RallyIQ

Game plan

Belinda Bencic v Anna Kalinskaya

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

Forecast

Belinda Bencic wins, best of 3 63%90%: 26%–91% · best of 5: 67%
Serve points won 63.3% / 60.6% Belinda / Anna · tour 57.7%
Strengths only, no similarity priors 66%serve 63.0% / 59.8%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Belinda Bencic's record against Anna Kalinskaya's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.0 on serve, −2.7 on return vs expectation (1185 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

CareerBelindaAnna
Direction choice+0.11 ±0.04
better than 74%
+0.14 ±0.08
better than 79%
Shot selection+0.12 ±0.07
better than 58%
−0.13 ±0.12
better than 33%
Execution+0.91 ±0.34
better than 89%
+0.51 ±0.40
better than 79%
Points left on the table2.41 ±0.06
lower than 75%
2.31 ±0.13
lower than 85%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Belinda Bencic +1.28, Anna Kalinskaya +0.89. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Belinda Bencic serving

Deuce court

1st serveNowBelinda winsv AnnaMatchupOptimal
Wide50%66%67%67.2%±4.350%
Body18%65%54%62.1%±6.43% ▼
T32%71%70%72.7%±5.147% ▲

Optimal v Anna Kalinskaya: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBelinda winsv AnnaMatchupOptimal
Wide42%70%66%71.0%±4.741% ▼
Body14%63%53%60.1%±7.70% ▼
T44%69%67%70.8%±4.759% ▲

Optimal v Anna Kalinskaya: +0.9±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.7 per 100 first serves in before the returner adjusts.

Anna Kalinskaya serving

Deuce court

1st serveNowAnna winsv BelindaMatchupOptimal
Wide49%68%67%69.2%±4.264% ▲
Body23%56%55%54.4%±6.17% ▼
T28%63%72%67.7%±5.329%

Optimal v Belinda Bencic: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnna winsv BelindaMatchupOptimal
Wide47%63%69%66.3%±4.862% ▲
Body18%54%53%50.8%±7.02% ▼
T36%62%67%64.3%±5.036%

Optimal v Belinda Bencic: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.5 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.

Belinda Bencic returning

1st serve to the forehand

ReturnNowTourOwnv AnnaValue
FH through the middle32%+4.2±0.0+0.1+4.2±2.0
FH slice through the middle26%−6.7−0.4+0.6−6.5±2.2
FH crosscourt18%+5.3+0.9−1.5+4.7±3.5
FH down the line13%+1.5+2.7−1.5+2.7±4.0
FH slice crosscourt9%−6.6−0.2+2.3−4.5±2.5

Lean FH crosscourt: +4.5±3.1 per 100 returns v the current mix (1174 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnnaValue
BH through the middle47%+6.0+0.5−0.3+6.2±1.8
BH crosscourt34%+7.7−2.0+2.2+7.9±2.8
BH down the line9%+2.2+1.2+1.1+4.4±4.4
BH slice through the middle5%−6.2±0.0+1.3−5.0±2.6
BH slice crosscourt4%−4.2−1.8−0.5−6.5±3.0

Lean BH crosscourt: +2.6±2.0 per 100 returns v the current mix (857 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnnaValue
FH through the middle44%−3.2+0.6−1.0−3.6±2.8
FH crosscourt25%+0.5−2.7−5.6−7.8±4.4
FH down the line23%−0.6+3.2−5.5−2.9±5.2
FH slice through the middle5%−15.2+0.2−0.6−15.6±2.0
FH slice crosscourt3%−14.9+0.3±0.0−14.6±1.5

Lean FH down the line: +2.5±4.3 per 100 returns v the current mix (383 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AnnaValue
BH crosscourt44%+1.5+2.8+0.2+4.4±2.9
BH through the middle41%−2.6−0.3−0.2−3.0±2.0
BH down the line14%−0.5+5.1−1.4+3.2±5.0
FH through the middle1%−2.7+0.3−1.0−3.4±2.1

Lean BH crosscourt: +3.3±2.0 per 100 returns v the current mix (525 returns charted)

Anna Kalinskaya returning

1st serve to the forehand

ReturnNowTourOwnv BelindaValue
FH through the middle39%+4.2+1.0+1.2+6.4±2.0
FH crosscourt19%+5.3+3.7+1.7+10.6±3.4
FH slice through the middle16%−6.7−1.0−0.9−8.6±2.4
FH slice crosscourt13%−6.6+0.5−0.5−6.6±2.8
FH down the line10%+1.5−0.6−4.7−3.7±4.1

Lean FH crosscourt: +9.1±3.0 per 100 returns v the current mix (634 returns charted)

1st serve to the backhand

ReturnNowTourOwnv BelindaValue
BH through the middle45%+6.0−0.4−0.8+4.8±1.9
BH crosscourt32%+7.7−1.1−2.5+4.1±2.9
BH down the line13%+2.2−1.2−2.4−1.4±4.2
BH slice crosscourt5%−4.2−1.6−2.8−8.5±3.0
BH slice through the middle4%−6.2−0.8−0.5−7.5±2.3

Lean BH through the middle: +2.4±1.5 per 100 returns v the current mix (547 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BelindaValue
FH through the middle44%−3.2+0.3+0.9−2.0±2.6
FH crosscourt36%+0.5+2.0+4.1+6.6±3.8
FH down the line14%−0.6−2.6−2.8−5.9±4.7
FH slice through the middle6%−15.2+0.2±0.0−15.0±1.3

Lean FH crosscourt: +6.9±2.8 per 100 returns v the current mix (152 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv BelindaValue
BH crosscourt47%+1.5−0.3+0.3+1.6±3.0
BH through the middle37%−2.6+0.2−0.6−3.0±2.2
BH down the line13%−0.5−3.0+1.9−1.6±4.8
FH inside-in2%+0.7−0.6+4.1+4.3±3.2

Lean BH crosscourt: +2.1±1.9 per 100 returns v the current mix (321 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.

Belinda Bencic

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+9.1±5.7+6.8+2.3
FH to their backhand · return +1+7.4±5.6+2.3+5.1
FH to their forehand · rally+4.9±4.3+4.1+0.8
BH to their backhand · return+2.2±4.3+0.8+1.4
BH to the middle · return +1+1.7±3.4+1.4+0.3
BH to the middle · rally+1.7±3.0+0.6+1.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−6.3±5.6−1.8−4.6
FH to their backhand · return−4.6±5.7−0.8−3.8
FH to the middle · rally−3.7±3.2+0.1−3.8
BH to their forehand · return +1−3.5±5.9−2.4−1.1
FH to their backhand · rally−2.5±4.9+0.7−3.2

Anna Kalinskaya

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+9.9±5.0+5.4+4.6
FH to their backhand · serve +1+6.9±5.3+4.7+2.2
FH to their backhand · return +1+5.3±5.7+6.7−1.4
FH to their backhand · rally+3.9±4.9+0.8+3.0
FH to their forehand · return+3.1±5.3+0.1+3.0
BH to their backhand · rally+2.4±4.0+0.6+1.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−9.0±5.8−2.9−6.1
BH slice to their backhand · rally−6.6±3.4−5.3−1.3
BH to the middle · return−5.6±3.2−2.4−3.2
BH to their forehand · return−5.5±5.6−3.2−2.3
BH to the middle · return +1−5.1±3.4−2.8−2.3

Against Anna Kalinskaya-like opponents

Belinda Bencic vMatchesServe pts wonReturn pts won
All charted opponents–59.6%43.7%
Players most similar to Anna Kalinskaya8 58.7%37.7%

Similar by tactical fingerprint: Anastasia Potapova, Karolina Pliskova, Iga Swiatek, Sorana Cirstea, Emma Navarro, Emma Raducanu, Shelby Rogers, Kim Clijsters, Johanna Konta. When two players have rarely met, their records against these lookalikes fill the gap.