RallyIQ

Game plan

Linda Fruhvirtova v Jasmine Paolini

Every number combines what Linda Fruhvirtova does well with what Jasmine Paolini allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Linda Fruhvirtova wins, best of 3 15%90%: 2%–49% · best of 5: 10%
Serve points won 53.5% / 61.5% Linda / Jasmine · tour 58.1%
Strengths only, no similarity priors 15%serve 53.5% / 61.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerLindaJasmine
Direction choice+0.10 ±0.09
better than 72%
−0.08 ±0.06
better than 39%
Shot selection−0.11 ±0.11
better than 35%
+0.57 ±0.09
better than 96%
Execution+1.26 ±0.49
better than 95%
+0.55 ±0.36
better than 81%
Points left on the table2.35 ±0.12
lower than 81%
2.60 ±0.10
lower than 53%

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: Linda Fruhvirtova +1.67, Jasmine Paolini +1.99. 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.

Linda Fruhvirtova serving

Deuce court

1st serveNowLinda winsv JasmineMatchupOptimal
Wide39%67%65%66.3%±5.854% ▲
Body14%63%55%60.9%±8.714%
T47%71%67%70.6%±6.032% ▼

Optimal v Jasmine Paolini: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLinda winsv JasmineMatchupOptimal
Wide39%68%60%62.9%±7.054% ▲
Body16%52%54%49.3%±9.21% ▼
T45%64%57%56.9%±6.645%

Optimal v Jasmine Paolini: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.9 per 100 first serves in before the returner adjusts.

Jasmine Paolini serving

Deuce court

1st serveNowJasmine winsv LindaMatchupOptimal
Wide33%64%68%65.8%±6.448% ▲
Body28%57%52%51.6%±7.412% ▼
T39%62%72%66.5%±6.840%

Optimal v Linda Fruhvirtova: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJasmine winsv LindaMatchupOptimal
Wide41%63%63%61.0%±6.442%
Body21%57%58%59.0%±8.65% ▼
T38%68%65%68.5%±6.253% ▲

Optimal v Linda Fruhvirtova: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.0 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.

Linda Fruhvirtova returning

1st serve to the forehand

ReturnNowTourOwnv JasmineValue
FH through the middle54%+4.2+3.1−0.3+7.0±2.3
FH crosscourt23%+5.3+2.7+0.2+8.2±3.8
FH down the line19%+1.5+1.3−2.2+0.7±4.3
FH slice through the middle2%−6.7+0.5±0.0−6.2±2.2
FH slice crosscourt2%−6.6+0.6−1.0−7.0±2.2

Lean FH crosscourt: +2.7±3.3 per 100 returns v the current mix (331 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JasmineValue
BH crosscourt43%+7.7+1.5+1.0+10.3±2.9
BH through the middle42%+6.0+1.6+0.9+8.5±2.2
BH down the line8%+2.2−2.2+3.5+3.5±4.1
BH slice through the middle4%−6.2+0.2+0.6−5.4±2.3
BH slice crosscourt2%−4.2+0.1−1.3−5.4±2.3

Lean BH crosscourt: +2.3±1.9 per 100 returns v the current mix (272 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JasmineValue
FH through the middle44%−3.2+2.1+0.3−0.8±2.9
FH crosscourt35%+0.5±0.0+1.5+2.1±4.3
FH down the line21%−0.6+2.1+3.4+4.9±4.9

Lean FH down the line: +3.5±4.3 per 100 returns v the current mix (95 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JasmineValue
BH through the middle44%−2.6+0.9+0.5−1.2±2.5
BH crosscourt41%+1.5−0.3+0.2+1.4±3.2
BH down the line15%−0.5−0.2+2.0+1.2±4.7

Lean BH crosscourt: +1.2±2.3 per 100 returns v the current mix (119 returns charted, inside the 90% margin)

Jasmine Paolini returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle47%+4.2+1.1−1.1+4.2±2.4
FH crosscourt26%+5.3+2.9+2.3+10.6±3.8
FH down the line18%+1.5+0.1±0.0+1.7±4.4
FH slice through the middle5%−6.7−2.3+0.4−8.6±2.6
FH slice down the line2%−10.5−0.3+2.6−8.2±2.9

Lean FH crosscourt: +6.2±3.1 per 100 returns v the current mix (824 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle50%+6.0+2.4+0.7+9.1±2.1
BH crosscourt25%+7.7+2.7−2.9+7.5±3.3
BH down the line13%+2.2+0.5+3.4+6.1±4.6
BH slice through the middle7%−6.2−3.3−0.1−9.7±2.4
BH slice down the line3%−12.5−1.9−0.9−15.3±3.1

Lean BH through the middle: +3.2±1.5 per 100 returns v the current mix (769 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle44%−3.2−0.7−0.1−3.9±3.0
FH crosscourt34%+0.5−0.1+6.4+6.8±4.4
FH down the line22%−0.6+1.6−3.8−2.7±5.2

Lean FH crosscourt: +6.9±3.4 per 100 returns v the current mix (187 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle45%−2.6−0.2+1.5−1.3±2.5
BH crosscourt34%+1.5+0.8−0.8+1.5±3.4
BH down the line12%−0.5−2.0+1.9−0.6±5.3
FH through the middle5%−2.7+0.2−0.1−2.5±2.5
FH inside-out3%+1.4+2.6−3.8+0.2±3.9

Lean BH crosscourt: +1.7±2.6 per 100 returns v the current mix (425 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.

Linda Fruhvirtova

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+7.2±4.2+1.6+5.6
FH to their backhand · serve +1+6.5±4.3+3.0+3.5
BH to the middle · return+4.7±2.4+1.6+3.1
FH to their backhand · return+4.3±5.0+2.2+2.1
FH to their forehand · return+4.3±4.8+1.9+2.4
BH to their forehand · return+4.3±5.1+0.7+3.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−6.8±4.5−1.0−5.8
BH to their forehand · rally−4.9±4.7−0.2−4.7
BH slice to the middle · rally−2.1±2.9+0.6−2.6
BH to the middle · serve +1−2.0±3.0−1.5−0.5
BH to the middle · rally−1.8±2.3+0.4−2.2

Jasmine Paolini

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+11.5±4.7+6.5+5.0
BH to their forehand · serve +1+7.6±5.5+2.7+4.9
FH to their forehand · serve +1+5.6±4.9+0.7+4.9
BH to the middle · return+4.9±3.0+3.1+1.8
FH to the middle · return +1+4.9±3.1+2.4+2.4
BH to their backhand · serve +1+4.4±4.0+2.2+2.2

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−4.0±2.5−3.0−1.0
BH to their forehand · return +1−2.1±5.5−2.9+0.9
BH slice to their backhand · rally−1.8±3.7−1.9+0.1
FH to their backhand · return +1−1.8±4.9−3.9+2.1
FH to their backhand · return−1.6±4.8+0.9−2.6

Against Jasmine Paolini-like opponents

Linda Fruhvirtova vMatchesServe pts wonReturn pts won
All charted opponents–56.2%42.6%

Similar by tactical fingerprint: Alexandra Eala, Diana Shnaider, Bianca Andreescu, Maya Joint, Nadia Podoroska, Jaqueline Cristian, Maria Sakkari, Nao Hibino, Andrea Petkovic, Dominika Cibulkova. When two players have rarely met, their records against these lookalikes fill the gap.