RallyIQ

Game plan

Tereza Valentova v Sabine Lisicki

Every number combines what Tereza Valentova 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

Tereza Valentova wins, best of 3 56%90%: 25%–84% · best of 5: 58%
Serve points won 58.0% / 56.7% Tereza / Sabine · tour 58.1%
Strengths only, no similarity priors 57%serve 58.3% / 56.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Tereza Valentova's record against Sabine Lisicki's tactical lookalikes and in their charted head-to-heads (lookalikes: −10.8 on serve, +2.1 on return vs expectation (119 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

CareerTerezaSabine
Direction choice−0.19 ±0.10
better than 19%
+0.02 ±0.12
better than 56%
Shot selection−0.15 ±0.18
better than 33%
+0.35 ±0.13
better than 83%
Execution−0.48 ±0.63
better than 34%
−1.31 ±0.65
better than 13%
Points left on the table2.94 ±0.16
lower than 14%
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.

Tereza Valentova serving

Deuce court

1st serveNowTereza winsv SabineMatchupOptimal
Wide58%67%69%70.2%±6.656% ▼
Body13%58%62%62.9%±10.80% ▼
T29%74%65%70.7%±9.044% ▲

Optimal v Sabine Lisicki: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTereza winsv SabineMatchupOptimal
Wide32%70%67%71.2%±8.147% ▲
Body13%51%59%54.0%±11.30% ▼
T55%62%63%60.7%±8.253% ▼

Optimal v Sabine Lisicki: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.0 per 100 first serves in before the returner adjusts.

Sabine Lisicki serving

Deuce court

1st serveNowSabine winsv TerezaMatchupOptimal
Wide46%69%62%65.3%±7.961% ▲
Body18%60%59%62.2%±10.03% ▼
T36%75%61%69.0%±8.536%

Optimal v Tereza Valentova: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSabine winsv TerezaMatchupOptimal
Wide40%73%63%70.1%±7.855% ▲
Body18%50%58%52.2%±11.93% ▼
T42%65%66%65.6%±8.142%

Optimal v Tereza Valentova: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.1 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.

Tereza Valentova returning

1st serve to the forehand

ReturnNowTourOwnv SabineValue
FH through the middle48%+4.2−0.1−0.1+4.0±2.8
FH crosscourt18%+5.3±0.0+0.4+5.6±4.3
FH down the line15%+1.5+2.2+1.2+5.0±4.6
FH slice through the middle10%−6.7−1.0+1.9−5.8±2.5
FH slice crosscourt7%−6.6+0.9+0.8−4.9±2.4

Lean FH crosscourt: +3.2±3.8 per 100 returns v the current mix (210 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SabineValue
BH through the middle46%+6.0+0.6−2.6+4.1±2.7
BH crosscourt21%+7.7+0.8+0.3+8.9±3.5
BH down the line21%+2.2+0.5−2.4+0.3±4.7
BH slice through the middle7%−6.2−0.3+0.6−5.9±2.2
BH slice crosscourt3%−4.2−1.5−0.4−6.0±2.4

Lean BH crosscourt: +6.1±3.2 per 100 returns v the current mix (239 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SabineValue
FH through the middle63%−3.2+0.1+0.8−2.2±3.0
FH crosscourt23%+0.5−1.5−0.7−1.6±3.9
FH down the line14%−0.6+1.6−0.7+0.3±4.4

Lean FH through the middle: −0.5±1.6 per 100 returns v the current mix (43 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SabineValue
BH through the middle40%−2.6+1.1+0.5−1.0±2.7
BH crosscourt30%+1.5−1.3+1.0+1.2±3.5
BH down the line29%−0.5−3.0+1.0−2.5±5.3

Lean BH crosscourt: +2.0±3.1 per 100 returns v the current mix (139 returns charted, inside the 90% margin)

Sabine Lisicki returning

1st serve to the forehand

ReturnNowTourOwnv TerezaValue
FH through the middle44%+4.2−0.6+1.0+4.5±2.8
FH crosscourt24%+5.3−0.6−2.4+2.3±4.3
FH down the line21%+1.5+4.0−2.4+3.1±4.7
FH slice through the middle6%−6.7+1.6±0.0−5.1±2.1
FH slice crosscourt3%−6.6−0.1−1.1−7.8±2.0

Lean FH through the middle: +2.0±2.1 per 100 returns v the current mix (340 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv TerezaValue
BH through the middle46%+6.0+0.9−0.8+6.2±2.7
BH crosscourt25%+7.7−0.8−0.5+6.5±3.6
BH down the line22%+2.2+2.4−0.4+4.2±4.7
BH slice through the middle4%−6.2−0.1−0.7−7.0±2.2
BH slice crosscourt3%−4.2−0.5−0.7−5.3±2.0

Lean BH crosscourt: +1.6±3.2 per 100 returns v the current mix (296 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv TerezaValue
FH through the middle42%−3.2−0.9−1.6−5.6±3.0
FH down the line31%−0.6+2.0+0.2+1.7±5.0
FH crosscourt27%+0.5+2.3+0.1+2.9±4.2

Lean FH crosscourt: +4.0±3.7 per 100 returns v the current mix (64 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TerezaValue
BH through the middle44%−2.6−1.5+1.6−2.6±2.7
BH crosscourt30%+1.5−3.0+1.0−0.6±3.7
BH down the line21%−0.5−3.3−0.1−4.0±5.2
FH through the middle4%−2.7+0.8−1.6−3.5±2.2

Lean BH crosscourt: +1.7±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 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.

Tereza Valentova

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+4.0±4.0+0.3+3.7
BH to their forehand · serve +1+2.5±5.8+1.0+1.5
FH to their forehand · serve +1+1.8±4.9+2.0−0.1
BH to the middle · serve +1+1.6±3.1+0.1+1.5
BH to their forehand · rally+1.5±5.7+2.5−1.0
FH to their forehand · return +1+0.6±5.2+1.7−1.2

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−3.8±2.8+0.3−4.1
BH to the middle · return +1−3.2±3.4−3.6+0.4
FH to the middle · rally−3.2±3.1−1.4−1.8
BH to the middle · rally−2.8±2.8−1.9−0.9
BH to their forehand · return−2.3±5.5−1.9−0.4

Sabine Lisicki

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+4.1±4.6+4.7−0.7
FH to their backhand · return +1+2.4±5.4+2.0+0.4
FH to their backhand · return+2.0±5.0+3.6−1.6
FH to their forehand · serve +1+1.2±4.8+0.5+0.7
BH to their backhand · rally+1.2±3.9+0.8+0.4
FH to the middle · rally+0.8±3.1+1.7−0.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−11.4±5.5−9.3−2.1
BH to their backhand · serve +1−9.3±4.6−6.0−3.3
BH to their forehand · serve +1−7.5±6.1−4.4−3.1
FH to their forehand · rally−6.7±3.7−3.7−3.1
FH to the middle · serve +1−6.4±3.4−3.4−3.0

Against Sabine Lisicki-like opponents

Tereza Valentova vMatchesServe pts wonReturn pts won
All charted opponents–58.0%45.2%
Players most similar to Sabine Lisicki1 46.5%43.4%

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.