WTA · Right-handed · 24 charted matches · 2022–2026
Victoria Mboko
Archetype: Forehand line-changer · Backhand line-changer
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 8,380 shots.
Shot expected value
The share of points Victoria Mboko 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 43% to the average player · 483 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 41% | 46.9%±5.6 | 46.7% |
| FH through the middle | 31% | 39.6%±6.2 | 41.3% |
| FH down the line | 16% | 50.0%±8.3 | 44.9% |
| FH slice through the middle | 6% | 33.0%±10.8 | 29.2% |
| FH slice crosscourt | 5% | 35.8%±12.0 | 31.9% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 476 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 25% | 49.2%±7.0 | 52.2% |
| FH through the middle | 22% | 50.5%±7.4 | 45.8% |
| BH through the middle | 17% | 49.8%±8.1 | 46.2% |
| FH crosscourt | 16% | 59.9%±8.2 | 52.7% |
| BH down the line | 11% | 45.1%±9.7 | 50.0% |
| BH crosscourt | 9% | 51.1%±10.5 | 50.9% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 440 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 34% | 45.7%±6.3 | 43.3% |
| BH crosscourt | 34% | 52.1%±6.3 | 47.6% |
| BH down the line | 18% | 47.8%±8.3 | 46.8% |
| BH slice through the middle | 6% | 29.5%±10.9 | 34.4% |
| BH slice down the line | 4% | 39.8%±13.4 | 31.7% |
| BH slice crosscourt | 3% | 41.4%±13.9 | 40.4% |
Return +1: drive to your middle
position worth 50% to the average player · 290 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 20% | 53.9%±9.2 | 53.0% |
| BH through the middle | 19% | 49.7%±9.5 | 46.2% |
| FH through the middle | 18% | 54.0%±9.7 | 46.5% |
| BH down the line | 15% | 44.6%±10.3 | 50.6% |
| FH crosscourt | 13% | 46.6%±10.7 | 52.3% |
| BH crosscourt | 12% | 44.9%±10.9 | 50.8% |
Serve under pressure
Pressure predictability index +8 How much less varied Victoria Mboko's first-serve direction gets on break points. Positive means easier to read. Based on 164 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 44% | 50% | 67% / 66% |
| Body | 22% | 20% | 60% / 57% |
| T | 34% | 30% | 74% / 68% |
827 normal · 40 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 48% | 60% ▲ | 71% / 66% |
| Body | 25% | 18% | 58% / 56% |
| T | 28% | 23% | 68% / 64% |
679 normal · 124 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 | 44% | 55.7%±4.0 n=382 | 44% |
| Body | 22% | 55.1%±5.5 n=192 | 7% ▼ |
| T | 34% | 62.3%±4.4 n=293 | 49% ▲ |
Consistent with an optimal mix (p = 0.09).
Optimal mix: +0.9 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 50% | 60.0%±3.9 n=399 | 65% ▲ |
| Body | 24% | 54.4%±5.5 n=189 | 8% ▼ |
| T | 27% | 57.4%±5.2 n=215 | 27% |
Consistent with an optimal mix (p = 0.30).
Optimal mix: +0.8 per 100 first serves.
Exploitability 0.85 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: −0.2±4.2 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. (552 repeats, 1,070 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 | 51% | +6.7±8.0 | |
| 1st | Ad court | T | 224 | 36% | +0.6±5.0 | |
| 1st | Ad court | Wide | 161 | 38% | +3.4±5.8 | |
| 1st | Deuce court | Body | 101 | 42% | −0.8±7.1 | |
| 1st | Deuce court | T | 154 | 34% | +1.4±5.7 | |
| 1st | Deuce court | Wide | 286 | 36% | +2.4±4.5 | |
| 2nd | Ad court | Body | 136 | 61% | +6.1±6.2 | |
| 2nd | Ad court | T | 72 | 59% | +4.3±8.0 | |
| 2nd | Ad court | Wide | 120 | 45% | −8.8±6.7 | |
| 2nd | Deuce court | Body | 157 | 53% | −1.9±6.0 | |
| 2nd | Deuce court | T | 85 | 54% | −2.3±7.6 | |
| 2nd | Deuce court | Wide | 84 | 47% | −7.2±7.7 |
Signature patterns
Recurring sequences that win more than Victoria Mboko's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → BH down the line used 3.2% · won 64% · −1.2±9.0 vs own baseline
- Wide serve (ad court) → FH crosscourt used 3.2% · won 63% · −1.6±9.1 vs own baseline
- Body serve (deuce court) → FH through the middle used 2.2% · won 61% · −3.5±10.2 vs own baseline
- Wide serve (deuce court) → BH crosscourt used 2.3% · won 61% · −3.9±10.1 vs own baseline
- T serve (ad court) → FH down the line used 2.4% · won 60% · −4.8±10.0 vs own baseline
Return
- vs wide serve (ad court) → BH crosscourt, mid used 3.8% · won 56% · +9.8±9.6 vs own baseline
- vs wide serve (ad court) → BH crosscourt, short used 3.1% · won 54% · +7.4±10.3 vs own baseline
- vs body serve (ad court) → BH through the middle, deep used 2.1% · won 55% · +8.1±11.3 vs own baseline
- vs T serve (deuce court) → BH through the middle, mid used 3.4% · won 53% · +6.5±10.1 vs own baseline
- vs T serve (ad court) → FH through the middle, mid used 3.5% · won 52% · +5.7±10.0 vs own baseline
Rally, consecutive own shots
- BH crosscourt → BH down the line used 3.7% · won 54% · +5.3±8.8 vs own baseline
- BH through the middle → BH through the middle used 2.9% · won 54% · +5.4±9.5 vs own baseline
- BH down the line → FH down the line used 2.6% · won 55% · +5.7±9.8 vs own baseline
- FH down the line → FH down the line used 1.5% · won 56% · +7.1±11.2 vs own baseline
- FH through the middle → BH crosscourt used 2.8% · won 54% · +4.8±9.6 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Victoria Mboko wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Body serve → BH through the middle return, mid → FH down the line used 0.4% · won 60% · +11.8±12.7 vs own baseline · +27.2 vs tour on the same sequence
- FH through the middle → FH down the line → BH crosscourt used 0.5% · won 57% · +8.3±12.0 vs own baseline · +21.0 vs tour on the same sequence Disrupted by Mirra Andreeva (4/7)
- BH crosscourt → BH crosscourt → BH down the line used 1.1% · won 54% · +5.3±9.9 vs own baseline · +8.8 vs tour on the same sequence Disrupted by Mirra Andreeva (8/12), Marie Bouzkova (7/10)
- BH crosscourt → BH crosscourt → BH crosscourt used 0.9% · won 54% · +5.7±10.3 vs own baseline · +9.3 vs tour on the same sequence Disrupted by Mirra Andreeva (8/13), Marie Bouzkova (6/7)
- Wide serve → FH through the middle return, deep → BH through the middle used 0.5% · won 56% · +7.1±11.9 vs own baseline · +19.1 vs tour on the same sequence Disrupted by Elena Rybakina (4/6)
- FH crosscourt → FH through the middle → BH crosscourt used 0.6% · won 54% · +6.0±11.8 vs own baseline · +8.5 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 | +2.2 | 247 |
| BH to their backhand · return +1 | +1.7 | 140 |
| T 1st serve · deuce court | +1.6 | 293 |
| Wide 1st serve · deuce court | +1.6 | 382 |
| BH to the middle · return +1 | +1.6 | 149 |
Most exposed to
| Wide 2nd serve · ad court | −1.9 | 120 |
| Body 2nd serve · deuce court | −1.9 | 157 |
| BH to their backhand · rally | −1.4 | 375 |
| FH to their backhand · serve +1 | −1.0 | 178 |
| BH to their backhand · return | −0.9 | 172 |
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 +2.10, Daria Kasatkina +1.50, Sara Errani +1.43, Tatjana Maria +1.26
Favourable matchups
Sara Errani +2.24, Angelique Kerber +1.90, Marie Bouzkova +1.86, Elina Avanesyan +1.66, Katie Volynets +1.46
Active players who are best at the shot in the top weakness: Sloane Stephens, Karolina Muchova, Caroline Wozniacki, Ons Jabeur, Magda Linette
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| BH down the line | 27% | |
| Through the middle | 34% | |
| Wide serves · ad | 50% | |
| FH down the line | 33% | |
| 1st serve in | 65% | |
| Wide serves · deuce | 44% | |
| Chipped returns | 12% | |
| Unforced errors / shot | 10.8% | |
| Point-ending shots | 24.2% | |
| Forehand share | 54% | |
| Serve & volley | 0% | |
| Backhand slice | 11% | |
| Avg rally length | 4.0 | |
| Deep returns | 31% | |
| T serves · deuce | 34% | |
| Drop shots / shot | 1.0% | |
| Run-around forehands | 3% | |
| Points at net | 3% | |
| T serves · ad | 27% |
Plays most like
- Cristina Bucsa 2016–2026 plan v
- Irina Camelia Begu 2015–2024 plan v
- Sorana Cirstea 2014–2026 plan v
- Shelby Rogers 2014–2024 plan v
- Belinda Bencic 2014–2026 plan v
- Alison Riske Amritraj 2014–2022 plan v
- Karolina Pliskova 2013–2026 plan v
- Emma Raducanu 2018–2026 plan v
Closest from another era
- Elena Dementieva 1999–2010
- Daniela Hantuchova 2002–2015
- Dinara Safina 2007–2011
Charted matches
- Victoria Mboko v Karolina Muchova L Miami QF · Hard · 24 Mar 2026
- Victoria Mboko v Mirra Andreeva W Miami R16 · Hard · 23 Mar 2026
- Aryna Sabalenka v Victoria Mboko L Indian Wells QF · Hard · 12 Mar 2026
- Victoria Mboko v Elena Rybakina W Doha QF · Hard · 12 Feb 2026
- Victoria Mboko v Mirra Andreeva W Doha R16 · Hard · 11 Feb 2026
- Marie Bouzkova v Victoria Mboko W Doha R64 · Hard · 8 Feb 2026
- Victoria Mboko v Caty Mcnally W Australian Open R64 · Hard · 21 Jan 2026
- Emerson Jones v Victoria Mboko W Australian Open R128 · Hard · 19 Jan 2026
- Victoria Mboko v Mirra Andreeva L Adelaide F · Hard · 17 Jan 2026
- Kimberly Birrell v Victoria Mboko W Adelaide SF · Hard · 16 Jan 2026
- Eva Lys v Victoria Mboko W Tokyo R16 · Hard · 22 Oct 2025
- Victoria Mboko v Bianca Andreescu W Tokyo R32 · Hard · 20 Oct 2025