RallyIQ

Game plan

Aryna Sabalenka v Mirra Andreeva

Every number combines what Aryna Sabalenka does well with what Mirra Andreeva allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Aryna Sabalenka wins, best of 3 67%90%: 49%–81% · best of 5: 70%
Serve points won 60.2% / 56.9% Aryna / Mirra · tour 56.7%
Strengths only, no similarity priors 60%serve 59.7% / 57.7%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Aryna Sabalenka's record against Mirra Andreeva's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.3 on serve, +3.8 on return vs expectation (361 points); head-to-head: −0.3 on serve, +2.6 on return vs expectation (479 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

CareerArynaMirra
Direction choice+0.36 ±0.05
better than 97%
+0.12 ±0.04
better than 75%
Shot selection+0.04 ±0.10
better than 49%
−0.43 ±0.08
better than 15%
Execution−0.05 ±0.37
better than 59%
+1.22 ±0.22
better than 95%
Points left on the table2.23 ±0.08
lower than 92%
2.42 ±0.06
lower than 73%

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: Aryna Sabalenka −0.95, Mirra Andreeva +0.68. 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.

Aryna Sabalenka serving

Deuce court

1st serveNowAryna winsv MirraMatchupOptimal
Wide51%71%60%64.9%±3.666% ▲
Body18%56%56%54.3%±6.03% ▼
T31%72%61%65.2%±4.831%

Optimal v Mirra Andreeva: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAryna winsv MirraMatchupOptimal
Wide56%68%64%65.7%±3.954% ▼
Body12%50%47%40.8%±6.80% ▼
T31%71%62%68.9%±4.546% ▲

Optimal v Mirra Andreeva: +1.2±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Mirra Andreeva serving

Deuce court

1st serveNowMirra winsv ArynaMatchupOptimal
Wide51%69%66%69.2%±3.549% ▼
Body13%59%62%63.7%±5.60% ▼
T36%73%74%78.5%±3.851% ▲

Optimal v Aryna Sabalenka: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMirra winsv ArynaMatchupOptimal
Wide33%67%66%67.1%±4.244% ▲
Body21%61%55%60.2%±5.76% ▼
T45%65%65%65.8%±4.450% ▲

Optimal v Aryna Sabalenka: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.1 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.

Aryna Sabalenka returning

1st serve to the forehand

ReturnNowTourOwnv MirraValue
FH through the middle35%+4.2−0.8+0.1+3.4±1.8
FH crosscourt35%+5.3+1.0−1.9+4.4±2.7
FH slice through the middle13%−6.7+1.2−0.9−6.4±2.1
FH down the line9%+1.5−2.1−1.6−2.2±3.8
FH slice crosscourt6%−6.6+0.4−0.6−6.8±2.6

Lean FH crosscourt: +3.3±1.9 per 100 returns v the current mix (863 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MirraValue
BH through the middle39%+6.0−0.8−0.6+4.6±1.7
BH crosscourt29%+7.7+2.7−0.8+9.6±2.5
BH slice through the middle12%−6.2−1.0+0.1−7.2±2.3
BH slice crosscourt9%−4.2−1.4−2.7−8.3±3.0
BH down the line8%+2.2−4.5−0.5−2.8±4.0

Lean BH crosscourt: +7.4±2.0 per 100 returns v the current mix (698 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MirraValue
FH crosscourt48%+0.5+1.4−2.9−1.0±3.8
FH through the middle31%−3.2−1.9+0.4−4.8±2.5
FH down the line18%−0.6−2.2−2.2−5.0±4.8
FH slice crosscourt3%−14.9+0.1+0.2−14.6±2.0

Lean FH crosscourt: +2.3±2.3 per 100 returns v the current mix (245 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MirraValue
BH crosscourt50%+1.5+0.3−0.1+1.7±2.5
BH through the middle32%−2.6+0.2+0.1−2.3±2.0
BH down the line10%−0.5−5.6−2.9−9.0±4.4
FH inside-out3%+1.4+1.0−2.2+0.1±3.5
FH inside-in3%+0.7+1.0−2.9−1.2±3.7

Lean BH crosscourt: +2.6±1.5 per 100 returns v the current mix (387 returns charted)

Mirra Andreeva returning

1st serve to the forehand

ReturnNowTourOwnv ArynaValue
FH through the middle34%+4.2+1.5−1.2+4.5±1.7
FH down the line24%+1.5+3.1−3.4+1.2±3.3
FH slice through the middle19%−6.7+0.1−0.4−7.0±1.9
FH slice crosscourt11%−6.6+0.6+1.5−4.5±2.4
FH crosscourt8%+5.3−3.2−2.1±0.0±3.4
BH inside-in1%+7.3−1.4+0.6+6.5±2.9

Lean BH inside-in: +6.8±3.1 per 100 returns v the current mix (2589 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ArynaValue
BH through the middle46%+6.0+1.9±0.0+7.9±1.5
BH crosscourt24%+7.7+0.2+0.6+8.5±2.4
BH down the line14%+2.2+3.5−0.1+5.6±3.7
BH slice through the middle7%−6.2−2.0−1.1−9.4±2.4
BH slice crosscourt6%−4.2−2.7−1.6−8.5±2.9

Lean BH crosscourt: +3.5±2.1 per 100 returns v the current mix (1925 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ArynaValue
FH through the middle37%−3.2+1.0−0.7−2.9±2.3
FH down the line34%−0.6±0.0−1.7−2.3±4.5
FH crosscourt15%+0.5−5.4−2.9−7.8±4.1
BH through the middle5%−1.0+0.5−1.0−1.4±2.1
BH inside-in3%+2.0+0.6−1.6+0.9±3.2

Lean BH inside-in: +4.8±3.7 per 100 returns v the current mix (743 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ArynaValue
BH through the middle37%−2.6+1.0−1.0−2.5±1.8
BH down the line31%−0.5+0.8+1.4+1.7±4.2
BH crosscourt25%+1.5−1.4−1.6−1.5±2.6
FH through the middle3%−2.7−1.2−0.7−4.6±2.4
FH inside-in2%+0.7+0.3−2.9−1.9±4.3

Lean BH down the line: +2.7±3.0 per 100 returns v the current mix (1071 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Aryna Sabalenka

Favour

ShotEdgeOwnTheirs
FH to the middle · return +1+1.5±2.9+0.8+0.8
BH slice to the middle · return+1.3±3.3−0.6+1.9
FH to their forehand · return+1.3±3.1+3.2−1.9
BH to their backhand · return +1+1.1±2.7−1.1+2.2
FH to their forehand · rally+0.7±1.9+2.0−1.3
BH to their backhand · rally+0.6±1.9+0.2+0.3

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−15.0±4.7−9.0−6.1
BH to their forehand · return−8.1±4.3−5.7−2.4
BH slice to their backhand · return−5.7±4.4−4.0−1.6
FH to their backhand · return−5.2±4.3−4.5−0.8
FH to the middle · serve +1−2.9±2.5−3.4+0.5

Mirra Andreeva

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+7.3±3.1+3.3+3.9
BH to their forehand · rally+5.2±3.6+4.3+0.9
BH to their forehand · return +1+4.6±5.1+2.5+2.1
FH slice to their forehand · return+3.2±3.4+2.1+1.1
FH to their forehand · return +1+3.1±3.5+1.8+1.3
BH slice to the middle · return +1+2.9±3.2+2.4+0.5

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−9.1±5.1−9.0±0.0
FH to their forehand · return−7.5±4.0−3.9−3.6
BH slice to the middle · return−6.0±3.3−3.3−2.7
FH slice to their backhand · rally−3.8±4.7−0.5−3.4
FH to their backhand · serve +1−3.7±3.0−0.7−3.0

Against Mirra Andreeva-like opponents

Aryna Sabalenka vMatchesServe pts wonReturn pts won
All charted opponents–61.0%43.4%
Players most similar to Mirra Andreeva3 65.1%47.6%
Mirra Andreeva (charted head-to-head)3 57.4%43.8%

Similar by tactical fingerprint: Belinda Bencic, Elise Mertens, Sorana Cirstea, Victoria Azarenka, Simona Halep, Svetlana Kuznetsova, Christina Mchale, Timea Bacsinszky, Agnieszka Radwanska, Elena Dementieva. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head