RallyIQ

Game plan

Monica Niculescu v Daria Kasatkina

Every number combines what Monica Niculescu 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

Monica Niculescu wins, best of 3 54%90%: 19%–86% · best of 5: 55%
Serve points won 52.6% / 51.8% Monica / Daria · tour 58.1%
Strengths only, no similarity priors 58%serve 53.2% / 51.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Monica Niculescu's record against Daria Kasatkina's tactical lookalikes and in their charted head-to-heads (lookalikes: −9.3 on serve, −2.9 on return vs expectation (206 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

CareerMonicaDaria
Direction choice−0.30 ±0.13
better than 6%
+0.08 ±0.07
better than 70%
Shot selection−2.97 ±0.45
better than 0%
−0.29 ±0.11
better than 22%
Execution+2.03 ±0.57
better than 98%
+1.39 ±0.30
better than 96%
Points left on the table3.44 ±0.15
lower than 2%
2.36 ±0.08
lower than 79%

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.

Monica Niculescu serving

Deuce court

1st serveNowMonica winsv DariaMatchupOptimal
Wide41%58%63%55.0%±6.741%
Body38%52%52%45.9%±7.123% ▼
T21%63%67%61.6%±8.536% ▲

Optimal v Daria Kasatkina: +1.5±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +8.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMonica winsv DariaMatchupOptimal
Wide34%62%60%57.1%±8.119% ▼
Body30%55%56%55.3%±8.230%
T36%57%63%55.3%±7.451% ▲

Optimal v Daria Kasatkina: +0.2±1.0 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.

Daria Kasatkina serving

Deuce court

1st serveNowDaria winsv MonicaMatchupOptimal
Wide43%63%62%58.6%±6.454% ▲
Body25%57%54%52.9%±9.610% ▼
T32%65%68%65.1%±7.536% ▲

Optimal v Monica Niculescu: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaria winsv MonicaMatchupOptimal
Wide40%57%69%61.3%±7.440%
Body22%52%59%54.8%±9.57% ▼
T38%61%59%55.4%±7.753% ▲

Optimal v Monica Niculescu: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 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.

Monica Niculescu returning

1st serve to the forehand

ReturnNowTourOwnv DariaValue
FH slice through the middle45%−6.7+4.0−0.2−2.9±2.5
FH slice crosscourt31%−6.6+4.4−1.1−3.3±2.6
FH slice down the line13%−10.5+7.4−0.2−3.3±3.2
FH through the middle9%+4.2−1.1+1.8+4.8±2.4
FH crosscourt3%+5.3+1.3+1.9+8.5±2.8

Lean FH through the middle: +6.9±2.6 per 100 returns v the current mix (262 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DariaValue
BH through the middle49%+6.0+1.9+0.3+8.3±2.3
BH crosscourt21%+7.7±0.0+3.5+11.3±3.0
BH down the line11%+2.2+2.7+0.8+5.6±4.0
BH slice through the middle9%−6.2±0.0+2.1−4.2±2.4
BH slice crosscourt5%−4.2−0.3−1.1−5.5±2.7

Lean BH crosscourt: +5.3±2.7 per 100 returns v the current mix (187 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DariaValue
FH slice through the middle39%−15.2+2.6±0.0−12.6±1.8
FH slice crosscourt35%−14.9+2.5±0.0−12.4±2.0
BH through the middle11%−1.0−0.1+0.8−0.3±1.9
FH slice down the line11%−14.1−0.5±0.0−14.6±2.0
FH crosscourt5%+0.5+0.7+0.8+2.0±3.1

Lean FH slice crosscourt: −1.7±1.5 per 100 returns v the current mix (103 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DariaValue
BH through the middle57%−2.6+1.9+0.8+0.1±2.5
BH crosscourt22%+1.5+1.7+1.5+4.7±2.9
BH down the line21%−0.5−0.3−1.5−2.4±4.5

Lean BH crosscourt: +4.1±2.8 per 100 returns v the current mix (72 returns charted)

Daria Kasatkina returning

1st serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle39%+4.2+3.2+2.9+10.2±2.3
FH crosscourt21%+5.3+2.1+2.3+9.8±3.7
FH slice through the middle17%−6.7+0.9+0.8−4.9±2.2
FH down the line12%+1.5+6.0+6.3+13.8±4.5
FH slice crosscourt9%−6.6+1.7+1.6−3.4±2.6

Lean FH down the line: +7.6±4.2 per 100 returns v the current mix (1118 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle49%+6.0+2.8+0.4+9.3±2.2
BH crosscourt28%+7.7+2.8+2.2+12.7±3.2
BH down the line12%+2.2+3.5+3.2+8.9±4.5
BH slice through the middle6%−6.2+1.6+0.2−4.4±2.3
BH slice crosscourt3%−4.2−1.0+1.5−3.7±2.7

Lean BH crosscourt: +4.3±2.6 per 100 returns v the current mix (1078 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle46%−3.2+3.7+3.0+3.5±3.0
FH crosscourt30%+0.5+0.6+1.9+3.0±4.4
FH down the line21%−0.6+2.6+2.0+4.0±5.2
FH slice through the middle4%−15.2+1.3±0.0−13.9±1.3

Lean FH down the line: +1.3±4.6 per 100 returns v the current mix (226 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle35%−2.6+1.9−1.4−2.1±2.3
BH crosscourt31%+1.5+1.1−0.5+2.1±3.2
BH down the line15%−0.5+0.7+1.8+2.0±4.8
FH inside-out9%+1.4+0.4+2.0+3.7±4.3
FH through the middle7%−2.7+1.3+3.0+1.7±2.7
FH inside-in4%+0.7+3.3+1.9+5.9±4.5

Lean FH inside-in: +5.0±4.6 per 100 returns v the current mix (596 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 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.

Monica Niculescu

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+9.4±4.9+4.5+4.9
BH to their backhand · return +1+8.7±5.0+3.7+5.0
BH to the middle · serve +1+5.7±3.5+3.2+2.5
FH slice to their backhand · rally+5.4±5.0+7.0−1.6
BH to the middle · return+4.8±3.5+0.8+4.1
FH slice to their forehand · rally+4.7±5.0+5.0−0.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1+0.1±4.9+1.0−0.9
BH to their forehand · return+0.2±6.0+1.6−1.4
BH to their forehand · serve +1+0.6±6.5−0.4+1.0
FH slice to the middle · return+1.1±2.9+1.2−0.2
BH to the middle · rally+2.3±3.0+1.3+0.9

Daria Kasatkina

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+8.5±5.8+5.1+3.4
FH to the middle · return+8.4±3.7+3.9+4.5
FH to their forehand · return+7.0±5.6+5.0+2.0
BH to their backhand · return+6.4±4.9+3.7+2.7
BH to the middle · return+6.2±3.6+3.9+2.4
BH slice to their backhand · rally+4.1±3.9+3.1+1.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−6.2±4.2−0.9−5.3
FH to their backhand · rally−3.3±4.7+3.8−7.1
BH to the middle · serve +1−2.8±3.7+0.5−3.3
BH to their forehand · serve +1−1.9±6.4+4.1−6.1
FH to the middle · rally−1.6±3.4+3.5−5.1

Against Daria Kasatkina-like opponents

Monica Niculescu vMatchesServe pts wonReturn pts won
All charted opponents–52.0%43.9%
Players most similar to Daria Kasatkina2 40.0%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.