RallyIQ

ATP · Right-handed · 11 charted matches · 2021–2025

Benjamin Bonzi

Archetype: Ad-court T server · Two-fisted driver

Against an average opponent

Serve points won 65.1% ±3.3 raw 65.3% · tour 63.4% · 972 points
Return points won 37.2% ±3.4 raw 35.2% · tour 36.6% · 994 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 +0.02 ±0.09 better than 61% of ATP · raw +0.02
Shot selection −0.12 ±0.18 better than 36% of ATP · raw −0.11
Execution −0.84 ±0.55 better than 30% of ATP · raw −0.68
Tactical adaptability +0.03 first serves toward what's working, set to set · 11 matches
Adaptation speed +0.14 same, every two to three service games · per 100 first serves
Points left on the table 2.35 per 100 shots vs best direction · lower than 77% 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 4,641 shots.

Shot expected value

The share of points Benjamin Bonzi 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 · 225 shots

OptionUsedWin %Tour
BH crosscourt 39% 41.6%±7.8 47.6%
BH through the middle 27% 47.2%±9.2 43.7%
BH down the line 16% 48.7%±11.0 46.4%
BH slice crosscourt 8% 24.4%±11.3 42.5%
BH slice through the middle 5% 25.9%±12.9 35.1%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 218 shots

OptionUsedWin %Tour
BH crosscourt 23% 40.6%±9.6 49.1%
FH crosscourt 22% 61.1%±9.7 52.7%
FH down the line 17% 59.1%±10.6 51.5%
BH through the middle 12% 54.0%±12.0 46.8%
FH through the middle 12% 48.7%±12.1 47.0%
BH down the line 5% 44.0%±14.7 48.3%

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

position worth 44% to the average player · 193 shots

OptionUsedWin %Tour
FH crosscourt 38% 43.2%±8.5 46.6%
FH down the line 32% 52.4%±9.2 44.7%
FH through the middle 21% 55.5%±10.6 41.5%

Serve +1: mid-depth return to your middle

position worth 54% to the average player · 121 shots

OptionUsedWin %Tour
BH crosscourt 25% 51.8%±11.6 49.5%
FH crosscourt 23% 54.6%±11.8 56.0%
FH down the line 14% 53.2%±13.5 53.4%
FH through the middle 11% 46.9%±14.3 47.3%
BH through the middle 8% 54.8%±14.9 47.3%

Serve under pressure

Pressure predictability index +2 How much less varied Benjamin Bonzi's first-serve direction gets on break points. Positive means easier to read. Based on 79 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 41% 63% ▲ 72% / 73%
Body 8% 4% 67% / 63%
T 51% 33% ▼ 75% / 75%

489 normal · 24 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 45% 49% 71% / 73%
Body 10% 13% 60% / 63%
T 45% 38% 73% / 72%

402 normal · 55 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% 69.7%±4.8 n=214 55% ▲
Body8% 67.9%±9.1 n=42 0% ▼
T50% 67.4%±4.6 n=257 45% ▼

Consistent with an optimal mix (p = 0.82).
Optimal mix: +0.5 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide45% 59.5%±5.2 n=207 43% ▼
Body10% 59.8%±9.2 n=47 0% ▼
T44% 65.1%±5.1 n=203 57% ▲

Consistent with an optimal mix (p = 0.34).
Optimal mix: +0.5 per 100 first serves.

Exploitability 0.53 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±4.9 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. (375 repeats, 573 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 31 30% −7.3±9.6
1stAd courtT 134 27% −1.0±5.7
1stAd courtWide 129 21% −6.4±5.3
1stDeuce courtBody 30 43% +6.6±10.5
1stDeuce courtT 111 17% −7.7±5.3
1stDeuce courtWide 175 27% −0.3±5.1
2ndAd courtBody 69 54% +5.0±8.2
2ndAd courtT 36 53% +3.4±10.1
2ndAd courtWide 73 53% +4.6±8.1
2ndDeuce courtBody 68 48% −1.4±8.3
2ndDeuce courtT 65 51% +1.8±8.4
2ndDeuce courtWide 72 51% +3.3±8.1

Signature patterns

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

Serve → +1

  1. Body serve (deuce court) → BH crosscourt used 2.8% · won 68% · −1.9±10.9 vs own baseline
  2. T serve (deuce court) → BH crosscourt used 4.3% · won 67% · −2.6±9.9 vs own baseline
  3. Wide serve (ad court) → FH crosscourt used 5.1% · won 66% · −4.1±9.5 vs own baseline
  4. T serve (deuce court) → FH through the middle used 2.8% · won 62% · −7.9±11.3 vs own baseline
  5. T serve (deuce court) → FH crosscourt used 3.6% · won 62% · −7.3±10.6 vs own baseline

Return

  1. vs wide serve (ad court) → BH through the middle, deep used 6.3% · won 60% · +17.0±10.9 vs own baseline
  2. vs T serve (deuce court) → BH through the middle, mid used 7.1% · won 46% · +3.6±10.8 vs own baseline
  3. vs wide serve (deuce court) → FH through the middle, mid used 5.3% · won 45% · +2.1±11.6 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → FH down the line used 6.1% · won 60% · +11.1±10.1 vs own baseline
  2. BH crosscourt → BH down the line used 5.0% · won 57% · +8.6±10.8 vs own baseline
  3. FH down the line → BH crosscourt used 3.9% · won 54% · +5.5±11.6 vs own baseline
  4. BH through the middle → FH crosscourt used 6.1% · won 50% · +1.6±10.3 vs own baseline
  5. FH through the middle → FH crosscourt used 3.7% · won 49% · +0.6±11.7 vs own baseline

Discovered sequences

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

  1. BH crosscourt → BH crosscourt → BH down the line used 1.1% · won 60% · +10.0±11.5 vs own baseline · +23.2 vs tour on the same sequence Disrupted by Daniil Medvedev (3/7), Hubert Hurkacz (5/6)
  2. FH crosscourt → FH crosscourt → FH down the line used 2.0% · won 57% · +7.0±9.8 vs own baseline · +14.6 vs tour on the same sequence Disrupted by Hubert Hurkacz (2/6), Daniil Medvedev (6/10)
  3. FH crosscourt → FH crosscourt → FH crosscourt used 0.8% · won 55% · +4.5±12.5 vs own baseline · +12.3 vs tour on the same sequence
  4. BH crosscourt → BH through the middle → FH crosscourt used 1.2% · won 54% · +3.7±11.5 vs own baseline · +4.6 vs tour on the same sequence Disrupted by Daniil Medvedev (5/6)
  5. FH crosscourt → FH crosscourt → FH through the middle used 1.0% · won 53% · +3.0±11.9 vs own baseline · +11.9 vs tour on the same sequence Disrupted by Adrian Andreev (4/6)
  6. BH crosscourt → BH crosscourt → BH through the middle used 1.0% · won 50% · −0.2±12.0 vs own baseline · +4.7 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 their backhand · rally+1.5203
BH to the middle · rally+1.4142
BH to the middle · return±0.0213
BH to their backhand · serve +1±0.0147
T 1st serve · deuce court−0.5257

Most exposed to

FH to their backhand · serve +1−1.4149
FH to their backhand · rally−1.4173
Wide 1st serve · ad court−1.3227
Wide 1st serve · deuce court−1.2258
BH to their backhand · rally−0.6250

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.

Chipped returns28%
Deep returns33%
T serves · ad44%
T serves · deuce50%
FH down the line33%
BH down the line22%
1st serve in62%
Point-ending shots24.6%
Points at net11%
Unforced errors / shot9.4%
Wide serves · deuce42%
Serve & volley3%
Through the middle23%
Avg rally length3.7
Drop shots / shot1.0%
Backhand slice14%
Forehand share50%
Wide serves · ad45%
Run-around forehands9%

Plays most like

  1. Denis Istomin 2006–2021 plan v
  2. Tomas Machac 2020–2026 plan v
  3. Kei Nishikori 2011–2025 plan v
  4. Learner Tien 2022–2026 plan v
  5. Richard Gasquet 2002–2025 plan v
  6. Laslo Djere 2018–2026 plan v
  7. Karen Khachanov 2015–2026 plan v
  8. Fabio Fognini 2012–2025 plan v

Closest from another era

  1. Ivan Ljubicic 2003–2011
  2. David Nalbandian 2002–2012
  3. Nikolay Davydenko 2002–2014

Charted matches