RallyIQ

Game plan

Xiyu Wang v Marta Kostyuk

Every number combines what Xiyu Wang does well with what Marta Kostyuk allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Xiyu Wang wins, best of 3 30%90%: 12%–56% · best of 5: 26%
Serve points won 55.1% / 58.9% Xiyu / Marta · tour 56.4%
Strengths only, no similarity priors 29%serve 54.7% / 58.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Xiyu Wang's record against Marta Kostyuk's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.8 on serve, −0.9 on return vs expectation (226 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

CareerXiyuMarta
Direction choice−0.20 ±0.07
better than 16%
−0.06 ±0.05
better than 43%
Shot selection+0.20 ±0.25
better than 65%
+0.13 ±0.09
better than 60%
Execution−0.96 ±0.91
better than 19%
−0.34 ±0.29
better than 41%
Points left on the table3.04 ±0.21
lower than 9%
2.69 ±0.07
lower than 36%

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.

Xiyu Wang serving

Deuce court

1st serveNowXiyu winsv MartaMatchupOptimal
Wide31%64%63%61.7%±8.537% ▲
Body32%61%57%60.7%±8.117% ▼
T37%65%68%65.2%±7.546% ▲

Optimal v Marta Kostyuk: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowXiyu winsv MartaMatchupOptimal
Wide48%66%64%63.6%±6.863% ▲
Body24%59%58%60.2%±8.89% ▼
T28%68%61%65.2%±8.728%

Optimal v Marta Kostyuk: +0.3±1.0 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.

Marta Kostyuk serving

Deuce court

1st serveNowMarta winsv XiyuMatchupOptimal
Wide36%70%62%67.0%±7.051% ▲
Body24%60%59%61.3%±7.79% ▼
T40%72%67%71.1%±6.940%

Optimal v Xiyu Wang: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarta winsv XiyuMatchupOptimal
Wide47%73%70%76.6%±6.362% ▲
Body26%58%54%56.4%±8.511% ▼
T27%64%63%62.7%±7.927%

Optimal v Xiyu Wang: +1.4±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +9.0 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.

Xiyu Wang returning

1st serve to the forehand

ReturnNowTourOwnv MartaValue
FH through the middle66%+4.2+0.1+0.7+5.0±2.4
FH crosscourt13%+5.3+0.4−2.7+3.0±3.7
FH down the line13%+1.5+2.7−3.9+0.3±4.0
FH slice through the middle7%−6.7−0.1−0.7−7.6±2.2

Lean FH through the middle: +1.7±1.1 per 100 returns v the current mix (178 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MartaValue
BH through the middle52%+6.0+1.7−0.2+7.5±2.2
BH crosscourt27%+7.7+1.3−2.8+6.2±3.3
BH down the line13%+2.2−0.1−1.5+0.7±3.9
BH slice through the middle4%−6.2−0.6−2.3−9.1±2.1
BH slice crosscourt3%−4.2+0.3−1.6−5.5±2.5

Lean BH through the middle: +2.4±1.5 per 100 returns v the current mix (201 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MartaValue
FH through the middle63%−3.2−0.9+0.3−3.7±2.5
FH down the line26%−0.6+0.1−2.3−2.8±3.8
FH crosscourt12%+0.5+0.4−2.4−1.5±3.1

Lean FH through the middle: −0.5±1.4 per 100 returns v the current mix (43 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MartaValue
BH through the middle48%−2.6−1.3−0.1−4.0±2.4
BH crosscourt34%+1.5−2.6−1.3−2.4±3.4
BH down the line17%−0.5+0.4−2.8−3.0±4.0

Lean BH crosscourt: +0.9±2.6 per 100 returns v the current mix (58 returns charted, inside the 90% margin)

Marta Kostyuk returning

1st serve to the forehand

ReturnNowTourOwnv XiyuValue
FH through the middle41%+4.2+0.6−2.0+2.8±2.5
FH crosscourt19%+5.3+0.5−1.1+4.6±3.9
FH slice through the middle17%−6.7+1.4±0.0−5.3±2.3
FH down the line12%+1.5+4.8−1.5+4.8±4.3
FH slice crosscourt8%−6.6+0.9−0.2−5.9±2.7

Lean FH down the line: +3.8±4.0 per 100 returns v the current mix (1346 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv XiyuValue
BH through the middle52%+6.0−0.2−1.7+4.1±2.2
BH crosscourt29%+7.7−2.1+2.1+7.6±3.2
BH down the line10%+2.2−1.1−2.1−1.1±4.5
BH slice through the middle4%−6.2−0.1−1.3−7.6±2.5
BH slice crosscourt3%−4.2−0.7−0.6−5.4±2.4

Lean BH crosscourt: +4.0±2.6 per 100 returns v the current mix (969 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv XiyuValue
FH through the middle41%−3.2+1.5+1.3−0.4±2.9
FH crosscourt28%+0.5−1.0+0.1−0.3±4.3
FH down the line25%−0.6+0.7−3.9−3.8±5.1
FH slice through the middle4%−15.2+0.6−1.0−15.6±2.1
FH slice crosscourt2%−14.9+0.6+0.5−13.7±1.9

Lean FH crosscourt: +1.8±3.6 per 100 returns v the current mix (362 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv XiyuValue
BH through the middle46%−2.6−2.6+1.4−3.8±2.5
BH crosscourt30%+1.5−1.1−1.3−0.9±3.5
BH down the line19%−0.5+1.0−0.9−0.5±4.5
FH inside-out2%+1.4±0.0−3.9−2.6±3.8
FH through the middle1%−2.7−0.2+1.3−1.6±2.3

Lean BH down the line: +1.7±4.0 per 100 returns v the current mix (471 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 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.

Xiyu Wang

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+3.2±4.9+5.2−2.1
BH to the middle · return+2.6±2.7+1.2+1.4
BH to the middle · serve +1+1.4±3.2+0.7+0.6
BH to the middle · return +1+1.3±3.1−0.5+1.7
FH to the middle · return+0.1±2.6+0.3−0.2
BH to their forehand · serve +1−0.2±5.8+1.9−2.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−10.6±5.0−5.9−4.6
BH to their forehand · return +1−6.8±6.1−4.3−2.4
FH to their backhand · serve +1−5.0±4.6−4.9±0.0
FH to their forehand · rally−4.1±3.6−1.6−2.5
BH to the middle · rally−3.1±2.6−1.9−1.2

Marta Kostyuk

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+6.2±5.1+4.1+2.1
FH to the middle · return +1+4.3±3.3+2.2+2.1
BH to the middle · return +1+3.7±3.1+0.1+3.6
FH to their forehand · serve +1+3.6±4.5−1.0+4.6
FH to the middle · serve +1+3.0±3.0+2.1+1.0
BH to their forehand · rally+1.5±5.0−0.2+1.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−4.3±4.0+1.1−5.5
BH to the middle · serve +1−3.4±3.1+0.2−3.6
FH to their forehand · return−2.6±5.4+2.0−4.6
FH to their forehand · rally−2.4±3.9−0.5−1.8
FH to their backhand · return−1.9±5.3+0.7−2.5

Against Marta Kostyuk-like opponents

Xiyu Wang vMatchesServe pts wonReturn pts won
All charted opponents–58.7%43.8%
Players most similar to Marta Kostyuk1 63.9%41.2%

Similar by tactical fingerprint: Alexandra Eala, Diana Shnaider, Xin Yu Wang, Bianca Andreescu, Leylah Fernandez, Jasmine Paolini, Olga Danilovic, Kaja Juvan, Katie Boulter, Nao Hibino. When two players have rarely met, their records against these lookalikes fill the gap.