RallyIQ

Game plan

Nao Hibino v Cristina Bucsa

Every number combines what Nao Hibino does well with what Cristina Bucsa allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Nao Hibino wins, best of 3 38%90%: 13%–70% · best of 5: 35%
Serve points won 54.8% / 57.2% Nao / Cristina · tour 56.4%
Strengths only, no similarity priors 36%serve 54.4% / 57.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Nao Hibino's record against Cristina Bucsa's tactical lookalikes and in their charted head-to-heads (lookalikes: +4.4 on serve, −1.3 on return vs expectation (347 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

CareerNaoCristina
Direction choice−0.14 ±0.10
better than 27%
−0.16 ±0.12
better than 24%
Shot selection−0.13 ±0.14
better than 34%
+0.13 ±0.15
better than 59%
Execution−0.86 ±0.99
better than 22%
−0.73 ±0.87
better than 26%
Points left on the table2.71 ±0.21
lower than 32%
2.81 ±0.19
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.

Nao Hibino serving

Deuce court

1st serveNowNao winsv CristinaMatchupOptimal
Wide37%63%68%65.0%±9.352% ▲
Body33%60%62%64.6%±10.225% ▼
T30%55%65%51.6%±12.123% ▼

Optimal v Cristina Bucsa: +0.2±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNao winsv CristinaMatchupOptimal
Wide46%66%68%68.3%±9.360% ▲
Body17%55%54%53.2%±12.82% ▼
T37%60%67%63.4%±10.438%

Optimal v Cristina Bucsa: +1.0±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.4 per 100 first serves in before the returner adjusts.

Cristina Bucsa serving

Deuce court

1st serveNowCristina winsv NaoMatchupOptimal
Wide40%66%70%69.9%±9.656% ▲
Body26%47%55%44.4%±11.411% ▼
T33%66%68%66.4%±9.733%

Optimal v Nao Hibino: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCristina winsv NaoMatchupOptimal
Wide52%57%65%55.7%±9.552%
Body16%53%62%59.0%±12.21% ▼
T32%63%68%67.0%±10.947% ▲

Optimal v Nao Hibino: +0.5±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.2 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.

Nao Hibino returning

1st serve to the forehand

ReturnNowTourOwnv CristinaValue
FH through the middle40%+4.2+0.6+2.6+7.4±3.0
FH down the line22%+1.5+1.5−0.9+2.2±4.6
FH crosscourt17%+5.3−1.9+1.5+4.9±4.1
FH slice through the middle15%−6.7−2.5−1.5−10.8±2.3
FH slice crosscourt6%−6.6±0.0−0.4−7.1±1.9

Lean FH through the middle: +5.2±2.2 per 100 returns v the current mix (108 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CristinaValue
BH through the middle47%+6.0−0.4+0.7+6.3±2.7
BH crosscourt30%+7.7−1.5+2.3+8.5±3.6
BH down the line13%+2.2−1.8+0.1+0.5±4.5
BH slice crosscourt5%−4.2+0.3±0.0−3.9±1.6
BH slice through the middle5%−6.2+1.3−0.8−5.7±1.7

Lean BH crosscourt: +3.4±2.9 per 100 returns v the current mix (186 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CristinaValue
FH through the middle52%−3.2−0.8−0.7−4.7±3.0
FH down the line34%−0.6−4.0−4.0−8.5±4.7
FH crosscourt14%+0.5+0.6−2.1−1.0±3.6

Lean FH through the middle: +0.8±2.2 per 100 returns v the current mix (44 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CristinaValue
BH crosscourt43%+1.5−2.8+1.8+0.5±3.5
BH through the middle36%−2.6−1.6+0.2−3.9±2.6
BH down the line21%−0.5−1.5+1.7−0.4±4.6

Lean BH crosscourt: +1.8±2.4 per 100 returns v the current mix (47 returns charted, inside the 90% margin)

Cristina Bucsa returning

1st serve to the forehand

ReturnNowTourOwnv NaoValue
FH through the middle43%+4.2−3.0−1.3−0.1±3.1
FH crosscourt25%+5.3+4.2+1.8+11.3±4.4
FH down the line20%+1.5−1.5+2.8+2.9±4.7
FH slice through the middle6%−6.7−1.7+0.5−7.9±2.2
FH slice crosscourt6%−6.6−0.3−0.7−7.6±2.0

Lean FH crosscourt: +8.8±3.7 per 100 returns v the current mix (210 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NaoValue
BH through the middle47%+6.0+0.4+0.4+6.8±2.8
BH crosscourt26%+7.7−2.1−1.9+3.7±3.7
BH down the line24%+2.2−4.9−0.3−3.1±4.7
BH slice through the middle3%−6.2+0.6−0.6−6.3±1.7

Lean BH through the middle: +3.7±2.1 per 100 returns v the current mix (152 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NaoValue
FH through the middle63%−3.2+1.5−0.9−2.6±3.0
FH down the line22%−0.6+0.1−0.9−1.3±4.3
FH crosscourt15%+0.5+0.1−0.5+0.1±3.7

Lean FH through the middle: −0.7±1.6 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NaoValue
BH through the middle50%−2.6−1.2+2.8−1.0±2.8
BH crosscourt28%+1.5−1.1−0.5−0.1±3.5
BH down the line22%−0.5−2.0±0.0−2.5±4.9

Lean BH crosscourt: +1.0±3.1 per 100 returns v the current mix (100 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 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.

Nao Hibino

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.5±6.0+1.6+1.9
BH to their backhand · return+2.6±4.9−1.7+4.2
BH to the middle · serve +1+2.5±3.9+2.7−0.1
BH to the middle · return+1.7±3.2+0.5+1.2
FH to the middle · serve +1+0.8±3.7+1.3−0.5
BH to their backhand · serve +1+0.5±5.7−3.6+4.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−9.7±5.9−4.3−5.4
FH to their backhand · rally−6.0±4.9−5.3−0.7
BH to their forehand · rally−5.0±6.2−2.1−2.9
FH to their forehand · rally−4.8±4.5−4.3−0.5
BH to the middle · return +1−2.9±3.8−0.5−2.4

Cristina Bucsa

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+9.0±6.4+6.2+2.8
FH to their backhand · return +1+4.2±6.4−0.2+4.4
FH to their backhand · rally+2.8±4.6−0.3+3.1
BH to their backhand · rally+2.1±4.5+0.9+1.2
BH to their backhand · serve +1+2.0±5.5+0.2+1.8
FH to their forehand · return +1+1.9±5.9+0.3+1.6

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−9.5±6.2−4.9−4.5
BH to their forehand · return−7.9±6.5−6.9−0.9
FH to their forehand · serve +1−6.4±5.7−2.8−3.6
BH to their backhand · return−5.4±5.2−2.5−2.9
FH to their backhand · serve +1−4.9±5.9−0.7−4.1

Against Cristina Bucsa-like opponents

Nao Hibino vMatchesServe pts wonReturn pts won
All charted opponents–53.3%41.1%
Players most similar to Cristina Bucsa2 58.5%38.8%

Similar by tactical fingerprint: Coco Gauff, Bianca Andreescu, Marta Kostyuk, Leylah Fernandez, Sorana Cirstea, Victoria Mboko, Victoria Azarenka, Shelby Rogers, Irina Camelia Begu. When two players have rarely met, their records against these lookalikes fill the gap.