RallyIQ

Game plan

Elsa Jacquemot v Zarina Diyas

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

Forecast

Elsa Jacquemot wins, best of 3 47%90%: 14%–83% · best of 5: 47%
Serve points won 55.2% / 55.7% Elsa / Zarina · tour 56.3%
Strengths only, no similarity priors 47%serve 55.2% / 55.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Elsa Jacquemot's record against Zarina Diyas'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

CareerElsaZarina
Direction choice+0.03 ±0.09
better than 59%
−0.41 ±0.25
better than 2%
Shot selection−0.54 ±0.62
better than 10%
−0.04 ±0.14
better than 43%
Execution+1.04 ±0.85
better than 93%
+0.12 ±0.88
better than 66%

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.

Elsa Jacquemot serving

Deuce court

1st serveNowElsa winsv ZarinaMatchupOptimal
Wide52%60%68%63.0%±10.851% ▼
Body14%57%57%57.2%±15.60% ▼
T34%72%63%68.0%±13.249% ▲

Optimal v Zarina Diyas: +0.7±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowElsa winsv ZarinaMatchupOptimal
Wide47%74%66%74.1%±11.050% ▲
Body20%58%53%54.8%±15.65% ▼
T33%63%65%63.2%±11.845% ▲

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.

Zarina Diyas serving

Deuce court

1st serveNowZarina winsv ElsaMatchupOptimal
Wide38%66%71%70.9%±10.553% ▲
Body28%54%53%50.5%±12.413% ▼
T35%61%69%61.8%±13.634%

Optimal v Elsa Jacquemot: +1.0±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowZarina winsv ElsaMatchupOptimal
Wide29%53%66%52.8%±14.029%
Body39%52%49%45.4%±12.524% ▼
T32%67%64%66.4%±12.547% ▲

Optimal v Elsa Jacquemot: +1.2±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +12.2 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.

Elsa Jacquemot returning

1st serve to the forehand

ReturnNowTourOwnv ZarinaValue
FH through the middle41%+4.2+0.8+0.3+5.3±3.1
FH down the line34%+1.5+3.7+1.6+6.9±4.7
FH slice through the middle13%−6.7−0.5−0.7−8.0±1.8
FH crosscourt11%+5.3+1.0+0.8+7.1±3.7

Lean FH down the line: +2.6±3.3 per 100 returns v the current mix (90 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ZarinaValue
BH through the middle44%+6.0+2.5+3.3+11.8±2.9
BH crosscourt25%+7.7+2.7±0.0+10.5±3.3
BH slice through the middle17%−6.2+0.4−1.9−7.7±2.0
BH down the line14%+2.2+0.7+4.0+6.8±3.8

Lean BH through the middle: +4.3±1.9 per 100 returns v the current mix (72 returns charted)

Zarina Diyas returning

1st serve to the forehand

ReturnNowTourOwnv ElsaValue
FH through the middle52%+4.2+1.9+2.2+8.2±3.2
FH crosscourt27%+5.3+2.3+0.2+7.8±4.3
FH down the line21%+1.5−0.3−4.0−2.7±4.3

Lean FH through the middle: +2.4±2.1 per 100 returns v the current mix (128 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ElsaValue
BH through the middle54%+6.0+1.3−2.0+5.3±2.9
BH down the line27%+2.2+0.4−2.4+0.1±4.0
BH crosscourt19%+7.7+1.2−0.5+8.4±3.2

Lean BH through the middle: +0.8±1.8 per 100 returns v the current mix (63 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.

Elsa Jacquemot

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+6.0±4.5+3.2+2.7
BH to the middle · return+5.2±2.8+2.2+3.0
FH to their backhand · rally+4.4±4.0+1.0+3.4
BH to their backhand · rally+4.2±3.3+3.0+1.2
BH to the middle · rally+1.5±2.4+1.6−0.1
FH to their forehand · rally+0.9±3.7−0.2+1.1

Avoid

ShotEdgeOwnTheirs
FH to the middle · return+0.8±3.0+0.4+0.4
FH to the middle · rally+0.9±2.7−0.1+1.0
FH to their forehand · rally+0.9±3.7−0.2+1.1
BH to the middle · rally+1.5±2.4+1.6−0.1
BH to their backhand · rally+4.2±3.3+3.0+1.2

Zarina Diyas

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+5.4±4.9+2.2+3.3
FH to their forehand · rally+5.2±3.6+2.1+3.1
FH to the middle · return+4.5±2.9+2.7+1.8
BH to their backhand · rally+1.9±3.2+1.1+0.8
FH to their backhand · rally−0.4±3.9−3.1+2.6
BH to the middle · rally−1.1±2.3−1.5+0.4

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−3.2±2.6−1.4−1.7
FH to their backhand · serve +1−2.2±4.4−4.6+2.4
BH to the middle · rally−1.1±2.3−1.5+0.4
FH to their backhand · rally−0.4±3.9−3.1+2.6
BH to their backhand · rally+1.9±3.2+1.1+0.8

Against Zarina Diyas-like opponents

Elsa Jacquemot vMatchesServe pts wonReturn pts won
All charted opponents–55.6%42.7%

Similar by tactical fingerprint: Coco Gauff, Viktorija Golubic, Daria Kasatkina, Emma Navarro, Jaqueline Cristian, Victoria Azarenka, Caroline Wozniacki, Kateryna Baindl, Lauren Davis, Alison Riske Amritraj. When two players have rarely met, their records against these lookalikes fill the gap.