RallyIQ

Game plan

Linda Klimovicova v Victoria Jimenez Kasintseva

Every number combines what Linda Klimovicova does well with what Victoria Jimenez Kasintseva 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 75%90%: 41%–94% · best of 5: 80%
Serve points won 58.7% / 53.6% Linda / Victoria · tour 56.3%
Strengths only, no similarity priors 75%serve 58.7% / 53.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerLindaVictoria
Direction choice+0.27 ±0.09
better than 92%
−0.24 ±0.23
better than 12%
Shot selection+0.47 ±0.14
better than 93%
+0.40 ±0.20
better than 90%
Execution+1.01 ±0.86
better than 92%
−0.70 ±0.67
better than 27%
Points left on the table2.13 ±0.17
lower than 97%
2.81 ±0.37
lower than 23%

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 VictoriaMatchupOptimal
Wide45%63%62%58.9%±9.145%
Body17%59%52%53.2%±11.81% ▼
T39%78%67%77.2%±8.754% ▲

Optimal v Victoria Jimenez Kasintseva: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +12.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLinda winsv VictoriaMatchupOptimal
Wide53%72%60%66.6%±9.358% ▲
Body16%48%59%50.7%±12.11% ▼
T31%68%60%63.9%±10.541% ▲

Optimal v Victoria Jimenez Kasintseva: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Victoria Jimenez Kasintseva serving

Deuce court

1st serveNowVictoria winsv LindaMatchupOptimal
Wide23%68%68%69.5%±9.938% ▲
Body37%49%54%45.6%±9.822% ▼
T40%64%68%63.3%±10.340%

Optimal v Linda Klimovicova: +1.2±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +11.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVictoria winsv LindaMatchupOptimal
Wide49%57%61%52.4%±9.249%
Body33%53%55%52.3%±10.818% ▼
T18%65%64%65.0%±13.033% ▲

Optimal v Linda Klimovicova: +0.8±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.3 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 VictoriaValue
FH through the middle43%+4.2+1.1−1.2+4.0±3.1
FH crosscourt25%+5.3+1.6−0.2+6.6±4.4
FH down the line17%+1.5+1.0−0.6+2.0±4.7
FH slice through the middle10%−6.7+0.8−1.1−7.1±2.3
FH slice crosscourt6%−6.6+0.5±0.0−6.1±1.6

Lean FH crosscourt: +4.0±3.6 per 100 returns v the current mix (215 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VictoriaValue
BH through the middle43%+6.0+1.8+1.7+9.5±2.8
BH crosscourt38%+7.7+2.8+2.5+13.0±3.6
BH down the line7%+2.2+0.9−2.0+1.1±4.3
BH slice crosscourt7%−4.2−0.4−0.6−5.1±2.2
BH slice through the middle4%−6.2±0.0−0.5−6.8±2.1

Lean BH crosscourt: +4.5±2.6 per 100 returns v the current mix (195 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv VictoriaValue
BH crosscourt53%+1.5+1.9−0.4+2.9±3.7
BH through the middle35%−2.6−0.5−1.6−4.7±2.8
FH inside-in6%+0.7+1.5−0.5+1.8±3.6
BH down the line5%−0.5−0.3−1.4−2.2±3.5

Lean BH crosscourt: +3.0±2.0 per 100 returns v the current mix (94 returns charted)

Victoria Jimenez Kasintseva returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle61%+4.2+0.3+1.8+6.3±3.0
FH crosscourt27%+5.3−1.1−3.6+0.6±4.4
FH down the line11%+1.5+1.3−1.2+1.6±4.4

Lean FH through the middle: +2.1±1.7 per 100 returns v the current mix (168 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle59%+6.0−1.8+0.7+4.9±2.8
BH crosscourt25%+7.7+0.7−4.4+4.1±3.6
BH down the line16%+2.2−2.0+3.2+3.4±4.7

Lean BH through the middle: +0.5±1.6 per 100 returns v the current mix (215 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle63%−2.6+0.3−2.0−4.3±2.7
BH crosscourt30%+1.5−1.5−2.9−2.9±3.5
BH down the line7%−0.5−0.1−0.4−1.0±4.3

Lean BH crosscourt: +0.7±3.0 per 100 returns v the current mix (70 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.

Linda Klimovicova

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+4.2±2.8+3.2+1.0
BH to their forehand · return +1+4.0±4.8+3.3+0.7
FH to their forehand · return+3.0±4.3+4.2−1.2
FH to the middle · rally+2.8±2.4+0.6+2.1
BH to their forehand · rally+2.7±3.9+2.0+0.7
BH to their forehand · return+2.5±4.4+1.2+1.3

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−0.9±2.9+0.5−1.4
FH to their backhand · return +1+0.3±4.2−0.7+1.0
FH to their backhand · rally+0.3±3.1−1.2+1.5
BH to their backhand · return+0.3±3.5+2.2−1.8
BH to the middle · rally+0.4±2.1+0.8−0.4

Victoria Jimenez Kasintseva

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+9.2±3.0+3.1+6.0
FH to their backhand · return +1+6.7±4.3+1.4+5.3
BH to their backhand · rally+3.5±3.0±0.0+3.5
FH to their backhand · serve +1+3.2±3.9−0.2+3.4
BH to the middle · rally+2.4±2.0+0.4+2.0
FH to their forehand · serve +1+1.8±3.9−0.2+2.0

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−3.6±2.4−1.4−2.2
BH to their forehand · return−2.9±4.6+2.5−5.4
BH to the middle · serve +1−2.8±2.7−1.8−1.0
FH to the middle · rally−1.4±2.2−0.6−0.8
FH to their backhand · return−1.2±4.3+1.5−2.8

Against Victoria Jimenez Kasintseva-like opponents

Linda Klimovicova vMatchesServe pts wonReturn pts won
All charted opponents–60.2%42.6%

Similar by tactical fingerprint: Diana Shnaider, Arantxa Rus, Jil Teichmann, Sara Bejlek, Olga Danilovic, Xiyu Wang, Nao Hibino, Beatriz Haddad Maia, Lesia Tsurenko, Martina Trevisan. When two players have rarely met, their records against these lookalikes fill the gap.