RallyIQ

Game plan

Linda Klimovicova v Renata Zarazua

Every number combines what Linda Klimovicova does well with what Renata Zarazua 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 72%90%: 37%–93% · best of 5: 76%
Serve points won 62.0% / 57.5% Linda / Renata · tour 56.4%
Strengths only, no similarity priors 72%serve 62.0% / 57.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerLindaRenata
Direction choice+0.27 ±0.09
better than 92%
−0.24 ±0.19
better than 13%
Shot selection+0.47 ±0.14
better than 93%
−0.74 ±0.34
better than 6%
Execution+1.01 ±0.86
better than 92%
+0.94 ±1.33
better than 90%

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 RenataMatchupOptimal
Wide45%63%68%65.1%±10.545%
Body17%59%58%59.4%±13.71% ▼
T39%78%77%84.7%±7.554% ▲

Optimal v Renata Zarazua: +1.2±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +12.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLinda winsv RenataMatchupOptimal
Wide53%72%60%67.4%±12.052%
Body16%48%59%50.6%±14.41% ▼
T31%68%74%76.9%±9.047% ▲

Optimal v Renata Zarazua: +1.4±1.3 per 100 first serves (faults included) over the current mix. Serving T every time would read +9.2 per 100 first serves in before the returner adjusts.

Renata Zarazua serving

Deuce court

1st serveNowRenata winsv LindaMatchupOptimal
Wide48%66%68%67.2%±10.263% ▲
Body23%53%54%49.4%±12.68% ▼
T29%62%68%61.3%±13.129%

Optimal v Linda Klimovicova: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRenata winsv LindaMatchupOptimal
Wide28%64%61%59.1%±12.731% ▲
Body16%61%55%60.7%±14.00% ▼
T57%53%64%52.1%±11.469% ▲

Optimal v Linda Klimovicova: +0.2±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +5.3 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 RenataValue
FH through the middle43%+4.2+1.1+0.5+5.7±3.1
FH crosscourt25%+5.3+1.6+1.9+8.8±4.2
FH down the line17%+1.5+1.0−1.4+1.2±4.3
FH slice through the middle10%−6.7+0.8+1.4−4.5±2.1
FH slice crosscourt6%−6.6+0.5±0.0−6.1±1.6

Lean FH crosscourt: +4.8±3.5 per 100 returns v the current mix (215 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RenataValue
BH through the middle43%+6.0+1.8+3.5+11.3±2.9
BH crosscourt38%+7.7+2.8+1.2+11.8±3.4
BH down the line7%+2.2+0.9+0.4+3.5±3.7
BH slice crosscourt7%−4.2−0.4±0.0−4.6±1.8
BH slice through the middle4%−6.2±0.0±0.0−6.3±1.3

Lean BH crosscourt: +2.7±2.4 per 100 returns v the current mix (195 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RenataValue
BH crosscourt53%+1.5+1.9−1.1+2.3±3.2
BH through the middle35%−2.6−0.5+0.3−2.8±2.6
FH inside-in6%+0.7+1.5+2.8+5.1±3.5
BH down the line5%−0.5−0.3−0.2−1.0±3.0

Lean BH crosscourt: +1.8±1.8 per 100 returns v the current mix (94 returns charted)

Renata Zarazua returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle52%+4.2+1.1+1.8+7.0±3.1
FH crosscourt24%+5.3+1.5−1.2+5.6±4.1
FH down the line18%+1.5+0.6−3.6−1.5±4.4
FH slice through the middle7%−6.7+0.2−0.4−7.0±2.0

Lean FH through the middle: +2.8±2.0 per 100 returns v the current mix (97 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle33%+6.0−0.1+0.7+6.6±2.8
BH crosscourt29%+7.7+0.6+3.2+11.6±3.4
BH down the line24%+2.2−1.4−4.4−3.5±4.1
BH slice through the middle14%−6.2+0.6−0.9−6.5±2.0

Lean BH crosscourt: +7.7±2.8 per 100 returns v the current mix (51 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 hard. Each player's hard 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 · rally+7.7±3.7+4.5+3.2
BH to the middle · return+6.6±3.6+1.4+5.2
FH to the middle · rally+3.0±3.5−0.5+3.5
FH to the middle · return+2.9±3.8+1.4+1.5
BH to the middle · rally+2.4±3.1+1.1+1.3
BH to their backhand · rally+0.8±4.0±0.0+0.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−3.4±6.5+2.5−5.9
FH to their forehand · serve +1−0.1±5.7+0.4−0.6
FH to their backhand · rally±0.0±5.0−1.4+1.3
BH to their backhand · rally+0.8±4.0±0.0+0.9
BH to the middle · rally+2.4±3.1+1.1+1.3

Renata Zarazua

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+5.9±4.2+1.5+4.4
BH to the middle · rally+3.5±3.0+1.4+2.1
FH to their forehand · rally+3.3±3.8+1.1+2.3
FH to the middle · rally+2.9±3.2+3.8−0.9
FH to their backhand · rally+1.5±5.2−4.1+5.7
FH to their forehand · serve +1−0.4±5.8−2.4+1.9

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−4.6±3.8−1.8−2.7
FH to the middle · return−2.0±3.9−0.4−1.6
FH to their forehand · serve +1−0.4±5.8−2.4+1.9
FH to their backhand · rally+1.5±5.2−4.1+5.7
FH to the middle · rally+2.9±3.2+3.8−0.9

Against Renata Zarazua-like opponents

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