WTA · Right-handed · 9 charted matches · 2015–2025
Oceane Dodin
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 2,203 shots.
Shot expected value
The share of points Oceane Dodin 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 · 100 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH through the middle | 20% | 45.4%±12.9 | 45.8% |
| BH through the middle | 20% | 40.6%±12.8 | 46.2% |
| FH crosscourt | 19% | 55.2%±13.1 | 52.7% |
| BH crosscourt | 14% | 47.6%±14.1 | 50.9% |
| BH down the line | 14% | 61.8%±13.7 | 50.0% |
| FH down the line | 13% | 49.8%±14.3 | 52.2% |
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 91 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 43% | 35.0%±10.2 | 43.3% |
| BH crosscourt | 36% | 50.0%±11.3 | 47.6% |
| BH down the line | 21% | 47.1%±13.1 | 46.8% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 76 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 45% | 50.6%±11.2 | 46.7% |
| FH through the middle | 32% | 39.2%±12.1 | 41.3% |
| FH down the line | 24% | 36.8%±12.9 | 44.9% |
Serve +1: mid-depth return to your middle
position worth 51% to the average player · 66 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH through the middle | 33% | 34.0%±12.0 | 46.3% |
| FH crosscourt | 23% | 50.9%±13.9 | 54.0% |
| FH through the middle | 17% | 45.5%±14.7 | 45.5% |
Serve under pressure
Pressure predictability index +1 How much less varied Oceane Dodin's first-serve direction gets on break points. Positive means easier to read. Based on 67 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 42% | 50% | 65% / 66% |
| Body | 22% | 22% | 49% / 57% |
| T | 36% | 28% ▼ | 64% / 68% |
254 normal · 18 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 20% | 29% ▲ | 71% / 66% |
| Body | 10% | 6% | 47% / 56% |
| T | 69% | 65% | 71% / 64% |
201 normal · 49 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 | 43% | 56.4%±6.8 n=116 | 58% ▲ |
| Body | 22% | 46.8%±8.7 n=59 | 7% ▼ |
| T | 36% | 53.2%±7.3 n=97 | 35% |
Consistent with an optimal mix (p = 0.22).
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 22% | 54.0%±8.9 n=55 | 37% ▲ |
| Body | 10% | 44.9%±11.1 n=24 | 0% ▼ |
| T | 68% | 56.5%±5.8 n=171 | 63% ▼ |
Consistent with an optimal mix (p = 0.06).
Optimal mix: +0.5 per 100 first serves.
Exploitability 0.58 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: −6.8±7.9 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. (214 repeats, 290 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 | 22 | 48% | +4.5±11.4 | |
| 1st | Ad court | T | 59 | 31% | −4.5±8.1 | |
| 1st | Ad court | Wide | 55 | 32% | −2.3±8.3 | |
| 1st | Deuce court | Body | 31 | 44% | +1.3±10.5 | |
| 1st | Deuce court | T | 71 | 28% | −3.8±7.4 | |
| 1st | Deuce court | Wide | 58 | 33% | −0.8±8.3 | |
| 2nd | Ad court | Body | 43 | 54% | −0.9±9.6 | |
| 2nd | Ad court | T | 30 | 53% | −2.5±10.6 | |
| 2nd | Ad court | Wide | 37 | 52% | −1.2±10.0 | |
| 2nd | Deuce court | Body | 40 | 50% | −4.0±9.8 | |
| 2nd | Deuce court | T | 39 | 58% | +1.7±9.8 | |
| 2nd | Deuce court | Wide | 30 | 49% | −5.2±10.6 |
Signature patterns
Recurring sequences that win more than Oceane Dodin's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- T serve (ad court) → BH through the middle used 6.3% · won 54% · −6.3±11.7 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, mid used 15.9% · won 55% · +6.7±11.5 vs own baseline
Rally, consecutive own shots
- Not enough data
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 the middle · return | +0.1 | 139 |
| T 1st serve · ad court | −0.4 | 171 |
Most exposed to
| T 1st serve · deuce court | −2.2 | 125 |
| FH to the middle · return | +3.5 | 133 |
Active players who are best at the shot in the top weakness: Serena Williams, Madison Keys, Ashlyn Krueger, Karolina Pliskova, Victoria Mboko
Tactical fingerprint
Each bar shows how far a style trait is from the WTA average, in standard deviations.
| T serves · ad | 68% | |
| Deep returns | 43% | |
| Through the middle | 37% | |
| Point-ending shots | 31.8% | |
| Unforced errors / shot | 13.3% | |
| BH down the line | 23% | |
| Wide serves · deuce | 43% | |
| FH down the line | 29% | |
| Drop shots / shot | 1.5% | |
| Serve & volley | 0% | |
| T serves · deuce | 36% | |
| Points at net | 5% | |
| Backhand slice | 3% | |
| Chipped returns | 2% | |
| Run-around forehands | 0% | |
| 1st serve in | 56% | |
| Avg rally length | 3.1 | |
| Forehand share | 47% | |
| Wide serves · ad | 22% |
Plays most like
- Elena Gabriela Ruse 2016–2026 plan v
- Ana Konjuh 2014–2022 plan v
- Naomi Osaka 2016–2026 plan v
- Eva Lys 2022–2026 plan v
- Veronika Kudermetova 2018–2025 plan v
- Solana Sierra 2022–2026 plan v
- Shuai Zhang 2009–2026 plan v
- Ashlyn Krueger 2023–2026 plan v
Closest from another era
- Justine Henin 1999–2010
- Lindsay Davenport 1995–2006
- Anastasia Myskina 2002–2006
Charted matches
- Noma Noha Akugue v Oceane Dodin L ITF Petange R32 · Hard · 19 Nov 2025
- Coco Gauff v Oceane Dodin L Miami R32 · Hard · 24 Mar 2024
- Qinwen Zheng v Oceane Dodin L Australian Open R16 · Hard · 22 Jan 2024
- Oceane Dodin v Clara Burel W Australian Open R32 · Hard · 19 Jan 2024
- Oceane Dodin v Lucie Safarova L Wimbledon R128 · Grass · 4 Jul 2017
- Dominika Cibulkova v Oceane Dodin W Madrid R32 · Clay · 9 May 2017
- Mariana Duque Marino v Oceane Dodin L US Open R64 · Hard · 2 Sep 2015
- Michaella Krajicek v Oceane Dodin L s Hertogenbosch R32 · Grass · 8 Jun 2015
- Ana Vrljic v Oceane Dodin W ITF Altenkirchen QF · Hard · 20 Feb 2015