RallyIQ

Game plan

Victoria Azarenka v Kate Makarova

Every number combines what Victoria Azarenka does well with what Kate Makarova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Victoria Azarenka wins, best of 3 72%90%: 38%–93% · best of 5: 76%
Serve points won 61.5% / 57.0% Victoria / Kate · tour 58.1%
Strengths only, no similarity priors 78%serve 61.6% / 55.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Victoria Azarenka's record against Kate Makarova's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.5 on serve, −6.0 on return vs expectation (610 points); head-to-head: −0.2 on serve, −5.1 on return vs expectation (181 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

CareerVictoriaKate
Direction choice+0.06 ±0.05
better than 65%
−0.06 ±0.08
better than 43%
Shot selection+0.21 ±0.07
better than 67%
−0.02 ±0.17
better than 44%
Execution+0.96 ±0.29
better than 90%
−0.16 ±0.83
better than 54%
Points left on the table2.42 ±0.07
lower than 74%
2.73 ±0.18
lower than 29%

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.

Victoria Azarenka serving

Deuce court

1st serveNowVictoria winsv KateMatchupOptimal
Wide40%65%70%69.1%±6.941%
Body18%58%60%60.5%±8.83% ▼
T41%68%68%68.2%±6.756% ▲

Optimal v Kate Makarova: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVictoria winsv KateMatchupOptimal
Wide42%67%70%70.7%±6.757% ▲
Body21%57%50%51.7%±9.46% ▼
T37%60%67%62.7%±7.237%

Optimal v Kate Makarova: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.9 per 100 first serves in before the returner adjusts.

Kate Makarova serving

Deuce court

1st serveNowKate winsv VictoriaMatchupOptimal
Wide26%67%65%66.7%±8.241% ▲
Body24%55%56%53.5%±8.117% ▼
T50%62%66%60.5%±6.242% ▼

Optimal v Victoria Azarenka: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKate winsv VictoriaMatchupOptimal
Wide28%57%69%60.5%±7.528%
Body35%51%51%46.1%±7.519% ▼
T38%71%62%69.5%±6.753% ▲

Optimal v Victoria Azarenka: +1.0±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +10.6 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.

Victoria Azarenka returning

1st serve to the forehand

ReturnNowTourOwnv KateValue
FH through the middle48%+4.2+2.0−1.0+5.1±2.2
FH crosscourt24%+5.3+0.9+4.9+11.1±3.7
FH down the line21%+1.5+1.7−2.6+0.6±4.0
FH slice through the middle4%−6.7−0.9−1.6−9.2±2.2
FH slice down the line1%−10.5−0.2±0.0−10.7±2.3

Lean FH crosscourt: +6.5±3.1 per 100 returns v the current mix (1610 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KateValue
BH through the middle42%+6.0+1.0+0.7+7.8±2.1
BH crosscourt28%+7.7+3.2+0.7+11.6±3.2
BH slice through the middle12%−6.2−0.7−0.6−7.5±2.4
BH down the line10%+2.2±0.0−0.8+1.4±4.5
BH slice down the line4%−12.5−1.0−1.8−15.2±3.2

Lean BH crosscourt: +6.7±2.5 per 100 returns v the current mix (1134 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KateValue
FH through the middle37%−3.2−0.7−1.0−4.8±2.9
FH down the line31%−0.6+3.1−2.9−0.4±5.0
FH crosscourt31%+0.5+1.1+2.8+4.4±4.2
BH through the middle1%−1.0+0.4−1.7−2.3±1.9

Lean FH crosscourt: +5.0±3.5 per 100 returns v the current mix (392 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv KateValue
BH crosscourt47%+1.5+0.4−2.5−0.6±3.1
BH through the middle37%−2.6+1.3−1.7−3.0±2.4
BH down the line14%−0.5+5.2+1.0+5.8±5.1
BH slice through the middle2%−11.7+0.7±0.0−11.0±1.3
FH through the middle1%−2.7−1.3−1.0−4.9±2.2

Lean BH down the line: +6.6±4.7 per 100 returns v the current mix (679 returns charted)

Kate Makarova returning

1st serve to the forehand

ReturnNowTourOwnv VictoriaValue
FH through the middle50%+4.2−0.3+1.3+5.2±2.4
FH crosscourt20%+5.3−1.4+0.7+4.6±3.7
FH down the line15%+1.5−1.4+1.0+1.2±3.8
FH slice through the middle6%−6.7−0.5+0.9−6.3±2.2
FH slice crosscourt5%−6.6−0.8−0.7−8.1±1.9

Lean FH through the middle: +2.0±1.5 per 100 returns v the current mix (181 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VictoriaValue
BH through the middle52%+6.0+0.3+0.4+6.7±2.2
BH crosscourt36%+7.7−2.2+0.9+6.4±3.2
BH down the line6%+2.2+0.2−0.1+2.3±3.2
BH slice through the middle6%−6.2−1.6−1.5−9.3±2.1

Lean BH through the middle: +1.4±1.6 per 100 returns v the current mix (179 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv VictoriaValue
FH through the middle52%−3.2+1.4−0.2−1.9±2.7
FH down the line26%−0.6+0.5+1.2+1.1±4.4
FH crosscourt23%+0.5−0.4−0.3−0.1±3.9

Lean FH down the line: +1.8±3.7 per 100 returns v the current mix (93 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv VictoriaValue
BH crosscourt55%+1.5−0.8−1.2−0.6±3.2
BH through the middle45%−2.6−0.3−1.2−4.1±2.2

Lean BH crosscourt: +1.6±1.7 per 100 returns v the current mix (51 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.

Victoria Azarenka

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+9.9±5.9+1.7+8.2
BH to their forehand · serve +1+5.8±6.4+4.3+1.5
BH to their forehand · return +1+4.9±6.3+5.6−0.7
FH to the middle · return +1+4.9±3.7+2.5+2.4
BH to their backhand · return+4.9±4.9+1.9+2.9
FH to the middle · return+4.5±3.7+4.7−0.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−2.6±5.5−1.9−0.7
FH to their forehand · return−2.2±5.8+2.7−4.9
BH to the middle · serve +1−0.8±3.6−1.2+0.5
BH to the middle · rally−0.1±3.0+1.0−1.1
BH to the middle · return +1+0.1±3.6+1.1−1.1

Kate Makarova

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+7.6±5.0+2.6+5.0
BH to their forehand · return +1+7.3±6.4+4.3+2.9
BH to their forehand · rally+3.1±5.4+0.4+2.7
FH to the middle · return+3.0±3.6+0.1+2.9
FH to their backhand · serve +1+1.7±5.6−1.7+3.5
FH to their backhand · return +1+1.7±5.8−1.6+3.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−5.3±5.7−4.6−0.7
FH to their forehand · serve +1−4.5±5.5−6.3+1.7
BH to their forehand · return−2.0±5.8−1.1−0.8
BH to the middle · serve +1−1.6±3.4−0.4−1.2
FH to their forehand · rally−1.2±4.3−1.3+0.1

Against Kate Makarova-like opponents

Victoria Azarenka vMatchesServe pts wonReturn pts won
All charted opponents–56.5%45.4%
Players most similar to Kate Makarova4 55.3%38.4%
Kate Makarova (charted head-to-head)1 58.4%41.3%

Similar by tactical fingerprint: Alexandra Eala, Diana Shnaider, Ashlyn Krueger, Jaqueline Cristian, Katerina Siniakova, Venus Williams, Garbine Muguruza, Simona Halep, Vera Zvonareva. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head