ATP · Right-handed · 9 charted matches · 2024–2025
Karue Sell
Archetype: Grinder · Ad-court T server
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 3,156 shots.
Shot expected value
The share of points Karue Sell 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 · 207 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 50% | 55.3%±7.3 | 47.6% |
| BH through the middle | 22% | 42.7%±10.1 | 43.7% |
| BH down the line | 14% | 49.5%±11.7 | 46.4% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 169 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 31% | 50.1%±9.6 | 52.7% |
| FH down the line | 26% | 64.5%±9.8 | 51.5% |
| BH crosscourt | 11% | 53.4%±13.1 | 49.1% |
| FH through the middle | 11% | 51.1%±13.3 | 47.0% |
| BH through the middle | 8% | 46.6%±14.3 | 46.8% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 163 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 44% | 44.3%±8.6 | 46.6% |
| FH through the middle | 29% | 40.1%±9.8 | 41.5% |
| FH down the line | 18% | 33.9%±11.0 | 44.7% |
Long rally, 9+: drive to your backhand side
position worth 46% to the average player · 122 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 52% | 53.1%±9.0 | 48.0% |
| BH through the middle | 30% | 43.5%±10.8 | 43.8% |
| BH down the line | 11% | 45.0%±14.0 | 46.5% |
Serve under pressure
Pressure predictability index +14 How much less varied Karue Sell's first-serve direction gets on break points. Positive means easier to read. Based on 45 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 58% | 56% | 69% / 73% |
| Body | 11% | 6% | 62% / 63% |
| T | 32% | 38% | 79% / 75% |
263 normal · 16 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 41% | 62% ▲ | 74% / 73% |
| Body | 18% | 7% ▼ | 63% / 63% |
| T | 42% | 31% ▼ | 68% / 72% |
216 normal · 29 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 | 58% | 61.6%±5.8 n=161 | 55% ▼ |
| Body | 10% | 60.8%±10.5 n=29 | 0% ▼ |
| T | 32% | 68.8%±7.0 n=89 | 45% ▲ |
Consistent with an optimal mix (p = 0.23).
Optimal mix: +0.8 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 43% | 60.2%±6.9 n=106 | 44% |
| Body | 16% | 65.1%±9.4 n=40 | 3% ▼ |
| T | 40% | 62.4%±7.0 n=99 | 53% ▲ |
Consistent with an optimal mix (p = 0.67).
Optimal mix: +0.4 per 100 first serves.
Exploitability 0.62 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: −3.0±8.8 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. (163 repeats, 343 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 | 22 | 35% | −2.2±10.9 | |
| 1st | Ad court | T | 68 | 38% | +10.1±8.1 | |
| 1st | Ad court | Wide | 62 | 35% | +7.7±8.2 | |
| 1st | Deuce court | Body | 48 | 44% | +6.9±9.2 | |
| 1st | Deuce court | T | 45 | 23% | −1.7±8.0 | |
| 1st | Deuce court | Wide | 84 | 28% | +1.0±6.9 | |
| 2nd | Ad court | Body | 47 | 52% | +2.3±9.4 | |
| 2nd | Ad court | T | 5 | 54% | +4.4±13.9 | |
| 2nd | Ad court | Wide | 56 | 49% | +1.1±8.9 | |
| 2nd | Deuce court | Body | 68 | 53% | +3.7±8.3 | |
| 2nd | Deuce court | T | 31 | 46% | −3.9±10.5 | |
| 2nd | Deuce court | Wide | 13 | 52% | +4.1±12.5 |
Signature patterns
Recurring sequences that win more than Karue Sell's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → BH crosscourt used 7.1% · won 63% · −5.1±11.3 vs own baseline
Return
- Not enough data
Rally, consecutive own shots
- FH crosscourt → BH crosscourt used 5.8% · won 59% · +6.0±10.1 vs own baseline
- FH down the line → BH crosscourt used 4.8% · won 59% · +5.2±10.7 vs own baseline
- FH down the line → FH crosscourt used 4.2% · won 58% · +4.8±11.0 vs own baseline
- BH crosscourt → BH down the line used 3.4% · won 58% · +4.6±11.6 vs own baseline
- BH crosscourt → FH crosscourt used 6.1% · won 56% · +2.6±10.0 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Karue Sell wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- BH crosscourt → BH crosscourt → BH crosscourt used 2.6% · won 58% · +7.0±9.6 vs own baseline · +13.8 vs tour on the same sequence Disrupted by Jesper De Jong (0/6), Camilo Ugo Carabelli (6/10)
- FH crosscourt → FH down the line → BH crosscourt used 1.2% · won 61% · +9.2±11.9 vs own baseline · +22.6 vs tour on the same sequence
- FH down the line → BH crosscourt → BH crosscourt used 1.2% · won 56% · +4.8±12.0 vs own baseline · +13.0 vs tour on the same sequence Disrupted by Camilo Ugo Carabelli (4/7)
- FH crosscourt → FH crosscourt → FH crosscourt used 2.3% · won 54% · +2.2±10.1 vs own baseline · +6.2 vs tour on the same sequence Disrupted by Nishesh Basavareddy (1/9), Evan Zhu (7/13)
- FH down the line → BH through the middle → FH crosscourt used 1.1% · won 54% · +2.8±12.4 vs own baseline · +3.3 vs tour on the same sequence
- BH through the middle → FH down the line → BH crosscourt used 1.0% · won 53% · +1.8±12.5 vs own baseline · +8.9 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 forehand · rally | +0.3 | 251 |
| BH to their backhand · rally | ±0.0 | 244 |
| FH to their backhand · rally | −1.2 | 251 |
| Wide 1st serve · deuce court | −2.0 | 161 |
Most exposed to
| BH to their backhand · rally | −1.6 | 193 |
| FH to their backhand · rally | −0.5 | 180 |
| BH to the middle · return | −0.4 | 121 |
| BH to the middle · rally | −0.1 | 150 |
| FH to their forehand · rally | +0.2 | 247 |
Active players who are best at the shot in the top weakness: Richard Gasquet, Nishesh Basavareddy, Arthur Cazaux, Jaume Munar, Daniel Evans
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Wide serves · deuce | 58% | |
| Avg rally length | 4.7 | |
| Deep returns | 31% | |
| Forehand share | 56% | |
| FH down the line | 33% | |
| Points at net | 14% | |
| T serves · ad | 40% | |
| Drop shots / shot | 1.3% | |
| Serve & volley | 4% | |
| BH down the line | 19% | |
| Point-ending shots | 21.5% | |
| Run-around forehands | 14% | |
| Unforced errors / shot | 8.2% | |
| Backhand slice | 10% | |
| 1st serve in | 58% | |
| Chipped returns | 6% | |
| Wide serves · ad | 43% | |
| Through the middle | 20% | |
| T serves · deuce | 32% |
Plays most like
- Nishesh Basavareddy 2024–2025 plan v
- Tommy Paul 2016–2026 plan v
- Magnus Norman 2000–2001 plan v
- Jaume Munar 2018–2026 plan v
- Roman Safiullin 2017–2025 plan v
- Tomas Berdych 2005–2019 plan v
- Arnaud Clement 1999–2006 plan v
- Frances Tiafoe 2016–2026 plan v
Closest from another era
- Magnus Norman 2000–2001
- Arnaud Clement 1999–2006
- Thomas Johansson 1996–2005
Charted matches
- Karue Sell v Robin Bertrand W Oeiras 1 CH R32 · Hard · 6 Jan 2025
- Mateus Alves v Karue Sell L Curitiba CH R16 · Clay · 24 Oct 2024
- Karue Sell v Henrique Rocha W Curitiba CH R32 · Clay · 21 Oct 2024
- Camilo Ugo Carabelli v Karue Sell L Campinas CH R16 · Clay · 17 Oct 2024
- Daniel Dutra Da Silva v Karue Sell W Campinas CH R32 · Clay · 15 Oct 2024
- Nishesh Basavareddy v Karue Sell L Tiburon CH QF · Hard · 4 Oct 2024
- Jesper De Jong v Karue Sell L Antofagasta CH R16 · Clay · 25 Sep 2024
- Juan Pablo Ficovich v Karue Sell W Bogota CH QF · Clay · 9 Aug 2024
- Karue Sell v Evan Zhu W Acapulco CH Q1 · Hard · 14 Apr 2024