ATP · Right-handed · 30 charted matches · 2020–2023
Aslan Karatsev
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 11,736 shots.
Shot expected value
The share of points Aslan Karatsev 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 · 699 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 24% | 51.4%±6.0 | 52.7% |
| BH through the middle | 19% | 52.8%±6.6 | 46.8% |
| BH crosscourt | 15% | 52.3%±7.4 | 49.1% |
| FH through the middle | 14% | 39.2%±7.3 | 47.0% |
| FH down the line | 13% | 53.8%±7.7 | 51.5% |
| BH down the line | 8% | 42.8%±9.5 | 48.3% |
| BH crosscourt + approach | 2% | 75.9%±12.6 | 67.7% |
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 535 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 44% | 48.1%±5.1 | 47.6% |
| BH through the middle | 22% | 48.4%±7.0 | 43.7% |
| BH down the line | 15% | 46.3%±8.1 | 46.4% |
| BH slice crosscourt | 5% | 44.8%±11.8 | 42.5% |
| FH inside-out | 5% | 57.3%±12.0 | 51.8% |
| BH slice through the middle | 3% | 36.9%±12.9 | 35.1% |
| FH inside-in | 2% | 60.4%±14.0 | 54.7% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 396 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 47% | 44.5%±5.7 | 46.6% |
| FH through the middle | 23% | 37.8%±7.5 | 41.5% |
| FH down the line | 20% | 38.7%±8.1 | 44.7% |
| FH slice through the middle | 6% | 23.6%±10.8 | 24.5% |
| FH down the line + approach | 3% | 77.0%±12.4 | 69.3% |
Serve +1: drive to your middle
position worth 52% to the average player · 352 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH through the middle | 27% | 44.0%±7.6 | 45.8% |
| BH through the middle | 18% | 36.9%±8.7 | 43.3% |
| FH crosscourt | 18% | 45.3%±9.0 | 58.2% |
| BH crosscourt | 15% | 45.1%±9.5 | 51.8% |
| FH down the line | 13% | 55.7%±10.1 | 56.1% |
| BH down the line | 4% | 46.3%±14.3 | 51.3% |
Serve under pressure
Pressure predictability index −5 How much less varied Aslan Karatsev's first-serve direction gets on break points. Positive means easier to read. Based on 231 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 47% | 39% ▼ | 72% / 73% |
| Body | 12% | 9% | 60% / 63% |
| T | 41% | 52% ▲ | 69% / 75% |
1,215 normal · 54 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 55% | 45% ▼ | 74% / 73% |
| Body | 13% | 19% | 60% / 63% |
| T | 32% | 36% | 77% / 72% |
971 normal · 177 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 | 47% | 60.0%±3.2 n=591 | 45% ▼ |
| Body | 12% | 55.0%±6.1 n=151 | 0% ▼ |
| T | 42% | 62.7%±3.4 n=527 | 55% ▲ |
Consistent with an optimal mix (p = 0.12).
Optimal mix: +0.6 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 54% | 66.2%±3.1 n=616 | 67% ▲ |
| Body | 14% | 58.6%±5.9 n=160 | 1% ▼ |
| T | 32% | 63.4%±4.0 n=372 | 32% |
Consistent with an optimal mix (p = 0.10).
Optimal mix: +1.0 per 100 first serves.
Exploitability 0.77 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: +0.1±3.0 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. (880 repeats, 1,477 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 | 117 | 39% | +1.8±6.6 | |
| 1st | Ad court | T | 301 | 28% | −0.4±4.0 | |
| 1st | Ad court | Wide | 317 | 24% | −3.0±3.8 | |
| 1st | Deuce court | Body | 135 | 39% | +2.1±6.2 | |
| 1st | Deuce court | T | 333 | 26% | +1.2±3.8 | |
| 1st | Deuce court | Wide | 296 | 29% | +1.4±4.1 | |
| 2nd | Ad court | Body | 156 | 46% | −3.2±6.0 | |
| 2nd | Ad court | T | 76 | 55% | +6.2±7.9 | |
| 2nd | Ad court | Wide | 182 | 44% | −4.3±5.6 | |
| 2nd | Deuce court | Body | 205 | 51% | +1.9±5.4 | |
| 2nd | Deuce court | T | 220 | 47% | −2.5±5.2 | |
| 2nd | Deuce court | Wide | 73 | 43% | −4.9±8.0 |
Signature patterns
Recurring sequences that win more than Aslan Karatsev's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Body serve (deuce court) → FH down the line used 3.1% · won 66% · ±0.0±8.0 vs own baseline
- T serve (ad court) → FH crosscourt used 2.1% · won 65% · −0.3±9.1 vs own baseline
- Wide serve (deuce court) → FH down the line used 2.0% · won 61% · −4.9±9.4 vs own baseline
- Wide serve (ad court) → FH crosscourt used 3.3% · won 60% · −5.7±8.1 vs own baseline
- T serve (deuce court) → FH crosscourt used 2.7% · won 58% · −7.4±8.6 vs own baseline
Return
- vs body serve (deuce court) → BH through the middle, deep used 2.1% · won 51% · +10.4±10.3 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 2.8% · won 48% · +6.8±9.5 vs own baseline
- vs T serve (ad court) → FH through the middle used 5.0% · won 46% · +4.8±7.8 vs own baseline
- vs T serve (ad court) → FH through the middle, deep used 2.0% · won 47% · +6.3±10.4 vs own baseline
- vs body serve (deuce court) → BH through the middle, mid used 2.2% · won 46% · +4.9±10.2 vs own baseline
Rally, consecutive own shots
- BH through the middle → BH through the middle used 3.7% · won 56% · +8.6±8.0 vs own baseline
- BH crosscourt → FH crosscourt used 4.5% · won 54% · +7.4±7.5 vs own baseline
- BH down the line → BH crosscourt used 1.4% · won 56% · +9.3±10.8 vs own baseline
- FH down the line → FH crosscourt used 1.5% · won 55% · +8.4±10.7 vs own baseline
- BH crosscourt → FH inside-out used 1.6% · won 54% · +7.3±10.5 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Aslan Karatsev wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- BH crosscourt → BH through the middle → FH crosscourt used 0.8% · won 57% · +7.7±9.8 vs own baseline · +8.2 vs tour on the same sequence Disrupted by Camilo Ugo Carabelli (5/9), Jaume Munar (5/7)
- BH crosscourt → BH crosscourt → FH inside-out used 0.3% · won 60% · +11.0±12.4 vs own baseline · +25.7 vs tour on the same sequence Disrupted by Camilo Ugo Carabelli (7/8)
- BH through the middle → BH through the middle → BH through the middle used 0.4% · won 58% · +8.9±11.8 vs own baseline · +21.4 vs tour on the same sequence
- BH crosscourt → BH crosscourt → BH crosscourt used 1.3% · won 54% · +4.7±8.3 vs own baseline · +7.2 vs tour on the same sequence Disrupted by Jaume Munar (1/7), Grigor Dimitrov (4/9)
- FH crosscourt → FH through the middle → FH down the line used 0.5% · won 56% · +6.9±11.1 vs own baseline · +9.1 vs tour on the same sequence Disrupted by Jaume Munar (4/6)
- BH crosscourt → BH crosscourt → BH down the line used 1.1% · won 54% · +4.7±8.9 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
| BH to their forehand · serve +1 | +1.8 | 126 |
| BH to their backhand · return | +1.7 | 296 |
| FH to their forehand · return | +1.0 | 167 |
| FH to the middle · return | −0.1 | 390 |
| Body 1st serve · ad court | −0.3 | 160 |
Most exposed to
| T 2nd serve · deuce court | −2.4 | 220 |
| FH to their forehand · serve +1 | −1.8 | 263 |
| Wide 1st serve · ad court | −1.6 | 530 |
| Wide 2nd serve · ad court | −1.1 | 182 |
| BH to their backhand · serve +1 | −0.8 | 165 |
Active players who are best at the shot in the top weakness: Giovanni Mpetshi Perricard, Reilly Opelka, Joao Fonseca, Brandon Nakashima, Matteo Berrettini
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Unforced errors / shot | 14.8% | |
| Deep returns | 38% | |
| Point-ending shots | 31.0% | |
| Wide serves · ad | 54% | |
| Wide serves · deuce | 47% | |
| Run-around forehands | 23% | |
| Through the middle | 26% | |
| Forehand share | 53% | |
| Points at net | 11% | |
| BH down the line | 19% | |
| Serve & volley | 1% | |
| Drop shots / shot | 1.0% | |
| Avg rally length | 3.7 | |
| Chipped returns | 10% | |
| T serves · deuce | 42% | |
| 1st serve in | 58% | |
| FH down the line | 27% | |
| Backhand slice | 9% | |
| T serves · ad | 32% |
Plays most like
- Roman Safiullin 2017–2025 plan v
- Jan Lennard Struff 2014–2025 plan v
- Lloyd Harris 2019–2024 plan v
- Marin Cilic 2009–2026 plan v
- Arthur Fils 2023–2026 plan v
- Nikoloz Basilashvili 2017–2025 plan v
- Sam Querrey 2010–2022 plan v
- Jiri Lehecka 2019–2026 plan v
Closest from another era
- James Blake 2002–2011
- Magnus Norman 2000–2001
- Marcelo Rios 1995–2001
Charted matches
- Jiri Lehecka v Aslan Karatsev W US Open R128 · Hard · 28 Aug 2023
- Aslan Karatsev v Daniil Medvedev W Madrid Masters R16 · Clay · 2 May 2023
- Aslan Karatsev v Grigor Dimitrov L Rotterdam R32 · Hard · 13 Feb 2023
- Grigor Dimitrov v Aslan Karatsev L Australian Open R128 · Hard · 17 Jan 2023
- Aslan Karatsev v Tallon Griekspoor L Pune SF · Hard · 6 Jan 2023
- Yoshihito Nishioka v Aslan Karatsev L Paris Masters R64 · Hard · 31 Oct 2022
- Alexander Bublik v Aslan Karatsev L Basel R32 · Hard · 24 Oct 2022
- Tomas Martin Etcheverry v Aslan Karatsev L Tel Aviv R32 · Hard · 27 Sep 2022
- Maxime Cressy v Aslan Karatsev L Canada Masters R64 · Hard · 9 Aug 2022
- Aslan Karatsev v Nikoloz Basilashvili W Hamburg R32 · Clay · 19 Jul 2022
- Aslan Karatsev v Camilo Ugo Carabelli L Roland Garros R128 · Clay · 22 May 2022
- Novak Djokovic v Aslan Karatsev L Rome Masters R32 · Clay · 11 May 2022