WTA · Right-handed · 19 charted matches · 2024–2026
Maya Joint
Archetype: Ad-court T server · Rallies through the middle
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 6,131 shots.
Shot expected value
The share of points Maya Joint 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 middle
position worth 50% to the average player · 432 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 22% | 55.2%±7.6 | 52.2% |
| FH crosscourt | 21% | 58.3%±7.8 | 52.7% |
| FH through the middle | 20% | 45.9%±7.9 | 45.8% |
| BH crosscourt | 16% | 49.6%±8.8 | 50.9% |
| BH through the middle | 15% | 47.3%±9.0 | 46.2% |
| BH down the line | 7% | 37.3%±11.1 | 50.0% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 339 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 46% | 46.6%±6.2 | 47.6% |
| BH through the middle | 32% | 41.9%±7.2 | 43.3% |
| BH down the line | 12% | 52.3%±10.6 | 46.8% |
| BH slice through the middle | 4% | 27.8%±13.0 | 34.4% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 305 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 39% | 51.0%±7.0 | 46.7% |
| FH through the middle | 35% | 47.1%±7.3 | 41.3% |
| FH down the line | 16% | 42.0%±9.8 | 44.9% |
| FH slice through the middle | 4% | 30.8%±13.4 | 29.2% |
Serve +1: mid-depth return to your middle
position worth 51% to the average player · 234 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 26% | 52.2%±9.1 | 46.3% |
| FH through the middle | 23% | 53.6%±9.6 | 45.5% |
| FH crosscourt | 18% | 56.1%±10.4 | 54.0% |
| FH down the line | 15% | 56.5%±10.9 | 53.3% |
| BH crosscourt | 14% | 58.6%±11.2 | 52.5% |
| BH down the line | 4% | 40.6%±14.8 | 51.0% |
Serve under pressure
Pressure predictability index +12 How much less varied Maya Joint's first-serve direction gets on break points. Positive means easier to read. Based on 143 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 37% | 48% ▲ | 62% / 66% |
| Body | 19% | 12% | 61% / 57% |
| T | 43% | 39% | 65% / 68% |
613 normal · 33 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 43% | 54% ▲ | 62% / 66% |
| Body | 18% | 7% ▼ | 48% / 56% |
| T | 39% | 39% | 55% / 64% |
493 normal · 110 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. A direction loses 0.19 points per 100 serves for every 10 points of habitual usage, measured from WTA 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 | 38% | 55.2%±4.9 n=245 | 36% ▼ |
| Body | 19% | 59.2%±6.6 n=122 | 15% ▼ |
| T | 43% | 55.3%±4.7 n=279 | 49% ▲ |
Consistent with an optimal mix (p = 0.59).
Optimal mix: ±0.0 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 45% | 54.6%±4.7 n=273 | 60% ▲ |
| Body | 16% | 48.4%±7.3 n=97 | 1% ▼ |
| T | 39% | 53.6%±5.1 n=233 | 39% |
Consistent with an optimal mix (p = 0.36).
Optimal mix: +0.6 per 100 first serves.
Exploitability 0.28 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of WTA servers. Tested on matches they weren't fitted on, WTA mixes picked this way win 0.42 per 100 first serves on average.
Repeating the previous direction to the same court: −2.1±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. (348 repeats, 863 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 | 75 | 46% | +2.0±8.0 | |
| 1st | Ad court | T | 114 | 32% | −3.8±6.4 | |
| 1st | Ad court | Wide | 164 | 28% | −6.4±5.3 | |
| 1st | Deuce court | Body | 88 | 45% | +2.1±7.5 | |
| 1st | Deuce court | T | 152 | 30% | −2.1±5.6 | |
| 1st | Deuce court | Wide | 162 | 31% | −2.7±5.5 | |
| 2nd | Ad court | Body | 90 | 61% | +6.2±7.3 | |
| 2nd | Ad court | T | 35 | 59% | +4.2±10.0 | |
| 2nd | Ad court | Wide | 94 | 50% | −3.5±7.4 | |
| 2nd | Deuce court | Body | 113 | 55% | +1.0±6.8 | |
| 2nd | Deuce court | T | 64 | 58% | +2.3±8.4 | |
| 2nd | Deuce court | Wide | 46 | 58% | +4.3±9.3 |
Signature patterns
Recurring sequences that win more than Maya Joint's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 2.8% · won 69% · +11.4±9.9 vs own baseline
- T serve (ad court) → BH crosscourt used 2.3% · won 58% · +1.3±11.0 vs own baseline
- T serve (deuce court) → FH crosscourt used 3.6% · won 57% · −0.5±9.8 vs own baseline
- T serve (deuce court) → FH down the line used 2.1% · won 56% · −1.1±11.4 vs own baseline
- T serve (deuce court) → FH through the middle used 3.5% · won 55% · −2.6±9.9 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, deep used 4.4% · won 59% · +16.3±10.5 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 4.8% · won 51% · +8.6±10.4 vs own baseline
- vs body serve (deuce court) → FH through the middle, deep used 3.9% · won 51% · +8.8±11.0 vs own baseline
- vs body serve (ad court) → BH crosscourt, mid used 3.0% · won 52% · +8.9±11.7 vs own baseline
- vs body serve (deuce court) → BH through the middle, mid used 3.0% · won 52% · +8.9±11.7 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH down the line used 5.0% · won 60% · +9.4±9.1 vs own baseline
- BH through the middle → BH crosscourt used 4.1% · won 57% · +6.3±9.8 vs own baseline
- FH down the line → BH down the line used 2.7% · won 57% · +6.1±11.0 vs own baseline
- FH down the line → BH through the middle used 2.3% · won 54% · +3.6±11.4 vs own baseline
- BH through the middle → FH crosscourt used 5.1% · won 53% · +2.3±9.2 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Maya Joint wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH through the middle → FH down the line used 0.6% · won 59% · +11.6±12.5 vs own baseline · +22.8 vs tour on the same sequence
- T serve → BH through the middle return, mid → BH through the middle used 0.7% · won 55% · +7.7±12.2 vs own baseline · +18.1 vs tour on the same sequence
- FH down the line → BH crosscourt → BH crosscourt used 0.7% · won 53% · +5.3±12.0 vs own baseline · +10.7 vs tour on the same sequence Disrupted by Emma Raducanu (5/7)
- BH through the middle → FH through the middle → FH crosscourt used 0.7% · won 53% · +5.3±12.0 vs own baseline · +10.1 vs tour on the same sequence
- BH crosscourt → BH through the middle → FH crosscourt used 0.7% · won 53% · +5.3±12.0 vs own baseline · +5.2 vs tour on the same sequence
- BH crosscourt → BH crosscourt → BH through the middle used 0.9% · won 51% · +3.1±11.5 vs own baseline · +9.9 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 · serve +1 | +2.4 | 143 |
| FH to their backhand · serve +1 | +1.2 | 126 |
| Body 1st serve · deuce court | +0.2 | 122 |
| T 1st serve · deuce court | +0.2 | 279 |
| Wide 1st serve · ad court | +0.1 | 273 |
Most exposed to
| FH to the middle · return | −2.7 | 248 |
| BH to their backhand · return | −2.3 | 193 |
| T 1st serve · deuce court | −1.4 | 259 |
| BH to their backhand · rally | −1.2 | 241 |
| BH to the middle · return | −1.1 | 309 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Sara Sorribes Tormo +2.48, Caroline Wozniacki +2.27, Daria Kasatkina +1.70, Angelique Kerber +1.64, Sara Errani +1.59
Favourable matchups
Sara Errani +1.21, Angelique Kerber +0.95, Marie Bouzkova +0.86, Elina Avanesyan +0.56, Katie Volynets +0.52
Active players who are best at the shot in the top weakness: Elina Avanesyan, Caroline Wozniacki, Sara Sorribes Tormo, Lin Zhu, Qiang Wang
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Through the middle | 38% | |
| Unforced errors / shot | 12.8% | |
| T serves · deuce | 43% | |
| Deep returns | 36% | |
| 1st serve in | 65% | |
| Wide serves · ad | 45% | |
| Point-ending shots | 25.8% | |
| T serves · ad | 39% | |
| Forehand share | 53% | |
| Serve & volley | 0% | |
| Run-around forehands | 6% | |
| Chipped returns | 7% | |
| Wide serves · deuce | 38% | |
| Avg rally length | 3.9 | |
| Backhand slice | 8% | |
| FH down the line | 27% | |
| Drop shots / shot | 1.0% | |
| Points at net | 5% | |
| BH down the line | 17% |
Plays most like
- Irina Camelia Begu 2015–2024 plan v
- Bernarda Pera 2017–2025 plan v
- Jasmine Paolini 2016–2026 plan v
- Robin Montgomery 2022–2026 plan v
- Shuai Zhang 2009–2026 plan v
- Rebecca Marino 2018–2024 plan v
- Yue Yuan 2023–2026 plan v
- Anett Kontaveit 2015–2023 plan v
Closest from another era
- Dinara Safina 2007–2011
- Marion Bartoli 2003–2013
- Elena Dementieva 1999–2010
Charted matches
- Maya Joint v Serena Williams W Wimbledon R128 · Grass · 30 Jun 2026
- Maya Joint v Diana Shnaider L Dubai R64 · Hard · 15 Feb 2026
- Maya Joint v Linda Noskova L Doha R64 · Hard · 9 Feb 2026
- Maya Joint v Tereza Valentova L Australian Open R128 · Hard · 20 Jan 2026
- Maya Joint v Mirra Andreeva Adelaide QF · Hard · 15 Jan 2026
- Maya Joint v Iga Swiatek L United Cup QF · Hard · 9 Jan 2026
- Himeno Sakatsume v Maya Joint W Hong Kong QF · Hard · 31 Oct 2025
- Maya Joint v Victoria Jimenez Kasintseva W Beijing R128 · Hard · 25 Sep 2025
- Maya Joint v Iga Swiatek L Seoul SF · Hard · 20 Sep 2025
- Sofia Kenin v Maya Joint W Seoul R16 · Hard · 17 Sep 2025
- Amanda Anisimova v Maya Joint L US Open R64 · Hard · 28 Aug 2025
- Maya Joint v Victoria Jimenez Kasintseva W US Open R128 · Hard · 26 Aug 2025