RallyIQ

Game plan

Yulia Putintseva v Gabriela Sabatini

Every number combines what Yulia Putintseva does well with what Gabriela Sabatini allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Yulia Putintseva wins, best of 3 18%90%: 5%–42% · best of 5: 12%
Serve points won 52.5% / 59.6% Yulia / Gabriela · tour 56.4%
Strengths only, no similarity priors 18%serve 52.5% / 59.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerYuliaGabriela
Direction choice−0.04 ±0.06
better than 48%
+0.07 ±0.21
better than 69%
Shot selection−0.42 ±0.13
better than 15%
−0.44 ±0.25
better than 13%
Execution+0.53 ±0.56
better than 80%
+0.70 ±0.72
better than 85%
Points left on the table2.72 ±0.10
lower than 31%
3.01 ±0.32
lower than 11%

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.

Yulia Putintseva serving

Deuce court

1st serveNowYulia winsv GabrielaMatchupOptimal
Wide58%60%59%52.7%±7.258%
Body18%52%48%42.8%±9.73% ▼
T24%66%64%62.0%±9.239% ▲

Optimal v Gabriela Sabatini: +0.8±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowYulia winsv GabrielaMatchupOptimal
Wide49%60%62%56.3%±7.450%
Body17%52%53%48.2%±11.22% ▼
T33%59%58%52.1%±9.848% ▲

Optimal v Gabriela Sabatini: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.8 per 100 first serves in before the returner adjusts.

Gabriela Sabatini serving

Deuce court

1st serveNowGabriela winsv YuliaMatchupOptimal
Wide32%63%68%65.6%±8.147% ▲
Body24%62%62%66.1%±9.224%
T44%62%66%59.9%±8.529% ▼

Optimal v Yulia Putintseva: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGabriela winsv YuliaMatchupOptimal
Wide51%64%70%68.1%±7.351%
Body18%65%54%62.9%±10.53% ▼
T31%60%68%63.3%±9.246% ▲

Optimal v Yulia Putintseva: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 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.

Yulia Putintseva returning

1st serve to the forehand

ReturnNowTourOwnv GabrielaValue
FH through the middle47%+4.2−0.6−2.2+1.3±2.8
FH down the line25%+1.5+1.1+1.5+4.1±4.6
FH crosscourt16%+5.3−5.1+2.5+2.7±4.3
FH slice through the middle7%−6.7+0.8−0.3−6.2±2.4
FH slice crosscourt5%−6.6−1.0+1.6−6.0±2.3

Lean FH down the line: +2.8±3.8 per 100 returns v the current mix (415 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv GabrielaValue
BH through the middle38%+6.0+1.8−2.3+5.5±2.8
BH crosscourt28%+7.7+1.9+1.2+10.8±3.5
BH slice through the middle12%−6.2−1.6+0.4−7.5±2.5
BH down the line12%+2.2+0.5−0.2+2.5±4.5
BH slice crosscourt5%−4.2+0.2+3.8−0.1±2.8

Lean BH crosscourt: +6.7±2.8 per 100 returns v the current mix (371 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GabrielaValue
FH through the middle51%−3.2−0.1+0.4−2.8±3.1
FH down the line30%−0.6−4.4+0.2−4.8±5.2
FH crosscourt19%+0.5−1.0+4.5+4.1±4.2

Lean FH crosscourt: +6.2±4.1 per 100 returns v the current mix (107 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GabrielaValue
BH through the middle44%−2.6+0.6−1.2−3.2±2.6
BH crosscourt36%+1.5±0.0+0.1+1.6±3.3
BH down the line17%−0.5−2.5±0.0−3.0±4.5
FH through the middle3%−2.7+0.7+0.4−1.6±2.2

Lean BH crosscourt: +3.0±2.5 per 100 returns v the current mix (230 returns charted)

Gabriela Sabatini returning

1st serve to the forehand

ReturnNowTourOwnv YuliaValue
FH through the middle38%+4.2−1.1+0.1+3.1±2.7
FH down the line33%+1.5+2.8+6.2+10.5±4.4
FH slice through the middle14%−6.7+2.0−0.9−5.6±2.4
FH crosscourt9%+5.3+2.2+1.4+8.9±3.8
FH slice down the line7%−10.5+2.6+0.4−7.5±2.5

Lean FH down the line: +6.4±3.2 per 100 returns v the current mix (210 returns charted)

1st serve to the backhand

ReturnNowTourOwnv YuliaValue
BH slice crosscourt29%−4.2+3.6−0.2−0.8±2.6
BH slice through the middle26%−6.2+3.9+0.9−1.4±2.5
BH through the middle24%+6.0−6.6+0.9+0.3±2.6
BH crosscourt10%+7.7±0.0+1.2+9.0±3.2
BH down the line8%+2.2−1.2+0.9+1.9±4.4

Lean BH crosscourt: +8.8±3.2 per 100 returns v the current mix (257 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv YuliaValue
FH down the line40%−0.6+4.1+5.1+8.6±5.2
FH through the middle30%−3.2+0.9+0.4−1.9±3.0
FH slice through the middle13%−15.2+2.2±0.0−13.0±1.5
FH crosscourt10%+0.5+1.6+3.6+5.7±3.8
FH slice down the line7%−14.1+3.5±0.0−10.6±1.6

Lean FH down the line: +7.5±3.3 per 100 returns v the current mix (92 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv YuliaValue
FH inside-out26%+1.4+0.1+5.1+6.5±4.2
BH slice crosscourt19%−7.5+3.6±0.0−3.8±1.8
BH crosscourt15%+1.5+0.7−2.1+0.1±3.2
BH through the middle12%−2.6+0.2+1.2−1.3±2.3
BH slice through the middle11%−11.7+0.8±0.0−10.9±1.3

Lean FH inside-out: +6.9±3.2 per 100 returns v the current mix (84 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.

Yulia Putintseva

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · rally+7.2±3.0+1.9+5.3
BH slice to the middle · rally+3.0±2.8+1.4+1.6
BH to their backhand · rally+3.0±3.2+3.9−1.0
BH slice to their forehand · rally+2.0±4.9−3.9+6.0
FH to their forehand · return +1+1.5±5.5+2.0−0.5
FH to the middle · rally+0.7±2.8+3.0−2.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−4.9±5.0−1.5−3.4
FH to the middle · return−3.1±3.4−0.8−2.3
BH to their backhand · return +1−2.6±5.1+1.6−4.2
FH to their backhand · rally−2.5±3.6−0.6−1.9
FH to their forehand · rally−2.4±3.1+0.1−2.5

Gabriela Sabatini

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+11.9±5.1+2.6+9.3
BH slice to their backhand · rally+4.4±3.5+5.8−1.4
FH to their forehand · rally+3.9±3.4+1.7+2.2
FH to the middle · serve +1+3.7±3.8+1.3+2.4
BH slice to the middle · rally+3.4±3.3+3.3+0.1
FH to their forehand · serve +1+3.4±5.4+1.0+2.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−6.0±5.8−2.7−3.4
BH to their forehand · rally−4.3±5.3−1.5−2.9
BH to the middle · return−2.4±3.1−4.1+1.8
BH to their backhand · serve +1−1.5±5.0−3.1+1.6
BH to the middle · rally−1.3±2.6−1.5+0.1

Against Gabriela Sabatini-like opponents

Yulia Putintseva vMatchesServe pts wonReturn pts won
All charted opponents–53.8%40.1%

Similar by tactical fingerprint: Saisai Zheng, Vera Zvonareva, Agnieszka Radwanska, Francesca Schiavone, Jelena Jankovic, Amelie Mauresmo, Martina Hingis, Conchita Martinez, Arantxa Sanchez Vicario, Chris Evert. When two players have rarely met, their records against these lookalikes fill the gap.