ATP · Right-handed · 18 charted matches · 2021–2026
Nuno Borges
Archetype: Rallies through the middle · Crosscourt 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 7,949 shots.
Shot expected value
The share of points Nuno Borges 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 middle
position worth 51% to the average player · 486 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH through the middle | 27% | 44.9%±6.7 | 47.0% |
| FH crosscourt | 20% | 52.6%±7.6 | 52.7% |
| FH down the line | 18% | 52.2%±8.0 | 51.5% |
| BH through the middle | 17% | 51.3%±8.1 | 46.8% |
| BH down the line | 8% | 45.2%±10.7 | 48.3% |
| BH crosscourt | 6% | 42.8%±11.4 | 49.1% |
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 449 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 38% | 42.8%±6.0 | 47.6% |
| BH through the middle | 30% | 41.9%±6.6 | 43.7% |
| BH down the line | 14% | 46.1%±9.0 | 46.4% |
| BH slice crosscourt | 6% | 41.1%±12.1 | 42.5% |
| FH inside-out | 5% | 47.2%±12.8 | 51.8% |
| BH slice through the middle | 4% | 35.2%±12.9 | 35.1% |
| FH inside-in | 2% | 61.1%±14.4 | 54.7% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 345 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 44% | 50.5%±6.3 | 46.6% |
| FH through the middle | 21% | 42.1%±8.5 | 41.5% |
| FH down the line | 17% | 48.7%±9.2 | 44.7% |
| FH slice through the middle | 11% | 18.5%±8.3 | 24.5% |
| FH slice crosscourt | 4% | 47.6%±14.1 | 30.9% |
Return +1: drive to your backhand side
position worth 44% to the average player · 236 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 35% | 45.9%±8.2 | 46.9% |
| BH through the middle | 30% | 31.8%±8.1 | 43.0% |
| BH down the line | 13% | 53.7%±11.6 | 44.2% |
| BH slice crosscourt | 6% | 44.6%±14.0 | 40.9% |
| BH slice through the middle | 5% | 29.7%±13.3 | 32.6% |
Serve under pressure
Pressure predictability index +2 How much less varied Nuno Borges's first-serve direction gets on break points. Positive means easier to read. Based on 126 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 43% | 40% | 74% / 73% |
| Body | 9% | 12% | 63% / 63% |
| T | 47% | 48% | 72% / 75% |
811 normal · 25 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 45% | 55% ▲ | 71% / 73% |
| Body | 12% | 12% | 62% / 63% |
| T | 43% | 33% ▼ | 65% / 72% |
658 normal · 101 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% | 66.8%±3.9 n=361 | 56% ▲ |
| Body | 10% | 61.3%±7.6 n=80 | 0% ▼ |
| T | 47% | 63.7%±3.8 n=395 | 44% ▼ |
Consistent with an optimal mix (p = 0.37).
Optimal mix: +0.6 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 47% | 65.5%±4.0 n=354 | 60% ▲ |
| Body | 12% | 57.3%±7.4 n=90 | 0% ▼ |
| T | 42% | 61.1%±4.3 n=315 | 40% ▼ |
Consistent with an optimal mix (p = 0.13).
Optimal mix: +0.7 per 100 first serves.
Exploitability 0.66 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: −3.1±3.6 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. (595 repeats, 964 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 | 54 | 27% | −9.5±8.0 | |
| 1st | Ad court | T | 178 | 30% | +2.0±5.2 | |
| 1st | Ad court | Wide | 247 | 24% | −3.3±4.2 | |
| 1st | Deuce court | Body | 76 | 34% | −2.7±7.6 | |
| 1st | Deuce court | T | 203 | 21% | −4.2±4.4 | |
| 1st | Deuce court | Wide | 231 | 25% | −2.2±4.4 | |
| 2nd | Ad court | Body | 90 | 53% | +3.8±7.5 | |
| 2nd | Ad court | T | 34 | 53% | +3.5±10.3 | |
| 2nd | Ad court | Wide | 153 | 51% | +2.7±6.1 | |
| 2nd | Deuce court | Body | 134 | 55% | +6.3±6.4 | |
| 2nd | Deuce court | T | 109 | 44% | −5.9±6.9 | |
| 2nd | Deuce court | Wide | 63 | 55% | +7.2±8.5 |
Signature patterns
Recurring sequences that win more than Nuno Borges's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 3.6% · won 68% · +0.7±8.6 vs own baseline
- Body serve (ad court) → FH crosscourt used 2.2% · won 62% · −6.1±10.4 vs own baseline
- Wide serve (ad court) → FH through the middle used 2.6% · won 62% · −5.6±9.9 vs own baseline
- T serve (ad court) → FH crosscourt used 3.0% · won 62% · −5.3±9.4 vs own baseline
- Body serve (deuce court) → FH crosscourt used 2.2% · won 59% · −8.8±10.4 vs own baseline
Return
- vs body serve (deuce court) → FH through the middle, mid used 3.3% · won 53% · +11.8±10.7 vs own baseline
- vs wide serve (deuce court) → FH through the middle, deep used 3.0% · won 53% · +12.0±10.9 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 5.2% · won 49% · +7.8±9.3 vs own baseline
- vs body serve (deuce court) → FH through the middle, deep used 2.5% · won 51% · +9.4±11.4 vs own baseline
- vs body serve (deuce court) → BH through the middle, mid used 2.6% · won 48% · +6.6±11.3 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH down the line used 5.2% · won 53% · +5.6±8.2 vs own baseline
- FH through the middle → BH through the middle used 4.0% · won 53% · +5.1±9.0 vs own baseline
- BH through the middle → FH down the line used 2.9% · won 53% · +5.7±9.9 vs own baseline
- FH through the middle → BH down the line used 2.2% · won 54% · +6.3±10.8 vs own baseline
- BH down the line → FH down the line used 2.2% · won 54% · +6.3±10.8 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Nuno Borges wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH crosscourt → FH through the middle used 0.6% · won 58% · +7.9±11.4 vs own baseline · +20.8 vs tour on the same sequence
- FH through the middle → FH through the middle → FH through the middle used 0.6% · won 57% · +7.0±11.5 vs own baseline · +17.3 vs tour on the same sequence Disrupted by Oleksandr Ovcharenko (4/6)
- Wide serve → BH through the middle return, mid → FH crosscourt used 0.4% · won 58% · +8.4±12.5 vs own baseline · +11.8 vs tour on the same sequence
- Wide serve → BH through the middle return, deep → FH through the middle used 0.4% · won 57% · +7.3±12.7 vs own baseline · +25.2 vs tour on the same sequence
- FH through the middle → FH through the middle → BH through the middle used 0.4% · won 55% · +4.7±12.5 vs own baseline · +15.8 vs tour on the same sequence
- FH through the middle → BH through the middle → FH crosscourt used 0.4% · won 55% · +4.7±12.5 vs own baseline · +9.8 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 the middle · serve +1 | +1.1 | 171 |
| Wide 2nd serve · ad court | +0.9 | 126 |
| FH to the middle · return | +0.9 | 260 |
| T 1st serve · deuce court | +0.2 | 395 |
| Wide 1st serve · ad court | +0.1 | 354 |
Most exposed to
| Wide 1st serve · ad court | −1.8 | 385 |
| BH to their forehand · rally | −1.2 | 205 |
| FH to the middle · return | −0.9 | 282 |
| FH to their forehand · serve +1 | −0.8 | 201 |
| BH to the middle · return +1 | −0.7 | 137 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Rafael Nadal +1.10, Miomir Kecmanovic +0.90, Jack Draper +0.82, Pedro Martinez +0.71, Casper Ruud +0.69
Favourable matchups
Miomir Kecmanovic +0.55, Fabian Marozsan +0.52, Pedro Martinez +0.47, Roberto Bautista Agut +0.39, Roberto Carballes Baena +0.36
Active players who are best at the shot in the top weakness: Giovanni Mpetshi Perricard, Reilly Opelka, Nicolas Jarry, Nick Kyrgios, Maxime Cressy
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Through the middle | 31% | |
| 1st serve in | 67% | |
| Forehand share | 59% | |
| Deep returns | 34% | |
| Drop shots / shot | 2.3% | |
| T serves · ad | 42% | |
| T serves · deuce | 47% | |
| Avg rally length | 4.0 | |
| BH down the line | 21% | |
| Run-around forehands | 18% | |
| Wide serves · deuce | 43% | |
| Unforced errors / shot | 9.7% | |
| Chipped returns | 14% | |
| Point-ending shots | 22.7% | |
| FH down the line | 29% | |
| Serve & volley | 1% | |
| Backhand slice | 14% | |
| Wide serves · ad | 47% | |
| Points at net | 8% |
Plays most like
- Mackenzie Mcdonald 2015–2025 plan v
- Arthur Cazaux 2020–2025 plan v
- Alejandro Tabilo 2021–2026 plan v
- Zhizhen Zhang 2019–2026 plan v
- Miomir Kecmanovic 2019–2026 plan v
- Ben Shelton 2021–2026 plan v
- Filip Krajinovic 2017–2023 plan v
- Gael Monfils 2005–2026 plan v
Closest from another era
- Nikolay Davydenko 2002–2014
- Andrei Pavel 1999–2006
- Robin Soderling 2004–2011
Charted matches
- Learner Tien v Nuno Borges L Australian Open R32 · Hard · 23 Jan 2026
- Stefanos Sakellaridis v Nuno Borges W Athens R32 · Hard · 2 Nov 2025
- Nuno Borges v Francisco Cerundolo W Wimbledon R128 · Grass · 30 Jun 2025
- Kyrian Jacquet v Nuno Borges Roland Garros R128 · Clay · 25 May 2025
- Andrey Rublev v Nuno Borges L Doha R16 · Hard · 19 Feb 2025
- Nuno Borges v Carlos Alcaraz L Australian Open R32 · Hard · 17 Jan 2025
- Andrey Rublev v Nuno Borges L Basel R32 · Hard · 21 Oct 2024
- Nuno Borges v Daniil Medvedev L US Open R16 · Hard · 2 Sep 2024
- Jakub Mensik v Nuno Borges W US Open R32 · Hard · 31 Aug 2024
- Nuno Borges v Alexander Zverev L Rome Masters R16 · Clay · 14 May 2024
- Casper Ruud v Nuno Borges L Los Cabos QF · Hard · 22 Feb 2024
- Stefanos Tsitsipas v Nuno Borges L Rome Masters R64 · Clay · 14 May 2023