RallyIQ

Game plan

Anhelina Kalinina v Carla Suarez Navarro

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

Forecast

Anhelina Kalinina wins, best of 3 55%90%: 16%–89% · best of 5: 56%
Serve points won 57.0% / 56.1% Anhelina / Carla · tour 58.1%
Strengths only, no similarity priors 55%serve 57.0% / 56.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Anhelina Kalinina's record against Carla Suarez Navarro's tactical lookalikes and in their charted head-to-heads. 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

CareerAnhelinaCarla
Direction choice+0.24 ±0.10
better than 90%
−0.14 ±0.09
better than 28%
Shot selection−0.03 ±0.17
better than 44%
−0.42 ±0.14
better than 16%
Execution+0.47 ±0.64
better than 78%
+0.22 ±0.49
better than 69%
Points left on the table2.11 ±0.10
lower than 98%
2.63 ±0.13
lower than 46%

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.

Anhelina Kalinina serving

Deuce court

1st serveNowAnhelina winsv CarlaMatchupOptimal
Wide39%61%69%63.7%±7.024% ▼
Body27%55%62%59.6%±8.627%
T34%64%70%66.1%±7.249% ▲

Optimal v Carla Suarez Navarro: +0.4±0.9 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 serveNowAnhelina winsv CarlaMatchupOptimal
Wide50%63%65%62.5%±6.850%
Body25%51%59%53.4%±9.59% ▼
T25%62%71%69.1%±7.641% ▲

Optimal v Carla Suarez Navarro: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.1 per 100 first serves in before the returner adjusts.

Carla Suarez Navarro serving

Deuce court

1st serveNowCarla winsv AnhelinaMatchupOptimal
Wide42%62%64%60.4%±6.842%
Body28%54%58%55.5%±7.613% ▼
T30%65%62%59.8%±8.145% ▲

Optimal v Anhelina Kalinina: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarla winsv AnhelinaMatchupOptimal
Wide23%63%64%61.0%±8.038% ▲
Body35%57%51%51.7%±8.419% ▼
T43%56%66%58.0%±7.743%

Optimal v Anhelina Kalinina: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.5 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.

Anhelina Kalinina returning

1st serve to the forehand

ReturnNowTourOwnv CarlaValue
FH through the middle38%+4.2−2.3+1.6+3.5±2.5
FH crosscourt26%+5.3+3.1+3.9+12.3±4.0
FH slice through the middle16%−6.7+0.5+0.2−6.0±2.6
FH down the line11%+1.5−1.3+0.7+0.9±4.4
FH slice crosscourt7%−6.6+1.3+0.4−5.0±2.4

Lean FH crosscourt: +9.3±3.2 per 100 returns v the current mix (312 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarlaValue
BH through the middle48%+6.0+1.3±0.0+7.3±2.3
BH crosscourt44%+7.7−0.2−3.5+4.0±3.3
BH down the line9%+2.2+3.6+0.5+6.2±4.4

Lean BH through the middle: +1.6±1.9 per 100 returns v the current mix (270 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv CarlaValue
FH crosscourt48%+0.5+0.4+1.2+2.2±4.4
FH through the middle35%−3.2+3.0−0.4−0.5±2.8
FH down the line17%−0.6+0.1+0.5±0.0±4.7

Lean FH crosscourt: +1.3±2.6 per 100 returns v the current mix (81 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarlaValue
BH crosscourt58%+1.5−1.0−2.5−2.0±3.4
BH through the middle37%−2.6+1.4−0.6−1.8±2.6
BH down the line6%−0.5+0.8+2.1+2.4±4.4

Lean BH through the middle: −0.1±2.6 per 100 returns v the current mix (120 returns charted, inside the 90% margin)

Carla Suarez Navarro returning

1st serve to the forehand

ReturnNowTourOwnv AnhelinaValue
FH through the middle50%+4.2+0.2+1.1+5.5±2.5
FH crosscourt18%+5.3−3.5+1.6+3.4±4.2
FH down the line13%+1.5+1.8+1.5+4.8±4.6
FH slice through the middle12%−6.7+0.1±0.0−6.6±2.4
FH slice crosscourt3%−6.6+1.5+0.9−4.2±2.3

Lean FH through the middle: +2.8±1.6 per 100 returns v the current mix (555 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnhelinaValue
BH through the middle37%+6.0+0.3+0.1+6.4±2.4
BH slice through the middle21%−6.2−0.2−1.2−7.6±2.4
BH crosscourt18%+7.7−1.5−1.4+4.8±3.4
BH down the line10%+2.2−3.4−0.9−2.1±4.7
BH slice crosscourt9%−4.2+0.6+0.4−3.2±2.7

Lean BH through the middle: +5.9±1.8 per 100 returns v the current mix (567 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnhelinaValue
FH through the middle48%−3.2+1.2−0.6−2.5±3.1
FH down the line27%−0.6−3.4+1.2−2.7±5.2
FH crosscourt21%+0.5±0.0−1.1−0.5±4.3
FH slice through the middle4%−15.2+0.2±0.0−15.0±1.1

Lean FH crosscourt: +2.2±4.0 per 100 returns v the current mix (120 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AnhelinaValue
BH through the middle37%−2.6+0.3±0.0−2.2±2.6
BH crosscourt27%+1.5−1.4−1.9−1.7±3.5
BH down the line10%−0.5+0.6+5.1+5.2±5.2
FH through the middle8%−2.7−0.6−0.6−3.8±2.6
FH inside-in7%+0.7+2.0−1.1+1.7±4.5

Lean BH down the line: +6.9±4.9 per 100 returns v the current mix (345 returns charted)

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.

Anhelina Kalinina

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+7.8±4.7+3.4+4.3
FH to their backhand · rally+5.0±5.0+2.1+2.9
FH to their backhand · serve +1+3.6±4.7−0.3+3.9
BH to their forehand · return+3.6±5.1+2.0+1.6
FH to the middle · serve +1+2.8±3.5+1.7+1.1
BH to the middle · return+2.7±3.5+1.3+1.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−6.7±4.4−3.4−3.3
BH to their backhand · serve +1−6.5±4.6−5.1−1.4
FH to their forehand · serve +1−5.5±5.2−4.0−1.5
BH to their forehand · serve +1−4.7±5.2−2.9−1.8
FH to their backhand · return +1−3.0±4.8−0.9−2.1

Carla Suarez Navarro

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+6.4±5.2+1.3+5.1
FH to the middle · serve +1+5.2±3.6+4.2+1.0
FH to their backhand · rally+4.2±5.0−1.8+5.9
FH to their backhand · return +1+4.1±4.7+0.2+3.9
BH to the middle · return+3.8±3.6+2.6+1.3
FH to their forehand · return +1+2.3±3.5+1.6+0.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−5.9±4.7−5.2−0.8
BH to their backhand · return−3.4±3.7−1.7−1.7
FH to the middle · rally−2.4±3.2−4.0+1.6
BH to the middle · rally−2.1±3.1−2.0±0.0
BH to their forehand · return +1−1.9±4.8−1.6−0.4

Against Carla Suarez Navarro-like opponents

Anhelina Kalinina vMatchesServe pts wonReturn pts won
All charted opponents–53.0%43.5%

Similar by tactical fingerprint: Emma Navarro, Emma Raducanu, Maria Sakkari, Paula Badosa, Varvara Gracheva, Anna Karolina Schmiedlova, Tereza Martincova, Andrea Petkovic, Dominika Cibulkova, Louisa Chirico. When two players have rarely met, their records against these lookalikes fill the gap.