RallyIQ

ATP · Right-handed · 11 charted matches · 1991–2000

Marc Rosset

Archetype: High-risk · Runs around the backhand

Against an average opponent

Serve points won 66.4% ±2.8 raw 64.3% · tour 63.4% · 1,247 points
Return points won 34.7% ±2.9 raw 31.1% · tour 36.6% · 1,199 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 −0.21 ±0.21 better than 13% of ATP · raw −0.21
Shot selection +0.30 ±0.27 better than 79% of ATP · raw +0.30
Execution −0.66 ±0.55 better than 38% of ATP · raw −0.68
Tactical adaptability −0.10 first serves toward what's working, set to set · 11 matches
Adaptation speed −0.06 same, every two to three service games · per 100 first serves
Points left on the table 3.52 per 100 shots vs best direction · lower than 8% 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 5,359 shots.

Shot expected value

The share of points Marc Rosset 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 · 347 shots

OptionUsedWin %Tour
BH crosscourt 25% 43.1%±7.8 47.6%
FH inside-out 15% 56.1%±9.6 51.8%
BH slice crosscourt 13% 37.1%±9.8 42.5%
BH through the middle 10% 35.3%±10.5 43.7%
BH slice through the middle 8% 34.8%±11.2 35.1%
FH through the middle 8% 46.9%±12.0 45.2%
FH inside-in 8% 57.3%±11.9 54.7%
BH down the line 6% 49.5%±12.8 46.4%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 193 shots

OptionUsedWin %Tour
BH crosscourt 25% 44.3%±9.8 48.0%
BH slice crosscourt 23% 40.7%±10.0 42.1%
BH through the middle 14% 39.9%±11.8 43.8%
FH inside-out 11% 50.1%±12.8 52.6%
FH inside-in 8% 59.6%±13.6 54.3%
BH down the line 6% 47.8%±14.5 46.5%
BH slice through the middle 6% 28.2%±13.1 35.1%

Return +1: drive to your backhand side

position worth 44% to the average player · 162 shots

OptionUsedWin %Tour
BH slice crosscourt 22% 34.9%±10.6 40.9%
BH crosscourt 21% 41.5%±11.0 46.9%
FH inside-out 19% 44.7%±11.6 51.7%
BH through the middle 12% 42.6%±13.0 43.0%
BH slice through the middle 11% 35.6%±12.8 32.6%
FH inside-in 7% 42.9%±14.4 53.6%

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

position worth 44% to the average player · 156 shots

OptionUsedWin %Tour
FH crosscourt 49% 33.3%±7.9 46.6%
FH down the line 26% 39.9%±10.4 44.7%
FH through the middle 25% 37.8%±10.4 41.5%

Serve under pressure

Pressure predictability index +2 How much less varied Marc Rosset's first-serve direction gets on break points. Positive means easier to read. Based on 101 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 33% 58% ▲ 74% / 73%
Body 15% 0% ▼ 70% / 63%
T 52% 42% ▼ 82% / 75%

588 normal · 19 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 36% 38% 72% / 73%
Body 16% 22% 63% / 63%
T 48% 40% 78% / 72%

471 normal · 82 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
Wide34% 60.9%±5.2 n=206 34%
Body15% 69.2%±7.0 n=88 1% ▼
T52% 65.5%±4.2 n=313 65% ▲

Consistent with an optimal mix (p = 0.19).
Optimal mix: +0.4 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide36% 60.3%±5.3 n=200 36%
Body17% 61.9%±7.1 n=95 4% ▼
T47% 63.5%±4.7 n=258 60% ▲

Consistent with an optimal mix (p = 0.73).
Optimal mix: +0.5 per 100 first serves.

Exploitability 0.43 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: +0.4±5.8 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. (390 repeats, 748 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 33 32% −5.1±9.7
1stAd courtT 116 22% −5.8±5.7
1stAd courtWide 185 32% +4.9±5.2
1stDeuce courtBody 99 29% −7.2±6.6
1stDeuce courtT 138 24% −1.5±5.4
1stDeuce courtWide 122 22% −4.7±5.6
2ndAd courtBody 47 41% −8.1±9.2
2ndAd courtT 25 45% −4.2±11.0
2ndAd courtWide 120 43% −5.4±6.6
2ndDeuce courtBody 70 47% −2.3±8.2
2ndDeuce courtT 95 46% −3.4±7.3
2ndDeuce courtWide 48 44% −3.9±9.2

Signature patterns

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

Serve → +1

  1. Not enough data

Return

  1. vs wide serve (deuce court) → FH through the middle, deep used 3.9% · won 50% · +16.7±11.7 vs own baseline
  2. vs wide serve (ad court) → BH crosscourt, mid used 5.3% · won 37% · +3.5±10.5 vs own baseline
  3. vs wide serve (deuce court) → FH through the middle, mid used 3.9% · won 36% · +2.7±11.2 vs own baseline
  4. vs T serve (ad court) → FH through the middle, short used 4.3% · won 35% · +1.3±10.9 vs own baseline
  5. vs body serve (deuce court) → FH through the middle, mid used 4.1% · won 33% · ±0.0±10.9 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → FH down the line used 3.6% · won 49% · +7.6±11.2 vs own baseline
  2. BH crosscourt → BH crosscourt used 3.3% · won 45% · +3.7±11.4 vs own baseline
  3. FH through the middle → BH crosscourt used 3.1% · won 40% · −1.3±11.4 vs own baseline
  4. FH through the middle → FH crosscourt used 3.1% · won 40% · −1.3±11.4 vs own baseline
  5. BH crosscourt → FH crosscourt used 3.4% · won 38% · −2.8±11.0 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Marc Rosset 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 down the line used 0.7% · won 48% · +3.3±12.7 vs own baseline · +6.2 vs tour on the same sequence Disrupted by Andre Agassi (5/8)
  2. FH down the line → BH slice crosscourt → FH inside-in used 0.7% · won 44% · −0.4±12.8 vs own baseline · −15.9 vs tour on the same sequence Disrupted by Andre Agassi (3/7)
  3. FH through the middle → FH crosscourt → FH crosscourt used 0.8% · won 44% · −1.2±12.3 vs own baseline · −3.8 vs tour on the same sequence Disrupted by Andre Agassi (3/8), Jordi Arrese (3/8)
  4. FH crosscourt → FH down the line → BH crosscourt used 0.9% · won 37% · −8.2±11.6 vs own baseline · −21.6 vs tour on the same sequence Disrupted by Andre Agassi (0/7), Jordi Arrese (3/9)
  5. FH crosscourt → FH crosscourt → FH crosscourt used 1.0% · won 33% · −11.8±11.1 vs own baseline · −28.0 vs tour on the same sequence Disrupted by Jordi Arrese (0/7), Andre Agassi (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

T 1st serve · deuce court+2.5313
Wide 1st serve · deuce court+1.6206
T 1st serve · ad court+0.9258
FH to their forehand · serve +1+0.6127
Wide 1st serve · ad court+0.6200

Most exposed to

FH to their forehand · serve +1−2.3131
T 1st serve · ad court−2.0183
Wide 1st serve · deuce court−1.6192
Wide 2nd serve · ad court−1.6120
BH to their backhand · rally−1.5255

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.

Run-around forehands42%
Forehand share62%
BH down the line29%
Backhand slice40%
Serve & volley33%
T serves · ad47%
T serves · deuce52%
Points at net17%
Deep returns27%
Chipped returns16%
Point-ending shots23.6%
FH down the line29%
Unforced errors / shot9.1%
Avg rally length3.6
Drop shots / shot0.7%
Through the middle22%
1st serve in57%
Wide serves · deuce34%
Wide serves · ad36%

Plays most like

  1. James Blake 2002–2011 plan v
  2. Jack Sock 2014–2022 plan v
  3. Lucas Pouille 2015–2024 plan v
  4. Jim Courier 1989–1999 plan v
  5. Alexei Popyrin 2019–2026 plan v
  6. Andy Roddick 2001–2012 plan v
  7. Jo Wilfried Tsonga 2007–2022 plan v
  8. Tomas Berdych 2005–2019 plan v

Closest from another era

  1. Jack Sock 2014–2022
  2. Lucas Pouille 2015–2024
  3. Alexei Popyrin 2019–2026

Charted matches