RallyIQ

Game plan

Antonia Ruzic v Su Wei Hsieh

Every number combines what Antonia Ruzic does well with what Su Wei Hsieh allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Antonia Ruzic wins, best of 3 21%90%: 5%–55% · best of 5: 16%
Serve points won 51.9% / 57.9% Antonia / Su · tour 56.3%
Strengths only, no similarity priors 21%serve 51.9% / 57.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Antonia Ruzic's record against Su Wei Hsieh'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

CareerAntoniaSu
Direction choice+0.14 ±0.12
better than 78%
+0.33 ±0.09
better than 96%
Shot selection−0.07 ±0.20
better than 39%
−0.59 ±0.14
better than 9%
Execution−0.48 ±0.76
better than 34%
+0.24 ±0.61
better than 70%

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.

Antonia Ruzic serving

Deuce court

1st serveNowAntonia winsv SuMatchupOptimal
Wide52%60%66%60.2%±8.552%
Body19%52%49%43.4%±11.94% ▼
T29%66%72%70.7%±10.244% ▲

Optimal v Su Wei Hsieh: +1.3±1.2 per 100 first serves (faults included) over the current mix. Serving T every time would read +10.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAntonia winsv SuMatchupOptimal
Wide31%50%66%50.2%±10.931%
Body20%50%59%53.3%±11.95% ▼
T49%55%68%58.4%±9.564% ▲

Optimal v Su Wei Hsieh: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.6 per 100 first serves in before the returner adjusts.

Su Wei Hsieh serving

Deuce court

1st serveNowSu winsv AntoniaMatchupOptimal
Wide48%66%66%66.8%±9.063% ▲
Body20%54%64%61.4%±10.15% ▼
T32%60%66%58.2%±11.332%

Optimal v Antonia Ruzic: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSu winsv AntoniaMatchupOptimal
Wide45%66%65%65.9%±9.960% ▲
Body20%60%61%64.6%±10.620%
T35%61%58%54.6%±10.720% ▼

Optimal v Antonia Ruzic: +0.2±1.1 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.

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.

Antonia Ruzic returning

1st serve to the forehand

ReturnNowTourOwnv SuValue
FH through the middle53%+4.2+1.3+0.7+6.1±2.8
FH crosscourt40%+5.3+0.5+1.3+7.1±4.1
FH down the line8%+1.5+0.9+2.5+4.9±3.8

Lean FH crosscourt: +0.7±2.9 per 100 returns v the current mix (91 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SuValue
BH through the middle59%+6.0+0.8+1.8+8.6±2.6
BH crosscourt26%+7.7+2.4±0.0+10.1±3.2
BH down the line8%+2.2−2.0+3.9+4.0±3.9
BH slice crosscourt7%−4.2−0.7−0.8−5.7±2.3

Lean BH crosscourt: +2.4±2.8 per 100 returns v the current mix (76 returns charted, inside the 90% margin)

Su Wei Hsieh returning

1st serve to the forehand

ReturnNowTourOwnv AntoniaValue
FH slice through the middle27%−6.7+0.5+0.8−5.4±2.1
FH crosscourt23%+5.3+4.5+6.4+16.2±4.3
FH through the middle22%+4.2+0.1+2.1+6.4±3.1
FH slice crosscourt18%−6.6−1.1+0.3−7.4±2.5
FH down the line5%+1.5+2.1+0.2+3.8±4.5

Lean FH crosscourt: +14.3±3.5 per 100 returns v the current mix (386 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AntoniaValue
BH through the middle47%+6.0+2.9+1.5+10.5±2.8
BH crosscourt35%+7.7+0.9+2.1+10.7±3.5
BH down the line9%+2.2+2.4+1.1+5.6±4.6
BH slice down the line3%−12.5−1.5±0.0−14.0±2.0
BH slice through the middle3%−6.2−0.9+1.6−5.6±1.9

Lean BH crosscourt: +2.4±2.7 per 100 returns v the current mix (338 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv AntoniaValue
FH crosscourt52%+0.5+1.5−0.6+1.4±4.0
FH through the middle23%−3.2+0.6−1.0−3.6±2.7
FH down the line15%−0.6+4.9−1.4+3.0±4.3
FH slice through the middle10%−15.2±0.0±0.0−15.2±1.3

Lean FH crosscourt: +2.6±2.1 per 100 returns v the current mix (88 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AntoniaValue
BH crosscourt47%+1.5+0.4+2.4+4.2±3.6
BH through the middle30%−2.6+0.7+1.9±0.0±2.8
BH down the line23%−0.5+0.8−1.7−1.4±4.9

Lean BH crosscourt: +2.5±2.3 per 100 returns v the current mix (207 returns charted)

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.

Antonia Ruzic

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+3.1±3.5+2.1+1.0
FH to their forehand · return+2.7±4.1+0.6+2.2
BH to the middle · return+2.1±2.3+0.1+2.1
FH to the middle · return+1.4±2.6+0.9+0.5
BH to their backhand · return+0.8±3.2−0.2+1.0
BH to their backhand · return +1+0.7±3.5±0.0+0.7

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−3.5±4.3−3.2−0.3
FH to their backhand · rally−3.3±3.6−2.5−0.9
FH to their forehand · serve +1−3.1±3.9−1.9−1.2
FH to their forehand · rally−0.8±2.9+0.2−1.0
FH to the middle · rally−0.2±2.4−1.4+1.2

Su Wei Hsieh

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+4.1±3.2+1.1+3.0
BH to the middle · return+3.7±2.4+2.0+1.7
FH to the middle · rally+3.5±2.6+0.6+2.9
FH to their backhand · rally+3.2±3.6+2.2+1.0
FH to the middle · return+3.1±2.9+1.0+2.0
FH to their forehand · rally+2.9±3.0+0.1+2.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−3.5±4.2−0.8−2.7
BH to the middle · rally−0.5±2.3+0.3−0.8
BH to their backhand · rally±0.0±2.8−1.0+1.1
BH to their backhand · serve +1+0.7±3.3+0.4+0.3
FH to the middle · serve +1+1.4±2.7+0.3+1.1

Against Su Wei Hsieh-like opponents

Antonia Ruzic vMatchesServe pts wonReturn pts won
All charted opponents–50.5%41.8%

Similar by tactical fingerprint: Anastasia Potapova, Anna Kalinskaya, Linda Klimovicova, Sorana Cirstea, Sofia Kenin, Anastasija Sevastova, Anhelina Kalinina, R, Elena Vesnina. When two players have rarely met, their records against these lookalikes fill the gap.