RallyIQ

Game plan

Alison Riske Amritraj v Victoria Azarenka

Every number combines what Alison Riske Amritraj does well with what Victoria Azarenka 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 31%90%: 11%–58% · best of 5: 26%
Serve points won 53.5% / 57.4% Alison / Victoria · tour 56.3%
Strengths only, no similarity priors 28%serve 53.3% / 57.8%

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. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Victoria Azarenka's tactical lookalikes and in their charted head-to-heads (lookalikes: +2.4 on serve, +5.2 on return vs expectation (289 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

CareerAlisonVictoria
Direction choice−0.11 ±0.09
better than 34%
+0.06 ±0.05
better than 65%
Shot selection+0.32 ±0.15
better than 80%
+0.21 ±0.07
better than 67%
Execution−0.38 ±0.51
better than 39%
+0.96 ±0.29
better than 90%
Points left on the table2.65 ±0.08
lower than 44%
2.42 ±0.07
lower than 74%

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 VictoriaMatchupOptimal
Wide42%64%65%63.4%±5.357% ▲
Body17%51%56%49.1%±7.81% ▼
T42%60%66%58.7%±5.642%

Optimal v Victoria Azarenka: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlison winsv VictoriaMatchupOptimal
Wide42%68%69%70.5%±5.457% ▲
Body24%57%51%51.7%±7.515% ▼
T34%57%62%55.0%±6.028% ▼

Optimal v Victoria Azarenka: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +9.7 per 100 first serves in before the returner adjusts.

Victoria Azarenka serving

Deuce court

1st serveNowVictoria winsv AlisonMatchupOptimal
Wide40%65%68%66.2%±5.541%
Body18%58%50%50.8%±7.43% ▼
T41%68%76%75.8%±4.856% ▲

Optimal v Alison Riske Amritraj: +2.0±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +8.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVictoria winsv AlisonMatchupOptimal
Wide42%67%68%68.8%±5.657% ▲
Body21%57%56%57.2%±7.56% ▼
T37%60%66%61.4%±6.337%

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 +5.2 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 VictoriaValue
FH through the middle53%+4.2−4.2+1.3+1.2±2.1
FH crosscourt23%+5.3−0.2+1.0+6.2±3.5
FH down the line13%+1.5+0.4+0.7+2.6±4.0
FH slice through the middle6%−6.7+0.6+0.9−5.1±2.4
FH slice crosscourt3%−6.6±0.0+0.8−5.9±2.5

Lean FH crosscourt: +4.4±3.0 per 100 returns v the current mix (352 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VictoriaValue
BH through the middle49%+6.0+0.3+0.4+6.7±2.0
BH crosscourt26%+7.7−1.0−0.1+6.6±3.0
BH down the line17%+2.2−3.4+0.9−0.4±4.1
BH slice through the middle5%−6.2+0.2−1.5−7.5±2.2
BH slice down the line3%−12.5−2.7−2.5−17.6±3.2

Lean BH through the middle: +2.7±1.5 per 100 returns v the current mix (322 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv VictoriaValue
FH through the middle54%−3.2−0.6−0.2−3.9±2.6
FH crosscourt31%+0.5+1.7+1.2+3.5±3.9
FH down the line14%−0.6+0.1−0.3−0.7±4.4

Lean FH crosscourt: +4.6±3.1 per 100 returns v the current mix (105 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv VictoriaValue
BH through the middle44%−2.6−1.0−1.2−4.8±2.2
BH crosscourt34%+1.5−0.2+0.2+1.5±3.2
BH down the line22%−0.5−0.5−1.2−2.3±4.7

Lean BH crosscourt: +3.6±2.5 per 100 returns v the current mix (202 returns charted)

Victoria Azarenka returning

1st serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle48%+4.2+2.0+0.4+6.5±2.0
FH crosscourt24%+5.3+0.9−0.9+5.4±3.5
FH down the line21%+1.5+1.7−0.6+2.6±3.9
FH slice through the middle4%−6.7−0.9+0.6−7.0±2.5
FH slice down the line1%−10.5−0.2±0.0−10.7±2.3

Lean FH through the middle: +2.1±1.6 per 100 returns v the current mix (1610 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlisonValue
BH through the middle42%+6.0+1.0+0.9+8.0±1.9
BH crosscourt28%+7.7+3.2+0.3+11.2±3.0
BH slice through the middle12%−6.2−0.7−0.5−7.5±2.4
BH down the line10%+2.2±0.0+0.7+2.9±4.4
BH slice down the line4%−12.5−1.0−1.0−14.5±3.3

Lean BH crosscourt: +6.1±2.4 per 100 returns v the current mix (1134 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle37%−3.2−0.7+1.1−2.8±2.9
FH down the line31%−0.6+3.1+0.2+2.8±5.0
FH crosscourt31%+0.5+1.1+1.9+3.5±4.3
BH through the middle1%−1.0+0.4−1.5−2.1±1.8

Lean FH crosscourt: +2.6±3.5 per 100 returns v the current mix (392 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AlisonValue
BH crosscourt47%+1.5+0.4+1.6+3.5±3.1
BH through the middle37%−2.6+1.3−1.5−2.8±2.2
BH down the line14%−0.5+5.2−1.2+3.5±5.2
BH slice through the middle2%−11.7+0.7±0.0−11.0±1.3
FH through the middle1%−2.7−1.3+1.1−2.9±2.2

Lean BH crosscourt: +2.6±2.0 per 100 returns v the current mix (679 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.

Alison Riske Amritraj

Favour

ShotEdgeOwnTheirs
FH volley to their forehand · rally+4.9±5.7+1.8+3.1
BH to their backhand · serve +1+4.6±2.6+2.3+2.3
BH to their forehand · return +1+1.8±3.8−0.5+2.4
FH to their forehand · return+1.7±3.1+0.3+1.4
FH to their forehand · return +1+1.7±2.9+0.9+0.8
BH to their backhand · rally+1.5±1.7+0.7+0.7

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return−2.8±3.4−2.8±0.0
FH to the middle · rally−2.0±1.4−0.8−1.2
FH to their backhand · serve +1−1.9±2.8−3.0+1.2
FH to their backhand · return−1.8±3.5−2.3+0.4
BH to the middle · return +1−1.7±2.0−0.7−1.0

Victoria Azarenka

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+4.2±4.0+4.2±0.0
FH to the middle · return+3.4±1.7+2.5+1.0
BH slice to the middle · rally+3.2±2.0+1.2+2.0
FH to their forehand · serve +1+2.9±2.8+1.0+2.0
FH to their forehand · rally+2.9±1.7+1.8+1.0
BH to their forehand · return+2.8±3.5+2.6+0.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−2.3±3.3−0.7−1.6
BH to the middle · return +1−1.4±1.9−0.6−0.8
FH to their backhand · serve +1−1.3±2.8−0.4−0.9
BH to their backhand · return +1−0.9±2.6+1.4−2.3
BH to their backhand · serve +1−0.6±2.8+1.2−1.8

Against Victoria Azarenka-like opponents

Alison Riske Amritraj vMatchesServe pts wonReturn pts won
All charted opponents–54.7%41.2%
Players most similar to Victoria Azarenka2 60.1%47.3%

Similar by tactical fingerprint: Karolina Pliskova, Leylah Fernandez, Belinda Bencic, Elise Mertens, Sorana Cirstea, Jaqueline Cristian, Linda Fruhvirtova, Mona Barthel, Vera Zvonareva. When two players have rarely met, their records against these lookalikes fill the gap.