ATP · Right-handed · 18 charted matches · 2016–2024
Radu Albot
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 6,499 shots.
Shot expected value
The share of points Radu Albot 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 · 451 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 38% | 45.8%±5.9 | 47.6% |
| BH through the middle | 23% | 40.0%±7.3 | 43.7% |
| FH inside-out | 9% | 56.3%±10.4 | 51.8% |
| BH slice crosscourt | 8% | 45.5%±10.9 | 42.5% |
| FH inside-in | 7% | 46.9%±11.5 | 54.7% |
| BH slice through the middle | 5% | 37.3%±12.1 | 35.1% |
| BH down the line | 5% | 44.8%±12.5 | 46.4% |
| FH through the middle | 2% | 42.1%±14.6 | 45.2% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 305 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 26% | 55.5%±8.2 | 52.7% |
| FH down the line | 24% | 46.1%±8.5 | 51.5% |
| FH through the middle | 24% | 47.7%±8.5 | 47.0% |
| BH crosscourt | 11% | 34.2%±10.5 | 49.1% |
| BH through the middle | 7% | 42.4%±12.7 | 46.8% |
| FH down the line + approach | 4% | 71.3%±13.4 | 70.5% |
Long rally, 9+: drive to your backhand side
position worth 46% to the average player · 260 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 38% | 39.2%±7.4 | 48.0% |
| BH through the middle | 19% | 41.7%±9.8 | 43.8% |
| BH slice crosscourt | 15% | 43.1%±10.6 | 42.1% |
| BH down the line | 7% | 37.6%±12.9 | 46.5% |
| FH inside-out | 6% | 57.0%±13.6 | 52.6% |
| BH slice through the middle | 6% | 39.0%±13.4 | 35.1% |
| FH inside-in | 4% | 60.8%±14.4 | 54.3% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 243 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 41% | 45.3%±7.5 | 46.6% |
| FH through the middle | 32% | 45.7%±8.3 | 41.5% |
| FH down the line | 20% | 43.4%±9.8 | 44.7% |
| FH slice through the middle | 4% | 43.0%±14.9 | 24.5% |
Serve under pressure
Pressure predictability index −1 How much less varied Radu Albot's first-serve direction gets on break points. Positive means easier to read. Based on 123 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 42% | 66% ▲ | 69% / 73% |
| Body | 20% | 13% | 69% / 63% |
| T | 38% | 22% ▼ | 68% / 75% |
631 normal · 32 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 55% | 38% ▼ | 68% / 73% |
| Body | 16% | 20% | 67% / 63% |
| T | 29% | 42% ▲ | 62% / 72% |
517 normal · 91 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% | 63.3%±4.5 n=285 | 56% ▲ |
| Body | 20% | 65.3%±6.2 n=131 | 7% ▼ |
| T | 37% | 59.0%±4.9 n=247 | 37% |
Consistent with an optimal mix (p = 0.28).
Optimal mix: +0.3 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 53% | 61.6%±4.3 n=321 | 66% ▲ |
| Body | 16% | 58.6%±7.1 n=99 | 3% ▼ |
| T | 31% | 56.2%±5.5 n=188 | 31% |
Consistent with an optimal mix (p = 0.38).
Optimal mix: +0.4 per 100 first serves.
Exploitability 0.33 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: −0.8±4.0 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. (419 repeats, 816 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 | 29 | 31% | −6.3±9.9 | |
| 1st | Ad court | T | 135 | 28% | +0.1±5.8 | |
| 1st | Ad court | Wide | 204 | 24% | −2.8±4.6 | |
| 1st | Deuce court | Body | 38 | 41% | +4.5±9.8 | |
| 1st | Deuce court | T | 170 | 24% | −0.8±5.0 | |
| 1st | Deuce court | Wide | 188 | 25% | −1.9±4.8 | |
| 2nd | Ad court | Body | 59 | 56% | +6.6±8.7 | |
| 2nd | Ad court | T | 58 | 49% | −0.7±8.8 | |
| 2nd | Ad court | Wide | 126 | 48% | ±0.0±6.6 | |
| 2nd | Deuce court | Body | 86 | 51% | +2.5±7.6 | |
| 2nd | Deuce court | T | 119 | 50% | −0.1±6.7 | |
| 2nd | Deuce court | Wide | 61 | 44% | −3.7±8.6 |
Signature patterns
Recurring sequences that win more than Radu Albot's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (deuce court) → FH down the line + approach used 2.4% · won 71% · +5.9±10.4 vs own baseline
- T serve (deuce court) → FH down the line used 2.6% · won 64% · −0.3±10.6 vs own baseline
- Wide serve (ad court) → FH crosscourt used 2.2% · won 64% · −1.1±11.1 vs own baseline
- Wide serve (ad court) → FH through the middle used 2.4% · won 63% · −1.7±10.9 vs own baseline
- Wide serve (ad court) → FH inside-out used 2.5% · won 62% · −2.8±10.9 vs own baseline
Return
- vs wide serve (ad court) → BH crosscourt, short used 5.3% · won 48% · +9.1±10.4 vs own baseline
- vs T serve (deuce court) → BH through the middle, mid used 4.6% · won 48% · +8.9±10.8 vs own baseline
- vs wide serve (ad court) → BH through the middle, deep used 3.5% · won 46% · +7.6±11.5 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 7.1% · won 43% · +4.6±9.4 vs own baseline
- vs T serve (ad court) → FH through the middle, mid used 4.6% · won 42% · +3.8±10.7 vs own baseline
Rally, consecutive own shots
- FH down the line → FH inside-out used 2.1% · won 53% · +10.9±11.4 vs own baseline
- FH crosscourt → FH crosscourt used 4.1% · won 50% · +7.2±9.5 vs own baseline
- FH through the middle → BH through the middle used 3.4% · won 48% · +5.6±10.1 vs own baseline
- FH crosscourt → FH down the line used 3.9% · won 47% · +4.4±9.6 vs own baseline
- BH crosscourt → FH down the line used 3.2% · won 45% · +2.4±10.2 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Radu Albot wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH down the line → BH slice crosscourt → FH inside-out used 0.5% · won 59% · +10.2±12.7 vs own baseline · +20.1 vs tour on the same sequence
- FH crosscourt → FH through the middle → FH crosscourt used 0.5% · won 57% · +7.8±12.8 vs own baseline · +14.1 vs tour on the same sequence
- FH crosscourt → FH through the middle → FH down the line used 0.5% · won 54% · +5.2±12.5 vs own baseline · +8.1 vs tour on the same sequence
- FH through the middle → FH through the middle → FH through the middle used 0.5% · won 54% · +5.3±12.8 vs own baseline · +15.8 vs tour on the same sequence
- FH inside-out → BH through the middle → FH crosscourt used 0.5% · won 53% · +4.1±12.7 vs own baseline · +4.9 vs tour on the same sequence
- FH through the middle → BH crosscourt → BH crosscourt used 0.5% · won 52% · +2.8±12.5 vs own baseline · +8.3 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 | +2.4 | 404 |
| FH to the middle · serve +1 | +1.9 | 141 |
| BH to their backhand · return | +1.8 | 192 |
| FH to their forehand · serve +1 | +1.2 | 176 |
| FH to their backhand · serve +1 | +0.8 | 294 |
Most exposed to
| FH to their forehand · serve +1 | −3.3 | 199 |
| FH to the middle · return | −2.0 | 239 |
| Wide 1st serve · ad court | −0.9 | 343 |
| BH to their backhand · return +1 | −0.5 | 120 |
| FH to their backhand · serve +1 | −0.5 | 181 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Rafael Nadal +1.44, Miomir Kecmanovic +1.30, Casper Ruud +1.18, Pedro Martinez +1.10, Daniel Evans +1.04
Favourable matchups
Miomir Kecmanovic +1.36, Fabian Marozsan +1.31, Roberto Carballes Baena +1.28, Pedro Martinez +1.19, Roberto Bautista Agut +1.13
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.
| Forehand share | 60% | |
| Run-around forehands | 30% | |
| Through the middle | 28% | |
| 1st serve in | 63% | |
| Wide serves · ad | 53% | |
| Avg rally length | 4.1 | |
| Backhand slice | 23% | |
| Deep returns | 28% | |
| Points at net | 11% | |
| Wide serves · deuce | 43% | |
| FH down the line | 30% | |
| Drop shots / shot | 1.4% | |
| Chipped returns | 14% | |
| Unforced errors / shot | 9.3% | |
| Serve & volley | 2% | |
| Point-ending shots | 21.3% | |
| T serves · ad | 31% | |
| T serves · deuce | 37% | |
| BH down the line | 12% |
Plays most like
- Tommy Robredo 2003–2022 plan v
- Casper Ruud 2017–2026 plan v
- Ilya Ivashka 2018–2023 plan v
- Ben Shelton 2021–2026 plan v
- Daniel Elahi Galan 2020–2025 plan v
- Marcos Giron 2018–2026 plan v
- Stefanos Tsitsipas 2016–2026 plan v
- Guy Den Ouden 2024–2026 plan v
Closest from another era
- Magnus Norman 2000–2001
- Carlos Moya 1997–2007
- Nicolas Massu 2000–2009
Charted matches
- Radu Albot v Novak Djokovic L US Open R128 · Hard · 27 Aug 2024
- Radu Albot v Maxime Cressy L Newport R32 · Grass · 15 Jul 2024
- Hubert Hurkacz v Radu Albot Wimbledon R128 · Grass · 2 Jul 2024
- Radu Albot v Pedro Martinez W Madrid Q1 · Clay · 22 Apr 2024
- Joao Fonseca v Radu Albot L Bucharest R16 · Clay · 18 Apr 2024
- Radu Albot v Jiri Lehecka L Banja Luka R16 · Clay · 20 Apr 2023
- Radu Albot v Tim Van Rijthoven L Pune R32 · Hard · 3 Jan 2023
- Radu Albot v Denis Shapovalov L Seoul QF · Hard · 30 Sep 2022
- Radu Albot v Jason Kubler Roland Garros Q2 · Clay · 18 May 2022
- Jiri Lehecka v Radu Albot W Pau CH F · Hard · 21 Nov 2021
- Gael Monfils v Radu Albot L Paris Masters R16 · Hard · 1 Nov 2019
- Taylor Fritz v Radu Albot L Los Cabos SF · Hard · 2 Aug 2019