ATP · Right-handed · 53 charted matches · 2024–2026
Joao Fonseca
Archetype: High-risk · Runs around the backhand
Against an average opponent
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
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 18,783 shots.
Shot expected value
The share of points Joao Fonseca 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 · 1,297 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 39% | 48.4%±3.6 | 47.6% |
| BH through the middle | 21% | 46.0%±4.8 | 43.7% |
| BH down the line | 15% | 45.1%±5.5 | 46.4% |
| BH slice through the middle | 6% | 35.3%±7.8 | 35.1% |
| BH slice crosscourt | 5% | 36.7%±8.7 | 42.5% |
| FH inside-in | 4% | 57.0%±9.7 | 54.7% |
| BH slice down the line | 4% | 43.0%±10.0 | 37.1% |
| FH inside-out | 4% | 49.0%±10.1 | 51.8% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 800 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 39% | 52.4%±4.5 | 46.6% |
| FH down the line | 27% | 46.8%±5.4 | 44.7% |
| FH through the middle | 19% | 42.4%±6.2 | 41.5% |
| FH slice through the middle | 7% | 21.4%±7.6 | 24.5% |
| FH slice down the line | 4% | 25.7%±10.1 | 25.6% |
| FH slice crosscourt | 4% | 27.5%±10.6 | 30.9% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 757 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 27% | 56.1%±5.5 | 52.7% |
| FH down the line | 23% | 57.3%±5.8 | 51.5% |
| FH through the middle | 13% | 46.6%±7.5 | 47.0% |
| BH crosscourt | 11% | 50.8%±8.1 | 49.1% |
| BH through the middle | 9% | 54.3%±8.7 | 46.8% |
| BH down the line | 8% | 48.9%±9.4 | 48.3% |
| FH down the line + approach | 3% | 73.4%±11.3 | 70.5% |
| BH slice through the middle | 2% | 41.0%±13.9 | 44.8% |
Return +1: drive to your backhand side
position worth 44% to the average player · 742 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 35% | 47.8%±5.0 | 46.9% |
| BH through the middle | 22% | 45.4%±6.0 | 43.0% |
| BH down the line | 14% | 47.8%±7.4 | 44.2% |
| BH slice through the middle | 11% | 28.0%±7.3 | 32.6% |
| BH slice crosscourt | 8% | 44.4%±9.3 | 40.9% |
| BH slice down the line | 6% | 33.9%±9.7 | 33.3% |
| FH inside-out | 2% | 45.6%±13.3 | 51.7% |
Serve under pressure
Pressure predictability index +2 How much less varied Joao Fonseca's first-serve direction gets on break points. Positive means easier to read. Based on 260 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 43% | 42% | 76% / 73% |
| Body | 9% | 6% | 65% / 63% |
| T | 48% | 52% | 76% / 75% |
2,039 normal · 65 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 52% | 53% | 69% / 73% |
| Body | 10% | 10% | 61% / 63% |
| T | 37% | 37% | 70% / 72% |
1,709 normal · 195 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 serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 43% | 70.0%±2.5 n=898 | 56% ▲ |
| Body | 9% | 65.5%±5.3 n=190 | 0% ▼ |
| T | 48% | 67.6%±2.4 n=1,016 | 44% ▼ |
Consistent with an optimal mix (p = 0.28).
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 52% | 61.9%±2.5 n=999 | 50% ▼ |
| Body | 10% | 59.7%±5.3 n=198 | 0% ▼ |
| T | 37% | 64.1%±2.9 n=707 | 50% ▲ |
Consistent with an optimal mix (p = 0.38).
Optimal mix: +0.6 per 100 first serves.
Exploitability 0.68 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: +1.0±2.5 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. (1,637 repeats, 2,265 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 129 | 38% | +0.8±6.3 | |
| 1st | Ad court | T | 492 | 26% | −2.5±3.1 | |
| 1st | Ad court | Wide | 616 | 28% | +1.1±2.9 | |
| 1st | Deuce court | Body | 127 | 40% | +3.4±6.4 | |
| 1st | Deuce court | T | 639 | 27% | +1.9±2.8 | |
| 1st | Deuce court | Wide | 617 | 31% | +3.8±3.0 | |
| 2nd | Ad court | Body | 207 | 54% | +4.1±5.3 | |
| 2nd | Ad court | T | 154 | 53% | +3.3±6.1 | |
| 2nd | Ad court | Wide | 367 | 49% | +0.6±4.1 | |
| 2nd | Deuce court | Body | 222 | 48% | −1.1±5.2 | |
| 2nd | Deuce court | T | 381 | 47% | −2.5±4.1 | |
| 2nd | Deuce court | Wide | 166 | 48% | −0.4±5.9 |
Signature patterns
Recurring sequences that win more than Joao Fonseca's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- T serve (ad court) → FH down the line used 2.0% · won 67% · −2.0±7.6 vs own baseline
- T serve (deuce court) → FH crosscourt used 3.4% · won 66% · −3.0±6.3 vs own baseline
- Wide serve (deuce court) → FH down the line used 3.5% · won 66% · −2.9±6.2 vs own baseline
- T serve (deuce court) → FH down the line used 3.6% · won 64% · −4.8±6.2 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 3.2% · won 64% · −5.4±6.6 vs own baseline
Return
- vs wide serve (ad court) → BH crosscourt, deep used 2.3% · won 53% · +11.0±8.4 vs own baseline
- vs wide serve (deuce court) → FH through the middle, deep used 2.4% · won 51% · +9.4±8.3 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 3.5% · won 49% · +7.2±7.1 vs own baseline
- vs T serve (deuce court) → BH through the middle, deep used 2.2% · won 47% · +5.6±8.5 vs own baseline
- vs wide serve (ad court) → BH through the middle, deep used 2.4% · won 46% · +4.8±8.2 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH crosscourt used 3.5% · won 62% · +12.6±6.8 vs own baseline
- BH down the line → BH crosscourt used 1.4% · won 61% · +11.2±9.4 vs own baseline
- BH crosscourt → FH crosscourt used 3.0% · won 57% · +7.5±7.3 vs own baseline
- BH crosscourt → FH down the line used 2.4% · won 56% · +6.4±8.0 vs own baseline
- FH crosscourt → BH down the line used 1.2% · won 58% · +8.3±9.9 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Joao Fonseca wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Wide serve → BH through the middle return, mid → FH down the line used 0.3% · won 67% · +16.9±10.3 vs own baseline · +23.3 vs tour on the same sequence
- FH down the line → BH through the middle → FH crosscourt used 0.5% · won 63% · +12.5±9.6 vs own baseline · +15.2 vs tour on the same sequence
- FH crosscourt → FH slice through the middle → FH crosscourt used 0.2% · won 66% · +16.3±11.5 vs own baseline · +20.1 vs tour on the same sequence
- T serve → BH through the middle return, deep → FH down the line used 0.3% · won 63% · +13.4±10.6 vs own baseline · +24.5 vs tour on the same sequence
- BH through the middle → FH down the line → BH crosscourt used 0.6% · won 60% · +9.8±9.2 vs own baseline · +18.0 vs tour on the same sequence
- Wide serve → BH crosscourt return, mid → BH down the line used 0.3% · won 64% · +14.3±11.3 vs own baseline · +28.2 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 · return | +4.1 | 223 |
| BH to their forehand · return | +3.3 | 283 |
| T 2nd serve · deuce court | +3.1 | 238 |
| T 1st serve · deuce court | +2.9 | 1,004 |
| BH to their forehand · serve +1 | +2.5 | 228 |
Most exposed to
| BH to their forehand · return | −2.9 | 221 |
| BH to their backhand · return | −2.8 | 557 |
| BH to their forehand · return +1 | −2.6 | 133 |
| T 2nd serve · deuce court | −2.3 | 375 |
| BH to the middle · return | −2.0 | 740 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Rafael Nadal +1.22, Jack Draper +1.01, Miomir Kecmanovic +0.91, Casper Ruud +0.81, Nishesh Basavareddy +0.76
Favourable matchups
Fabian Marozsan +1.64, Miomir Kecmanovic +1.60, Pedro Martinez +1.52, Alexander Shevchenko +1.39, Roberto Bautista Agut +1.33
Active players who are best at the shot in the top weakness: Ugo Humbert, Karen Khachanov, Andy Murray, Yoshihito Nishioka, Roberto Bautista Agut
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| 1st serve in | 66% | |
| BH down the line | 26% | |
| Point-ending shots | 28.0% | |
| Unforced errors / shot | 11.7% | |
| Deep returns | 32% | |
| FH down the line | 33% | |
| Run-around forehands | 24% | |
| T serves · deuce | 48% | |
| Drop shots / shot | 2.0% | |
| Wide serves · ad | 52% | |
| Forehand share | 55% | |
| Chipped returns | 16% | |
| Backhand slice | 21% | |
| Wide serves · deuce | 43% | |
| T serves · ad | 37% | |
| Avg rally length | 3.8 | |
| Serve & volley | 2% | |
| Points at net | 8% | |
| Through the middle | 21% |
Plays most like
- Fernando Verdasco 2005–2022 plan v
- Hubert Hurkacz 2018–2026 plan v
- Sebastian Korda 2021–2026 plan v
- Alexei Popyrin 2019–2026 plan v
- Fabian Marozsan 2021–2026 plan v
- Jo Wilfried Tsonga 2007–2022 plan v
- Laslo Djere 2018–2026 plan v
- Dominic Thiem 2011–2024 plan v
Closest from another era
- Robin Soderling 2004–2011
- Nikolay Davydenko 2002–2014
- Fernando Gonzalez 2000–2010
Charted matches
- Joao Fonseca v Rafael Jodar L Madrid Masters R32 · Clay · 26 Apr 2026
- Ben Shelton v Joao Fonseca L Munich QF · Clay · 17 Apr 2026
- Joao Fonseca v Arthur Rinderknech W Munich R16 · Clay · 15 Apr 2026
- Joao Fonseca v Alexander Zverev L Monte Carlo Masters QF · Clay · 10 Apr 2026
- Joao Fonseca v Matteo Berrettini W Monte Carlo Masters R16 · Clay · 9 Apr 2026
- Joao Fonseca v Carlos Alcaraz L Miami Masters R64 · Hard · 20 Mar 2026
- Fabian Marozsan v Joao Fonseca W Miami Masters R128 · Hard · 19 Mar 2026
- Joao Fonseca v Jannik Sinner L Indian Wells Masters R16 · Hard · 10 Mar 2026
- Joao Fonseca v Tommy Paul W Indian Wells Masters R32 · Hard · 9 Mar 2026
- Thiago Monteiro v Joao Fonseca Rio de Janeiro R32 · Clay · 17 Feb 2026
- Alejandro Tabilo v Joao Fonseca L Buenos Aires R16 · Clay · 11 Feb 2026
- Joao Fonseca v Alejandro Davidovich Fokina W Basel F · Hard · 26 Oct 2025