ATP · Left-handed · 11 charted matches · 2024–2026
Juncheng Shang
Archetype: Avoids the wide serve · Ad-court slider
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 4,900 shots.
Shot expected value
The share of points Juncheng Shang 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 forehand side
position worth 44% to the average player · 274 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 32% | 53.1%±7.9 | 46.6% |
| FH through the middle | 15% | 46.4%±10.5 | 41.5% |
| FH down the line | 14% | 44.0%±10.6 | 44.7% |
| BH inside-in | 13% | 54.2%±11.0 | 46.7% |
| BH through the middle | 13% | 42.9%±11.0 | 43.1% |
| BH inside-out | 6% | 58.6%±13.5 | 45.4% |
| FH slice through the middle | 4% | 25.5%±12.9 | 24.5% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 256 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 26% | 47.5%±8.8 | 51.5% |
| FH crosscourt | 24% | 54.3%±9.0 | 52.7% |
| FH through the middle | 19% | 53.5%±9.9 | 47.0% |
| BH through the middle | 13% | 48.8%±11.2 | 46.8% |
| BH crosscourt | 10% | 46.3%±12.2 | 49.1% |
| BH down the line | 8% | 54.1%±13.0 | 48.3% |
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 251 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 24% | 58.7%±9.0 | 47.6% |
| BH through the middle | 22% | 43.1%±9.3 | 43.7% |
| BH down the line | 16% | 45.5%±10.6 | 46.4% |
| FH inside-in | 14% | 51.7%±11.0 | 54.7% |
| FH inside-out | 10% | 54.2%±12.2 | 51.8% |
| FH through the middle | 7% | 52.7%±13.3 | 45.2% |
Long rally, 9+: drive to your backhand side
position worth 46% to the average player · 173 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 25% | 45.4%±10.3 | 48.0% |
| BH through the middle | 21% | 45.2%±10.8 | 43.8% |
| FH inside-in | 17% | 61.7%±11.3 | 54.3% |
| BH down the line | 17% | 53.7%±11.7 | 46.5% |
| FH through the middle | 10% | 57.3%±13.4 | 46.1% |
| FH inside-out | 10% | 55.5%±13.4 | 52.6% |
Serve under pressure
Pressure predictability index +3 How much less varied Juncheng Shang's first-serve direction gets on break points. Positive means easier to read. Based on 86 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 35% | 32% | 74% / 73% |
| Body | 13% | 21% ▲ | 60% / 63% |
| T | 52% | 47% | 67% / 75% |
445 normal · 19 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 54% | 61% | 65% / 73% |
| Body | 16% | 16% | 68% / 63% |
| T | 30% | 22% | 72% / 72% |
353 normal · 67 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 | 35% | 64.2%±5.7 n=161 | 48% ▲ |
| Body | 13% | 58.3%±8.5 n=62 | 0% ▼ |
| T | 52% | 59.6%±4.9 n=241 | 52% |
Consistent with an optimal mix (p = 0.43).
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 55% | 59.2%±5.0 n=231 | 55% |
| Body | 16% | 65.2%±7.9 n=69 | 3% ▼ |
| T | 29% | 62.8%±6.5 n=120 | 42% ▲ |
Consistent with an optimal mix (p = 0.41).
Optimal mix: +0.4 per 100 first serves.
Exploitability 0.53 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: −0.4±4.3 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. (312 repeats, 550 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 | 48 | 37% | +0.3±9.0 | |
| 1st | Ad court | T | 96 | 27% | −1.5±6.5 | |
| 1st | Ad court | Wide | 108 | 31% | +4.0±6.5 | |
| 1st | Deuce court | Body | 28 | 35% | −2.2±10.3 | |
| 1st | Deuce court | T | 134 | 22% | −2.8±5.3 | |
| 1st | Deuce court | Wide | 145 | 30% | +2.6±5.7 | |
| 2nd | Ad court | Body | 32 | 50% | +0.3±10.4 | |
| 2nd | Ad court | T | 68 | 51% | +1.5±8.3 | |
| 2nd | Ad court | Wide | 55 | 50% | +1.6±8.9 | |
| 2nd | Deuce court | Body | 35 | 50% | +1.3±10.2 | |
| 2nd | Deuce court | T | 23 | 56% | +6.7±11.2 | |
| 2nd | Deuce court | Wide | 81 | 48% | +0.1±7.8 |
Signature patterns
Recurring sequences that win more than Juncheng Shang's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (deuce court) → FH crosscourt used 3.9% · won 71% · +5.3±10.3 vs own baseline
- T serve (deuce court) → FH through the middle used 5.9% · won 63% · −3.3±9.8 vs own baseline
- T serve (deuce court) → FH down the line used 4.4% · won 62% · −3.9±10.7 vs own baseline
- Wide serve (ad court) → FH through the middle used 4.0% · won 61% · −5.3±10.9 vs own baseline
- Wide serve (ad court) → FH down the line used 7.9% · won 62% · −4.0±8.9 vs own baseline
Return
- vs wide serve (deuce court) → BH through the middle, deep used 5.7% · won 57% · +12.6±11.3 vs own baseline
- vs T serve (ad court) → BH through the middle, mid used 5.2% · won 54% · +9.0±11.6 vs own baseline
- vs wide serve (ad court) → FH through the middle, mid used 6.0% · won 53% · +7.8±11.2 vs own baseline
- vs T serve (deuce court) → FH through the middle, deep used 6.0% · won 53% · +7.8±11.2 vs own baseline
- vs wide serve (deuce court) → BH through the middle, mid used 5.0% · won 49% · +4.0±11.7 vs own baseline
Rally, consecutive own shots
- BH down the line → FH crosscourt used 4.5% · won 59% · +4.2±9.9 vs own baseline
- FH crosscourt → FH down the line used 5.2% · won 58% · +3.5±9.4 vs own baseline
- FH through the middle → FH through the middle used 2.7% · won 58% · +3.8±11.3 vs own baseline
- BH through the middle → FH crosscourt used 3.7% · won 56% · +1.8±10.4 vs own baseline
- FH through the middle → BH through the middle used 3.6% · won 56% · +1.0±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 Juncheng Shang wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH down the line → FH through the middle → FH crosscourt used 0.9% · won 58% · +6.0±12.1 vs own baseline · +10.0 vs tour on the same sequence
- FH crosscourt → BH through the middle → FH down the line used 1.1% · won 56% · +4.2±11.6 vs own baseline · +6.1 vs tour on the same sequence Disrupted by Roberto Carballes Baena (5/7)
- FH through the middle → FH down the line → BH inside-in used 0.7% · won 56% · +4.3±12.8 vs own baseline · +9.2 vs tour on the same sequence Disrupted by Tomas Machac (3/6), Roberto Carballes Baena (5/7)
- FH crosscourt → BH crosscourt → FH crosscourt used 1.2% · won 54% · +3.0±11.2 vs own baseline · +8.7 vs tour on the same sequence Disrupted by Nishesh Basavareddy (4/8), Frances Tiafoe (6/9)
- BH down the line → BH crosscourt → FH crosscourt used 1.0% · won 53% · +1.4±12.0 vs own baseline · +7.7 vs tour on the same sequence Disrupted by Frances Tiafoe (3/7), Mackenzie Mcdonald (3/6)
- FH crosscourt → BH through the middle → FH through the middle used 0.8% · won 51% · −0.6±12.6 vs own baseline · +3.0 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 · rally | +4.6 | 221 |
| BH to the middle · rally | +1.9 | 220 |
| FH to the middle · return | +1.6 | 185 |
| FH to their backhand · rally | +1.0 | 439 |
| BH to the middle · return | +0.7 | 183 |
Most exposed to
| BH to the middle · return | −3.7 | 219 |
| T 1st serve · deuce court | −2.3 | 203 |
| BH to the middle · rally | −2.2 | 159 |
| BH to their forehand · rally | −1.9 | 183 |
| FH to the middle · rally | −1.8 | 182 |
Active players who are best at the shot in the top weakness: Juan Carlos Prado Angelo, Cameron Norrie, Daniil Medvedev, Dusan Lajovic, Ugo Humbert
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Run-around forehands | 41% | |
| Forehand share | 61% | |
| T serves · deuce | 52% | |
| Deep returns | 34% | |
| Avg rally length | 4.6 | |
| Through the middle | 28% | |
| Wide serves · ad | 55% | |
| Drop shots / shot | 2.1% | |
| 1st serve in | 62% | |
| Point-ending shots | 22.9% | |
| BH down the line | 18% | |
| Serve & volley | 1% | |
| Unforced errors / shot | 9.0% | |
| Chipped returns | 8% | |
| Points at net | 7% | |
| Backhand slice | 10% | |
| FH down the line | 25% | |
| Wide serves · deuce | 35% | |
| T serves · ad | 29% |
Plays most like
- Daniel Elahi Galan 2020–2025 plan v
- Pablo Cuevas 2015–2021 plan v
- Thiago Monteiro 2019–2026 plan v
- Cristian Garin 2018–2025 plan v
- Luciano Darderi 2022–2026 plan v
- Cameron Norrie 2015–2026 plan v
- Nicolas Massu 2000–2009 plan v
- Federico Delbonis 2013–2023 plan v
Closest from another era
- Nicolas Massu 2000–2009
- Juan Carlos Ferrero 2000–2009
- Gaston Gaudio 2002–2005
Charted matches
- Daniil Medvedev v Juncheng Shang L Dubai R32 · Hard · 24 Feb 2026
- Nishesh Basavareddy v Juncheng Shang L NextGen Finals RR · Hard · 19 Dec 2024
- Juncheng Shang v Luca Van Assche L NextGen Finals RR · Hard · 18 Dec 2024
- Juncheng Shang v Carlos Alcaraz L Shanghai Masters R64 · Hard · 5 Oct 2024
- Ben Shelton v Juncheng Shang W Atlanta R16 · Hard · 25 Jul 2024
- Juncheng Shang v Daniel Evans W Bordeaux CH QF · Clay · 17 May 2024
- Juncheng Shang v Roberto Carballes Baena L Bordeaux CH R16 · Clay · 16 May 2024
- Corentin Moutet v Juncheng Shang W Madrid Masters R128 · Clay · 24 Apr 2024
- Juncheng Shang v Tomas Machac L Barcelona R64 · Clay · 16 Apr 2024
- Juncheng Shang v Mackenzie Mcdonald W Australian Open R128 · Hard · 16 Jan 2024
- Frances Tiafoe v Juncheng Shang W Hong Kong QF · Hard · 5 Jan 2024