ATP · Right-handed · 16 charted matches · 2019–2026
Thiago Seyboth Wild
Archetype: Rallies through the middle · Crosscourt 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 7,652 shots.
Shot expected value
The share of points Thiago Seyboth Wild 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 · 533 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 32% | 39.3%±5.9 | 47.6% |
| BH through the middle | 25% | 36.9%±6.5 | 43.7% |
| BH down the line | 14% | 47.0%±8.6 | 46.4% |
| FH inside-out | 10% | 49.8%±9.6 | 51.8% |
| FH inside-in | 6% | 59.5%±11.2 | 54.7% |
| BH slice crosscourt | 6% | 31.0%±10.8 | 42.5% |
| FH through the middle | 2% | 47.0%±14.5 | 45.2% |
| BH slice through the middle | 2% | 40.7%±14.3 | 35.1% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 348 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 31% | 50.8%±7.3 | 52.7% |
| FH down the line | 30% | 51.4%±7.4 | 51.5% |
| FH through the middle | 14% | 38.8%±9.7 | 47.0% |
| BH through the middle | 9% | 38.4%±11.0 | 46.8% |
| BH crosscourt | 6% | 56.7%±12.6 | 49.1% |
| BH down the line | 4% | 47.4%±14.3 | 48.3% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 335 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 30% | 46.5%±7.5 | 46.6% |
| FH down the line | 29% | 41.3%±7.5 | 44.7% |
| FH through the middle | 27% | 36.6%±7.6 | 41.5% |
| FH slice through the middle | 8% | 22.0%±10.2 | 24.5% |
| FH slice down the line | 3% | 19.8%±11.8 | 25.6% |
Return +1: drive to your backhand side
position worth 44% to the average player · 271 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 34% | 46.3%±7.8 | 46.9% |
| BH through the middle | 33% | 41.5%±7.7 | 43.0% |
| BH down the line | 16% | 44.2%±10.3 | 44.2% |
| BH slice crosscourt | 6% | 40.5%±13.6 | 40.9% |
| FH inside-out | 6% | 49.5%±13.9 | 51.7% |
| BH slice through the middle | 4% | 31.7%±14.0 | 32.6% |
Serve under pressure
Pressure predictability index +17 How much less varied Thiago Seyboth Wild's first-serve direction gets on break points. Positive means easier to read. Based on 159 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 49% | 55% | 68% / 73% |
| Body | 6% | 0% | 62% / 63% |
| T | 45% | 45% | 71% / 75% |
775 normal · 40 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 58% | 64% | 69% / 73% |
| Body | 6% | 2% | 68% / 63% |
| T | 37% | 34% | 70% / 72% |
616 normal · 119 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 | 49% | 62.5%±3.8 n=400 | 62% ▲ |
| Body | 6% | 58.9%±9.2 n=48 | 0% ▼ |
| T | 45% | 60.6%±4.0 n=367 | 38% ▼ |
Consistent with an optimal mix (p = 0.69).
Optimal mix: +0.3 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 59% | 59.1%±3.8 n=432 | 51% ▼ |
| Body | 5% | 65.8%±9.5 n=37 | 0% ▼ |
| T | 36% | 63.5%±4.6 n=266 | 49% ▲ |
Consistent with an optimal mix (p = 0.25).
Optimal mix: +0.4 per 100 first serves.
Exploitability 0.33 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: +1.2±2.7 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. (683 repeats, 835 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 | 45 | 45% | +8.5±9.5 | |
| 1st | Ad court | T | 174 | 30% | +2.1±5.3 | |
| 1st | Ad court | Wide | 256 | 25% | −2.0±4.2 | |
| 1st | Deuce court | Body | 62 | 45% | +7.9±8.5 | |
| 1st | Deuce court | T | 248 | 26% | +1.4±4.4 | |
| 1st | Deuce court | Wide | 211 | 25% | −1.8±4.6 | |
| 2nd | Ad court | Body | 83 | 46% | −3.5±7.7 | |
| 2nd | Ad court | T | 27 | 47% | −2.3±10.9 | |
| 2nd | Ad court | Wide | 144 | 53% | +4.2±6.2 | |
| 2nd | Deuce court | Body | 100 | 49% | ±0.0±7.2 | |
| 2nd | Deuce court | T | 105 | 49% | −0.9±7.1 | |
| 2nd | Deuce court | Wide | 71 | 53% | +4.8±8.2 |
Signature patterns
Recurring sequences that win more than Thiago Seyboth Wild's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- T serve (ad court) → FH down the line used 2.7% · won 67% · +2.5±9.7 vs own baseline
- Wide serve (ad court) → FH crosscourt used 3.1% · won 67% · +2.0±9.4 vs own baseline
- T serve (ad court) → FH crosscourt used 3.5% · won 66% · +1.0±9.1 vs own baseline
- Wide serve (deuce court) → FH through the middle used 2.1% · won 61% · −4.1±10.8 vs own baseline
- T serve (deuce court) → FH crosscourt used 3.9% · won 61% · −4.0±9.0 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, deep used 4.0% · won 51% · +11.1±10.5 vs own baseline
- vs body serve (deuce court) → BH through the middle, mid used 2.8% · won 52% · +12.2±11.4 vs own baseline
- vs wide serve (ad court) → BH through the middle, deep used 3.6% · won 50% · +10.3±10.8 vs own baseline
- vs T serve (ad court) → FH through the middle, mid used 3.7% · won 49% · +9.4±10.7 vs own baseline
- vs wide serve (ad court) → BH crosscourt, deep used 2.8% · won 50% · +10.3±11.4 vs own baseline
Rally, consecutive own shots
- BH crosscourt → FH crosscourt used 3.2% · won 52% · +9.2±10.3 vs own baseline
- BH down the line → FH down the line used 2.5% · won 50% · +6.8±11.0 vs own baseline
- FH down the line → FH down the line used 2.4% · won 49% · +5.9±11.1 vs own baseline
- FH crosscourt → FH crosscourt used 5.2% · won 46% · +3.3±8.8 vs own baseline
- BH through the middle → BH through the middle used 3.9% · won 46% · +3.4±9.7 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Thiago Seyboth Wild wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Wide serve → BH through the middle return, mid → FH crosscourt used 0.5% · won 57% · +11.1±12.4 vs own baseline · +13.5 vs tour on the same sequence
- FH crosscourt → FH through the middle → FH crosscourt used 0.6% · won 52% · +6.2±11.7 vs own baseline · +3.7 vs tour on the same sequence Disrupted by Gael Monfils (4/6)
- FH crosscourt → FH crosscourt → FH crosscourt used 0.8% · won 51% · +5.1±11.0 vs own baseline · +6.0 vs tour on the same sequence Disrupted by Nicolas Mejia (4/6)
- FH crosscourt → FH through the middle → FH down the line used 0.9% · won 50% · +4.2±10.7 vs own baseline · −0.1 vs tour on the same sequence Disrupted by Gael Monfils (4/8), Paul Jubb (5/6)
- Wide serve → BH through the middle return, mid → FH down the line used 0.5% · won 51% · +5.3±12.7 vs own baseline · +1.5 vs tour on the same sequence
- FH crosscourt → FH down the line → BH crosscourt used 0.5% · won 50% · +4.2±12.6 vs own baseline · +6.7 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 · serve +1 | +2.2 | 359 |
| FH to their forehand · serve +1 | +1.3 | 248 |
| BH to the middle · rally | +1.2 | 271 |
| FH to the middle · return | +0.9 | 254 |
| BH to their backhand · rally | +0.5 | 264 |
Most exposed to
| BH to their backhand · return | −2.2 | 252 |
| FH to the middle · return | −2.0 | 256 |
| FH to their forehand · rally | −1.9 | 403 |
| FH to the middle · rally | −1.7 | 220 |
| BH to their backhand · return +1 | −1.7 | 163 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Miomir Kecmanovic +1.89, Rafael Nadal +1.81, Nishesh Basavareddy +1.65, Pedro Martinez +1.59, Casper Ruud +1.57
Favourable matchups
Miomir Kecmanovic +1.46, Fabian Marozsan +1.44, Pedro Martinez +1.32, Roberto Bautista Agut +1.25, Roberto Carballes Baena +1.20
Active players who are best at the shot in the top weakness: Ugo Humbert, Miomir Kecmanovic, Casper Ruud, Zhizhen Zhang, Bernard Tomic
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Forehand share | 61% | |
| Wide serves · ad | 59% | |
| Run-around forehands | 31% | |
| Drop shots / shot | 2.8% | |
| Wide serves · deuce | 49% | |
| 1st serve in | 64% | |
| FH down the line | 33% | |
| Unforced errors / shot | 11.0% | |
| Through the middle | 26% | |
| BH down the line | 22% | |
| Point-ending shots | 25.5% | |
| Deep returns | 29% | |
| Avg rally length | 4.0 | |
| T serves · deuce | 45% | |
| Chipped returns | 13% | |
| Serve & volley | 2% | |
| T serves · ad | 36% | |
| Points at net | 8% | |
| Backhand slice | 13% |
Plays most like
- Aleksandar Vukic 2019–2025 plan v
- Lloyd Harris 2019–2024 plan v
- Joao Fonseca 2024–2026 plan v
- Dominic Thiem 2011–2024 plan v
- Hubert Hurkacz 2018–2026 plan v
- Stefanos Tsitsipas 2016–2026 plan v
- Juan Ignacio Londero 2019–2022 plan v
- Flavio Cobolli 2022–2026 plan v
Closest from another era
- Robin Soderling 2004–2011
- Carlos Moya 1997–2007
- Magnus Norman 2000–2001
Charted matches
- Thiago Seyboth Wild v Alex Barrena W Itajai CH SF · Clay · 24 Jan 2026
- Thiago Seyboth Wild v Nicolas Mejia W Cap Cana CH R32 · Hard · 12 Mar 2025
- Stefanos Tsitsipas v Thiago Seyboth Wild L Indian Wells Masters R64 · Hard · 7 Mar 2025
- Thiago Seyboth Wild v Paul Jubb W Wimbledon R128 · Grass · 2 Jul 2024
- Thiago Seyboth Wild v Gael Monfils L Roland Garros R128 · Clay · 27 May 2024
- Thiago Seyboth Wild v Taylor Fritz W Miami Masters R64 · Hard · 23 Mar 2024
- Fabian Marozsan v Thiago Seyboth Wild L Indian Wells Masters R32 · Hard · 10 Mar 2024
- Thiago Seyboth Wild v Arthur Fils L Santiago R16 · Clay · 28 Feb 2024
- Cameron Norrie v Thiago Seyboth Wild L Rio de Janeiro QF · Clay · 23 Feb 2024
- Thiago Seyboth Wild v Andrey Rublev L Australian Open R128 · Hard · 14 Jan 2024
- Hubert Hurkacz v Thiago Seyboth Wild L United Cup RR · Hard · 30 Dec 2023
- Thiago Seyboth Wild v Yoshihito Nishioka L Roland Garros R32 · Clay · 3 Jun 2023