RallyIQ

Game plan

Sara Sorribes Tormo v Sabine Lisicki

Every number combines what Sara Sorribes Tormo does well with what Sabine Lisicki allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Sara Sorribes Tormo wins, best of 3 41%90%: 16%–70% · best of 5: 38%
Serve points won 52.4% / 54.1% Sara / Sabine · tour 56.3%
Strengths only, no similarity priors 41%serve 52.4% / 54.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerSaraSabine
Direction choice−0.48 ±0.10
better than 0%
+0.02 ±0.12
better than 56%
Shot selection−0.84 ±0.19
better than 5%
+0.35 ±0.13
better than 83%
Execution+2.10 ±0.36
better than 99%
−1.31 ±0.65
better than 13%
Points left on the table3.12 ±0.13
lower than 7%
2.61 ±0.18
lower than 50%

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.

Sara Sorribes Tormo serving

Deuce court

1st serveNowSara winsv SabineMatchupOptimal
Wide44%61%69%64.0%±6.459% ▲
Body41%51%62%56.7%±7.226% ▼
T15%59%65%55.2%±9.215%

Optimal v Sabine Lisicki: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSara winsv SabineMatchupOptimal
Wide24%58%67%59.0%±7.928% ▲
Body52%53%59%56.1%±6.937% ▼
T24%54%63%52.5%±8.135% ▲

Optimal v Sabine Lisicki: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 per 100 first serves in before the returner adjusts.

Sabine Lisicki serving

Deuce court

1st serveNowSabine winsv SaraMatchupOptimal
Wide46%69%62%65.5%±6.346%
Body18%60%51%53.8%±8.43% ▼
T36%75%60%68.4%±7.651% ▲

Optimal v Sara Sorribes Tormo: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSabine winsv SaraMatchupOptimal
Wide40%73%60%68.0%±6.955% ▲
Body18%50%55%48.7%±9.03% ▼
T42%65%57%56.6%±7.542%

Optimal v Sara Sorribes Tormo: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.3 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.

Sara Sorribes Tormo returning

1st serve to the forehand

ReturnNowTourOwnv SabineValue
FH through the middle55%+4.2+3.8−0.1+7.9±2.5
FH down the line19%+1.5+2.0+1.2+4.7±4.5
FH crosscourt14%+5.3+3.1+0.4+8.8±4.3
FH slice through the middle8%−6.7+0.1+1.9−4.7±2.6
FH slice crosscourt4%−6.6+0.1+0.8−5.7±2.5

Lean FH crosscourt: +3.1±4.0 per 100 returns v the current mix (518 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SabineValue
BH through the middle49%+6.0+2.4−2.6+5.9±2.4
BH crosscourt22%+7.7+4.0+0.3+12.1±3.4
BH down the line12%+2.2+3.2−2.4+3.0±4.7
BH slice through the middle8%−6.2+1.9+0.6−3.7±2.4
BH slice crosscourt3%−4.2−0.8−0.4−5.3±2.7

Lean BH crosscourt: +6.6±3.0 per 100 returns v the current mix (530 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SabineValue
FH through the middle50%−3.2+1.6+0.8−0.7±3.0
FH crosscourt27%+0.5±0.0−0.7−0.2±4.4
FH down the line23%−0.6+1.9−0.7+0.6±5.1

Lean FH down the line: +0.9±4.4 per 100 returns v the current mix (113 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SabineValue
FH inside-out34%+1.4+0.7−0.7+1.3±4.2
FH through the middle31%−2.7+2.4+0.8+0.5±2.6
BH through the middle18%−2.6+1.7+0.5−0.4±2.7
BH crosscourt8%+1.5−0.1+1.0+2.4±3.4
BH down the line3%−0.5−1.9+1.0−1.4±4.6

Lean BH crosscourt: +2.0±3.5 per 100 returns v the current mix (261 returns charted, inside the 90% margin)

Sabine Lisicki returning

1st serve to the forehand

ReturnNowTourOwnv SaraValue
FH through the middle44%+4.2−0.6+1.5+5.0±2.3
FH crosscourt24%+5.3−0.6+3.5+8.2±4.0
FH down the line21%+1.5+4.0+2.4+8.0±4.2
FH slice through the middle6%−6.7+1.6+0.9−4.3±2.4
FH slice crosscourt3%−6.6−0.1±0.0−6.7±1.4

Lean FH crosscourt: +2.9±3.3 per 100 returns v the current mix (340 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SaraValue
BH through the middle46%+6.0+0.9+1.6+8.6±2.3
BH crosscourt25%+7.7−0.8+0.5+7.4±3.2
BH down the line22%+2.2+2.4−0.6+4.0±4.6
BH slice through the middle4%−6.2−0.1−0.1−6.4±2.1
BH slice crosscourt3%−4.2−0.5+0.1−4.5±2.5

Lean BH through the middle: +2.3±1.8 per 100 returns v the current mix (296 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SaraValue
FH through the middle42%−3.2−0.9+3.0−1.1±2.8
FH down the line31%−0.6+2.0+5.1+6.6±4.9
FH crosscourt27%+0.5+2.3+0.2+3.0±3.9

Lean FH down the line: +4.2±3.7 per 100 returns v the current mix (64 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv SaraValue
BH through the middle44%−2.6−1.5+1.6−2.5±2.8
BH crosscourt30%+1.5−3.0+1.0−0.6±3.7
BH down the line21%−0.5−3.3+1.6−2.3±5.2
FH through the middle4%−2.7+0.8+3.0+1.1±1.9

Lean BH crosscourt: +1.2±3.0 per 100 returns v the current mix (135 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.

Sara Sorribes Tormo

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+6.0±3.8+5.6+0.3
BH to their backhand · return+5.9±3.0+5.2+0.7
BH to the middle · serve +1+4.3±2.2+2.9+1.4
FH to the middle · return+4.1±1.9+4.1+0.1
BH to their backhand · rally+4.1±2.3+3.4+0.7
FH to their forehand · rally+4.0±2.4+3.4+0.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1+0.2±3.2+2.3−2.1
BH to their forehand · serve +1+1.1±4.6+1.6−0.5
BH to their backhand · return +1+1.3±3.4+0.9+0.3
BH to their forehand · return+1.3±4.4+2.3−1.0
FH to their backhand · return +1+1.3±3.7+2.5−1.2

Sabine Lisicki

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+7.5±3.4+3.5+4.0
BH to their backhand · return +1+3.7±2.8+1.6+2.1
FH to their backhand · serve +1+2.8±3.2+0.3+2.6
FH to their backhand · rally+2.6±2.6+2.5+0.1
FH to their forehand · return+2.6±3.5+0.3+2.2
BH to the middle · return+2.5±1.9−0.7+3.2

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−4.4±3.5−5.3+0.9
FH to their forehand · rally−3.5±2.1−2.0−1.5
BH to the middle · rally−3.1±1.7−2.8−0.4
BH to their backhand · serve +1−2.7±2.9−3.6+0.8
FH to the middle · serve +1−2.0±2.4−3.7+1.7

Against Sabine Lisicki-like opponents

Sara Sorribes Tormo vMatchesServe pts wonReturn pts won
All charted opponents–50.6%48.1%

Similar by tactical fingerprint: Madison Keys, Linda Noskova, Aryna Sabalenka, Clara Tauson, Viktoria Hruncakova, Anastasia Pavlyuchenkova, Aliaksandra Sasnovich, Veronika Kudermetova, Kristina Mladenovic, Daniela Hantuchova. When two players have rarely met, their records against these lookalikes fill the gap.