RallyIQ

Game plan

Zarina Diyas v Alison Riske Amritraj

Every number combines what Zarina Diyas does well with what Alison Riske Amritraj allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Zarina Diyas wins, best of 3 23%90%: 6%–54% · best of 5: 17%
Serve points won 50.5% / 56.2% Zarina / Alison · tour 56.4%
Strengths only, no similarity priors 26%serve 51.2% / 55.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Zarina Diyas's record against Alison Riske Amritraj's tactical lookalikes and in their charted head-to-heads (head-to-head: −19.3 on serve, −9.0 on return vs expectation (95 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

CareerZarinaAlison
Direction choice−0.41 ±0.25
better than 2%
−0.11 ±0.09
better than 34%
Shot selection−0.04 ±0.14
better than 43%
+0.32 ±0.15
better than 80%
Execution+0.12 ±0.88
better than 66%
−0.38 ±0.51
better than 39%

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.

Zarina Diyas serving

Deuce court

1st serveNowZarina winsv AlisonMatchupOptimal
Wide38%66%68%67.7%±8.950% ▲
Body28%54%50%47.2%±11.113% ▼
T35%61%76%69.9%±9.537% ▲

Optimal v Alison Riske Amritraj: +1.6±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +7.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowZarina winsv AlisonMatchupOptimal
Wide29%53%68%54.9%±11.629%
Body39%52%56%52.1%±10.724% ▼
T32%67%66%68.0%±10.247% ▲

Optimal v Alison Riske Amritraj: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.1 per 100 first serves in before the returner adjusts.

Alison Riske Amritraj serving

Deuce court

1st serveNowAlison winsv ZarinaMatchupOptimal
Wide42%64%68%66.7%±9.057% ▲
Body17%51%57%50.4%±12.91% ▼
T42%60%63%55.5%±11.242%

Optimal v Zarina Diyas: +0.8±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlison winsv ZarinaMatchupOptimal
Wide42%68%66%68.2%±10.357% ▲
Body24%57%53%53.1%±12.99% ▼
T34%57%65%57.8%±9.834%

Optimal v Zarina Diyas: +0.6±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.1 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.

Zarina Diyas returning

1st serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle52%+4.2+1.9+0.4+6.4±2.8
FH crosscourt27%+5.3+2.3−0.9+6.7±4.2
FH down the line21%+1.5−0.3−0.6+0.7±4.5

Lean FH crosscourt: +1.4±3.5 per 100 returns v the current mix (128 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AlisonValue
BH through the middle54%+6.0+1.3+0.9+8.3±2.5
BH down the line27%+2.2+0.4+0.7+3.3±4.3
BH crosscourt19%+7.7+1.2+0.3+9.3±3.2

Lean BH through the middle: +1.1±1.7 per 100 returns v the current mix (63 returns charted, inside the 90% margin)

Alison Riske Amritraj returning

1st serve to the forehand

ReturnNowTourOwnv ZarinaValue
FH through the middle53%+4.2−4.2+0.3+0.2±2.9
FH crosscourt23%+5.3−0.2+0.8+5.9±4.2
FH down the line13%+1.5+0.4+1.6+3.6±4.7
FH slice through the middle6%−6.7+0.6−0.7−6.8±2.0
FH slice crosscourt3%−6.6±0.0−0.6−7.2±1.9

Lean FH crosscourt: +4.8±3.6 per 100 returns v the current mix (352 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ZarinaValue
BH through the middle49%+6.0+0.3+3.3+9.6±2.7
BH crosscourt26%+7.7−1.0±0.0+6.8±3.5
BH down the line17%+2.2−3.4+4.0+2.7±4.4
BH slice through the middle5%−6.2+0.2−1.9−7.9±2.1
BH slice down the line3%−12.5−2.7+0.3−14.8±2.5

Lean BH through the middle: +3.6±1.8 per 100 returns v the current mix (322 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ZarinaValue
FH through the middle54%−3.2−0.6−0.1−3.9±3.1
FH crosscourt31%+0.5+1.7+2.3+4.6±4.1
FH down the line14%−0.6+0.1+2.1+1.7±4.7

Lean FH crosscourt: +5.0±3.4 per 100 returns v the current mix (105 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ZarinaValue
BH through the middle44%−2.6−1.0−1.0−4.5±2.7
BH crosscourt34%+1.5−0.2+0.1+1.4±3.5
BH down the line22%−0.5−0.5+1.3+0.3±4.5

Lean BH crosscourt: +2.9±2.8 per 100 returns v the current mix (202 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 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.

Zarina Diyas

Favour

ShotEdgeOwnTheirs
BH to the middle · return+3.4±3.3+2.1+1.3
FH to their forehand · rally+3.3±3.7+2.6+0.7
FH to the middle · return+2.3±3.5+2.3±0.0
BH to their backhand · rally+1.9±3.5+1.7+0.2
BH to the middle · serve +1+1.4±3.5+0.1+1.3
BH to their forehand · rally+1.2±6.0+2.4−1.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−8.6±5.6−6.3−2.3
FH to their backhand · rally−4.8±4.2−4.3−0.5
BH to the middle · rally−1.5±2.7−1.7+0.1
FH to the middle · rally−0.1±2.7−0.5+0.4
BH to their forehand · rally+1.2±6.0+2.4−1.1

Alison Riske Amritraj

Favour

ShotEdgeOwnTheirs
BH to the middle · return+5.6±3.1+0.2+5.4
FH to their forehand · rally+2.6±3.5−0.1+2.6
FH to their forehand · return +1+1.9±5.4+0.7+1.3
FH to their forehand · serve +1+1.7±5.6+0.7+0.9
FH to their backhand · rally+1.5±4.7−3.1+4.7
BH to the middle · rally+1.1±2.5−0.1+1.2

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−3.1±3.3−3.0−0.1
BH to their backhand · rally+0.8±3.7−0.1+0.9
FH to their backhand · return+0.9±6.5−2.8+3.7
FH to the middle · rally+1.0±3.0−0.4+1.4
BH to the middle · rally+1.1±2.5−0.1+1.2

Against Alison Riske Amritraj-like opponents

Zarina Diyas vMatchesServe pts wonReturn pts won
All charted opponents–51.7%43.2%
Alison Riske Amritraj (charted head-to-head)1 35.2%36.6%

Similar by tactical fingerprint: Karolina Pliskova, Belinda Bencic, Sorana Cirstea, Jaqueline Cristian, Shuai Zhang, Emma Raducanu, Victoria Mboko, Victoria Azarenka, Irina Camelia Begu, Garbine Muguruza. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head