WTA · Right-handed · 50 charted matches · 2007–2016
Ana Ivanovic
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 16,830 shots.
Shot expected value
The share of points Ana Ivanovic 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 · 1,271 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 31% | 48.7%±4.1 | 47.6% |
| BH through the middle | 21% | 42.5%±4.8 | 43.3% |
| BH down the line | 17% | 44.4%±5.3 | 46.8% |
| BH slice through the middle | 8% | 29.5%±6.7 | 34.4% |
| FH inside-in | 6% | 63.3%±8.1 | 55.6% |
| BH slice crosscourt | 5% | 46.0%±8.9 | 40.4% |
| BH slice down the line | 5% | 39.4%±8.9 | 31.7% |
| FH inside-out | 4% | 56.4%±9.7 | 52.5% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 738 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 34% | 52.6%±5.0 | 52.7% |
| FH down the line | 22% | 61.0%±5.9 | 52.2% |
| FH through the middle | 13% | 45.8%±7.6 | 45.8% |
| BH crosscourt | 11% | 54.1%±8.1 | 50.9% |
| BH through the middle | 7% | 47.6%±9.6 | 46.2% |
| BH down the line | 6% | 45.2%±10.4 | 50.0% |
| FH down the line + approach | 3% | 66.8%±12.2 | 68.6% |
| FH crosscourt + approach | 1% | 61.1%±14.4 | 69.7% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 718 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 38% | 44.3%±4.8 | 46.7% |
| FH down the line | 28% | 39.7%±5.5 | 44.9% |
| FH through the middle | 18% | 36.3%±6.6 | 41.3% |
| FH slice through the middle | 9% | 32.0%±8.4 | 29.2% |
| FH slice crosscourt | 3% | 37.5%±12.4 | 31.9% |
| FH down the line + approach | 3% | 55.2%±12.9 | 65.4% |
Return +1: drive to your backhand side
position worth 44% to the average player · 642 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 32% | 40.2%±5.3 | 47.8% |
| BH through the middle | 24% | 40.1%±6.2 | 43.0% |
| BH down the line | 18% | 46.8%±7.1 | 46.2% |
| BH slice through the middle | 7% | 31.3%±9.4 | 33.2% |
| BH slice crosscourt | 5% | 33.2%±10.5 | 39.6% |
| BH slice down the line | 5% | 39.5%±11.4 | 28.7% |
| FH inside-out | 3% | 55.0%±12.6 | 55.4% |
| FH inside-in | 3% | 55.3%±12.9 | 55.6% |
Serve under pressure
Pressure predictability index +2 How much less varied Ana Ivanovic's first-serve direction gets on break points. Positive means easier to read. Based on 372 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 47% | 56% ▲ | 72% / 66% |
| Body | 19% | 9% ▼ | 59% / 57% |
| T | 34% | 34% | 74% / 68% |
1,728 normal · 96 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 41% | 48% | 67% / 66% |
| Body | 14% | 16% | 59% / 56% |
| T | 45% | 36% ▼ | 71% / 64% |
1,409 normal · 276 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 | 48% | 61.9%±2.7 n=872 | 63% ▲ |
| Body | 18% | 57.9%±4.3 n=335 | 3% ▼ |
| T | 34% | 60.4%±3.2 n=617 | 34% |
Consistent with an optimal mix (p = 0.35).
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 42% | 59.5%±3.0 n=709 | 57% ▲ |
| Body | 14% | 54.8%±5.0 n=241 | 0% ▼ |
| T | 44% | 57.5%±2.9 n=735 | 43% |
Consistent with an optimal mix (p = 0.31).
Optimal mix: +0.6 per 100 first serves.
Exploitability 0.69 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: −2.9±3.2 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. (1,240 repeats, 2,169 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 | 207 | 46% | +2.6±5.3 | |
| 1st | Ad court | T | 314 | 34% | −1.0±4.2 | |
| 1st | Ad court | Wide | 561 | 35% | +0.3±3.2 | |
| 1st | Deuce court | Body | 265 | 48% | +5.5±4.8 | |
| 1st | Deuce court | T | 533 | 37% | +4.7±3.3 | |
| 1st | Deuce court | Wide | 351 | 30% | −4.0±3.9 | |
| 2nd | Ad court | Body | 176 | 58% | +2.5±5.7 | |
| 2nd | Ad court | T | 112 | 48% | −6.8±6.9 | |
| 2nd | Ad court | Wide | 359 | 55% | +1.2±4.2 | |
| 2nd | Deuce court | Body | 297 | 58% | +3.1±4.5 | |
| 2nd | Deuce court | T | 279 | 56% | −0.4±4.6 | |
| 2nd | Deuce court | Wide | 133 | 47% | −7.1±6.4 |
Signature patterns
Recurring sequences that win more than Ana Ivanovic's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 3.3% · won 67% · +2.0±6.7 vs own baseline
- T serve (deuce court) → FH crosscourt used 2.4% · won 62% · −3.2±7.9 vs own baseline
- Body serve (ad court) → FH crosscourt used 2.1% · won 61% · −4.3±8.3 vs own baseline
- T serve (ad court) → FH crosscourt used 3.2% · won 62% · −3.6±7.0 vs own baseline
- Wide serve (deuce court) → FH down the line used 2.9% · won 58% · −7.4±7.4 vs own baseline
Return
- vs T serve (deuce court) → BH through the middle, deep used 2.9% · won 53% · +10.7±7.7 vs own baseline
- vs T serve (deuce court) → BH crosscourt, mid used 2.1% · won 55% · +12.0±8.5 vs own baseline
- vs wide serve (ad court) → BH through the middle, deep used 2.8% · won 51% · +8.0±7.8 vs own baseline
- vs T serve (ad court) → FH through the middle, mid used 2.1% · won 48% · +5.4±8.6 vs own baseline
- vs wide serve (ad court) → BH crosscourt, short used 2.3% · won 46% · +3.4±8.4 vs own baseline
Rally, consecutive own shots
- BH down the line → FH down the line used 2.2% · won 56% · +7.9±8.8 vs own baseline
- FH down the line → FH crosscourt used 2.4% · won 56% · +7.7±8.6 vs own baseline
- BH crosscourt → FH crosscourt used 3.5% · won 55% · +6.2±7.5 vs own baseline
- FH down the line → FH down the line used 1.3% · won 57% · +8.8±10.3 vs own baseline
- BH crosscourt → BH crosscourt used 4.6% · won 53% · +4.6±6.7 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Ana Ivanovic wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Wide serve → BH through the middle return, mid → FH crosscourt used 0.5% · won 64% · +15.5±10.1 vs own baseline · +17.3 vs tour on the same sequence
- FH down the line → BH through the middle → FH down the line used 0.4% · won 62% · +13.0±10.6 vs own baseline · +18.8 vs tour on the same sequence
- BH down the line → FH through the middle → FH crosscourt used 0.3% · won 64% · +14.9±11.3 vs own baseline · +26.0 vs tour on the same sequence
- BH crosscourt → BH crosscourt → FH inside-in used 0.5% · won 60% · +10.9±10.1 vs own baseline · +8.6 vs tour on the same sequence Disrupted by Daria Saville (3/6), Kurumi Nara (5/7)
- T serve → FH through the middle return, deep → FH crosscourt used 0.3% · won 61% · +12.5±11.8 vs own baseline · +27.2 vs tour on the same sequence
- FH crosscourt → FH through the middle → FH crosscourt used 0.7% · won 56% · +6.8±9.4 vs own baseline · +3.5 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 · return | +3.0 | 223 |
| BH to their backhand · return | +2.8 | 621 |
| FH to their backhand · serve +1 | +2.1 | 430 |
| BH to their backhand · serve +1 | +2.0 | 372 |
| BH slice to their forehand · rally | +1.6 | 144 |
Most exposed to
| BH to their forehand · rally | −3.1 | 323 |
| Wide 2nd serve · deuce court | −1.8 | 133 |
| BH to their forehand · serve +1 | −1.6 | 221 |
| FH to the middle · return +1 | −1.6 | 155 |
| Wide 1st serve · deuce court | −1.2 | 557 |
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.
| Run-around forehands | 17% | |
| Wide serves · deuce | 48% | |
| FH down the line | 33% | |
| Point-ending shots | 27.4% | |
| BH down the line | 24% | |
| T serves · ad | 44% | |
| Unforced errors / shot | 11.6% | |
| Backhand slice | 19% | |
| Wide serves · ad | 42% | |
| Points at net | 8% | |
| Serve & volley | 0% | |
| Forehand share | 53% | |
| Drop shots / shot | 1.2% | |
| T serves · deuce | 34% | |
| Deep returns | 31% | |
| Chipped returns | 6% | |
| Avg rally length | 3.7 | |
| 1st serve in | 58% | |
| Through the middle | 24% |
Plays most like
- Louisa Chirico 2015–2017 plan v
- Karolina Pliskova 2013–2026 plan v
- Svetlana Kuznetsova 2004–2021 plan v
- Ekaterina Alexandrova 2017–2026 plan v
- Eugenie Bouchard 2013–2023 plan v
- Shelby Rogers 2014–2024 plan v
- Anastasia Potapova 2017–2026 plan v
- Anna Bondar 2017–2026 plan v
Closest from another era
- Jennifer Capriati 1990–2002
- Monica Seles 1990–2003
- Arantxa Sanchez Vicario 1988–2001
Charted matches
- Ana Ivanovic v Kurumi Nara W Roland Garros R64 · Clay · 26 May 2016
- Ana Ivanovic v Venus Williams W Beijing R32 · Hard · 6 Oct 2015
- Dominika Cibulkova v Ana Ivanovic L US Open R128 · Hard · 31 Aug 2015
- Ana Ivanovic v Serena Williams L Cincinnati QF · Hard · 21 Aug 2015
- Ana Ivanovic v Yi Fan Xu W Wimbledon R128 · Grass · 29 Jun 2015
- Ana Ivanovic v Michelle Larcher De Brito L Birmingham R32 · Grass · 17 Jun 2015
- Ana Ivanovic v Lucie Safarova L Roland Garros SF · Clay · 4 Jun 2015
- Ana Ivanovic v Elina Svitolina W Roland Garros QF · Clay · 2 Jun 2015
- Ana Ivanovic v Donna Vekic W Roland Garros R32 · Clay · 29 May 2015
- Ana Ivanovic v Daria Saville L Rome Masters R32 · Clay · 13 May 2015
- Caroline Garcia v Ana Ivanovic L Stuttgart R32 · Clay · 21 Apr 2015
- Ana Ivanovic v Yulia Putintseva W Indian Wells R64 · Hard · 14 Mar 2015