RallyIQ

Game plan

Oksana Selekhmeteva v Daria Kasatkina

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

Forecast

Oksana Selekhmeteva wins, best of 3 54%90%: 22%–83% · best of 5: 55%
Serve points won 52.8% / 52.1% Oksana / Daria · tour 56.3%
Strengths only, no similarity priors 55%serve 52.7% / 51.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Oksana Selekhmeteva's record against Daria Kasatkina's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.2 on serve, −7.5 on return vs expectation (167 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

CareerOksanaDaria
Direction choice−0.18 ±0.10
better than 20%
+0.08 ±0.07
better than 70%
Shot selection−1.25 ±0.40
better than 2%
−0.29 ±0.11
better than 22%
Execution−0.70 ±1.03
better than 28%
+1.39 ±0.30
better than 96%

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.

Oksana Selekhmeteva serving

Deuce court

1st serveNowOksana winsv DariaMatchupOptimal
Wide13%66%63%63.6%±12.328% ▲
Body25%56%52%49.8%±10.910% ▼
T62%61%67%59.9%±8.162%

Optimal v Daria Kasatkina: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowOksana winsv DariaMatchupOptimal
Wide61%63%60%58.3%±7.846% ▼
Body25%62%56%62.2%±10.825%
T14%74%63%72.2%±10.829% ▲

Optimal v Daria Kasatkina: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +11.0 per 100 first serves in before the returner adjusts.

Daria Kasatkina serving

Deuce court

1st serveNowDaria winsv OksanaMatchupOptimal
Wide43%63%63%59.9%±9.258% ▲
Body25%57%50%49.6%±11.310% ▼
T32%65%67%64.2%±10.532%

Optimal v Oksana Selekhmeteva: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaria winsv OksanaMatchupOptimal
Wide40%57%58%48.6%±10.224% ▼
Body22%52%61%57.5%±11.623%
T38%61%70%66.7%±10.353% ▲

Optimal v Oksana Selekhmeteva: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.2 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.

Oksana Selekhmeteva returning

1st serve to the forehand

ReturnNowTourOwnv DariaValue
FH crosscourt38%+5.3+2.5+2.3+10.2±3.7
FH through the middle30%+4.2−1.8+1.8+4.2±2.3
FH slice through the middle20%−6.7+0.9−0.2−6.0±2.3
FH slice crosscourt12%−6.6+0.2−0.2−6.6±2.2

Lean FH crosscourt: +7.0±2.4 per 100 returns v the current mix (60 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DariaValue
BH slice through the middle30%−6.2+1.0+2.1−3.2±2.4
BH through the middle29%+6.0+1.7+0.3+8.1±2.2
BH slice crosscourt21%−4.2+0.3+1.4−2.4±2.7
BH crosscourt20%+7.7+0.3+0.8+8.9±3.0

Lean BH crosscourt: +6.2±2.7 per 100 returns v the current mix (76 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DariaValue
BH through the middle67%−2.6−0.1+0.8−1.9±2.5
BH crosscourt19%+1.5−0.4−1.5−0.4±3.0
BH down the line14%−0.5−2.0+1.5−1.1±3.8

Lean BH through the middle: −0.4±1.1 per 100 returns v the current mix (64 returns charted, inside the 90% margin)

Daria Kasatkina returning

1st serve to the forehand

ReturnNowTourOwnv OksanaValue
FH through the middle39%+4.2+3.2−0.9+6.5±2.6
FH crosscourt21%+5.3+2.1−1.1+6.4±3.5
FH slice through the middle17%−6.7+0.9±0.0−5.8±1.5
FH down the line12%+1.5+6.0+2.5+10.0±4.4
FH slice crosscourt9%−6.6+1.7±0.0−4.9±1.9

Lean FH down the line: +6.7±4.1 per 100 returns v the current mix (1118 returns charted)

1st serve to the backhand

ReturnNowTourOwnv OksanaValue
BH through the middle49%+6.0+2.8+5.2+14.1±2.3
BH crosscourt28%+7.7+2.8+2.0+12.5±3.2
BH down the line12%+2.2+3.5−2.9+2.8±4.5
BH slice through the middle6%−6.2+1.6±0.0−4.6±1.8
BH slice crosscourt3%−4.2−1.0±0.0−5.1±2.1

Lean BH through the middle: +4.2±1.6 per 100 returns v the current mix (1078 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv OksanaValue
FH through the middle46%−3.2+3.7+0.7+1.2±2.8
FH crosscourt30%+0.5+0.6−1.3−0.1±3.8
FH down the line21%−0.6+2.6−3.1−1.1±5.2
FH slice through the middle4%−15.2+1.3±0.0−13.9±1.3

Lean FH through the middle: +1.4±2.2 per 100 returns v the current mix (226 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv OksanaValue
BH through the middle35%−2.6+1.9−0.6−1.3±2.5
BH crosscourt31%+1.5+1.1−1.2+1.4±3.0
BH down the line15%−0.5+0.7−1.5−1.3±5.0
FH inside-out9%+1.4+0.4−3.1−1.4±4.3
FH through the middle7%−2.7+1.3+0.7−0.7±2.5
FH inside-in4%+0.7+3.3−1.3+2.8±3.8

Lean FH inside-in: +3.1±4.0 per 100 returns v the current mix (596 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.

Oksana Selekhmeteva

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+2.5±2.9+1.4+1.1
FH to the middle · return+1.9±2.4−0.7+2.6
BH slice to the middle · rally+1.5±2.1+1.0+0.5
FH to the middle · rally+1.3±2.1+1.0+0.4
FH to the middle · serve +1+1.2±2.3+0.2+1.0
BH to the middle · return+0.1±2.2−1.2+1.4

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−1.8±2.9−1.5−0.3
FH to their backhand · serve +1−1.0±3.5−0.4−0.6
BH to the middle · return+0.1±2.2−1.2+1.4
FH to the middle · serve +1+1.2±2.3+0.2+1.0
FH to the middle · rally+1.3±2.1+1.0+0.4

Daria Kasatkina

Favour

ShotEdgeOwnTheirs
BH to the middle · return+7.8±2.0+2.7+5.1
FH to the middle · return+2.8±2.4+3.0−0.2
BH to their forehand · rally+2.6±3.8+3.4−0.7
FH to their forehand · return+2.5±3.8+3.3−0.7
FH to the middle · rally+1.8±2.1+2.5−0.7
BH to their backhand · return+0.5±3.0+3.4−3.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−4.8±3.5+0.5−5.3
FH to their forehand · rally−3.1±2.8+1.0−4.1
BH to their backhand · rally−2.5±2.7+2.1−4.7
FH to their backhand · rally−2.3±3.1+2.3−4.6
BH to the middle · rally−0.8±2.0+1.4−2.2

Against Daria Kasatkina-like opponents

Oksana Selekhmeteva vMatchesServe pts wonReturn pts won
All charted opponents–56.2%47.8%
Players most similar to Daria Kasatkina1 56.5%38.6%

Similar by tactical fingerprint: Marie Bouzkova, Emma Navarro, Jaqueline Cristian, Emma Raducanu, Nao Hibino, Linda Fruhvirtova, Caroline Wozniacki, Simona Halep, Svetlana Kuznetsova, Elena Dementieva. When two players have rarely met, their records against these lookalikes fill the gap.