WTA · Right-handed · 19 charted matches · 2015–2023
Kristina Mladenovic
Archetype: Runs around the backhand · Forehand-dominant
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 6,900 shots.
Shot expected value
The share of points Kristina Mladenovic 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 · 414 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 25% | 36.8%±7.1 | 43.3% |
| BH crosscourt | 22% | 45.6%±7.7 | 47.6% |
| BH down the line | 15% | 46.1%±9.1 | 46.8% |
| BH slice crosscourt | 9% | 44.2%±10.6 | 40.4% |
| BH slice through the middle | 9% | 48.9%±10.9 | 34.4% |
| FH inside-out | 5% | 52.5%±12.8 | 52.5% |
| BH drop shot down the line | 5% | 44.6%±12.9 | 49.1% |
| FH inside-in | 3% | 53.3%±14.1 | 55.6% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 288 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH down the line | 23% | 49.9%±8.9 | 52.2% |
| FH crosscourt | 22% | 60.4%±8.9 | 52.7% |
| BH through the middle | 15% | 44.8%±10.3 | 46.2% |
| FH through the middle | 12% | 40.3%±10.9 | 45.8% |
| BH down the line | 11% | 44.2%±11.3 | 50.0% |
| BH crosscourt | 9% | 40.8%±11.8 | 50.9% |
| BH slice down the line | 3% | 45.9%±15.0 | 43.9% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 279 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 44% | 49.9%±6.9 | 46.7% |
| FH through the middle | 20% | 41.9%±9.2 | 41.3% |
| FH down the line | 18% | 50.7%±9.8 | 44.9% |
| FH slice crosscourt | 8% | 29.5%±11.6 | 31.9% |
| FH down the line + approach | 5% | 63.9%±13.8 | 65.4% |
| FH slice through the middle | 5% | 26.8%±12.7 | 29.2% |
Return +1: drive to your backhand side
position worth 44% to the average player · 223 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 30% | 49.5%±8.9 | 43.0% |
| BH crosscourt | 28% | 39.2%±8.8 | 47.8% |
| BH slice through the middle | 14% | 28.2%±10.3 | 33.2% |
| BH slice crosscourt | 10% | 37.0%±12.1 | 39.6% |
| BH down the line | 7% | 37.8%±13.5 | 46.2% |
Serve under pressure
Pressure predictability index +6 How much less varied Kristina Mladenovic's first-serve direction gets on break points. Positive means easier to read. Based on 190 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 46% | 59% ▲ | 65% / 66% |
| Body | 16% | 9% | 61% / 57% |
| T | 38% | 32% | 76% / 68% |
710 normal · 56 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 35% | 46% ▲ | 66% / 66% |
| Body | 26% | 22% | 53% / 56% |
| T | 39% | 33% | 66% / 64% |
574 normal · 134 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 | 47% | 57.9%±4.1 n=359 | 62% ▲ |
| Body | 16% | 56.4%±6.6 n=121 | 1% ▼ |
| T | 37% | 54.6%±4.6 n=286 | 37% |
Consistent with an optimal mix (p = 0.64).
Optimal mix: +0.4 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 37% | 51.6%±4.8 n=262 | 37% |
| Body | 25% | 49.6%±5.7 n=178 | 10% ▼ |
| T | 38% | 54.4%±4.7 n=268 | 53% ▲ |
Consistent with an optimal mix (p = 0.50).
Optimal mix: +0.7 per 100 first serves.
Exploitability 0.55 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: +3.4±4.1 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. (464 repeats, 972 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 | 74 | 36% | −8.2±7.7 | |
| 1st | Ad court | T | 134 | 35% | −1.0±6.1 | |
| 1st | Ad court | Wide | 178 | 30% | −4.5±5.2 | |
| 1st | Deuce court | Body | 94 | 42% | −0.8±7.3 | |
| 1st | Deuce court | T | 182 | 32% | −0.2±5.3 | |
| 1st | Deuce court | Wide | 150 | 30% | −3.9±5.6 | |
| 2nd | Ad court | Body | 74 | 54% | −0.7±8.0 | |
| 2nd | Ad court | T | 58 | 53% | −2.2±8.8 | |
| 2nd | Ad court | Wide | 138 | 52% | −1.1±6.3 | |
| 2nd | Deuce court | Body | 105 | 58% | +3.6±7.0 | |
| 2nd | Deuce court | T | 134 | 61% | +4.8±6.3 | |
| 2nd | Deuce court | Wide | 67 | 51% | −3.1±8.4 |
Signature patterns
Recurring sequences that win more than Kristina Mladenovic's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- T serve (ad court) → FH crosscourt used 2.4% · won 61% · +0.7±10.8 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 2.6% · won 60% · +0.4±10.6 vs own baseline
- T serve (deuce court) → FH crosscourt used 2.4% · won 57% · −2.8±10.9 vs own baseline
- Wide serve (deuce court) → FH down the line used 3.5% · won 57% · −2.6±9.8 vs own baseline
- Body serve (deuce court) → FH down the line used 2.7% · won 57% · −3.3±10.5 vs own baseline
Return
- vs wide serve (ad court) → BH crosscourt, deep used 2.5% · won 53% · +9.9±11.6 vs own baseline
- vs wide serve (ad court) → BH crosscourt, mid used 4.5% · won 50% · +7.0±9.9 vs own baseline
- vs T serve (deuce court) → BH through the middle, short used 3.6% · won 50% · +7.0±10.6 vs own baseline
- vs T serve (ad court) → FH through the middle, short used 2.6% · won 48% · +5.0±11.4 vs own baseline
- vs T serve (deuce court) → BH through the middle, deep used 2.9% · won 46% · +3.3±11.2 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH crosscourt used 6.0% · won 56% · +8.1±10.1 vs own baseline
- FH through the middle → BH crosscourt used 3.8% · won 55% · +6.7±11.4 vs own baseline
- BH down the line → FH crosscourt used 3.8% · won 53% · +4.8±11.5 vs own baseline
- BH through the middle → FH through the middle used 3.4% · won 51% · +2.9±11.7 vs own baseline
- BH through the middle → FH crosscourt used 6.0% · won 50% · +1.9±10.1 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Kristina Mladenovic wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Wide serve → BH crosscourt return, mid → BH down the line used 0.6% · won 54% · +5.7±12.8 vs own baseline · +10.7 vs tour on the same sequence
- FH crosscourt → FH crosscourt → FH crosscourt used 0.9% · won 48% · +0.1±11.6 vs own baseline · −0.3 vs tour on the same sequence Disrupted by Daria Saville (1/7), Kiki Bertens (2/6)
- Body serve → BH through the middle return, mid → FH down the line used 0.5% · won 47% · −0.4±13.0 vs own baseline · −6.2 vs tour on the same sequence
- FH crosscourt → FH crosscourt → FH through the middle used 0.8% · won 47% · −1.1±12.0 vs own baseline · +2.2 vs tour on the same sequence
- BH down the line → FH crosscourt → FH crosscourt used 0.6% · won 46% · −1.6±12.8 vs own baseline · −4.1 vs tour on the same sequence
- FH crosscourt → FH crosscourt → FH down the line used 1.1% · won 46% · −1.5±11.0 vs own baseline · −2.5 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
| FH to their backhand · rally | +2.1 | 272 |
| FH to their forehand · serve +1 | +1.3 | 205 |
| FH to their forehand · rally | +1.1 | 308 |
| Wide 2nd serve · deuce court | +0.3 | 129 |
| FH to their forehand · return +1 | +0.2 | 124 |
Most exposed to
| BH to their forehand · rally | −2.7 | 128 |
| FH to their backhand · serve +1 | −2.1 | 178 |
| FH to their forehand · return | −2.1 | 126 |
| FH to their backhand · return | −2.0 | 176 |
| FH to their forehand · serve +1 | −1.8 | 196 |
Active players who are best at the shot in the top weakness: Sara Sorribes Tormo, Alexandra Eala, Kayla Day, Caroline Wozniacki, Alize Cornet
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| Drop shots / shot | 4.4% | |
| Run-around forehands | 18% | |
| BH down the line | 25% | |
| Point-ending shots | 28.8% | |
| Points at net | 11% | |
| Wide serves · deuce | 47% | |
| FH down the line | 33% | |
| Backhand slice | 24% | |
| Unforced errors / shot | 11.8% | |
| Serve & volley | 1% | |
| T serves · deuce | 37% | |
| T serves · ad | 38% | |
| Chipped returns | 8% | |
| Forehand share | 53% | |
| Through the middle | 27% | |
| Wide serves · ad | 37% | |
| Deep returns | 29% | |
| Avg rally length | 3.7 | |
| 1st serve in | 58% |
Plays most like
- Sabine Lisicki 2009–2022 plan v
- Ana Ivanovic 2007–2016 plan v
- Karolina Muchova 2019–2026 plan v
- Hailey Baptiste 2024–2026 plan v
- Petra Martic 2010–2024 plan v
- Clara Tauson 2020–2026 plan v
- Bianca Andreescu 2017–2026 plan v
- Anastasia Pavlyuchenkova 2014–2026 plan v
Closest from another era
- Lindsay Davenport 1995–2006
- Anastasia Myskina 2002–2006
- Martina Hingis 1996–2007
Charted matches
- Kristina Mladenovic v Julia Riera L Rabat R32 · Clay · 22 May 2023
- Karolina Pliskova v Kristina Mladenovic L Dubai R16 · Hard · 19 Feb 2020
- Kiki Bertens v Kristina Mladenovic W Moscow QF · Hard · 18 Oct 2019
- Angelique Kerber v Kristina Mladenovic W US Open R128 · Hard · 26 Aug 2019
- Maria Sakkari v Kristina Mladenovic L Rome QF · Clay · 17 May 2019
- Kristina Mladenovic v Carla Suarez Navarro L Dubai R16 · Hard · 20 Feb 2019
- Naomi Osaka v Kristina Mladenovic W Dubai R32 · Hard · 19 Feb 2019
- Natalia Vikhlyantseva v Kristina Mladenovic W ITF Dubai R32 · Hard · 11 Dec 2018
- Bianca Andreescu v Kristina Mladenovic L Washington R16 · Hard · 3 Aug 2017
- Maria Sharapova v Kristina Mladenovic W Stuttgart SF · Clay · 29 Apr 2017
- Kristina Mladenovic v Karolina Pliskova L Fed Cup World Group F RR · Hard · 12 Nov 2016
- Caroline Wozniacki v Kristina Mladenovic L Hong Kong F · Hard · 16 Oct 2016