ATP · Right-handed · 28 charted matches · 2011–2018
Alexandr Dolgopolov
Archetype: Blocks returns short · Works the corners
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 9,760 shots.
Shot expected value
The share of points Alexandr Dolgopolov 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 · 638 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 43% | 40.2%±4.7 | 47.6% |
| BH through the middle | 23% | 37.3%±6.1 | 43.7% |
| BH slice crosscourt | 9% | 46.1%±9.3 | 42.5% |
| BH down the line | 8% | 48.2%±9.9 | 46.4% |
| BH slice through the middle | 6% | 36.1%±10.1 | 35.1% |
| FH inside-out | 3% | 45.9%±13.0 | 51.8% |
| BH drop shot down the line | 3% | 49.8%±13.5 | 47.2% |
| BH slice down the line | 3% | 42.8%±13.6 | 37.1% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 439 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 45% | 46.4%±5.6 | 46.6% |
| FH down the line | 25% | 37.7%±7.0 | 44.7% |
| FH through the middle | 15% | 40.1%±8.9 | 41.5% |
| FH slice through the middle | 5% | 24.8%±11.2 | 24.5% |
| FH slice crosscourt | 4% | 32.1%±12.5 | 30.9% |
| FH down the line + approach | 3% | 73.1%±12.5 | 69.3% |
| FH slice down the line | 3% | 18.6%±11.1 | 25.6% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 369 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 25% | 42.4%±7.7 | 52.7% |
| FH down the line | 24% | 45.6%±7.9 | 51.5% |
| BH crosscourt | 16% | 39.5%±9.1 | 49.1% |
| FH through the middle | 11% | 39.0%±10.4 | 47.0% |
| BH through the middle | 11% | 47.3%±10.6 | 46.8% |
| BH down the line | 6% | 48.0%±12.5 | 48.3% |
| FH down the line + approach | 3% | 67.0%±14.1 | 70.5% |
Long rally, 9+: drive to your backhand side
position worth 46% to the average player · 333 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 53% | 39.8%±5.8 | 48.0% |
| BH through the middle | 21% | 36.4%±8.3 | 43.8% |
| BH slice crosscourt | 9% | 36.9%±11.2 | 42.1% |
| BH down the line | 8% | 59.3%±11.9 | 46.5% |
| BH slice through the middle | 4% | 29.5%±12.9 | 35.1% |
Serve under pressure
Pressure predictability index +3 How much less varied Alexandr Dolgopolov's first-serve direction gets on break points. Positive means easier to read. Based on 181 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 65% | 70% | 73% / 73% |
| Body | 7% | 8% | 63% / 63% |
| T | 28% | 23% | 80% / 75% |
1,046 normal · 40 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 57% | 60% | 70% / 73% |
| Body | 7% | 7% | 62% / 63% |
| T | 35% | 33% | 74% / 72% |
853 normal · 141 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 | 65% | 62.7%±2.9 n=704 | 59% ▼ |
| Body | 7% | 58.6%±7.8 n=79 | 0% ▼ |
| T | 28% | 63.5%±4.3 n=303 | 41% ▲ |
Consistent with an optimal mix (p = 0.52).
Optimal mix: +0.5 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 58% | 59.3%±3.3 n=573 | 52% ▼ |
| Body | 7% | 56.7%±8.0 n=73 | 0% ▼ |
| T | 35% | 65.6%±4.0 n=348 | 48% ▲ |
Off equilibrium (p = 0.048): serve T more. Gap 4.3 points per 100 first serves.
Optimal mix: +0.7 per 100 first serves.
Exploitability 0.59 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: +1.3±4.6 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. (1,041 repeats, 983 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 | 83 | 40% | +2.9±7.6 | |
| 1st | Ad court | T | 256 | 24% | −4.1±4.1 | |
| 1st | Ad court | Wide | 257 | 26% | −1.0±4.3 | |
| 1st | Deuce court | Body | 106 | 32% | −5.1±6.6 | |
| 1st | Deuce court | T | 247 | 28% | +2.9±4.4 | |
| 1st | Deuce court | Wide | 328 | 25% | −2.0±3.8 | |
| 2nd | Ad court | Body | 163 | 47% | −2.8±5.9 | |
| 2nd | Ad court | T | 67 | 48% | −1.0±8.3 | |
| 2nd | Ad court | Wide | 116 | 47% | −1.4±6.8 | |
| 2nd | Deuce court | Body | 181 | 44% | −4.6±5.6 | |
| 2nd | Deuce court | T | 117 | 51% | +1.3±6.8 | |
| 2nd | Deuce court | Wide | 74 | 55% | +7.1±8.0 |
Signature patterns
Recurring sequences that win more than Alexandr Dolgopolov's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Body serve (deuce court) → BH crosscourt used 2.3% · won 65% · −1.3±9.4 vs own baseline
- Wide serve (ad court) → FH crosscourt used 3.1% · won 59% · −6.9±8.7 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 3.0% · won 58% · −7.9±8.9 vs own baseline
- Wide serve (ad court) → BH through the middle used 3.4% · won 56% · −10.3±8.6 vs own baseline
- Wide serve (deuce court) → BH through the middle used 2.8% · won 54% · −12.0±9.1 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, mid used 4.4% · won 48% · +12.0±9.3 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 4.5% · won 47% · +11.4±9.2 vs own baseline
- vs T serve (deuce court) → BH crosscourt, mid used 2.1% · won 47% · +11.8±11.4 vs own baseline
- vs wide serve (ad court) → BH crosscourt, deep used 2.4% · won 47% · +11.1±11.1 vs own baseline
- vs wide serve (deuce court) → FH slice through the middle, deep used 2.2% · won 45% · +9.1±11.2 vs own baseline
Rally, consecutive own shots
- BH slice crosscourt → FH crosscourt used 1.7% · won 54% · +11.5±10.9 vs own baseline
- BH crosscourt → FH crosscourt used 6.4% · won 46% · +3.9±6.9 vs own baseline
- BH crosscourt → BH down the line used 1.7% · won 50% · +7.1±10.8 vs own baseline
- BH crosscourt → FH down the line used 2.5% · won 48% · +5.7±9.8 vs own baseline
- BH crosscourt → BH slice down the line used 1.2% · won 49% · +7.0±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 Alexandr Dolgopolov wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Wide serve → BH crosscourt return, deep → BH through the middle used 0.3% · won 53% · +8.2±13.0 vs own baseline · +26.3 vs tour on the same sequence
- BH crosscourt → BH crosscourt → BH down the line used 0.4% · won 52% · +6.8±12.5 vs own baseline · +13.5 vs tour on the same sequence
- BH crosscourt → BH through the middle → FH crosscourt used 0.8% · won 49% · +3.9±10.4 vs own baseline · −1.8 vs tour on the same sequence Disrupted by David Ferrer (3/8), Novak Djokovic (5/12)
- FH down the line → BH slice crosscourt → FH inside-out used 0.4% · won 48% · +3.3±12.4 vs own baseline · −2.2 vs tour on the same sequence
- Wide serve → BH crosscourt return, mid → BH through the middle used 0.4% · won 48% · +3.3±12.7 vs own baseline · +8.0 vs tour on the same sequence
- BH through the middle → FH through the middle → FH down the line used 0.4% · won 48% · +3.3±12.7 vs own baseline · +3.8 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 their backhand · return +1 | +4.2 | 136 |
| BH to their forehand · rally | +3.2 | 176 |
| BH slice to their backhand · rally | +1.9 | 120 |
| FH slice to the middle · return | +1.2 | 179 |
| Wide 2nd serve · ad court | +0.7 | 275 |
Most exposed to
| Wide 1st serve · deuce court | −1.8 | 449 |
| BH to their backhand · rally | −1.5 | 469 |
| FH to the middle · return | −1.0 | 332 |
| FH to the middle · rally | −0.8 | 260 |
| T 1st serve · ad court | −0.8 | 369 |
Active players who are best at the shot in the top weakness: Giovanni Mpetshi Perricard, Reilly Opelka, Nick Kyrgios, Quentin Halys, Nicolas Jarry
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Wide serves · deuce | 65% | |
| FH down the line | 36% | |
| Wide serves · ad | 58% | |
| Chipped returns | 26% | |
| Unforced errors / shot | 11.7% | |
| Deep returns | 32% | |
| Point-ending shots | 26.7% | |
| Drop shots / shot | 1.9% | |
| Backhand slice | 16% | |
| Serve & volley | 1% | |
| Avg rally length | 3.7 | |
| Forehand share | 51% | |
| Run-around forehands | 14% | |
| T serves · ad | 35% | |
| Points at net | 8% | |
| BH down the line | 16% | |
| Through the middle | 21% | |
| 1st serve in | 54% | |
| T serves · deuce | 28% |
Plays most like
- Arthur Fils 2023–2026 plan v
- Thomas Johansson 1996–2005 plan v
- Gregoire Barrere 2016–2024 plan v
- Roman Safiullin 2017–2025 plan v
- Paul Henri Mathieu 2002–2016 plan v
- Alexander Shevchenko 2023–2026 plan v
- Nikoloz Basilashvili 2017–2025 plan v
- Karue Sell 2024–2025 plan v
Closest from another era
- Yevgeny Kafelnikov 1994–2002
- Andre Agassi 1988–2006
- Jonas Svensson 1987–1991
Charted matches
- Alexandr Dolgopolov v Novak Djokovic L Rome Masters R64 · Clay · 14 May 2018
- Alexandr Dolgopolov v Roger Federer L Shanghai Masters R16 · Hard · 12 Oct 2017
- Alexandr Dolgopolov v Nick Kyrgios L Cincinnati Masters R32 · Hard · 16 Aug 2017
- Alexandr Dolgopolov v David Ferrer L Bastad F · Clay · 24 Jul 2017
- Alexandr Dolgopolov v Kei Nishikori W Buenos Aires F · Clay · 19 Feb 2017
- Inigo Cervantes Huegun v Alexandr Dolgopolov W Rio de Janeiro R16 · Clay · 18 Feb 2016
- Roger Federer v Alexandr Dolgopolov L Australian Open R64 · Hard · 20 Jan 2016
- Jack Sock v Alexandr Dolgopolov W Hopman Cup RR · Hard · 4 Jan 2016
- Novak Djokovic v Alexandr Dolgopolov L Cincinnati SF · Hard · 22 Aug 2015
- Alexandr Dolgopolov v Ivo Karlovic W Washington R32 · Hard · 6 Aug 2015
- Sam Querrey v Alexandr Dolgopolov L Nottingham SF · Grass · 26 Jun 2015
- Borna Coric v Alexandr Dolgopolov W Monte Carlo Masters R64 · Clay · 13 Apr 2015