RallyIQ

Game plan

Daria Kasatkina v Danielle Collins

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

Forecast

Daria Kasatkina wins, best of 3 4%90%: 1%–14% · best of 5: 1%
Serve points won 46.3% / 59.4% Daria / Danielle · tour 56.7%
Strengths only, no similarity priors 8%serve 47.7% / 58.3%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Daria Kasatkina's record against Danielle Collins's tactical lookalikes and in their charted head-to-heads (lookalikes: −5.8 on serve, −2.4 on return vs expectation (873 points); head-to-head: −2.9 on serve, −20.3 on return vs expectation (114 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

CareerDariaDanielle
Direction choice+0.08 ±0.07
better than 70%
+0.30 ±0.07
better than 95%
Shot selection−0.29 ±0.11
better than 22%
+0.11 ±0.08
better than 57%
Execution+1.39 ±0.30
better than 96%
−0.53 ±0.52
better than 32%
Points left on the table2.36 ±0.08
lower than 79%
2.16 ±0.12
lower 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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Daria Kasatkina +1.34, Danielle Collins +0.50. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Daria Kasatkina serving

Deuce court

1st serveNowDaria winsv DanielleMatchupOptimal
Wide43%63%66%62.1%±5.058% ▲
Body25%57%56%55.2%±5.810% ▼
T32%65%66%63.3%±5.832%

Optimal v Danielle Collins: +0.3±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 serveNowDaria winsv DanielleMatchupOptimal
Wide40%57%63%53.9%±5.640%
Body22%52%59%55.6%±6.47% ▼
T38%61%62%59.1%±5.553% ▲

Optimal v Danielle Collins: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.9 per 100 first serves in before the returner adjusts.

Danielle Collins serving

Deuce court

1st serveNowDanielle winsv DariaMatchupOptimal
Wide49%66%63%63.0%±4.746% ▼
Body12%62%52%56.3%±7.90% ▼
T39%71%67%69.7%±5.354% ▲

Optimal v Daria Kasatkina: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDanielle winsv DariaMatchupOptimal
Wide49%72%60%67.1%±5.257% ▲
Body17%57%56%57.2%±7.61% ▼
T35%66%63%64.7%±5.542% ▲

Optimal v Daria Kasatkina: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 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.

Daria Kasatkina returning

1st serve to the forehand

ReturnNowTourOwnv DanielleValue
FH through the middle39%+4.2+3.2−1.7+5.6±2.1
FH crosscourt21%+5.3+2.1+0.5+8.0±3.6
FH slice through the middle17%−6.7+0.9−1.6−7.4±2.3
FH down the line12%+1.5+6.0−3.7+3.8±4.2
FH slice crosscourt9%−6.6+1.7+1.3−3.6±2.7

Lean FH crosscourt: +5.5±3.1 per 100 returns v the current mix (1118 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DanielleValue
BH through the middle49%+6.0+2.8+1.8+10.6±1.9
BH crosscourt28%+7.7+2.8+0.4+10.9±2.8
BH down the line12%+2.2+3.5−2.3+3.4±4.3
BH slice through the middle6%−6.2+1.6−2.0−6.6±2.5
BH slice crosscourt3%−4.2−1.0−1.5−6.6±2.9

Lean BH crosscourt: +3.2±2.3 per 100 returns v the current mix (1078 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DanielleValue
FH through the middle46%−3.2+3.7−1.9−1.5±2.7
FH crosscourt30%+0.5+0.6−4.3−3.2±4.3
FH down the line21%−0.6+2.6−1.2+0.8±5.1
FH slice through the middle4%−15.2+1.3+0.3−13.6±2.1

Lean FH down the line: +2.8±4.4 per 100 returns v the current mix (226 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DanielleValue
BH through the middle35%−2.6+1.9−0.5−1.2±2.1
BH crosscourt31%+1.5+1.1−0.9+1.7±3.0
BH down the line15%−0.5+0.7+0.1+0.3±5.0
FH inside-out9%+1.4+0.4−1.2+0.5±4.2
FH through the middle7%−2.7+1.3−1.9−3.3±2.4

Lean BH crosscourt: +1.8±2.3 per 100 returns v the current mix (596 returns charted, inside the 90% margin)

Danielle Collins returning

1st serve to the forehand

ReturnNowTourOwnv DariaValue
FH through the middle42%+4.2−1.6+1.8+4.4±2.0
FH crosscourt29%+5.3−1.4+1.9+5.8±3.2
FH down the line15%+1.5+2.0+2.3+5.9±4.0
FH slice through the middle6%−6.7−1.7−0.2−8.6±2.6
FH slice crosscourt5%−6.6−2.1−1.1−9.8±2.6

Lean FH down the line: +2.9±3.7 per 100 returns v the current mix (607 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv DariaValue
BH crosscourt44%+7.7−0.4+3.5+10.8±2.5
BH through the middle37%+6.0+0.2+0.3+6.5±2.0
BH down the line11%+2.2−2.3+0.8+0.7±4.3
BH slice through the middle3%−6.2−0.1+2.1−4.3±2.4
BH slice crosscourt3%−4.2−2.2−1.1−7.4±2.8

Lean BH crosscourt: +4.2±1.6 per 100 returns v the current mix (494 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DariaValue
FH crosscourt51%+0.5+2.4+0.8+3.7±4.0
FH through the middle29%−3.2−2.2+1.8−3.6±2.8
FH down the line19%−0.6−0.5+6.7+5.6±4.9

Lean FH down the line: +3.7±4.5 per 100 returns v the current mix (160 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DariaValue
BH crosscourt52%+1.5+0.2+1.5+3.2±3.0
BH through the middle30%−2.6−3.1+0.8−4.9±2.4
BH down the line11%−0.5−4.9−1.5−7.0±4.8
FH inside-in4%+0.7−1.7+0.8−0.2±3.7
FH through the middle3%−2.7+0.3+1.8−0.6±2.0

Lean BH crosscourt: +3.8±1.7 per 100 returns v the current mix (270 returns charted)

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.

Daria Kasatkina

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · rally+5.8±3.5+3.8+2.0
FH to their backhand · return +1+4.9±4.3+0.8+4.1
BH to their forehand · serve +1+4.5±5.1+2.5+2.0
FH to their backhand · rally+4.0±2.8+2.2+1.8
BH to their backhand · return+3.3±2.8+3.7−0.4
BH to the middle · return+2.6±1.7+2.4+0.1

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return +1−6.4±5.8+2.9−9.3
FH to the middle · return +1−1.7±2.9+1.5−3.1
FH to their backhand · serve +1−1.2±3.4+1.6−2.8
FH to their backhand · return−0.6±3.9+2.6−3.2
FH to their forehand · rally−0.6±2.3+1.1−1.6

Danielle Collins

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+7.0±4.9+5.5+1.5
BH to their backhand · return +1+5.2±3.0+2.6+2.6
BH to their forehand · return +1+2.9±5.3+1.9+1.1
BH to their backhand · return+2.7±2.5−0.6+3.3
BH to their forehand · rally+2.2±3.6+1.5+0.7
FH to their backhand · return+1.9±4.5−2.1+4.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−2.5±2.8−3.2+0.7
FH to their backhand · serve +1−1.2±3.7−1.1−0.1
BH to the middle · return−1.0±1.9−1.7+0.7
BH to their forehand · return−0.8±4.5+0.1−0.9
BH to their backhand · rally−0.7±2.0−1.6+0.9

Against Danielle Collins-like opponents

Daria Kasatkina vMatchesServe pts wonReturn pts won
All charted opponents–52.8%45.4%
Players most similar to Danielle Collins7 47.3%40.3%
Danielle Collins (charted head-to-head)1 49.3%23.3%

Similar by tactical fingerprint: Naomi Osaka, Talia Gibson, Ekaterina Alexandrova, Sorana Cirstea, Aryna Sabalenka, Serena Williams, Dayana Yastremska, Veronika Kudermetova, Anett Kontaveit, Daniela Hantuchova. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head