RallyIQ

Game plan

Margarita Gasparyan v Maja Chwalinska

Every number combines what Margarita Gasparyan does well with what Maja Chwalinska allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Margarita Gasparyan wins, best of 3 13%90%: 2%–43% · best of 5: 8%
Serve points won 49.0% / 57.2% Margarita / Maja · tour 55.0%
Strengths only, no similarity priors 13%serve 49.0% / 57.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerMargaritaMaja
Direction choice+0.25 ±0.15
better than 91%
−0.08 ±0.06
better than 40%
Shot selection−0.26 ±0.23
better than 22%
−0.52 ±0.28
better than 11%
Execution+0.58 ±1.68
better than 81%
+2.12 ±0.53
better than 99%

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.

Margarita Gasparyan serving

Deuce court

1st serveNowMargarita winsv MajaMatchupOptimal
Wide40%68%58%59.5%±10.750% ▲
Body24%61%57%60.6%±12.69% ▼
T36%69%62%63.1%±12.041% ▲

Optimal v Maja Chwalinska: +0.1±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMargarita winsv MajaMatchupOptimal
Wide45%62%59%54.4%±12.744%
Body14%54%53%50.5%±14.50% ▼
T41%67%58%60.6%±11.456% ▲

Optimal v Maja Chwalinska: +0.7±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Maja Chwalinska serving

Deuce court

1st serveNowMaja winsv MargaritaMatchupOptimal
Wide26%62%67%62.8%±11.638% ▲
Body28%55%63%61.0%±12.813% ▼
T46%65%63%60.4%±11.249% ▲

Optimal v Margarita Gasparyan: +0.4±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMaja winsv MargaritaMatchupOptimal
Wide53%60%58%52.4%±11.452%
Body22%53%57%53.6%±13.67% ▼
T26%67%61%63.4%±12.241% ▲

Optimal v Margarita Gasparyan: +0.9±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.9 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.

Margarita Gasparyan returning

1st serve to the forehand

ReturnNowTourOwnv MajaValue
FH through the middle46%+4.2+1.4+0.2+5.8±3.1
FH down the line38%+1.5+5.2+3.2+9.9±4.7
FH crosscourt16%+5.3−1.2+2.7+6.7±4.1

Lean FH down the line: +2.4±3.3 per 100 returns v the current mix (94 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MajaValue
BH slice through the middle29%−6.2±0.0+0.6−5.6±2.1
BH slice crosscourt28%−4.2+0.1±0.0−4.0±2.0
BH through the middle19%+6.0+2.0+2.1+10.1±2.5
BH down the line9%+2.2+2.0+2.7+6.9±4.0
BH slice down the line9%−12.5+2.1±0.0−10.4±1.8

Lean BH through the middle: +10.8±2.3 per 100 returns v the current mix (86 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MajaValue
BH through the middle49%−2.6+1.9+1.4+0.7±2.7
BH down the line29%−0.5−0.5−1.4−2.4±4.4
BH crosscourt22%+1.5±0.0−0.1+1.4±3.2

Lean BH through the middle: +0.8±2.0 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

Maja Chwalinska returning

1st serve to the forehand

ReturnNowTourOwnv MargaritaValue
FH through the middle41%+4.2+3.2+2.6+10.0±3.2
FH crosscourt21%+5.3+3.3+0.6+9.2±4.1
FH slice through the middle17%−6.7+1.6±0.0−5.1±2.1
FH down the line14%+1.5+1.1+1.3+3.9±4.2
FH slice crosscourt7%−6.6+1.5±0.0−5.2±1.4

Lean FH through the middle: +4.7±2.2 per 100 returns v the current mix (111 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MargaritaValue
BH through the middle43%+6.0+1.2+0.9+8.0±2.9
BH crosscourt33%+7.7+2.4+2.3+12.4±3.4
BH down the line16%+2.2+3.6−0.4+5.4±4.5
BH slice through the middle3%−6.2−0.5+0.1−6.6±1.9
BH slice crosscourt3%−4.2+0.1±0.0−4.1±1.3

Lean BH crosscourt: +4.6±2.7 per 100 returns v the current mix (236 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MargaritaValue
BH through the middle31%−2.6+1.6+1.1+0.1±2.6
BH crosscourt29%+1.5±0.0−0.2+1.3±3.1
FH through the middle18%−2.7−1.1+1.6−2.3±2.5
BH down the line11%−0.5−1.3±0.0−1.8±2.9
FH inside-in5%+0.7+0.5+1.0+2.2±3.7

Lean BH crosscourt: +1.2±2.4 per 100 returns v the current mix (110 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 on clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Margarita Gasparyan

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+7.1±5.3+3.4+3.6
BH to the middle · return+5.1±2.8+1.3+3.8
FH to the middle · return+2.8±3.3+2.6+0.1
FH to their backhand · rally+0.9±3.5+0.2+0.7
FH to their backhand · serve +1+0.9±4.3−1.1+1.9
BH to the middle · rally+0.7±2.6+0.3+0.3

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−2.1±4.5−1.1−1.1
BH to their backhand · rally−1.0±3.5+0.5−1.4
FH to their forehand · rally−0.1±3.6+0.7−0.8
BH to the middle · rally+0.7±2.6+0.3+0.3
FH to their backhand · serve +1+0.9±4.3−1.1+1.9

Maja Chwalinska

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+7.8±3.6+4.8+3.0
BH to the middle · return+5.4±3.0+3.5+1.9
FH to their forehand · rally+4.9±3.6+4.1+0.7
FH to their backhand · rally+3.6±3.8+1.6+2.0
BH to the middle · rally+2.1±2.8+2.8−0.8
FH to their forehand · serve +1+1.8±5.2+2.0−0.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−2.9±4.5−1.9−1.0
FH to their forehand · serve +1+1.8±5.2+2.0−0.2
BH to the middle · rally+2.1±2.8+2.8−0.8
FH to their backhand · rally+3.6±3.8+1.6+2.0
FH to their forehand · rally+4.9±3.6+4.1+0.7

Against Maja Chwalinska-like opponents

Margarita Gasparyan vMatchesServe pts wonReturn pts won
All charted opponents–56.1%43.9%

Similar by tactical fingerprint: Magdalena Frech, Sara Bejlek, Kaja Juvan, Tiantsoa Sarah Rakotomanga Rajaonah, Sara Errani, Angelique Kerber, Brenda Fruhvirtova, Martina Trevisan, Kateryna Baindl, Agnieszka Radwanska. When two players have rarely met, their records against these lookalikes fill the gap.