RallyIQ

Game plan

Antonia Ruzic v Yulia Putintseva

Every number combines what Antonia Ruzic does well with what Yulia Putintseva 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 33%90%: 10%–67% · best of 5: 29%
Serve points won 53.9% / 57.2% Antonia / Yulia · tour 56.4%
Strengths only, no similarity priors 33%serve 53.9% / 57.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Yulia Putintseva'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

CareerAntoniaYulia
Direction choice+0.14 ±0.12
better than 78%
−0.04 ±0.06
better than 48%
Shot selection−0.07 ±0.20
better than 39%
−0.42 ±0.13
better than 15%
Execution−0.48 ±0.76
better than 34%
+0.53 ±0.56
better than 80%

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 YuliaMatchupOptimal
Wide52%60%68%62.4%±8.267% ▲
Body19%52%62%56.2%±11.54% ▼
T29%66%66%64.4%±11.229%

Optimal v Yulia Putintseva: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAntonia winsv YuliaMatchupOptimal
Wide31%50%70%54.9%±10.731%
Body20%50%54%48.7%±11.75% ▼
T49%55%68%58.4%±9.564% ▲

Optimal v Yulia Putintseva: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.0 per 100 first serves in before the returner adjusts.

Yulia Putintseva serving

Deuce court

1st serveNowYulia winsv AntoniaMatchupOptimal
Wide58%60%66%60.7%±9.458%
Body18%52%64%58.9%±10.23% ▼
T24%66%66%64.3%±10.939% ▲

Optimal v Antonia Ruzic: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowYulia winsv AntoniaMatchupOptimal
Wide49%60%65%59.9%±10.143% ▼
Body17%52%61%56.9%±11.420% ▲
T33%59%58%52.2%±10.537% ▲

Optimal v Antonia Ruzic: ±0.0±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.1 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.

Antonia Ruzic returning

1st serve to the forehand

ReturnNowTourOwnv YuliaValue
FH through the middle53%+4.2+1.3+0.1+5.5±2.7
FH crosscourt40%+5.3+0.5+1.4+7.2±4.0
FH down the line8%+1.5+0.9+6.2+8.7±3.7

Lean FH crosscourt: +0.8±2.8 per 100 returns v the current mix (91 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv YuliaValue
BH through the middle59%+6.0+0.8+0.9+7.8±2.6
BH crosscourt26%+7.7+2.4+1.2+11.4±3.1
BH down the line8%+2.2−2.0+0.9+1.1±3.8
BH slice crosscourt7%−4.2−0.7−0.2−5.1±2.0

Lean BH crosscourt: +4.0±2.8 per 100 returns v the current mix (76 returns charted)

Yulia Putintseva returning

1st serve to the forehand

ReturnNowTourOwnv AntoniaValue
FH through the middle47%+4.2−0.6+2.1+5.7±2.9
FH down the line25%+1.5+1.1+0.2+2.8±4.6
FH crosscourt16%+5.3−5.1+6.4+6.6±4.4
FH slice through the middle7%−6.7+0.8+0.8−5.1±2.1
FH slice crosscourt5%−6.6−1.0+0.3−7.3±2.4

Lean FH crosscourt: +2.9±4.1 per 100 returns v the current mix (415 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AntoniaValue
BH through the middle38%+6.0+1.8+1.5+9.4±2.8
BH crosscourt28%+7.7+1.9+2.1+11.7±3.5
BH slice through the middle12%−6.2−1.6+1.6−6.3±2.2
BH down the line12%+2.2+0.5+1.1+3.7±4.6
BH slice crosscourt5%−4.2+0.2±0.0−3.9±1.9

Lean BH crosscourt: +5.9±2.8 per 100 returns v the current mix (371 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AntoniaValue
FH through the middle51%−3.2−0.1−1.0−4.3±2.9
FH down the line30%−0.6−4.4−1.4−6.3±4.7
FH crosscourt19%+0.5−1.0−0.6−1.1±3.8

Lean FH crosscourt: +3.2±3.7 per 100 returns v the current mix (107 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AntoniaValue
BH through the middle44%−2.6+0.6+1.9−0.1±2.7
BH crosscourt36%+1.5±0.0+2.4+3.8±3.6
BH down the line17%−0.5−2.5−1.7−4.7±4.9
FH through the middle3%−2.7+0.7−1.0−3.0±2.0

Lean BH crosscourt: +3.4±2.7 per 100 returns v the current mix (230 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 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.

Antonia Ruzic

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+4.2±5.8+1.4+2.8
BH to their backhand · serve +1+4.1±4.9+2.4+1.6
BH to the middle · rally+2.8±2.9+2.7+0.1
BH to the middle · return+2.3±3.2+0.6+1.8
FH to the middle · return+2.3±3.6+0.8+1.5
BH to their backhand · rally+2.2±3.5+1.0+1.3

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−5.9±5.9−3.0−2.9
FH to their backhand · rally−4.7±4.9−5.6+0.9
FH to the middle · rally−2.4±3.3−1.5−0.9
FH to their forehand · return +1−0.7±5.4±0.0−0.7
BH to their backhand · return +1+0.5±4.8+0.1+0.4

Yulia Putintseva

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+6.5±3.2+3.0+3.5
FH to their forehand · rally+3.0±4.1+0.1+2.9
FH to the middle · serve +1+2.8±3.7+1.4+1.4
BH to their backhand · return+2.5±4.7−0.7+3.2
FH to the middle · return+2.4±3.7−0.8+3.2
BH to their backhand · rally+1.4±4.0+3.9−2.6

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−5.7±6.1+1.0−6.7
FH to their backhand · return−3.6±6.0−4.1+0.5
BH to the middle · rally−0.1±3.0+1.5−1.7
BH to their backhand · serve +1−0.1±5.0−0.2±0.0
FH to their backhand · rally−0.1±4.6−0.6+0.5

Against Yulia Putintseva-like opponents

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

Similar by tactical fingerprint: Camila Osorio, Marie Bouzkova, Emma Navarro, Emma Raducanu, Lin Zhu, Anastasija Sevastova, Clara Burel, Alize Cornet, Elena Dementieva. When two players have rarely met, their records against these lookalikes fill the gap.