RallyIQ

Game plan

Shuai Zhang v Elisabetta Cocciaretto

Every number combines what Shuai Zhang does well with what Elisabetta Cocciaretto allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Shuai Zhang wins, best of 3 57%90%: 16%–91% · best of 5: 58%
Serve points won 59.3% / 58.0% Shuai / Elisabetta · tour 58.1%
Strengths only, no similarity priors 58%serve 59.7% / 58.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Shuai Zhang's record against Elisabetta Cocciaretto's tactical lookalikes and in their charted head-to-heads (lookalikes: −4.6 on serve, +1.7 on return vs expectation (270 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

CareerShuaiElisabetta
Direction choice+0.05 ±0.16
better than 64%
+0.03 ±0.16
better than 58%
Shot selection+0.37 ±0.17
better than 87%
+0.06 ±0.24
better than 53%
Execution−0.41 ±0.83
better than 38%
+0.11 ±1.13
better than 66%
Points left on the table2.51 ±0.19
lower than 65%
2.37 ±0.20
lower than 78%

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.

Shuai Zhang serving

Deuce court

1st serveNowShuai winsv ElisabettaMatchupOptimal
Wide42%64%70%68.2%±9.157% ▲
Body19%58%51%51.6%±11.14% ▼
T39%61%64%56.5%±10.039%

Optimal v Elisabetta Cocciaretto: +1.0±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 serveNowShuai winsv ElisabettaMatchupOptimal
Wide39%63%70%67.2%±9.354% ▲
Body16%55%58%56.3%±11.812% ▼
T46%56%60%51.4%±10.334% ▼

Optimal v Elisabetta Cocciaretto: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +9.0 per 100 first serves in before the returner adjusts.

Elisabetta Cocciaretto serving

Deuce court

1st serveNowElisabetta winsv ShuaiMatchupOptimal
Wide35%66%69%69.3%±8.635%
Body24%58%56%55.9%±11.09% ▼
T40%71%75%77.5%±7.856% ▲

Optimal v Shuai Zhang: +1.6±1.2 per 100 first serves (faults included) over the current mix. Serving T every time would read +8.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowElisabetta winsv ShuaiMatchupOptimal
Wide20%58%71%64.1%±11.535% ▲
Body25%50%56%50.4%±11.810% ▼
T55%57%66%58.1%±9.355%

Optimal v Shuai Zhang: +0.8±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.8 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.

Shuai Zhang returning

1st serve to the forehand

ReturnNowTourOwnv ElisabettaValue
FH through the middle47%+4.2−0.2−1.7+2.3±2.9
FH crosscourt33%+5.3−1.5−0.7+3.2±4.3
FH down the line17%+1.5+1.7+1.2+4.5±4.6
FH slice through the middle3%−6.7−1.0−1.2−8.9±1.7

Lean FH down the line: +1.9±4.3 per 100 returns v the current mix (273 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ElisabettaValue
BH through the middle43%+6.0−3.0+1.6+4.6±2.8
BH crosscourt31%+7.7−2.4−0.3+5.1±3.7
BH down the line14%+2.2+0.2+3.1+5.5±4.6
BH slice through the middle8%−6.2−1.6+0.9−6.9±1.9
BH slice down the line3%−12.5−0.8±0.0−13.3±1.7

Lean BH down the line: +2.2±4.3 per 100 returns v the current mix (201 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv ElisabettaValue
FH through the middle51%−3.2−2.0+2.2−3.0±3.0
FH crosscourt36%+0.5−0.8−1.1−1.4±4.3
FH down the line13%−0.6−1.2−1.2−2.9±4.4

Lean FH crosscourt: +1.0±3.2 per 100 returns v the current mix (70 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ElisabettaValue
BH crosscourt41%+1.5+1.9+0.7+4.1±3.7
BH through the middle40%−2.6−1.2−1.1−4.9±2.8
BH down the line19%−0.5−0.7+0.6−0.5±4.9

Lean BH crosscourt: +4.5±2.6 per 100 returns v the current mix (98 returns charted)

Elisabetta Cocciaretto returning

1st serve to the forehand

ReturnNowTourOwnv ShuaiValue
FH through the middle46%+4.2+0.3+1.4+5.8±2.9
FH crosscourt25%+5.3+2.2±0.0+7.5±4.2
FH down the line16%+1.5+0.7−0.9+1.3±4.4
FH slice crosscourt7%−6.6+0.6+1.1−4.9±1.8
FH slice through the middle7%−6.7+1.4+0.7−4.6±2.1

Lean FH crosscourt: +3.4±3.5 per 100 returns v the current mix (116 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ShuaiValue
BH through the middle48%+6.0±0.0+2.3+8.3±2.7
BH down the line16%+2.2±0.0+1.2+3.4±4.5
BH crosscourt14%+7.7−0.9+0.5+7.3±3.3
BH slice through the middle10%−6.2+1.0−0.5−5.7±2.3
FH through the middle8%+5.1+0.6+1.4+7.1±2.2

Lean BH through the middle: +3.0±1.7 per 100 returns v the current mix (128 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ShuaiValue
BH through the middle54%−2.6+1.4+0.4−0.8±2.7
BH crosscourt30%+1.5+1.6−0.1+3.0±3.5
BH down the line17%−0.5−4.5+3.3−1.8±4.7

Lean BH crosscourt: +2.8±3.0 per 100 returns v the current mix (71 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Shuai Zhang

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+7.8±5.3+6.9+0.8
BH to their forehand · serve +1+3.3±5.8+3.0+0.3
BH to their forehand · return+2.2±5.4−0.7+2.9
BH to their forehand · rally+2.1±5.5+1.7+0.4
BH to their backhand · rally+2.1±4.6+1.7+0.4
BH to their backhand · serve +1+1.9±4.4−0.6+2.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−7.2±5.5−1.3−5.9
FH to their forehand · rally−5.3±5.0−1.2−4.1
FH to their forehand · serve +1−3.5±5.7−0.7−2.8
FH to their backhand · return +1−3.3±4.4+0.9−4.2
BH to their backhand · return−2.1±5.0+1.2−3.3

Elisabetta Cocciaretto

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+6.8±6.2+2.1+4.8
FH to their forehand · return +1+6.3±4.7+2.7+3.6
FH to their forehand · rally+4.8±4.9+2.4+2.4
FH to their backhand · rally+4.7±5.5+0.3+4.4
FH to the middle · return+4.3±3.9+2.3+2.0
BH to their backhand · return +1+3.2±3.6+1.0+2.2

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−1.4±3.4−4.2+2.9
FH to their forehand · serve +1−0.3±4.9+0.6−0.9
BH to the middle · serve +1+0.3±3.3−1.0+1.4
FH to their backhand · serve +1+0.8±5.3−0.7+1.5
BH to the middle · rally+1.1±3.3−0.6+1.7

Against Elisabetta Cocciaretto-like opponents

Shuai Zhang vMatchesServe pts wonReturn pts won
All charted opponents–53.5%40.3%
Players most similar to Elisabetta Cocciaretto2 51.1%43.8%

Similar by tactical fingerprint: Ashlyn Krueger, Jessica Pegula, Heather Watson, Anna Karolina Schmiedlova, Qiang Wang, Andrea Petkovic, Carla Suarez Navarro, Dominika Cibulkova, Marion Bartoli. When two players have rarely met, their records against these lookalikes fill the gap.