WTA · Right-handed · 14 charted matches · 2012–2020
Monica Niculescu
Archetype: Rarely serves the T · Patient builder
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 6,283 shots.
Shot expected value
The share of points Monica Niculescu 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 45% to the average player · 408 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 35% | 39.4%±6.3 | 43.3% |
| BH crosscourt | 34% | 47.8%±6.5 | 47.6% |
| BH down the line | 11% | 52.9%±10.3 | 46.8% |
| BH slice through the middle | 7% | 42.6%±11.6 | 34.4% |
| BH slice crosscourt | 4% | 43.5%±13.4 | 40.4% |
| BH lob crosscourt | 3% | 39.2%±14.2 | 32.8% |
| BH drop shot down the line | 3% | 43.2%±14.4 | 49.1% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 360 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH slice crosscourt | 31% | 45.4%±7.1 | 31.9% |
| FH slice through the middle | 28% | 40.7%±7.4 | 29.2% |
| FH slice down the line | 21% | 44.5%±8.4 | 24.3% |
| FH crosscourt | 6% | 49.6%±12.8 | 46.7% |
| FH through the middle | 5% | 37.5%±12.9 | 41.3% |
| FH down the line | 4% | 49.9%±14.1 | 44.9% |
| FH slice down the line + approach | 4% | 63.1%±13.8 | 59.1% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 312 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 27% | 43.0%±8.0 | 46.2% |
| FH slice down the line | 13% | 48.4%±10.7 | 47.9% |
| BH down the line | 11% | 41.8%±10.9 | 50.0% |
| FH slice through the middle | 11% | 45.8%±11.1 | 41.0% |
| FH slice crosscourt | 11% | 51.6%±11.1 | 42.0% |
| BH crosscourt | 9% | 49.4%±11.7 | 50.9% |
Long rally, 9+: drive to your forehand side
position worth 44% to the average player · 229 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH slice crosscourt | 36% | 46.9%±8.1 | 31.6% |
| FH slice through the middle | 26% | 46.7%±9.2 | 29.3% |
| FH slice down the line | 14% | 40.5%±11.2 | 25.3% |
| FH crosscourt | 8% | 40.5%±13.1 | 47.0% |
| FH through the middle | 6% | 36.2%±13.6 | 41.5% |
Serve under pressure
Pressure predictability index +1 How much less varied Monica Niculescu's first-serve direction gets on break points. Positive means easier to read. Based on 137 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 41% | 36% | 58% / 66% |
| Body | 39% | 33% | 52% / 57% |
| T | 20% | 31% ▲ | 63% / 68% |
485 normal · 36 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 32% | 42% ▲ | 62% / 66% |
| Body | 32% | 22% ▼ | 55% / 56% |
| T | 36% | 37% | 57% / 64% |
385 normal · 101 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 | 41% | 53.6%±5.3 n=213 | 41% |
| Body | 38% | 46.5%±5.4 n=200 | 23% ▼ |
| T | 21% | 55.9%±7.0 n=108 | 36% ▲ |
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 | 34% | 52.9%±5.9 n=167 | 38% ▲ |
| Body | 30% | 53.8%±6.2 n=144 | 14% ▼ |
| T | 36% | 51.5%±5.7 n=175 | 48% ▲ |
Consistent with an optimal mix (p = 0.88).
Optimal mix: +0.2 per 100 first serves.
Exploitability 0.60 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: −3.3±6.1 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. (351 repeats, 628 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 | 62 | 41% | −2.4±8.4 | |
| 1st | Ad court | T | 110 | 41% | +5.7±6.8 | |
| 1st | Ad court | Wide | 125 | 31% | −3.9±6.1 | |
| 1st | Deuce court | Body | 58 | 46% | +3.7±8.7 | |
| 1st | Deuce court | T | 116 | 32% | −0.2±6.3 | |
| 1st | Deuce court | Wide | 177 | 38% | +3.8±5.5 | |
| 2nd | Ad court | Body | 92 | 59% | +3.6±7.3 | |
| 2nd | Ad court | T | 50 | 54% | −0.6±9.2 | |
| 2nd | Ad court | Wide | 47 | 51% | −2.8±9.4 | |
| 2nd | Deuce court | Body | 71 | 58% | +3.3±8.1 | |
| 2nd | Deuce court | T | 35 | 61% | +5.2±9.9 | |
| 2nd | Deuce court | Wide | 79 | 50% | −4.1±7.9 |
Signature patterns
Recurring sequences that win more than Monica Niculescu's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (deuce court) → FH slice down the line used 5.1% · won 55% · +0.5±10.0 vs own baseline
- T serve (ad court) → BH crosscourt used 2.8% · won 55% · +0.1±11.7 vs own baseline
- Wide serve (deuce court) → FH slice through the middle used 3.5% · won 53% · −1.2±11.1 vs own baseline
- T serve (ad court) → FH slice down the line used 3.8% · won 53% · −1.3±10.9 vs own baseline
- T serve (ad court) → BH through the middle used 5.4% · won 54% · −1.1±9.9 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, mid used 5.5% · won 53% · +4.1±10.8 vs own baseline
- vs wide serve (ad court) → BH through the middle, deep used 3.9% · won 53% · +4.5±11.7 vs own baseline
- vs wide serve (deuce court) → FH slice through the middle, deep used 5.7% · won 50% · +1.5±10.7 vs own baseline
- vs body serve (ad court) → BH through the middle, deep used 4.5% · won 50% · +1.5±11.4 vs own baseline
- vs wide serve (deuce court) → FH slice crosscourt, deep used 8.2% · won 49% · +0.7±9.6 vs own baseline
Rally, consecutive own shots
- BH crosscourt → FH slice through the middle used 2.3% · won 60% · +10.3±11.1 vs own baseline
- BH crosscourt → BH through the middle used 5.7% · won 56% · +5.7±8.7 vs own baseline
- BH through the middle → BH down the line used 3.1% · won 57% · +6.6±10.5 vs own baseline
- FH slice crosscourt → BH crosscourt used 3.2% · won 54% · +4.0±10.5 vs own baseline
- FH slice crosscourt → FH slice down the line used 3.4% · won 54% · +3.9±10.3 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Monica Niculescu wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH slice crosscourt → FH crosscourt → FH slice down the line used 1.3% · won 58% · +10.1±10.7 vs own baseline · +27.0 vs tour on the same sequence Disrupted by Caroline Wozniacki (3/6), Alize Cornet (5/6)
- BH through the middle → BH crosscourt → BH crosscourt used 1.0% · won 58% · +10.2±11.5 vs own baseline · +21.3 vs tour on the same sequence Disrupted by Alize Cornet (4/8)
- BH through the middle → FH crosscourt → FH slice through the middle used 1.3% · won 56% · +8.3±10.8 vs own baseline · +30.3 vs tour on the same sequence Disrupted by Alize Cornet (4/6)
- FH slice crosscourt → FH down the line → BH crosscourt used 0.7% · won 56% · +8.0±12.5 vs own baseline · +20.5 vs tour on the same sequence
- BH crosscourt → BH through the middle → BH through the middle used 0.9% · won 53% · +5.3±12.0 vs own baseline · +12.2 vs tour on the same sequence Disrupted by Alize Cornet (4/8)
- FH slice through the middle → FH crosscourt → FH slice crosscourt used 0.7% · won 53% · +5.6±12.5 vs own baseline · +27.9 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 slice to their backhand · rally | +6.6 | 231 |
| FH slice to their backhand · serve +1 | +6.2 | 124 |
| FH slice to their forehand · rally | +5.1 | 280 |
| FH slice to their forehand · return | +4.3 | 129 |
| FH slice to the middle · rally | +3.3 | 243 |
Most exposed to
| FH to their backhand · return | −4.9 | 132 |
| FH to the middle · return | −4.0 | 243 |
| FH to their forehand · return | −2.7 | 194 |
| T 1st serve · deuce court | −2.0 | 182 |
| BH to the middle · return | −1.7 | 167 |
Active players who are best at the shot in the top weakness: Angelique Kerber, Caroline Wozniacki, Emma Raducanu, Alexandra Eala, Daria Kasatkina
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Chipped returns | 48% | |
| Through the middle | 43% | |
| Drop shots / shot | 4.0% | |
| Avg rally length | 5.4 | |
| 1st serve in | 72% | |
| Points at net | 17% | |
| FH down the line | 32% | |
| Deep returns | 36% | |
| Serve & volley | 3% | |
| Wide serves · deuce | 41% | |
| BH down the line | 20% | |
| T serves · ad | 36% | |
| Backhand slice | 11% | |
| Wide serves · ad | 34% | |
| Run-around forehands | 1% | |
| Point-ending shots | 16.4% | |
| Forehand share | 48% | |
| Unforced errors / shot | 5.8% | |
| T serves · deuce | 21% |
Plays most like
- Viktorija Golubic 2017–2026 plan v
- Alize Cornet 2013–2024 plan v
- Saisai Zheng 2014–2020 plan v
- Marie Bouzkova 2018–2026 plan v
- Agnieszka Radwanska 2007–2018 plan v
- Madison Brengle 2014–2023 plan v
- Kateryna Baindl 2017–2023 plan v
- Sara Errani 2011–2025 plan v
Closest from another era
- Jennifer Capriati 1990–2002
- Arantxa Sanchez Vicario 1988–2001
- Gabriela Sabatini 1988–1995
Charted matches
- Danielle Collins v Monica Niculescu W Roland Garros R128 · Clay · 29 Sep 2020
- Alize Cornet v Monica Niculescu L Australian Open R128 · Hard · 21 Jan 2020
- Nigina Abduraimova v Monica Niculescu W Tashkent R32 · Hard · 24 Sep 2019
- Andrea Petkovic v Monica Niculescu W Wimbledon R128 · Grass · 2 Jul 2019
- Caroline Wozniacki v Monica Niculescu L Doha R16 · Hard · 15 Feb 2018
- Anett Kontaveit v Monica Niculescu L Roland Garros R128 · Clay · 29 May 2017
- Monica Niculescu v Ana Konjuh L Nottingham F · Grass · 15 Jun 2015
- Agnieszka Radwanska v Monica Niculescu W Nottingham SF · Grass · 14 Jun 2015
- Sabine Lisicki v Monica Niculescu L Dubai R32 · Hard · 17 Feb 2015
- Alize Cornet v Monica Niculescu W Guangzhou F · Hard · 21 Sep 2014
- Victoria Azarenka v Monica Niculescu L Australian Open R128 · Hard · 15 Jan 2013
- Shuai Peng v Monica Niculescu W Hobart R16 · Hard · 10 Jan 2013