RallyIQ

Game plan

Svetlana Kuznetsova v Daria Saville

Every number combines what Svetlana Kuznetsova does well with what Daria Saville allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Svetlana Kuznetsova wins, best of 3 75%90%: 51%–91% · best of 5: 81%
Serve points won 57.0% / 51.8% Svetlana / Daria · tour 56.4%
Strengths only, no similarity priors 75%serve 57.0% / 51.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerSvetlanaDaria
Direction choice+0.24 ±0.09
better than 90%
+0.06 ±0.20
better than 67%
Shot selection+0.19 ±0.15
better than 64%
−0.41 ±0.34
better than 16%
Execution+0.37 ±0.49
better than 75%
+0.28 ±0.46
better than 71%
Points left on the table2.35 ±0.12
lower than 81%
2.68 ±0.22
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.

Svetlana Kuznetsova serving

Deuce court

1st serveNowSvetlana winsv DariaMatchupOptimal
Wide47%66%59%59.0%±7.555% ▲
Body12%55%56%53.7%±10.80% ▼
T40%61%68%62.0%±7.345% ▲

Optimal v Daria Saville: +0.2±0.8 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 serveNowSvetlana winsv DariaMatchupOptimal
Wide50%63%61%58.1%±7.247% ▼
Body12%56%60%60.2%±11.70% ▼
T38%59%68%63.7%±8.053% ▲

Optimal v Daria Saville: +0.2±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.2 per 100 first serves in before the returner adjusts.

Daria Saville serving

Deuce court

1st serveNowDaria winsv SvetlanaMatchupOptimal
Wide43%59%63%55.9%±7.327% ▼
Body21%55%64%61.9%±9.121%
T37%64%71%67.7%±7.252% ▲

Optimal v Svetlana Kuznetsova: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaria winsv SvetlanaMatchupOptimal
Wide56%62%63%60.1%±7.171% ▲
Body16%55%57%55.9%±10.51% ▼
T28%61%62%58.2%±8.528%

Optimal v Svetlana Kuznetsova: +0.3±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 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.

Svetlana Kuznetsova returning

1st serve to the forehand

ReturnNowTourOwnv DariaValue
FH through the middle44%+4.2+1.4+0.1+5.7±2.7
FH crosscourt27%+5.3+2.0+3.5+10.8±4.0
FH slice through the middle11%−6.7+1.2+1.2−4.4±2.5
FH down the line10%+1.5+2.3+0.8+4.7±4.7
FH slice crosscourt7%−6.6−0.3+0.4−6.6±2.3

Lean FH crosscourt: +6.0±3.2 per 100 returns v the current mix (597 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DariaValue
BH through the middle36%+6.0+1.7+0.2+7.9±2.4
BH crosscourt30%+7.7−2.6+0.9+6.0±3.2
BH slice through the middle13%−6.2+0.3−2.0−8.0±2.5
BH down the line11%+2.2+0.6+0.4+3.1±4.7
BH slice crosscourt6%−4.2+0.2+1.8−2.2±3.0

Lean BH through the middle: +4.5±1.9 per 100 returns v the current mix (541 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DariaValue
FH through the middle46%−3.2+2.0+0.6−0.6±3.1
FH crosscourt29%+0.5−0.1+1.3+1.7±4.5
FH down the line25%−0.6+3.8−1.9+1.3±5.2

Lean FH crosscourt: +1.2±3.7 per 100 returns v the current mix (129 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DariaValue
BH crosscourt38%+1.5+1.6+0.5+3.6±3.4
BH through the middle25%−2.6±0.0−0.5−3.1±2.7
BH down the line10%−0.5+4.1+0.9+4.4±4.9
FH through the middle10%−2.7+0.7+0.6−1.4±2.7
FH inside-in9%+0.7−6.1+1.3−4.0±4.7

Lean BH down the line: +4.0±4.7 per 100 returns v the current mix (437 returns charted, inside the 90% margin)

Daria Saville returning

1st serve to the forehand

ReturnNowTourOwnv SvetlanaValue
FH through the middle50%+4.2+1.4+1.0+6.6±2.6
FH crosscourt25%+5.3−0.2−0.6+4.5±4.1
FH down the line17%+1.5−1.5+1.1+1.2±4.3
FH slice through the middle5%−6.7+0.6+1.6−4.5±2.3
BH through the middle3%+5.2+0.7+1.3+7.3±1.9

Lean FH through the middle: +1.9±1.8 per 100 returns v the current mix (208 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SvetlanaValue
BH through the middle36%+6.0+1.9+1.3+9.2±2.4
BH slice through the middle21%−6.2−0.4−1.1−7.7±2.5
BH crosscourt17%+7.7−1.9+1.6+7.4±3.2
BH down the line12%+2.2+1.5+3.4+7.1±4.6
BH slice crosscourt12%−4.2−1.7+1.1−4.8±3.0

Lean BH through the middle: +6.3±1.8 per 100 returns v the current mix (273 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SvetlanaValue
FH down the line38%−0.6+2.3−3.9−2.2±4.9
FH through the middle38%−3.2−1.6+0.9−3.9±2.8
FH crosscourt25%+0.5−1.1±0.0−0.6±3.9

Lean FH down the line: +0.2±3.4 per 100 returns v the current mix (56 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SvetlanaValue
BH through the middle26%−2.6+0.1+1.1−1.4±2.6
FH inside-out23%+1.4+0.7−3.9−1.9±4.2
BH crosscourt20%+1.5+0.7+0.4+2.6±3.3
FH through the middle18%−2.7−0.7+0.9−2.5±2.5
BH down the line9%−0.5+0.6+2.6+2.7±4.7

Lean BH down the line: +3.1±4.6 per 100 returns v the current mix (180 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.

Svetlana Kuznetsova

Favour

ShotEdgeOwnTheirs
FH to the middle · return +1+5.2±3.6+1.4+3.8
FH to their forehand · return+4.9±4.8+0.1+4.8
BH to their backhand · return +1+3.8±4.0+2.0+1.8
BH to the middle · return+3.7±2.7+2.5+1.2
FH to their forehand · return +1+3.6±4.6+0.9+2.8
FH to their forehand · rally+3.1±2.9+1.2+1.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−3.7±5.0−0.9−2.8
FH to their backhand · serve +1−1.9±4.5−1.0−1.0
FH to the middle · serve +1−1.7±3.5−1.4−0.3
BH to the middle · serve +1−0.6±3.5+0.6−1.2
BH to the middle · rally+0.3±2.5+0.9−0.7

Daria Saville

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+6.2±4.5+3.3+2.8
FH to their forehand · return +1+6.0±4.8+5.4+0.6
BH to the middle · return+5.7±2.9+4.0+1.7
BH to their forehand · return+5.0±6.0±0.0+5.0
BH to their backhand · return+4.6±4.2+2.2+2.3
BH to the middle · rally+4.4±2.4+3.3+1.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−1.9±5.1−0.4−1.5
FH to their forehand · return−1.5±5.3−1.3−0.2
BH slice to the middle · return−0.4±3.6+0.6−1.0
BH to their forehand · rally±0.0±5.6−1.6+1.6
FH to their forehand · rally+0.2±2.8−0.6+0.8

Against Daria Saville-like opponents

Svetlana Kuznetsova vMatchesServe pts wonReturn pts won
All charted opponents–54.6%43.5%

Similar by tactical fingerprint: Cristina Bucsa, Tamara Zidansek, Marta Kostyuk, Leylah Fernandez, Daria Kasatkina, Nao Hibino, Mayar Sherif, Petra Martic, Kiki Bertens. When two players have rarely met, their records against these lookalikes fill the gap.