RallyIQ

Game plan

Alison Riske Amritraj v Karolina Muchova

Every number combines what Alison Riske Amritraj 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

Alison Riske Amritraj wins, best of 3 25%90%: 6%–57% · best of 5: 20%
Serve points won 59.4% / 64.8% Alison / Karolina · tour 58.1%
Strengths only, no similarity priors 25%serve 58.6% / 64.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Alison Riske Amritraj's record against Karolina Muchova's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.1 on serve, −6.1 on return vs expectation (671 points); head-to-head: +5.3 on serve, +2.3 on return vs expectation (345 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

CareerAlisonKarolina
Direction choice−0.11 ±0.09
better than 34%
−0.01 ±0.05
better than 52%
Shot selection+0.32 ±0.15
better than 80%
−0.17 ±0.09
better than 30%
Execution−0.38 ±0.51
better than 39%
+0.22 ±0.28
better than 70%
Points left on the table2.65 ±0.08
lower than 44%
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.

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.

Alison Riske Amritraj serving

Deuce court

1st serveNowAlison winsv KarolinaMatchupOptimal
Wide42%64%65%63.3%±5.445% ▲
Body17%51%58%51.0%±8.01% ▼
T42%60%69%61.1%±5.754% ▲

Optimal v Karolina Muchova: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlison winsv KarolinaMatchupOptimal
Wide42%68%66%68.1%±5.657% ▲
Body24%57%54%54.1%±7.89% ▼
T34%57%64%56.4%±6.334%

Optimal v Karolina Muchova: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.3 per 100 first serves in before the returner adjusts.

Karolina Muchova serving

Deuce court

1st serveNowKarolina winsv AlisonMatchupOptimal
Wide40%68%68%69.9%±5.440%
Body22%58%50%50.9%±7.57% ▼
T38%74%76%81.1%±4.253% ▲

Optimal v Alison Riske Amritraj: +2.6±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +11.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarolina winsv AlisonMatchupOptimal
Wide48%68%68%70.4%±5.563% ▲
Body14%57%56%56.2%±8.30% ▼
T39%67%66%68.7%±5.937% ▼

Optimal v Alison Riske Amritraj: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.6 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.

Alison Riske Amritraj returning

1st serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH through the middle53%+4.2−4.2−0.1−0.2±2.2
FH crosscourt23%+5.3−0.2−1.4+3.7±3.9
FH down the line13%+1.5+0.4−0.7+1.2±4.1
FH slice through the middle6%−6.7+0.6−1.7−7.8±2.3
FH slice crosscourt3%−6.6±0.0−2.5−9.1±2.5

Lean FH crosscourt: +3.7±3.2 per 100 returns v the current mix (352 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH through the middle49%+6.0+0.3+0.1+6.4±2.1
BH crosscourt26%+7.7−1.0+0.3+7.1±3.0
BH down the line17%+2.2−3.4+0.2−1.0±4.2
BH slice through the middle5%−6.2+0.2−1.1−7.2±2.3
BH slice down the line3%−12.5−2.7−0.9−16.0±3.2

Lean BH crosscourt: +3.2±2.5 per 100 returns v the current mix (322 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH through the middle54%−3.2−0.6+0.5−3.2±2.6
FH crosscourt31%+0.5+1.7−3.9−1.6±3.9
FH down the line14%−0.6+0.1−1.0−1.5±4.3

Lean FH down the line: +1.0±4.2 per 100 returns v the current mix (105 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH through the middle44%−2.6−1.0−0.7−4.2±2.3
BH crosscourt34%+1.5−0.2−1.3±0.0±3.1
BH down the line22%−0.5−0.5−2.0−3.0±4.9

Lean BH crosscourt: +2.5±2.5 per 100 returns v the current mix (202 returns charted, inside the 90% margin)

Karolina Muchova returning

1st serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle41%+4.2+1.1+0.4+5.6±2.1
FH slice through the middle18%−6.7+3.0+0.6−3.1±2.3
FH crosscourt15%+5.3−0.7−0.9+3.7±3.8
FH down the line14%+1.5−2.9−0.6−1.9±4.3
FH slice crosscourt9%−6.6+2.2+1.7−2.8±2.7

Lean FH through the middle: +4.2±1.6 per 100 returns v the current mix (1182 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlisonValue
BH through the middle46%+6.0−0.4+0.9+6.5±1.8
BH crosscourt20%+7.7+0.9+0.3+9.0±3.1
BH slice through the middle14%−6.2+0.2−0.5−6.6±2.4
BH down the line12%+2.2−1.2+0.7+1.7±4.3
BH slice crosscourt5%−4.2−0.8+0.7−4.2±2.9

Lean BH crosscourt: +5.4±2.7 per 100 returns v the current mix (1188 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle43%−3.2−1.4+1.1−3.5±2.9
FH crosscourt28%+0.5−0.4+1.9+2.1±4.4
FH down the line21%−0.6−1.9+0.2−2.3±5.2
FH slice through the middle5%−15.2+0.1+0.7−14.4±1.9
FH slice crosscourt3%−14.9+1.3±0.0−13.6±1.3

Lean FH crosscourt: +4.6±3.6 per 100 returns v the current mix (247 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlisonValue
BH through the middle40%−2.6+1.0−1.5−3.0±2.3
BH crosscourt31%+1.5−0.4+1.6+2.7±3.3
BH down the line20%−0.5−0.3−1.2−2.1±5.1
FH inside-in5%+0.7−1.9+1.9+0.8±4.7
FH through the middle3%−2.7+1.7+1.1+0.1±2.5

Lean BH crosscourt: +3.5±2.7 per 100 returns v the current mix (582 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.

Alison Riske Amritraj

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+3.2±4.3+4.4−1.2
BH to the middle · serve +1+3.1±3.4+1.0+2.1
BH to their backhand · serve +1+2.9±4.8+3.5−0.6
FH to their forehand · return +1+1.9±5.3+2.0−0.2
BH to their forehand · rally+1.4±5.7+1.6−0.1
FH to their forehand · rally+1.3±4.5+3.0−1.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return +1−9.4±6.0−2.8−6.6
FH to their forehand · return−8.5±5.6−0.4−8.1
FH to their backhand · rally−7.9±5.0−3.0−5.0
BH to their forehand · return−6.0±5.5−4.7−1.3
FH to the middle · serve +1−4.1±3.5−1.1−3.0

Karolina Muchova

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+7.7±5.3+2.3+5.4
BH to their backhand · rally+6.9±4.4+3.4+3.6
FH to the middle · return+5.9±3.7+2.5+3.4
FH to their forehand · serve +1+4.4±5.2+1.4+2.9
BH to their backhand · return+3.7±4.5+2.7+1.0
BH slice to the middle · rally+3.6±3.0+1.2+2.4

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−6.5±5.2−4.3−2.2
FH to their backhand · return +1−4.7±5.7−0.1−4.6
BH to their forehand · return +1−4.1±6.1−2.0−2.0
FH to their backhand · return−3.3±6.0−2.1−1.3
FH to their forehand · return−2.8±5.4−3.3+0.5

Against Karolina Muchova-like opponents

Alison Riske Amritraj vMatchesServe pts wonReturn pts won
All charted opponents–54.7%41.2%
Players most similar to Karolina Muchova4 56.4%34.8%
Karolina Muchova (charted head-to-head)2 59.9%41.3%

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