RallyIQ

Game plan

Daria Kasatkina v Magdalena Frech

Every number combines what Daria Kasatkina does well with what Magdalena Frech 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 46%90%: 14%–81% · best of 5: 45%
Serve points won 52.7% / 53.5% Daria / Magdalena · tour 58.1%
Strengths only, no similarity priors 46%serve 53.1% / 53.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Daria Kasatkina's record against Magdalena Frech's tactical lookalikes and in their charted head-to-heads (lookalikes: −3.9 on serve, −0.2 on return vs expectation (633 points); head-to-head: +8.8 on serve, +6.3 on return vs expectation (126 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

CareerDariaMagdalena
Direction choice+0.08 ±0.07
better than 70%
+0.14 ±0.09
better than 78%
Shot selection−0.29 ±0.11
better than 22%
−0.42 ±0.11
better than 15%
Execution+1.39 ±0.30
better than 96%
+1.36 ±0.49
better than 96%
Points left on the table2.36 ±0.08
lower than 79%
2.39 ±0.15
lower than 78%

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 +3.09, Magdalena Frech +2.16. 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 MagdalenaMatchupOptimal
Wide43%63%68%64.7%±6.054% ▲
Body25%57%57%56.5%±7.510% ▼
T32%65%71%68.4%±6.736% ▲

Optimal v Magdalena Frech: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaria winsv MagdalenaMatchupOptimal
Wide40%57%66%57.8%±6.540%
Body22%52%61%57.1%±7.87% ▼
T38%61%68%64.6%±6.753% ▲

Optimal v Magdalena Frech: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.4 per 100 first serves in before the returner adjusts.

Magdalena Frech serving

Deuce court

1st serveNowMagdalena winsv DariaMatchupOptimal
Wide37%62%63%59.1%±6.234% ▼
Body12%59%52%53.3%±9.60% ▼
T51%63%67%61.4%±6.166% ▲

Optimal v Daria Kasatkina: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMagdalena winsv DariaMatchupOptimal
Wide47%66%60%61.1%±6.462% ▲
Body13%48%56%47.7%±9.40% ▼
T40%56%63%53.8%±6.638% ▼

Optimal v Daria Kasatkina: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.7 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 MagdalenaValue
FH through the middle39%+4.2+3.2+2.3+9.7±2.3
FH crosscourt21%+5.3+2.1+2.0+9.4±3.8
FH slice through the middle17%−6.7+0.9+1.2−4.6±2.3
FH down the line12%+1.5+6.0+0.5+8.0±4.4
FH slice crosscourt9%−6.6+1.7−0.6−5.6±2.4

Lean FH through the middle: +4.5±1.7 per 100 returns v the current mix (1118 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MagdalenaValue
BH through the middle49%+6.0+2.8+0.6+9.5±2.1
BH crosscourt28%+7.7+2.8+1.5+12.1±3.1
BH down the line12%+2.2+3.5−0.9+4.8±4.5
BH slice through the middle6%−6.2+1.6−0.4−5.1±2.5
BH slice crosscourt3%−4.2−1.0+0.2−4.9±2.8

Lean BH crosscourt: +4.3±2.5 per 100 returns v the current mix (1078 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MagdalenaValue
FH through the middle46%−3.2+3.7−1.7−1.3±2.9
FH crosscourt30%+0.5+0.6+0.9+2.0±4.3
FH down the line21%−0.6+2.6−0.4+1.6±5.3
FH slice through the middle4%−15.2+1.3±0.0−13.9±1.3

Lean FH crosscourt: +2.2±3.5 per 100 returns v the current mix (226 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MagdalenaValue
BH through the middle35%−2.6+1.9+0.9+0.1±2.5
BH crosscourt31%+1.5+1.1−2.7−0.1±3.3
BH down the line15%−0.5+0.7+1.3+1.5±5.2
FH inside-out9%+1.4+0.4−0.4+1.3±4.3
FH through the middle7%−2.7+1.3−1.7−3.1±2.6
FH inside-in4%+0.7+3.3+0.9+4.9±4.4

Lean FH inside-in: +4.6±4.5 per 100 returns v the current mix (596 returns charted)

Magdalena Frech returning

1st serve to the forehand

ReturnNowTourOwnv DariaValue
FH through the middle39%+4.2+2.5+1.8+8.4±2.3
FH slice through the middle25%−6.7+1.5−0.2−5.4±2.5
FH down the line16%+1.5−0.6+2.3+3.2±4.2
FH crosscourt14%+5.3+0.1+1.9+7.3±3.6
FH slice down the line4%−10.5+1.5−0.2−9.2±2.9

Lean FH through the middle: +5.4±1.8 per 100 returns v the current mix (317 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DariaValue
BH through the middle41%+6.0+2.1+0.3+8.5±2.2
BH crosscourt27%+7.7+1.5+3.5+12.8±2.9
BH slice through the middle13%−6.2+1.2+2.1−3.0±2.5
BH down the line8%+2.2+2.1+0.8+5.0±4.1
BH slice crosscourt8%−4.2−0.9−1.1−6.2±2.9

Lean BH crosscourt: +6.5±2.4 per 100 returns v the current mix (300 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DariaValue
FH through the middle49%−3.2+1.1+1.8−0.3±2.8
FH crosscourt26%+0.5+0.1+0.8+1.4±3.8
FH down the line25%−0.6+1.8+6.7+7.9±4.6

Lean FH down the line: +5.7±3.8 per 100 returns v the current mix (68 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DariaValue
BH crosscourt37%+1.5+1.2+1.5+4.2±3.2
BH down the line34%−0.5+3.5−1.5+1.5±4.9
BH through the middle29%−2.6+1.5+0.8−0.2±2.5

Lean BH crosscourt: +2.2±2.7 per 100 returns v the current mix (139 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Daria Kasatkina

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+8.2±4.5+3.8+4.4
FH to their backhand · return+7.7±5.8+5.1+2.6
FH to their forehand · return+7.6±5.6+5.0+2.6
BH to the middle · return +1+6.8±3.4+2.7+4.1
BH to the middle · return+6.4±3.3+3.9+2.6
BH to their forehand · return+5.6±5.8+3.7+1.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−1.9±4.0+0.1−2.0
BH slice to their backhand · rally+0.3±3.9+3.1−2.8
FH to the middle · rally+1.6±3.3+3.5−2.0
FH to the middle · return+1.9±3.7+3.9−2.0
BH to their forehand · rally+2.0±5.5+2.6−0.7

Magdalena Frech

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+10.9±5.9+3.2+7.7
BH to their forehand · return +1+9.7±6.1+2.2+7.5
BH to the middle · return+8.3±3.5+4.3+4.1
BH to their backhand · return +1+7.1±4.7+2.1+5.0
FH to the middle · return+6.7±3.7+2.5+4.2
BH to their forehand · rally+5.9±5.5+3.2+2.7

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−0.9±5.8−0.1−0.8
FH to their backhand · serve +1−0.7±5.4−0.1−0.6
BH to their backhand · serve +1+0.4±4.8+1.4−0.9
FH to their backhand · rally+1.1±4.7−2.1+3.3
FH slice to the middle · return+1.7±3.1+1.9−0.2

Against Magdalena Frech-like opponents

Daria Kasatkina vMatchesServe pts wonReturn pts won
All charted opponents–52.8%45.4%
Players most similar to Magdalena Frech5 48.9%44.7%
Magdalena Frech (charted head-to-head)1 62.9%53.1%

Similar by tactical fingerprint: Elina Svitolina, Jaqueline Cristian, Victoria Azarenka, Linda Fruhvirtova, Caroline Wozniacki, Vera Zvonareva, Agnieszka Radwanska, Flavia Pennetta, Dinara Safina. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head