RallyIQ

Game plan

Linda Klimovicova v Flavia Pennetta

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

Forecast

Linda Klimovicova wins, best of 3 37%90%: 7%–80% · best of 5: 34%
Serve points won 58.2% / 60.7% Linda / Flavia · tour 58.1%
Strengths only, no similarity priors 39%serve 58.4% / 60.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Linda Klimovicova's record against Flavia Pennetta's tactical lookalikes and in their charted head-to-heads (lookalikes: −4.8 on serve, −7.7 on return vs expectation (116 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

CareerLindaFlavia
Direction choice+0.27 ±0.09
better than 92%
+0.04 ±0.19
better than 60%
Shot selection+0.47 ±0.14
better than 93%
+0.20 ±0.14
better than 66%
Execution+1.01 ±0.86
better than 92%
+0.85 ±0.45
better than 87%
Points left on the table2.13 ±0.17
lower than 97%
2.42 ±0.27
lower than 72%

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.

Linda Klimovicova serving

Deuce court

1st serveNowLinda winsv FlaviaMatchupOptimal
Wide45%63%60%57.4%±9.045%
Body17%59%52%53.4%±12.01% ▼
T39%78%68%77.5%±8.454% ▲

Optimal v Flavia Pennetta: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +13.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLinda winsv FlaviaMatchupOptimal
Wide53%72%74%79.2%±7.568% ▲
Body16%48%53%45.3%±12.21% ▼
T31%68%63%67.0%±9.331%

Optimal v Flavia Pennetta: +1.4±1.2 per 100 first serves (faults included) over the current mix. Serving wide every time would read +9.2 per 100 first serves in before the returner adjusts.

Flavia Pennetta serving

Deuce court

1st serveNowFlavia winsv LindaMatchupOptimal
Wide41%73%68%74.7%±7.557% ▲
Body19%56%54%52.7%±10.74% ▼
T40%65%68%64.8%±10.039%

Optimal v Linda Klimovicova: +1.1±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFlavia winsv LindaMatchupOptimal
Wide52%64%61%59.1%±9.052%
Body21%53%55%52.5%±11.35% ▼
T27%65%64%64.8%±10.243% ▲

Optimal v Linda Klimovicova: +0.3±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.5 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 Klimovicova returning

1st serve to the forehand

ReturnNowTourOwnv FlaviaValue
FH through the middle43%+4.2+1.1+1.4+6.6±3.0
FH crosscourt25%+5.3+1.6+3.7+10.6±4.4
FH down the line17%+1.5+1.0±0.0+2.6±4.7
FH slice through the middle10%−6.7+0.8+0.3−5.7±2.4
FH slice crosscourt6%−6.6+0.5+0.5−5.6±2.3

Lean FH crosscourt: +5.6±3.6 per 100 returns v the current mix (215 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FlaviaValue
BH through the middle43%+6.0+1.8+1.9+9.7±2.8
BH crosscourt38%+7.7+2.8+4.1+14.6±3.6
BH down the line7%+2.2+0.9+3.2+6.3±4.3
BH slice crosscourt7%−4.2−0.4+1.2−3.4±2.7
BH slice through the middle4%−6.2±0.0+0.4−5.8±2.2

Lean BH crosscourt: +4.9±2.6 per 100 returns v the current mix (195 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv FlaviaValue
BH crosscourt53%+1.5+1.9+2.9+6.2±3.6
BH through the middle35%−2.6−0.5+2.8−0.3±2.8
FH inside-in6%+0.7+1.5−0.1+2.2±3.8
BH down the line5%−0.5−0.3+2.2+1.4±4.3

Lean BH crosscourt: +2.8±2.0 per 100 returns v the current mix (94 returns charted)

Flavia Pennetta returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle49%+4.2+0.9+1.8+6.9±2.9
FH crosscourt22%+5.3+4.0−1.2+8.0±4.2
FH down the line18%+1.5−0.5−3.6−2.6±4.7
FH slice through the middle9%−6.7−2.2−0.4−9.4±2.3
FH slice crosscourt3%−6.6−1.6−0.5−8.7±2.1

Lean FH crosscourt: +4.4±3.7 per 100 returns v the current mix (280 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle43%+6.0−2.6+0.7+4.1±2.9
BH crosscourt24%+7.7+0.7+3.2+11.7±3.6
BH slice through the middle13%−6.2−0.2−0.9−7.3±2.3
BH down the line13%+2.2−0.2−4.4−2.4±4.3
BH slice crosscourt7%−4.2±0.0−1.2−5.4±2.5

Lean BH crosscourt: +8.7±3.1 per 100 returns v the current mix (135 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle52%−3.2+2.1−2.3−3.3±3.0
FH crosscourt28%+0.5−2.1+2.5+1.0±4.1
FH down the line20%−0.6+0.4−0.4−0.5±4.7

Lean FH crosscourt: +2.5±3.5 per 100 returns v the current mix (54 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle41%−2.6+0.2−2.0−4.4±2.7
BH crosscourt35%+1.5−0.3−0.4+0.8±3.6
BH down the line24%−0.5+4.0−2.9+0.6±5.0

Lean BH crosscourt: +2.2±2.9 per 100 returns v the current mix (83 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 Klimovicova

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+7.4±5.9+5.3+2.2
BH to their forehand · return+5.6±5.6+1.2+4.5
BH to the middle · return+5.1±3.8+1.6+3.5
BH to their backhand · return+4.7±5.0−0.7+5.4
FH to their backhand · return+4.0±6.4+6.1−2.1
BH to their forehand · return +1+3.8±4.8+3.3+0.5

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1+0.3±5.0+2.3−2.0
FH to the middle · rally+0.3±3.5+2.9−2.5
BH to the middle · rally+0.4±2.7+0.8−0.4
BH to the middle · return +1+1.0±2.6+0.8+0.2
BH to their forehand · rally+1.1±4.1+2.0−1.0

Flavia Pennetta

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+10.8±5.2+1.2+9.5
FH to their backhand · serve +1+10.0±4.7+3.6+6.4
FH to their backhand · return +1+6.8±4.4+1.5+5.3
FH to their forehand · return +1+6.3±5.5+1.9+4.3
FH to their forehand · serve +1+5.6±5.5+2.1+3.5
FH to their forehand · return+4.7±5.2+4.0+0.7

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return−2.2±4.7+3.2−5.4
FH to their backhand · return−2.2±5.1−0.2−2.0
BH to the middle · return−1.5±3.7+0.9−2.4
BH to their forehand · rally−0.9±6.0+1.6−2.5
BH to the middle · serve +1−0.7±3.3+0.8−1.5

Against Flavia Pennetta-like opponents

Linda Klimovicova vMatchesServe pts wonReturn pts won
All charted opponents–60.2%42.6%
Players most similar to Flavia Pennetta1 50.9%32.8%

Similar by tactical fingerprint: Anastasia Potapova, Alina Korneeva, Elina Svitolina, Magda Linette, Varvara Gracheva, Anhelina Kalinina, Ana Bogdan, Elena Vesnina, Elena Dementieva. When two players have rarely met, their records against these lookalikes fill the gap.