RallyIQ

Game plan

Amanda Anisimova v Karolina Muchova

Every number combines what Amanda Anisimova does well with what Karolina Muchova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Amanda Anisimova wins, best of 3 48%90%: 14%–84% · best of 5: 47%
Serve points won 57.5% / 57.9% Amanda / Karolina · tour 55.1%
Strengths only, no similarity priors 48%serve 56.9% / 57.4%

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 Amanda Anisimova's record against Karolina Muchova's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.2 on serve, −1.5 on return vs expectation (1303 points); head-to-head: +3.8 on serve, −1.1 on return vs expectation (155 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

CareerAmandaKarolina
Direction choice+0.21 ±0.05
better than 87%
−0.01 ±0.05
better than 52%
Shot selection+0.22 ±0.06
better than 69%
−0.17 ±0.09
better than 30%
Execution−1.05 ±0.38
better than 17%
+0.22 ±0.28
better than 70%
Points left on the table2.27 ±0.06
lower than 88%
2.88 ±0.08
lower than 18%

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: Amanda Anisimova −2.53, Karolina Muchova −0.81. 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.

Amanda Anisimova serving

Deuce court

1st serveNowAmanda winsv KarolinaMatchupOptimal
Wide40%63%65%62.6%±4.140%
Body18%58%58%58.5%±5.73% ▼
T42%64%69%65.2%±4.257% ▲

Optimal v Karolina Muchova: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAmanda winsv KarolinaMatchupOptimal
Wide52%66%66%66.5%±3.953%
Body17%57%54%54.4%±6.31% ▼
T31%66%64%64.9%±4.746% ▲

Optimal v Karolina Muchova: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.5 per 100 first serves in before the returner adjusts.

Karolina Muchova serving

Deuce court

1st serveNowKarolina winsv AmandaMatchupOptimal
Wide40%68%64%66.7%±4.040%
Body22%58%57%57.5%±5.47% ▼
T38%74%69%75.6%±3.853% ▲

Optimal v Amanda Anisimova: +1.3±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +7.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarolina winsv AmandaMatchupOptimal
Wide48%68%68%70.3%±4.063% ▲
Body14%57%51%51.7%±6.70% ▼
T39%67%61%64.4%±4.437% ▼

Optimal v Amanda Anisimova: +1.1±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.9 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.

Amanda Anisimova returning

1st serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH through the middle46%+4.2+0.5−0.1+4.6±1.7
FH crosscourt28%+5.3−1.6−1.4+2.3±3.2
FH down the line21%+1.5+0.8−0.7+1.6±3.5
FH slice through the middle3%−6.7−2.6−1.7−11.0±2.4
FH slice down the line1%−10.5−1.2+2.0−9.7±3.2

Lean FH through the middle: +1.9±1.5 per 100 returns v the current mix (1188 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH through the middle39%+6.0−3.3+0.1+2.8±1.7
BH crosscourt33%+7.7−4.0+0.3+4.1±2.4
BH down the line14%+2.2−0.5+0.2+1.9±3.9
BH slice through the middle7%−6.2−1.9−1.1−9.3±2.5
BH slice crosscourt4%−4.2−1.3−2.1−7.5±3.0

Lean BH crosscourt: +2.7±1.8 per 100 returns v the current mix (967 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH through the middle36%−3.2−4.1+0.5−6.7±2.4
FH crosscourt32%+0.5−0.6−3.9−4.0±3.7
FH down the line31%−0.6+0.7−1.0−0.9±4.6

Lean FH down the line: +3.1±3.5 per 100 returns v the current mix (373 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH crosscourt52%+1.5−0.3−1.3−0.1±2.7
BH through the middle29%−2.6−3.9−0.7−7.2±2.2
BH down the line19%−0.5+1.5−2.0−1.0±4.9

Lean BH crosscourt: +2.2±1.7 per 100 returns v the current mix (410 returns charted)

Karolina Muchova returning

1st serve to the forehand

ReturnNowTourOwnv AmandaValue
FH through the middle41%+4.2+1.1+0.3+5.5±1.8
FH slice through the middle18%−6.7+3.0−0.4−4.1±2.1
FH crosscourt15%+5.3−0.7−0.9+3.7±3.5
FH down the line14%+1.5−2.9+1.9+0.6±4.0
FH slice crosscourt9%−6.6+2.2+0.2−4.2±2.7

Lean FH through the middle: +4.2±1.4 per 100 returns v the current mix (1182 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AmandaValue
BH through the middle46%+6.0−0.4+0.3+6.0±1.5
BH crosscourt20%+7.7+0.9−0.3+8.3±2.5
BH slice through the middle14%−6.2+0.2+0.7−5.3±2.3
BH down the line12%+2.2−1.2−1.7−0.7±3.8
BH slice crosscourt5%−4.2−0.8−0.1−5.0±3.0

Lean BH crosscourt: +5.3±2.2 per 100 returns v the current mix (1188 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AmandaValue
FH through the middle43%−3.2−1.4−1.6−6.2±2.5
FH crosscourt28%+0.5−0.4−1.8−1.6±4.1
FH down the line21%−0.6−1.9−6.7−9.2±4.9
FH slice through the middle5%−15.2+0.1+0.5−14.6±2.1
FH slice crosscourt3%−14.9+1.3−0.4−14.0±2.1

Lean FH crosscourt: +4.6±3.3 per 100 returns v the current mix (247 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AmandaValue
BH through the middle40%−2.6+1.0±0.0−1.5±1.9
BH crosscourt31%+1.5−0.4−1.5−0.4±2.8
BH down the line20%−0.5−0.3−5.7−6.5±4.7
FH inside-in5%+0.7−1.9−1.8−2.9±4.3
FH through the middle3%−2.7+1.7−1.6−2.6±2.1

Lean BH crosscourt: +1.9±2.3 per 100 returns v the current mix (582 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Amanda Anisimova

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+8.6±5.2+3.9+4.7
BH to their forehand · serve +1+3.2±5.5±0.0+3.2
FH to their backhand · return+2.1±4.6−0.5+2.6
BH to their forehand · rally+0.4±5.0+1.4−1.0
BH to their backhand · return+0.3±3.3−2.0+2.3
BH to their backhand · return +1+0.3±3.9−0.6+0.9

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−8.6±3.5−6.0−2.6
BH slice to their forehand · rally−7.5±4.9−5.2−2.3
FH to the middle · rally−7.3±2.8−6.8−0.5
FH to their forehand · serve +1−5.6±4.3−6.4+0.8
BH to the middle · return +1−5.6±3.0−6.0+0.5

Karolina Muchova

Favour

ShotEdgeOwnTheirs
FH slice to the middle · return +1+3.1±3.4+2.5+0.6
FH slice to the middle · return+2.6±3.1+3.4−0.8
FH slice to their forehand · return+2.5±3.3+2.8−0.4
FH slice to their forehand · rally+1.6±4.4+4.3−2.7
FH to their backhand · return+1.5±4.9+2.6−1.1
FH to the middle · serve +1+1.4±2.9+0.9+0.4

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−7.0±5.2+1.0−8.1
BH slice to their backhand · rally−6.3±3.5−1.8−4.6
FH to their forehand · return +1−5.7±4.5−3.2−2.5
FH to their backhand · return +1−5.0±4.8−2.0−3.0
BH to their forehand · return +1−5.0±5.9−3.8−1.2

Against Karolina Muchova-like opponents

Amanda Anisimova vMatchesServe pts wonReturn pts won
All charted opponents–57.6%44.8%
Players most similar to Karolina Muchova9 57.8%42.2%
Karolina Muchova (charted head-to-head)1 60.5%40.5%

Similar by tactical fingerprint: Cristina Bucsa, Karolina Pliskova, Bianca Andreescu, Marta Kostyuk, Leylah Fernandez, Olivia Gadecki, Petra Martic, Alison Van Uytvanck, R, Kiki Bertens. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head