  2. Mischa Zverev 2013–2020
  3. Feliciano Lopez 2003–2023

Charted matches