RallyIQ

Game plan

Tereza Valentova v Jessica Bouzas Maneiro

Every number combines what Tereza Valentova does well with what Jessica Bouzas Maneiro 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 86%90%: 53%–98% · best of 5: 91%
Serve points won 60.2% / 52.1% Tereza / Jessica · tour 56.3%
Strengths only, no similarity priors 86%serve 60.2% / 52.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerTerezaJessica
Direction choice−0.19 ±0.10
better than 19%
+0.09 ±0.21
better than 71%
Shot selection−0.15 ±0.18
better than 33%
+0.31 ±0.34
better than 80%
Execution−0.48 ±0.63
better than 34%
−2.12 ±1.18
better than 3%

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 JessicaMatchupOptimal
Wide58%67%75%76.4%±7.573% ▲
Body13%58%62%62.5%±13.70% ▼
T29%74%77%81.3%±9.127% ▼

Optimal v Jessica Bouzas Maneiro: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTereza winsv JessicaMatchupOptimal
Wide32%70%66%70.9%±10.148% ▲
Body13%51%60%55.2%±14.90% ▼
T55%62%67%65.1%±10.152% ▼

Optimal v Jessica Bouzas Maneiro: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.2 per 100 first serves in before the returner adjusts.

Jessica Bouzas Maneiro serving

Deuce court

1st serveNowJessica winsv TerezaMatchupOptimal
Wide53%54%62%49.6%±10.566% ▲
Body18%63%59%64.5%±12.33% ▼
T29%72%61%65.9%±12.331% ▲

Optimal v Tereza Valentova: +0.1±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJessica winsv TerezaMatchupOptimal
Wide31%61%63%58.2%±11.646% ▲
Body24%57%58%59.0%±13.313% ▼
T45%54%66%54.8%±10.941% ▼

Optimal v Tereza Valentova: +0.2±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.2 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 JessicaValue
FH through the middle48%+4.2−0.1+3.1+7.2±3.1
FH crosscourt18%+5.3±0.0+3.8+9.1±4.4
FH down the line15%+1.5+2.2+0.5+4.3±4.7
FH slice through the middle10%−6.7−1.0−0.1−7.7±2.2
FH slice crosscourt7%−6.6+0.9±0.0−5.7±2.1

Lean FH crosscourt: +4.9±3.9 per 100 returns v the current mix (210 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JessicaValue
BH through the middle46%+6.0+0.6+0.1+6.7±2.9
BH crosscourt21%+7.7+0.8+0.1+8.7±3.6
BH down the line21%+2.2+0.5+0.6+3.3±4.3
BH slice through the middle7%−6.2−0.3+0.3−6.3±2.0
BH slice crosscourt3%−4.2−1.5±0.0−5.6±1.5

Lean BH crosscourt: +4.1±3.3 per 100 returns v the current mix (239 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JessicaValue
FH through the middle63%−3.2+0.1−0.8−3.9±3.0
FH crosscourt23%+0.5−1.5−0.3−1.2±3.9
FH down the line14%−0.6+1.6−5.7−4.7±4.3

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 JessicaValue
BH through the middle40%−2.6+1.1−0.4−1.9±2.7
BH crosscourt30%+1.5−1.3+2.0+2.2±3.3
BH down the line29%−0.5−3.0±0.0−3.5±3.7

Lean BH crosscourt: +3.4±2.8 per 100 returns v the current mix (139 returns charted)

Jessica Bouzas Maneiro returning

1st serve to the forehand

ReturnNowTourOwnv TerezaValue
FH through the middle44%+4.2−0.4+1.0+4.7±3.0
FH crosscourt32%+5.3+0.7−2.4+3.6±4.3
FH slice through the middle11%−6.7−0.3±0.0−6.9±2.0
FH down the line9%+1.5−3.0−2.4−3.9±4.2
FH slice crosscourt5%−6.6−1.1−1.1−8.7±1.9

Lean FH through the middle: +3.0±2.2 per 100 returns v the current mix (141 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TerezaValue
BH through the middle39%+6.0+0.4−0.8+5.7±2.8
BH crosscourt21%+7.7+0.6−0.5+7.9±3.4
BH slice through the middle18%−6.2−0.5−0.7−7.4±2.2
BH slice crosscourt13%−4.2−3.1−0.7−8.0±2.1
BH down the line9%+2.2−1.2−0.4+0.6±4.0

Lean BH crosscourt: +6.3±3.0 per 100 returns v the current mix (77 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TerezaValue
BH through the middle52%−2.6−0.3+1.6−1.3±2.6
BH crosscourt20%+1.5−0.1+1.0+2.4±3.2
BH down the line15%−0.5+0.7−0.1+0.1±4.5
FH inside-in13%+0.7−2.4+0.1−1.6±4.0

Lean BH through the middle: −0.9±1.6 per 100 returns v the current mix (46 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.

Tereza Valentova

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+4.3±4.0+0.8+3.5
FH to their forehand · serve +1+3.4±4.2+2.0+1.4
FH to the middle · serve +1+2.2±2.6+1.4+0.8
FH to their forehand · return+1.3±4.5−1.2+2.6
FH to their forehand · return +1+1.1±4.0+1.7−0.6
FH to the middle · rally+0.7±2.5−1.4+2.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−3.0±4.5+0.3−3.4
BH to the middle · rally−2.2±2.4−1.9−0.3
FH to their forehand · rally−2.1±3.4−3.7+1.6
BH to their backhand · rally−2.1±3.3−1.5−0.6
FH to the middle · return±0.0±2.6−0.4+0.4

Jessica Bouzas Maneiro

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+2.5±4.0+1.8+0.7
FH to the middle · rally−0.1±2.5+0.8−0.9
BH to the middle · return−1.0±2.6−0.7−0.3
FH to the middle · return−1.3±2.7−1.5+0.2
BH to their backhand · rally−1.6±3.3−2.0+0.4
FH to their forehand · rally−1.7±3.2+1.3−3.1

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−7.5±2.4−5.2−2.3
FH to their forehand · return +1−6.6±4.0−3.0−3.6
BH to their backhand · serve +1−6.4±3.9−3.1−3.3
FH to the middle · serve +1−4.3±2.7−1.3−3.0
FH to their backhand · rally−3.3±3.9−2.7−0.7

Against Jessica Bouzas Maneiro-like opponents

Tereza Valentova vMatchesServe pts wonReturn pts won
All charted opponents–58.0%45.2%

Similar by tactical fingerprint: Iva Jovic, Anastasia Potapova, Karolina Pliskova, Kimberly Birrell, Varvara Gracheva, Shelby Rogers, Jennifer Brady, Eugenie Bouchard, Maria Sharapova, Louisa Chirico. When two players have rarely met, their records against these lookalikes fill the gap.