RallyIQ

ATP · Right-handed · 14 charted matches · 1999–2005

Sebastien Grosjean

Archetype: Blocks returns short · Works the corners

Against an average opponent

Serve points won 62.1% ±2.9 raw 60.4% · tour 63.4% · 1,378 points
Return points won 36.3% ±2.9 raw 32.7% · tour 36.6% · 1,350 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 −0.07 ±0.11 better than 38% of ATP · raw −0.07
Shot selection +0.09 ±0.19 better than 64% of ATP · raw +0.09
Execution −0.82 ±0.58 better than 31% of ATP · raw −0.86
Tactical adaptability +0.23 first serves toward what's working, set to set · 14 matches
Adaptation speed +0.10 same, every two to three service games · per 100 first serves
Points left on the table 2.72 per 100 shots vs best direction · lower than 39% 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 7,094 shots.

Shot expected value

The share of points Sebastien Grosjean 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 · 599 shots

OptionUsedWin %Tour
BH crosscourt 37% 44.4%±5.3 47.6%
BH through the middle 17% 45.6%±7.5 43.7%
BH slice crosscourt 12% 39.9%±8.5 42.5%
FH inside-out 10% 54.2%±9.2 51.8%
BH down the line 8% 39.0%±9.6 46.4%
BH slice through the middle 7% 34.4%±9.8 35.1%
FH inside-in 4% 53.2%±12.2 54.7%
FH through the middle 4% 43.0%±12.6 45.2%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 378 shots

OptionUsedWin %Tour
BH crosscourt 25% 51.0%±7.7 48.0%
BH slice crosscourt 25% 42.9%±7.7 42.1%
BH through the middle 14% 38.9%±9.3 43.8%
FH inside-out 11% 50.9%±10.4 52.6%
BH down the line 9% 40.5%±10.9 46.5%
BH slice through the middle 7% 40.5%±11.8 35.1%
FH inside-in 4% 43.7%±14.0 54.3%
BH slice down the line 3% 41.1%±14.3 35.8%

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

position worth 44% to the average player · 272 shots

OptionUsedWin %Tour
FH crosscourt 33% 43.4%±7.8 46.6%
FH through the middle 31% 43.0%±8.0 41.5%
FH down the line 28% 39.5%±8.2 44.7%
FH down the line + approach 4% 66.2%±14.2 69.3%

Return +1: drive to your backhand side

position worth 44% to the average player · 215 shots

OptionUsedWin %Tour
BH crosscourt 25% 43.8%±9.5 46.9%
BH through the middle 22% 39.7%±9.8 43.0%
FH inside-out 16% 42.4%±11.0 51.7%
BH slice crosscourt 14% 38.4%±11.3 40.9%
BH slice through the middle 9% 27.0%±11.7 32.6%
BH down the line 7% 41.2%±13.5 44.2%

Serve under pressure

Pressure predictability index −6 How much less varied Sebastien Grosjean's first-serve direction gets on break points. Positive means easier to read. Based on 132 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 49% 48% 73% / 73%
Body 7% 6% 54% / 63%
T 45% 45% 76% / 75%

672 normal · 33 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 50% 45% 70% / 73%
Body 4% 7% 55% / 63%
T 46% 47% 72% / 72%

551 normal · 99 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
Wide49% 60.0%±4.2 n=343 42% ▼
Body7% 53.7%±9.3 n=47 0% ▼
T45% 60.4%±4.3 n=315 58% ▲

Consistent with an optimal mix (p = 0.34).
Optimal mix: +0.4 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide49% 60.0%±4.3 n=319 40% ▼
Body4% 54.8%±10.8 n=28 0% ▼
T47% 64.4%±4.3 n=303 60% ▲

Consistent with an optimal mix (p = 0.36).
Optimal mix: +0.5 per 100 first serves.

Exploitability 0.46 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: +2.3±3.9 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. (579 repeats, 748 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 21 35% −1.5±11.0
1stAd courtT 156 31% +3.4±5.6
1stAd courtWide 177 26% −1.1±5.0
1stDeuce courtBody 19 33% −4.0±11.0
1stDeuce courtT 169 22% −2.7±4.9
1stDeuce courtWide 209 21% −5.8±4.4
2ndAd courtBody 66 46% −3.7±8.4
2ndAd courtT 45 46% −2.9±9.5
2ndAd courtWide 169 46% −1.9±5.8
2ndDeuce courtBody 101 49% −0.4±7.2
2ndDeuce courtT 135 45% −4.3±6.4
2ndDeuce courtWide 52 37% −11.0±8.8

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → FH inside-out used 2.9% · won 69% · +5.1±9.7 vs own baseline
  2. Wide serve (deuce court) → FH down the line + approach used 2.6% · won 68% · +3.5±10.1 vs own baseline
  3. T serve (ad court) → FH down the line used 2.2% · won 59% · −5.2±11.1 vs own baseline
  4. Wide serve (ad court) → FH down the line used 2.1% · won 58% · −6.0±11.3 vs own baseline
  5. T serve (ad court) → FH crosscourt used 2.5% · won 58% · −5.8±10.7 vs own baseline

Return

  1. vs body serve (deuce court) → FH through the middle, mid used 3.7% · won 49% · +11.2±10.8 vs own baseline
  2. vs wide serve (ad court) → BH crosscourt, mid used 7.0% · won 45% · +7.4±8.8 vs own baseline
  3. vs T serve (deuce court) → BH down the line, mid used 3.1% · won 46% · +8.2±11.3 vs own baseline
  4. vs wide serve (ad court) → BH crosscourt, short used 3.6% · won 44% · +6.8±10.8 vs own baseline
  5. vs T serve (ad court) → FH through the middle, mid used 4.4% · won 43% · +5.7±10.2 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → FH inside-out used 2.3% · won 51% · +7.2±10.7 vs own baseline
  2. BH slice crosscourt → BH crosscourt used 2.1% · won 51% · +7.3±10.9 vs own baseline
  3. FH through the middle → BH crosscourt used 2.6% · won 50% · +5.5±10.3 vs own baseline
  4. BH crosscourt → BH crosscourt used 4.7% · won 48% · +4.0±8.6 vs own baseline
  5. FH down the line → BH crosscourt used 2.1% · won 48% · +3.7±10.9 vs own baseline

Discovered sequences

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

  1. FH crosscourt → FH through the middle → FH down the line used 0.4% · won 49% · +4.9±12.9 vs own baseline · +3.2 vs tour on the same sequence
  2. BH slice crosscourt → BH crosscourt → BH crosscourt used 0.4% · won 49% · +4.9±12.9 vs own baseline · +10.2 vs tour on the same sequence Disrupted by Arnaud Clement (3/6)
  3. FH down the line → BH crosscourt → BH crosscourt used 1.1% · won 46% · +2.3±10.1 vs own baseline · −1.4 vs tour on the same sequence Disrupted by Arnaud Clement (7/9)
  4. BH through the middle → FH down the line → BH through the middle used 0.4% · won 47% · +3.6±13.0 vs own baseline · +10.1 vs tour on the same sequence
  5. FH down the line → BH crosscourt → BH through the middle used 0.6% · won 47% · +2.7±12.2 vs own baseline · +6.2 vs tour on the same sequence
  6. BH crosscourt → BH crosscourt → FH inside-out used 0.6% · won 47% · +2.7±12.2 vs own baseline · −0.8 vs tour on the same sequence Disrupted by Arnaud Clement (4/10)

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 their backhand · rally+1.7199
BH to the middle · rally+1.5191
Wide 2nd serve · ad court+1.4198
FH to their backhand · serve +1+1.1304
FH to the middle · return+0.3226

Most exposed to

FH to their backhand · serve +1−2.0235
BH to their backhand · return +1−1.8183
FH to their backhand · return−1.5149
FH to their backhand · rally−1.5430
T 2nd serve · deuce court−1.2135

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.

Run-around forehands33%
T serves · ad47%
Wide serves · deuce49%
Backhand slice31%
FH down the line33%
Chipped returns18%
Avg rally length4.1
Forehand share54%
Through the middle25%
Points at net12%
T serves · deuce45%
Unforced errors / shot9.8%
Wide serves · ad49%
Serve & volley4%
BH down the line19%
Point-ending shots22.2%
Drop shots / shot0.9%
Deep returns19%
1st serve in53%

Plays most like

  1. Nicolas Kiefer 1999–2008 plan v
  2. Tomas Berdych 2005–2019 plan v
  3. James Blake 2002–2011 plan v
  4. Andreas Seppi 2008–2021 plan v
  5. Kyle Edmund 2016–2023 plan v
  6. Rinky Hijikata 2023–2026 plan v
  7. Lucas Pouille 2015–2024 plan v
  8. Fabio Fognini 2012–2025 plan v

Closest from another era

  1. Kyle Edmund 2016–2023
  2. Rinky Hijikata 2023–2026
  3. Lucas Pouille 2015–2024

Charted matches