RallyIQ

Game plan

Zarina Diyas v Madison Brengle

Every number combines what Zarina Diyas does well with what Madison Brengle 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 32%90%: 5%–77% · best of 5: 28%
Serve points won 51.1% / 54.6% Zarina / Madison · tour 58.1%
Strengths only, no similarity priors 32%serve 51.1% / 54.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Madison Brengle's tactical lookalikes and in their charted head-to-heads. 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

CareerZarinaMadison
Direction choice−0.41 ±0.25
better than 2%
−0.26 ±0.16
better than 10%
Shot selection−0.04 ±0.14
better than 43%
−0.96 ±0.26
better than 4%
Execution+0.12 ±0.88
better than 66%
+1.35 ±0.51
better than 95%

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 MadisonMatchupOptimal
Wide38%66%62%61.7%±10.053% ▲
Body28%54%64%61.6%±11.714% ▼
T35%61%65%57.4%±12.133% ▼

Optimal v Madison Brengle: +0.7±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowZarina winsv MadisonMatchupOptimal
Wide29%53%68%54.9%±12.535% ▲
Body39%52%59%55.2%±12.124% ▼
T32%67%61%62.9%±11.641% ▲

Optimal v Madison Brengle: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Madison Brengle serving

Deuce court

1st serveNowMadison winsv ZarinaMatchupOptimal
Wide28%64%68%66.3%±10.443% ▲
Body48%56%57%55.9%±12.133% ▼
T25%59%63%53.9%±13.124%

Optimal v Zarina Diyas: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMadison winsv ZarinaMatchupOptimal
Wide37%59%66%59.8%±12.137%
Body47%56%53%52.7%±12.932% ▼
T16%67%65%67.2%±11.731% ▲

Optimal v Zarina Diyas: +1.0±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.6 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.

Zarina Diyas returning

1st serve to the forehand

ReturnNowTourOwnv MadisonValue
FH through the middle52%+4.2+1.9−0.3+5.7±3.0
FH crosscourt27%+5.3+2.3−2.9+4.7±4.3
FH down the line21%+1.5−0.3−2.0−0.7±4.6

Lean FH through the middle: +1.6±2.1 per 100 returns v the current mix (128 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MadisonValue
BH through the middle54%+6.0+1.3+1.7+9.0±2.7
BH down the line27%+2.2+0.4+7.3+9.9±4.4
BH crosscourt19%+7.7+1.2+1.8+10.8±3.3

Lean BH down the line: +0.3±3.6 per 100 returns v the current mix (63 returns charted, inside the 90% margin)

Madison Brengle returning

1st serve to the forehand

ReturnNowTourOwnv ZarinaValue
FH through the middle37%+4.2+2.8+0.3+7.3±3.1
FH slice through the middle28%−6.7+1.1−0.7−6.3±2.1
FH crosscourt14%+5.3+3.4+0.8+9.5±4.2
FH down the line12%+1.5+2.8+1.6+6.0±4.6
FH slice crosscourt9%−6.6+0.6−0.6−6.6±2.2

Lean FH crosscourt: +7.0±3.8 per 100 returns v the current mix (235 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ZarinaValue
BH through the middle43%+6.0+1.4+3.3+10.7±2.9
BH crosscourt25%+7.7±0.0±0.0+7.7±3.5
BH slice through the middle14%−6.2+0.8−1.9−7.3±2.2
BH down the line9%+2.2+2.2+4.0+8.4±4.0
BH slice crosscourt5%−4.2−0.8±0.0−5.0±1.5

Lean BH through the middle: +5.1±1.9 per 100 returns v the current mix (169 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ZarinaValue
FH through the middle56%−3.2+0.1−0.1−3.2±3.1
FH crosscourt22%+0.5+1.6+2.3+4.4±3.8
FH down the line22%−0.6+1.0+2.1+2.5±4.6

Lean FH through the middle: −2.9±1.9 per 100 returns v the current mix (64 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ZarinaValue
BH crosscourt55%+1.5+1.0+0.1+2.6±3.5
BH through the middle28%−2.6+1.2−1.0−2.4±2.7
BH down the line12%−0.5+1.3+1.3+2.0±3.8
BH slice through the middle5%−11.7−0.5±0.0−12.2±1.0

Lean BH crosscourt: +2.2±1.8 per 100 returns v the current mix (100 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.

Zarina Diyas

Favour

ShotEdgeOwnTheirs
BH to the middle · return+5.2±3.3+1.5+3.7
BH to their forehand · rally+4.0±6.6+3.5+0.6
FH to the middle · return+3.9±4.3+3.9+0.1
FH to their forehand · rally+3.4±4.9+2.4+1.0
BH to the middle · serve +1+1.3±3.4+0.4+0.9
BH to their backhand · rally−1.4±4.8+0.7−2.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−5.0±5.6−2.8−2.2
FH to the middle · rally−3.9±3.5−3.3−0.7
BH to the middle · rally−3.9±3.4−2.4−1.4
FH to their backhand · serve +1−3.1±6.0−5.6+2.5
BH to their backhand · rally−1.4±4.8+0.7−2.1

Madison Brengle

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+10.8±6.8+7.3+3.5
FH to the middle · return+4.9±4.1+3.0+1.9
FH to the middle · rally+4.5±3.7+3.4+1.1
BH to the middle · return+3.1±3.8+1.3+1.8
FH to their forehand · serve +1+1.5±5.3+2.2−0.7
FH to their backhand · rally+1.2±5.8−0.2+1.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally+0.1±4.9−2.7+2.8
FH to their forehand · return +1+0.3±6.0±0.0+0.2
FH to their forehand · rally+0.3±5.1+3.3−3.0
BH to the middle · rally+0.6±2.9+0.7−0.1
FH to their backhand · rally+1.2±5.8−0.2+1.4

Against Madison Brengle-like opponents

Zarina Diyas vMatchesServe pts wonReturn pts won
All charted opponents–51.7%43.2%

Similar by tactical fingerprint: Anna Blinkova, Viktorija Golubic, Emma Raducanu, Elina Avanesyan, Sara Errani, Caroline Wozniacki, Lesia Tsurenko, Alize Cornet, Kateryna Baindl. When two players have rarely met, their records against these lookalikes fill the gap.