RallyIQ

Game plan

Arantxa Rus v Nao Hibino

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

Forecast

Arantxa Rus wins, best of 3 57%90%: 26%–84% · best of 5: 59%
Serve points won 57.2% / 55.7% Arantxa / Nao · tour 56.3%
Strengths only, no similarity priors 65%serve 57.8% / 54.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Arantxa Rus's record against Nao Hibino's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.7 on serve, −5.6 on return vs expectation (375 points); head-to-head: −10.0 on serve, −7.3 on return vs expectation (135 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

CareerArantxaNao
Direction choice−0.45 ±0.06
better than 1%
−0.14 ±0.10
better than 27%
Shot selection+0.06 ±0.09
better than 52%
−0.13 ±0.14
better than 34%
Execution+0.02 ±0.34
better than 62%
−0.86 ±0.99
better than 22%
Points left on the table3.21 ±0.11
lower than 5%
2.71 ±0.21
lower than 32%

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.

Arantxa Rus serving

Deuce court

1st serveNowArantxa winsv NaoMatchupOptimal
Wide32%64%70%67.7%±8.347% ▲
Body28%56%55%53.6%±9.313% ▼
T40%59%68%59.5%±8.240%

Optimal v Nao Hibino: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowArantxa winsv NaoMatchupOptimal
Wide52%62%65%60.9%±7.352%
Body24%57%62%62.8%±8.99% ▼
T24%63%68%66.7%±9.539% ▲

Optimal v Nao Hibino: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.0 per 100 first serves in before the returner adjusts.

Nao Hibino serving

Deuce court

1st serveNowNao winsv ArantxaMatchupOptimal
Wide37%63%61%57.2%±8.322% ▼
Body33%60%55%57.4%±8.533%
T30%55%69%56.1%±9.545% ▲

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

Ad court

1st serveNowNao winsv ArantxaMatchupOptimal
Wide46%66%60%60.5%±8.346%
Body17%55%56%55.2%±10.62% ▼
T37%60%64%60.0%±8.452% ▲

Optimal v Arantxa Rus: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.1 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.

Arantxa Rus returning

1st serve to the forehand

ReturnNowTourOwnv NaoValue
FH through the middle49%+4.2+2.7−1.3+5.6±2.6
FH down the line27%+1.5+1.1+1.8+4.4±4.3
FH crosscourt14%+5.3−0.5+2.8+7.7±4.2
FH slice through the middle6%−6.7−3.6+0.5−9.8±2.5
FH slice down the line2%−10.5−2.1−0.7−13.3±2.6

Lean FH crosscourt: +3.7±4.0 per 100 returns v the current mix (711 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NaoValue
BH through the middle54%+6.0+1.1+0.4+7.5±2.3
BH crosscourt20%+7.7−3.4−0.3+4.0±3.3
BH down the line19%+2.2−1.7−1.9−1.5±4.3
BH slice through the middle3%−6.2−2.1−0.6−9.0±2.2
BH slice crosscourt2%−4.2−1.8±0.0−5.9±1.9

Lean BH through the middle: +3.3±1.5 per 100 returns v the current mix (1042 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NaoValue
FH through the middle46%−3.2+1.7−0.9−2.4±3.0
FH crosscourt30%+0.5+0.3−0.9±0.0±4.2
FH down the line24%−0.6+0.4−0.5−0.7±5.2

Lean FH crosscourt: +1.3±3.5 per 100 returns v the current mix (236 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NaoValue
BH through the middle42%−2.6+1.3+2.8+1.6±2.5
BH crosscourt22%+1.5−3.1±0.0−1.6±3.5
FH through the middle17%−2.7+1.2−0.9−2.4±2.7
BH down the line8%−0.5−0.4−0.5−1.4±5.1
FH inside-in8%+0.7−3.8−0.9−3.9±4.5

Lean BH through the middle: +2.0±1.8 per 100 returns v the current mix (445 returns charted)

Nao Hibino returning

1st serve to the forehand

ReturnNowTourOwnv ArantxaValue
FH through the middle40%+4.2+0.6−0.2+4.6±2.5
FH down the line22%+1.5+1.5−3.5−0.4±4.1
FH crosscourt17%+5.3−1.9+3.1+6.5±3.6
FH slice through the middle15%−6.7−2.5−2.9−12.1±2.4
FH slice crosscourt6%−6.6±0.0+1.7−5.0±2.3

Lean FH crosscourt: +5.8±3.3 per 100 returns v the current mix (108 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ArantxaValue
BH through the middle47%+6.0−0.4+1.0+6.6±2.2
BH crosscourt30%+7.7−1.5+3.1+9.3±3.0
BH down the line13%+2.2−1.8−1.1−0.8±3.9
BH slice crosscourt5%−4.2+0.3+0.7−3.1±2.7
BH slice through the middle5%−6.2+1.3+1.0−3.9±2.2

Lean BH crosscourt: +3.9±2.4 per 100 returns v the current mix (186 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ArantxaValue
FH through the middle52%−3.2−0.8+0.7−3.2±2.5
FH down the line34%−0.6−4.0−3.2−7.7±4.4
FH crosscourt14%+0.5+0.6−1.1±0.0±3.2

Lean FH through the middle: +1.1±1.9 per 100 returns v the current mix (44 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ArantxaValue
BH crosscourt43%+1.5−2.8−2.4−3.8±3.5
BH through the middle36%−2.6−1.6−0.5−4.7±2.5
BH down the line21%−0.5−1.5−3.0−5.1±4.6

Lean BH crosscourt: +0.6±2.4 per 100 returns v the current mix (47 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.

Arantxa Rus

Favour

ShotEdgeOwnTheirs
BH to the middle · return+4.0±1.9+2.3+1.7
FH to their backhand · rally+3.7±2.6+0.9+2.8
FH to their backhand · return +1+3.6±3.5+0.7+2.9
BH to the middle · return +1+3.0±2.1+1.5+1.4
FH to the middle · rally+2.3±1.9+1.3+1.0
FH to their forehand · return +1+1.4±3.6−0.1+1.5

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−5.1±3.1−3.8−1.3
FH to their forehand · rally−2.9±2.5−1.0−1.9
FH to their forehand · serve +1−2.9±3.3±0.0−2.9
BH to their backhand · rally−2.4±2.6−3.2+0.9
BH to their backhand · serve +1−2.2±3.3−2.4+0.1

Nao Hibino

Favour

ShotEdgeOwnTheirs
BH to the middle · return+3.6±2.0+0.9+2.6
BH to the middle · serve +1+2.6±2.3+1.3+1.3
BH to their forehand · rally+1.8±3.4±0.0+1.8
FH to their backhand · serve +1+0.9±3.3+1.4−0.5
BH to the middle · return +1+0.9±2.2+0.4+0.4
FH to the middle · rally+0.5±1.8+0.7−0.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−5.2±3.3−2.9−2.3
FH to their forehand · rally−4.7±2.6−2.2−2.5
FH to their forehand · serve +1−4.5±3.4−2.5−2.0
BH to their backhand · return−2.1±3.2−1.9−0.2
BH to their backhand · rally−2.1±2.6−0.4−1.7

Against Nao Hibino-like opponents

Arantxa Rus vMatchesServe pts wonReturn pts won
All charted opponents–56.3%45.2%
Players most similar to Nao Hibino3 54.3%36.7%
Nao Hibino (charted head-to-head)1 47.8%37.9%

Similar by tactical fingerprint: Iva Jovic, Diana Shnaider, Xin Yu Wang, Bianca Andreescu, Marta Kostyuk, Jasmine Paolini, Emma Navarro, Jaqueline Cristian, Emma Raducanu, Irina Camelia Begu. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head