RallyIQ

Game plan

Laura Pigossi v Daria Kasatkina

Every number combines what Laura Pigossi 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

Laura Pigossi wins, best of 3 40%90%: 12%–75% · best of 5: 37%
Serve points won 52.5% / 54.4% Laura / Daria · tour 56.3%
Strengths only, no similarity priors 40%serve 52.5% / 54.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerLauraDaria
Direction choice−0.29 ±0.23
better than 8%
+0.08 ±0.07
better than 70%
Shot selection+0.32 ±0.33
better than 81%
−0.29 ±0.11
better than 22%
Execution−0.70 ±2.24
better than 27%
+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.

Laura Pigossi serving

Deuce court

1st serveNowLaura winsv DariaMatchupOptimal
Wide38%63%63%59.8%±9.340% ▲
Body44%53%52%47.5%±9.129% ▼
T18%61%67%59.3%±11.531% ▲

Optimal v Daria Kasatkina: +1.2±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLaura winsv DariaMatchupOptimal
Wide27%62%60%56.6%±10.527%
Body45%59%56%58.4%±9.530% ▼
T28%66%63%64.4%±10.343% ▲

Optimal v Daria Kasatkina: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Daria Kasatkina serving

Deuce court

1st serveNowDaria winsv LauraMatchupOptimal
Wide43%63%65%62.0%±10.256% ▲
Body25%57%56%55.7%±12.210% ▼
T32%65%66%62.5%±9.334% ▲

Optimal v Laura Pigossi: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaria winsv LauraMatchupOptimal
Wide40%57%56%47.2%±9.640%
Body22%52%54%50.1%±12.57% ▼
T38%61%67%63.5%±11.053% ▲

Optimal v Laura Pigossi: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.4 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.

Laura Pigossi returning

1st serve to the forehand

ReturnNowTourOwnv DariaValue
FH through the middle52%+4.2+0.3+1.8+6.2±2.4
FH crosscourt36%+5.3+3.2+1.9+10.4±3.3
FH down the line11%+1.5−1.8+2.3+2.1±3.1

Lean FH crosscourt: +3.1±2.4 per 100 returns v the current mix (44 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DariaValue
BH through the middle52%+6.0−0.6+0.3+5.7±2.3
BH crosscourt35%+7.7+2.9+3.5+14.1±2.9
BH down the line12%+2.2−1.9+0.8+1.1±3.6

Lean BH crosscourt: +6.0±2.3 per 100 returns v the current mix (82 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DariaValue
BH crosscourt28%+1.5+0.2+1.5+3.2±2.8
BH through the middle28%−2.6−0.6+0.8−2.4±2.2
FH through the middle19%−2.7±0.0+1.8−0.9±2.1
FH inside-out15%+1.4−1.3+6.7+6.8±3.3
FH inside-in11%+0.7−0.4+0.8+1.1±3.3

Daria Kasatkina returning

1st serve to the forehand

ReturnNowTourOwnv LauraValue
FH through the middle39%+4.2+3.2−0.1+7.2±2.6
FH crosscourt21%+5.3+2.1−0.7+6.8±3.8
FH slice through the middle17%−6.7+0.9−0.8−6.6±2.1
FH down the line12%+1.5+6.0−1.0+6.5±4.5
FH slice crosscourt9%−6.6+1.7+1.7−3.2±2.4

Lean FH through the middle: +3.9±1.9 per 100 returns v the current mix (1118 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LauraValue
BH through the middle49%+6.0+2.8+0.1+9.0±2.4
BH crosscourt28%+7.7+2.8+0.1+10.6±3.1
BH down the line12%+2.2+3.5+1.3+7.0±3.9
BH slice through the middle6%−6.2+1.6+0.4−4.2±2.5
BH slice crosscourt3%−4.2−1.0±0.0−5.1±2.9

Lean BH crosscourt: +3.2±2.6 per 100 returns v the current mix (1078 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LauraValue
FH through the middle46%−3.2+3.7−0.7−0.2±2.6
FH crosscourt30%+0.5+0.6−3.2−2.1±4.0
FH down the line21%−0.6+2.6+0.3+2.4±4.8
FH slice through the middle4%−15.2+1.3−0.1−14.0±1.7

Lean FH down the line: +3.1±4.1 per 100 returns v the current mix (226 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LauraValue
BH through the middle35%−2.6+1.9−0.4−1.1±2.0
BH crosscourt31%+1.5+1.1+0.6+3.2±2.9
BH down the line15%−0.5+0.7−0.9−0.7±4.3
FH inside-out9%+1.4+0.4+0.3+2.1±3.9
FH through the middle7%−2.7+1.3−0.7−2.0±2.3

Lean BH crosscourt: +2.7±2.3 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.

Laura Pigossi

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+6.9±2.9+3.3+3.6
FH to the middle · return+3.6±2.4+0.9+2.6
BH to the middle · rally+1.9±1.8+1.4+0.5
BH to the middle · return+1.5±2.2+0.1+1.4
FH to their backhand · serve +1+0.2±3.5+0.8−0.6
BH to their backhand · rally±0.0±2.2−1.1+1.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−1.4±3.3−0.3−1.1
FH to their forehand · rally−1.2±2.5−0.9−0.3
FH to their backhand · rally−0.9±2.5−2.0+1.1
FH to the middle · rally±0.0±2.0−0.4+0.4
BH to their backhand · rally±0.0±2.2−1.1+1.2

Daria Kasatkina

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+4.6±2.1+2.5+2.1
BH slice to their backhand · rally+3.8±2.3+2.9+1.0
FH to the middle · return+3.4±2.4+3.0+0.4
BH to their backhand · rally+3.0±2.3+2.1+0.9
BH slice to the middle · rally+1.3±2.0+1.8−0.5
BH to the middle · rally+1.0±2.0+1.4−0.3

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−0.6±2.8+2.3−2.9
FH to their forehand · rally±0.0±2.6+1.0−1.0
BH to the middle · rally+1.0±2.0+1.4−0.3
BH slice to the middle · rally+1.3±2.0+1.8−0.5
BH to their backhand · rally+3.0±2.3+2.1+0.9

Against Daria Kasatkina-like opponents

Laura Pigossi vMatchesServe pts wonReturn pts won
All charted opponents–55.3%45.2%

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.