RallyIQ

Game plan

Anna Kalinskaya v Kim Clijsters

Every number combines what Anna Kalinskaya does well with what Kim Clijsters allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Anna Kalinskaya wins, best of 3 41%90%: 17%–70% · best of 5: 39%
Serve points won 55.3% / 57.0% Anna / Kim · tour 56.3%
Strengths only, no similarity priors 40%serve 54.9% / 56.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Anna Kalinskaya's record against Kim Clijsters's tactical lookalikes and in their charted head-to-heads (lookalikes: +3.5 on serve, −1.8 on return vs expectation (384 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

CareerAnnaKim
Direction choice+0.14 ±0.08
better than 79%
+0.44 ±0.06
better than 98%
Shot selection−0.13 ±0.12
better than 33%
−0.25 ±0.09
better than 24%
Execution+0.51 ±0.40
better than 79%
+0.31 ±0.39
better than 73%
Points left on the table2.31 ±0.13
lower than 85%
2.06 ±0.09
lower than 98%

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.

Anna Kalinskaya serving

Deuce court

1st serveNowAnna winsv KimMatchupOptimal
Wide49%68%64%66.4%±4.864% ▲
Body23%56%56%54.8%±7.317% ▼
T28%63%64%58.6%±6.119% ▼

Optimal v Kim Clijsters: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnna winsv KimMatchupOptimal
Wide47%63%62%58.6%±5.756% ▲
Body18%54%52%49.6%±8.02% ▼
T36%62%61%58.0%±5.442% ▲

Optimal v Kim Clijsters: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.

Kim Clijsters serving

Deuce court

1st serveNowKim winsv AnnaMatchupOptimal
Wide58%67%67%68.5%±4.453% ▼
Body9%60%54%57.0%±8.20% ▼
T32%70%70%72.1%±5.547% ▲

Optimal v Anna Kalinskaya: +1.2±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKim winsv AnnaMatchupOptimal
Wide43%66%66%67.2%±5.158% ▲
Body12%56%53%52.6%±8.50% ▼
T44%61%67%62.9%±5.642% ▼

Optimal v Anna Kalinskaya: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 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.

Anna Kalinskaya returning

1st serve to the forehand

ReturnNowTourOwnv KimValue
FH through the middle39%+4.2+1.0−0.4+4.8±2.1
FH crosscourt19%+5.3+3.7−1.9+7.1±3.6
FH slice through the middle16%−6.7−1.0+2.4−5.3±2.5
FH slice crosscourt13%−6.6+0.5+0.5−5.7±2.7
FH down the line10%+1.5−0.6+0.3+1.2±4.1

Lean FH crosscourt: +5.6±3.1 per 100 returns v the current mix (634 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KimValue
BH through the middle45%+6.0−0.4−0.8+4.8±2.1
BH crosscourt32%+7.7−1.1−2.9+3.7±2.9
BH down the line13%+2.2−1.2−0.9+0.1±4.5
BH slice crosscourt5%−4.2−1.6−0.5−6.2±3.0
BH slice through the middle4%−6.2−0.8+1.7−5.3±2.4

Lean BH through the middle: +2.1±1.6 per 100 returns v the current mix (547 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KimValue
FH through the middle44%−3.2+0.3−1.3−4.2±2.7
FH crosscourt36%+0.5+2.0−0.5+2.0±4.1
FH down the line14%−0.6−2.6−0.5−3.6±4.6
FH slice through the middle6%−15.2+0.2+0.1−14.9±1.7

Lean FH crosscourt: +4.6±3.0 per 100 returns v the current mix (152 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv KimValue
BH crosscourt47%+1.5−0.3+0.2+1.4±3.2
BH through the middle37%−2.6+0.2−0.4−2.8±2.4
BH down the line13%−0.5−3.0+2.5−1.1±5.2
FH inside-in2%+0.7−0.6−0.5−0.3±3.5

Lean BH crosscourt: +1.9±2.1 per 100 returns v the current mix (321 returns charted, inside the 90% margin)

Kim Clijsters returning

1st serve to the forehand

ReturnNowTourOwnv AnnaValue
FH through the middle38%+4.2+0.9+0.1+5.1±2.0
FH crosscourt26%+5.3+0.8−1.5+4.6±3.5
FH down the line16%+1.5+3.0−1.5+3.0±4.0
FH slice through the middle11%−6.7+0.3+0.6−5.8±2.4
FH slice crosscourt6%−6.6+2.4+2.3−2.0±2.6

Lean FH through the middle: +2.5±1.7 per 100 returns v the current mix (965 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnnaValue
BH through the middle42%+6.0−0.5−0.3+5.3±1.9
BH crosscourt33%+7.7−1.9+2.2+8.0±2.9
BH slice through the middle11%−6.2−1.0+1.3−5.9±2.5
BH down the line7%+2.2−2.5+1.1+0.7±4.4
BH slice crosscourt5%−4.2−1.5−0.5−6.2±3.0

Lean BH crosscourt: +4.5±2.1 per 100 returns v the current mix (707 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnnaValue
FH crosscourt37%+0.5−1.1−5.6−6.2±4.3
FH through the middle29%−3.2+0.6−1.0−3.6±3.0
FH down the line21%−0.6−0.4−5.5−6.5±5.2
BH through the middle6%−1.0+0.3−0.2−0.9±1.9
FH slice through the middle4%−15.2+0.9−0.6−14.9±1.8

Lean BH through the middle: +4.7±2.8 per 100 returns v the current mix (311 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AnnaValue
BH crosscourt51%+1.5+0.2+0.2+1.8±2.8
BH through the middle35%−2.6−0.2−0.2−2.9±2.1
BH down the line12%−0.5+0.8−1.4−1.2±5.0
BH slice through the middle1%−11.7±0.0±0.0−11.6±1.2
FH inside-out1%+1.4±0.0−5.5−4.1±3.5

Lean BH crosscourt: +2.3±1.7 per 100 returns v the current mix (555 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.

Anna Kalinskaya

Favour

ShotEdgeOwnTheirs
BH slice to the middle · rally+2.7±2.1+0.9+1.7
FH to their backhand · return +1+2.3±3.5+3.7−1.4
FH to the middle · rally+2.3±1.6+1.8+0.5
FH to the middle · return +1+2.2±2.3−0.1+2.3
FH to their backhand · serve +1+2.0±2.7+0.5+1.5
FH to their forehand · return +1+1.9±2.9+2.4−0.4

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−5.7±2.7−5.3−0.4
FH to their forehand · serve +1−3.2±2.7−0.5−2.6
BH to their backhand · serve +1−2.7±2.3−1.3−1.4
BH to their forehand · serve +1−2.7±3.7+2.3−4.9
BH to their backhand · return +1−2.4±2.5+0.2−2.5

Kim Clijsters

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.1±2.8+0.3+2.8
FH to the middle · return+2.6±1.7+1.8+0.8
BH to their backhand · serve +1+1.9±2.4+1.0+0.9
BH to their forehand · serve +1+1.8±4.1+1.9±0.0
FH to the middle · return +1+1.7±2.3+2.0−0.2
FH slice to the middle · return+1.3±2.4+0.8+0.5

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−2.9±2.1−2.3−0.6
FH to their backhand · return−2.2±3.3+0.6−2.8
FH to their backhand · return +1−2.2±3.4−3.1+1.0
FH to their forehand · serve +1−1.7±2.6−2.0+0.2
FH to their forehand · return−1.6±3.2+0.8−2.3

Against Kim Clijsters-like opponents

Anna Kalinskaya vMatchesServe pts wonReturn pts won
All charted opponents–56.9%43.3%
Players most similar to Kim Clijsters3 55.6%37.2%

Similar by tactical fingerprint: Anastasia Potapova, Karolina Pliskova, Iga Swiatek, Belinda Bencic, Svetlana Kuznetsova, Maria Sharapova, Ana Ivanovic, Elena Dementieva, Jelena Dokic. When two players have rarely met, their records against these lookalikes fill the gap.