RallyIQ

Game plan

Carla Suarez Navarro v Tereza Martincova

Every number combines what Carla Suarez Navarro does well with what Tereza Martincova 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 66%90%: 33%–90% · best of 5: 70%
Serve points won 58.5% / 55.4% Carla / Tereza · tour 56.3%
Strengths only, no similarity priors 63%serve 58.0% / 55.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Tereza Martincova's tactical lookalikes and in their charted head-to-heads (lookalikes: +16.9 on serve, +1.0 on return vs expectation (114 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

CareerCarlaTereza
Direction choice−0.14 ±0.09
better than 28%
−0.28 ±0.15
better than 9%
Shot selection−0.42 ±0.14
better than 16%
−0.26 ±0.20
better than 24%
Execution+0.22 ±0.49
better than 69%
−0.64 ±1.13
better than 29%
Points left on the table2.63 ±0.13
lower than 46%
2.83 ±0.18
lower than 21%

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 TerezaMatchupOptimal
Wide42%62%78%75.1%±7.856% ▲
Body28%54%64%61.2%±11.013% ▼
T30%65%71%68.7%±9.431% ▲

Optimal v Tereza Martincova: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarla winsv TerezaMatchupOptimal
Wide23%63%71%68.7%±9.238% ▲
Body35%57%59%59.9%±10.934%
T43%56%67%59.1%±10.128% ▼

Optimal v Tereza Martincova: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.1 per 100 first serves in before the returner adjusts.

Tereza Martincova serving

Deuce court

1st serveNowTereza winsv CarlaMatchupOptimal
Wide47%60%69%62.7%±7.963% ▲
Body27%58%62%62.9%±10.126%
T26%58%70%60.7%±9.911% ▼

Optimal v Carla Suarez Navarro: +0.1±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +0.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTereza winsv CarlaMatchupOptimal
Wide39%61%65%60.5%±9.638%
Body27%59%59%61.8%±10.812% ▼
T34%58%71%65.0%±9.050% ▲

Optimal v Carla Suarez Navarro: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.6 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 TerezaValue
FH through the middle50%+4.2+0.2+2.4+6.8±2.7
FH crosscourt18%+5.3−3.5−0.9+0.9±4.3
FH down the line13%+1.5+1.8−0.4+2.9±4.7
FH slice through the middle12%−6.7+0.1+0.3−6.3±2.4
FH slice crosscourt3%−6.6+1.5±0.0−5.1±1.8

Lean FH through the middle: +4.1±1.7 per 100 returns v the current mix (555 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TerezaValue
BH through the middle37%+6.0+0.3+0.9+7.2±2.6
BH slice through the middle21%−6.2−0.2±0.0−6.4±1.7
BH crosscourt18%+7.7−1.5+1.4+7.7±3.6
BH down the line10%+2.2−3.4+1.6+0.4±4.6
BH slice crosscourt9%−4.2+0.6+0.6−3.0±2.5

Lean BH crosscourt: +5.8±3.1 per 100 returns v the current mix (567 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TerezaValue
FH through the middle48%−3.2+1.2−0.6−2.5±3.1
FH down the line27%−0.6−3.4+3.5−0.4±5.1
FH crosscourt21%+0.5±0.0+1.1+1.7±4.1
FH slice through the middle4%−15.2+0.2±0.0−15.0±1.1

Lean FH crosscourt: +3.3±3.8 per 100 returns v the current mix (120 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv TerezaValue
BH through the middle37%−2.6+0.3+0.9−1.3±2.5
BH crosscourt27%+1.5−1.4+1.1+1.3±3.2
BH down the line10%−0.5+0.6+2.9+3.0±4.5
FH through the middle8%−2.7−0.6−0.6−3.8±2.6
FH inside-in7%+0.7+2.0+1.1+3.9±4.3

Lean FH inside-in: +4.5±4.3 per 100 returns v the current mix (345 returns charted)

Tereza Martincova returning

1st serve to the forehand

ReturnNowTourOwnv CarlaValue
FH through the middle39%+4.2−1.2+1.6+4.6±2.6
FH down the line29%+1.5−4.1+0.7−1.9±4.4
FH crosscourt19%+5.3+0.2+3.9+9.3±3.9
FH slice through the middle12%−6.7+0.3+0.2−6.2±2.4

Lean FH crosscourt: +7.0±3.5 per 100 returns v the current mix (114 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarlaValue
BH through the middle55%+6.0+0.2±0.0+6.2±2.5
BH crosscourt27%+7.7+1.8−3.5+6.0±3.4
BH down the line9%+2.2+1.2+0.5+3.8±4.0
BH slice crosscourt5%−4.2+0.1−1.1−5.2±2.3
BH slice through the middle5%−6.2−0.3+1.0−5.5±2.1

Lean BH through the middle: +1.3±1.5 per 100 returns v the current mix (109 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv CarlaValue
FH through the middle49%−3.2−0.8−0.4−4.4±2.8
FH crosscourt27%+0.5+2.3+1.2+4.1±3.9
FH down the line24%−0.6+1.2+0.5+1.2±4.6

Lean FH through the middle: −3.6±2.1 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarlaValue
BH crosscourt43%+1.5−0.8−2.5−1.8±3.2
BH through the middle41%−2.6+0.7−0.6−2.5±2.4
BH down the line15%−0.5−1.6+2.1−0.1±4.4

Lean BH crosscourt: ±0.0±2.2 per 100 returns v the current mix (46 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.

Carla Suarez Navarro

Favour

ShotEdgeOwnTheirs
BH to the middle · return+2.3±2.3−0.1+2.4
FH to their backhand · return+2.2±4.1+0.2+2.0
FH to their forehand · serve +1+2.1±3.6+1.0+1.1
FH to the middle · return+1.4±2.3+0.6+0.7
FH to their forehand · return +1+1.3±3.7+1.6−0.3
FH to their backhand · rally+0.2±3.2−0.2+0.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−2.4±2.0−1.2−1.2
FH to their forehand · return−1.5±4.1−1.7+0.2
FH to the middle · rally−1.4±2.1−0.4−1.0
BH to their backhand · serve +1−1.1±3.4−0.8−0.3
BH to their backhand · rally−0.2±2.7−0.1−0.2

Tereza Martincova

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.6±3.8+1.5+2.2
FH to the middle · rally+2.3±2.1+1.9+0.4
BH to their backhand · serve +1+1.7±3.3+2.3−0.6
BH to their backhand · rally+1.0±2.5+0.7+0.4
BH to the middle · return+0.2±2.2−0.1+0.2
BH to the middle · rally±0.0±2.0−1.0+1.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−4.1±3.7−2.2−1.9
FH to their backhand · rally−3.4±3.1−3.8+0.4
BH to their backhand · return−1.8±3.2+1.8−3.6
FH to their forehand · rally−1.4±2.8−1.9+0.5
BH to the middle · serve +1−0.8±2.4−0.1−0.7

Against Tereza Martincova-like opponents

Carla Suarez Navarro vMatchesServe pts wonReturn pts won
All charted opponents–54.2%40.4%
Players most similar to Tereza Martincova1 73.5%44.6%

Similar by tactical fingerprint: Coco Gauff, Marie Bouzkova, Daria Kasatkina, Emma Navarro, Emma Raducanu, Yafan Wang, Nao Hibino, Rebecca Peterson, Andrea Petkovic. When two players have rarely met, their records against these lookalikes fill the gap.