RallyIQ

Game plan

Carla Suarez Navarro v Caroline Wozniacki

Every number combines what Carla Suarez Navarro does well with what Caroline Wozniacki allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Carla Suarez Navarro wins, best of 3 9%90%: 1%–32% · best of 5: 5%
Serve points won 51.5% / 61.7% Carla / Caroline · tour 58.1%
Strengths only, no similarity priors 9%serve 51.9% / 62.1%

Each player's serve and return strength is fitted against every opponent they were charted against, so a record built on weak opponents counts for less. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers. The result is then nudged by Carla Suarez Navarro's record against Caroline Wozniacki's tactical lookalikes and in their charted head-to-heads (lookalikes: +2.6 on serve, +12.3 on return vs expectation (176 points); head-to-head: −5.2 on serve, −2.3 on return vs expectation (388 points)). A game-by-game Markov chain turns point odds into match odds; the 90% range covers the uncertainty in the two strengths, not the nudges. Charted matches lean toward big events, so treat this as a scouting estimate, not a betting line.

Head to head, per 100 shots

CareerCarlaCaroline
Direction choice−0.14 ±0.09
better than 28%
+0.03 ±0.05
better than 59%
Shot selection−0.42 ±0.14
better than 16%
+0.06 ±0.06
better than 52%
Execution+0.22 ±0.49
better than 69%
+2.22 ±0.16
better than 100%
Points left on the table2.63 ±0.13
lower than 46%
2.40 ±0.07
lower than 76%

Each player's career against an average tour player in the same position, adjusted for opponent strength, with a 90% margin (shots clustered by match). Points left on the table is the gap to the best-value direction for the same stroke, so lower is better. Percentiles are within each player's own tour. A side is highlighted only when the gap is larger than the margin on the difference.

Serve plan

The share of points the server wins when a first serve lands in that direction (hover a rate for its 90% interval; ± is the 90% margin). "Matchup" combines the server's rate with how this returner handles that serve. "Optimal" is the mix that wins most against this returner once they start reading a habit, at the response measured across the tour, and only within the range servers' habits actually vary. The gain over the current mix is how exploitable that mix is.

Carla Suarez Navarro serving

Deuce court

1st serveNowCarla winsv CarolineMatchupOptimal
Wide42%62%60%56.1%±4.742%
Body28%54%50%47.2%±5.713% ▼
T30%65%63%59.9%±5.845% ▲

Optimal v Caroline Wozniacki: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarla winsv CarolineMatchupOptimal
Wide23%63%60%57.1%±6.438% ▲
Body35%57%47%48.4%±5.719% ▼
T43%56%59%49.6%±4.943%

Optimal v Caroline Wozniacki: +1.1±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.2 per 100 first serves in before the returner adjusts.

Caroline Wozniacki serving

Deuce court

1st serveNowCaroline winsv CarlaMatchupOptimal
Wide42%67%69%70.1%±4.257% ▲
Body25%62%62%66.0%±6.210% ▼
T33%71%70%72.6%±4.333%

Optimal v Carla Suarez Navarro: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCaroline winsv CarlaMatchupOptimal
Wide35%68%65%66.9%±4.738% ▲
Body24%59%59%61.5%±6.99% ▼
T41%63%71%69.8%±4.753% ▲

Optimal v Carla Suarez Navarro: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.0 per 100 first serves in before the returner adjusts.

Return plan

Value of each return, in points per 100 returns against an average return of the same serve (direction, court, surface): the tour's result with that return, the returner's own edge with it, and what this server gives up when it comes back to that side. Returns with no charted direction are left out, so values compare with each other rather than with zero. Depth isn't a choice here: missed returns have no depth. Serve quality isn't charted, so a block through the middle partly reflects the serve that forced it.

Carla Suarez Navarro returning

1st serve to the forehand

ReturnNowTourOwnv CarolineValue
FH through the middle50%+4.2+0.2+0.9+5.3±1.8
FH crosscourt18%+5.3−3.5+1.4+3.2±3.3
FH down the line13%+1.5+1.8+3.6+6.9±3.8
FH slice through the middle12%−6.7+0.1+0.3−6.3±2.3
FH slice crosscourt3%−6.6+1.5−1.1−6.2±2.6

Lean FH down the line: +4.1±3.5 per 100 returns v the current mix (555 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarolineValue
BH through the middle37%+6.0+0.3±0.0+6.3±1.8
BH slice through the middle21%−6.2−0.2−1.3−7.7±2.1
BH crosscourt18%+7.7−1.5+1.2+7.4±2.8
BH down the line10%+2.2−3.4−1.1−2.3±3.8
BH slice crosscourt9%−4.2+0.6−0.1−3.8±3.0

Lean BH crosscourt: +6.6±2.5 per 100 returns v the current mix (567 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarolineValue
FH through the middle48%−3.2+1.2+1.8−0.1±2.5
FH down the line27%−0.6−3.4+1.5−2.4±4.3
FH crosscourt21%+0.5±0.0+0.8+1.4±3.5
FH slice through the middle4%−15.2+0.2+1.8−13.2±2.1

Lean FH crosscourt: +2.3±3.2 per 100 returns v the current mix (120 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarolineValue
BH through the middle37%−2.6+0.3+1.8−0.4±2.1
BH crosscourt27%+1.5−1.4+0.3+0.4±2.9
BH down the line10%−0.5+0.6+2.9+3.0±4.5
FH through the middle8%−2.7−0.6+1.8−1.4±2.1
FH inside-in7%+0.7+2.0+0.8+3.6±3.7

Lean FH inside-in: +3.9±3.6 per 100 returns v the current mix (345 returns charted)

Caroline Wozniacki returning

1st serve to the forehand

ReturnNowTourOwnv CarlaValue
FH through the middle52%+4.2+3.4+1.6+9.1±1.6
FH crosscourt21%+5.3+3.9+3.9+13.1±3.1
FH down the line16%+1.5+6.2+0.7+8.4±3.5
FH slice through the middle7%−6.7−1.5+0.2−8.0±2.3
FH slice crosscourt2%−6.6−1.7+0.4−8.0±2.5

Lean FH crosscourt: +5.1±2.7 per 100 returns v the current mix (2852 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarlaValue
BH through the middle45%+6.0+2.8±0.0+8.8±1.6
BH crosscourt36%+7.7+4.0−3.5+8.2±2.6
BH slice through the middle9%−6.2−1.9+1.0−7.1±2.4
BH down the line5%+2.2+5.0+0.5+7.6±4.5
BH slice down the line3%−12.5−2.1+0.2−14.4±3.2

Lean BH through the middle: +2.7±1.3 per 100 returns v the current mix (1809 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarlaValue
FH through the middle43%−3.2+3.7−0.4+0.2±2.3
FH down the line29%−0.6+2.5+0.5+2.5±4.5
FH crosscourt26%+0.5+3.0+1.2+4.8±3.8
BH inside-out1%+2.2+0.3+2.1+4.6±3.9
BH through the middle1%−1.0−0.3−0.6−1.8±1.8

Lean FH crosscourt: +2.9±3.3 per 100 returns v the current mix (983 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarlaValue
BH crosscourt54%+1.5+3.5−2.5+2.5±2.7
BH through the middle35%−2.6+4.1−0.6+0.9±2.2
BH down the line12%−0.5+2.0+2.1+3.5±5.1

Lean BH down the line: +1.4±4.8 per 100 returns v the current mix (834 returns charted, inside the 90% margin)

Rally plan

Edge, in points per 100 shots: the hitter's skill with the shot (own) plus how much the receiver usually gives up against it (theirs), both measured against the tour average on grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Carla Suarez Navarro

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+4.6±4.9±0.0+4.6
FH to their backhand · return+4.1±4.3+0.2+3.9
BH to the middle · return+3.2±3.0+2.6+0.7
FH to the middle · serve +1+2.9±3.2+4.2−1.3
FH to their forehand · serve +1+1.8±4.6+1.3+0.5
BH to the middle · serve +1+1.5±3.1+0.3+1.2

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · return +1−4.0±4.2−0.6−3.5
FH to the middle · rally−3.5±2.9−4.0+0.4
BH to their forehand · serve +1−3.3±4.9−5.2+1.9
FH to their backhand · return +1−2.4±5.2+0.2−2.6
BH slice to the middle · return−2.0±3.2−0.8−1.2

Caroline Wozniacki

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+7.7±5.0+3.3+4.3
BH to their forehand · return+7.2±4.7+5.7+1.6
BH to their forehand · rally+6.2±4.8+8.0−1.7
FH to the middle · return+5.5±3.2+3.7+1.8
FH to their backhand · rally+5.1±4.3+2.2+2.9
BH to their backhand · rally+4.9±3.7+2.9+2.0

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−2.4±3.8−1.3−1.1
BH slice to the middle · return +1−0.7±3.3±0.0−0.7
FH to their forehand · serve +1−0.6±4.7+0.9−1.5
BH to their backhand · return+0.4±4.2+3.6−3.3
BH to the middle · serve +1+0.5±3.1+3.5−2.9

Against Caroline Wozniacki-like opponents

Carla Suarez Navarro vMatchesServe pts wonReturn pts won
All charted opponents–54.2%40.4%
Players most similar to Caroline Wozniacki1 57.1%53.3%
Caroline Wozniacki (charted head-to-head)3 46.6%37.6%

Similar by tactical fingerprint: Marie Bouzkova, Daria Kasatkina, Emma Navarro, Emma Raducanu, Victoria Azarenka, Linda Fruhvirtova, Anna Karolina Schmiedlova, Alize Cornet, Alison Riske Amritraj, Agnieszka Radwanska. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head