ATP · Right-handed · 87 charted matches · 2009–2023
John Isner
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 29,726 shots.
Shot expected value
The share of points John Isner 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 · 1,331 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 26% | 31.7%±4.0 | 43.7% |
| BH crosscourt | 22% | 33.3%±4.4 | 47.6% |
| BH down the line | 12% | 33.8%±5.7 | 46.4% |
| BH slice crosscourt | 11% | 26.5%±5.5 | 42.5% |
| FH inside-out | 10% | 35.9%±6.5 | 51.8% |
| BH slice through the middle | 8% | 16.4%±5.4 | 35.1% |
| FH inside-in | 4% | 46.3%±9.9 | 54.7% |
| BH slice down the line | 2% | 24.8%±10.0 | 37.1% |
Return +1: drive to your backhand side
position worth 44% to the average player · 963 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 29% | 28.5%±4.3 | 43.0% |
| BH crosscourt | 20% | 32.3%±5.3 | 46.9% |
| BH slice through the middle | 12% | 25.6%±6.2 | 32.6% |
| BH slice crosscourt | 12% | 30.9%±6.7 | 40.9% |
| BH down the line | 10% | 34.6%±7.3 | 44.2% |
| FH inside-out | 9% | 42.5%±7.8 | 51.7% |
| FH through the middle | 2% | 30.7%±11.7 | 44.4% |
| BH slice down the line | 2% | 27.3%±11.7 | 33.3% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 962 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 31% | 38.1%±4.5 | 51.5% |
| FH through the middle | 19% | 35.8%±5.6 | 47.0% |
| BH through the middle | 14% | 32.3%±6.2 | 46.8% |
| FH crosscourt | 14% | 44.4%±6.7 | 52.7% |
| BH crosscourt | 5% | 36.4%±9.4 | 49.1% |
| BH down the line | 4% | 31.1%±9.8 | 48.3% |
| FH down the line + approach | 4% | 65.0%±10.7 | 70.5% |
| FH crosscourt + approach | 2% | 72.0%±11.3 | 69.9% |
Return +1: drive to your middle
position worth 50% to the average player · 718 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 27% | 45.0%±5.6 | 51.8% |
| FH through the middle | 20% | 31.2%±6.0 | 46.5% |
| FH crosscourt | 15% | 42.6%±7.2 | 52.4% |
| BH through the middle | 15% | 44.2%±7.3 | 46.5% |
| FH down the line + approach | 7% | 64.2%±9.4 | 69.7% |
| BH crosscourt | 5% | 33.5%±10.7 | 48.7% |
| FH crosscourt + approach | 4% | 51.3%±11.9 | 68.0% |
| BH down the line | 4% | 37.6%±11.6 | 48.4% |
Serve under pressure
Pressure predictability index +8 How much less varied John Isner's first-serve direction gets on break points. Positive means easier to read. Based on 391 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 52% | 46% | 78% / 73% |
| Body | 9% | 7% | 61% / 63% |
| T | 39% | 48% ▲ | 78% / 75% |
4,084 normal · 90 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 46% | 58% ▲ | 80% / 73% |
| Body | 6% | 4% | 66% / 63% |
| T | 48% | 38% ▼ | 79% / 72% |
3,456 normal · 301 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 | 52% | 70.8%±1.6 n=2,156 | 65% ▲ |
| Body | 9% | 62.9%±4.0 n=371 | 0% ▼ |
| T | 39% | 70.0%±1.8 n=1,647 | 35% ▼ |
Off equilibrium (p = 0.003): serve wide more. Gap 1.0 points per 100 first serves.
Optimal mix: +1.0 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 47% | 72.6%±1.7 n=1,752 | 60% ▲ |
| Body | 6% | 62.6%±5.0 n=223 | 0% ▼ |
| T | 47% | 71.1%±1.8 n=1,782 | 40% ▼ |
Off equilibrium (p = 0.002): serve wide more. Gap 1.3 points per 100 first serves.
Optimal mix: +0.7 per 100 first serves.
Exploitability 0.82 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: +2.1±1.8 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. (3,607 repeats, 4,150 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 | 302 | 30% | −7.1±4.1 | |
| 1st | Ad court | T | 963 | 20% | −8.5±2.1 | |
| 1st | Ad court | Wide | 1,084 | 17% | −10.5±1.8 | |
| 1st | Deuce court | Body | 344 | 24% | −12.4±3.7 | |
| 1st | Deuce court | T | 1,231 | 16% | −9.6±1.7 | |
| 1st | Deuce court | Wide | 1,084 | 21% | −5.7±2.0 | |
| 2nd | Ad court | Body | 393 | 45% | −4.3±4.0 | |
| 2nd | Ad court | T | 300 | 41% | −8.7±4.4 | |
| 2nd | Ad court | Wide | 584 | 39% | −8.9±3.2 | |
| 2nd | Deuce court | Body | 612 | 43% | −6.2±3.2 | |
| 2nd | Deuce court | T | 572 | 41% | −8.5±3.3 | |
| 2nd | Deuce court | Wide | 223 | 37% | −11.5±5.0 |
Signature patterns
Recurring sequences that win more than John Isner's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (deuce court) → FH down the line used 2.6% · won 58% · −15.6±5.4 vs own baseline
- Body serve (deuce court) → FH down the line used 2.1% · won 48% · −25.7±6.0 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, mid used 3.3% · won 36% · +7.8±5.1 vs own baseline
- vs wide serve (deuce court) → FH through the middle, mid used 2.1% · won 36% · +7.9±6.3 vs own baseline
- vs wide serve (ad court) → BH through the middle, mid used 2.2% · won 33% · +5.3±6.0 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 2.1% · won 33% · +5.1±6.2 vs own baseline
- vs T serve (ad court) → FH through the middle used 2.7% · won 23% · −4.6±5.0 vs own baseline
Rally, consecutive own shots
- FH down the line → FH inside-out used 2.1% · won 40% · +6.6±7.8 vs own baseline
- BH crosscourt → FH down the line used 1.5% · won 41% · +7.6±8.8 vs own baseline
- FH down the line → FH crosscourt used 1.3% · won 41% · +7.4±9.2 vs own baseline
- FH inside-out → FH inside-out used 1.2% · won 39% · +6.1±9.5 vs own baseline
- FH down the line → FH down the line used 2.2% · won 38% · +4.3±7.7 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often John Isner wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Wide serve → FH through the middle return, mid → FH down the line used 0.3% · won 56% · +16.2±10.2 vs own baseline · +10.8 vs tour on the same sequence Disrupted by Juan Martin Del Potro (5/6)
- Wide serve → BH slice through the middle return → FH volley crosscourt used 0.2% · won 61% · +21.4±12.1 vs own baseline · +5.7 vs tour on the same sequence Disrupted by Stefanos Tsitsipas (6/6)
- FH down the line + approach → BH lob through the middle → Smash down the line used 0.1% · won 63% · +22.5±12.6 vs own baseline · +15.3 vs tour on the same sequence
- FH down the line + approach → BH through the middle → FH volley crosscourt used 0.2% · won 57% · +16.5±12.0 vs own baseline · +2.2 vs tour on the same sequence
- T serve → FH through the middle return, short → FH down the line + approach used 0.1% · won 59% · +18.5±12.7 vs own baseline · +16.9 vs tour on the same sequence
- Wide serve → BH through the middle return → FH volley crosscourt used 0.1% · won 58% · +17.5±12.9 vs own baseline · +13.4 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 volley to their forehand · serve +1 | +7.1 | 158 |
| T 1st serve · deuce court | +5.7 | 1,631 |
| T 1st serve · ad court | +5.3 | 1,767 |
| T 2nd serve · ad court | +5.3 | 218 |
| Wide 1st serve · ad court | +5.1 | 1,731 |
Most exposed to
| BH to their forehand · rally | −7.1 | 383 |
| BH to their forehand · serve +1 | −5.9 | 228 |
| FH to their forehand · serve +1 | −4.5 | 835 |
| FH to their forehand · return +1 | −4.0 | 260 |
| BH to their forehand · return +1 | −3.7 | 228 |
Active players who are best at the shot in the top weakness: Juncheng Shang, Pedro Martinez, Learner Tien, Miomir Kecmanovic, Nishesh Basavareddy
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Unforced errors / shot | 15.8% | |
| FH down the line | 40% | |
| 1st serve in | 70% | |
| Point-ending shots | 34.6% | |
| Run-around forehands | 35% | |
| Wide serves · deuce | 52% | |
| T serves · ad | 47% | |
| Forehand share | 60% | |
| Through the middle | 27% | |
| BH down the line | 24% | |
| Backhand slice | 28% | |
| Serve & volley | 16% | |
| Points at net | 13% | |
| Deep returns | 29% | |
| Drop shots / shot | 1.3% | |
| Wide serves · ad | 47% | |
| Chipped returns | 9% | |
| T serves · deuce | 39% | |
| Avg rally length | 2.9 |
Plays most like
- Reilly Opelka 2019–2025 plan v
- Giovanni Mpetshi Perricard 2024–2026 plan v
- Milos Raonic 2011–2024 plan v
- Jeremy Chardy 2013–2023 plan v
- Arthur Rinderknech 2021–2026 plan v
- Felix Auger Aliassime 2017–2026 plan v
- Nicolas Jarry 2019–2025 plan v
- Lukas Rosol 2012–2019 plan v
Closest from another era
- Mark Philippoussis 1995–2003
- Brad Gilbert 1987–1994
- Jim Courier 1989–1999
Charted matches
- John Isner v Michael Mmoh W US Open R64 · Hard · 31 Aug 2023
- John Isner v Facundo Diaz Acosta W US Open R128 · Hard · 29 Aug 2023
- John Isner v Gijs Brouwer L Houston R16 · Clay · 8 Apr 2023
- John Isner v Adrian Mannarino L Australian Open R128 · Hard · 17 Jan 2023
- Andrey Rublev v John Isner L Paris Masters R32 · Hard · 1 Nov 2022
- John Isner v Federico Delbonis W US Open R128 · Hard · 30 Aug 2022
- John Isner v Stefanos Tsitsipas L Cincinnati Masters QF · Hard · 19 Aug 2022
- John Isner v Hubert Hurkacz W Cincinnati Masters R32 · Hard · 17 Aug 2022
- Maxime Cressy v John Isner L Newport SF · Grass · 16 Jul 2022
- John Isner v Jannik Sinner Wimbledon R32 · Grass · 1 Jul 2022
- Andy Murray v John Isner Wimbledon R64 · Grass · 30 Jun 2022
- John Isner v Filip Krajinovic W Madrid Masters R64 · Clay · 1 May 2022