RallyIQ

Game plan

Anett Kontaveit v Shuai Zhang

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

Forecast

Anett Kontaveit wins, best of 3 91%90%: 79%–97% · best of 5: 95%
Serve points won 62.0% / 51.7% Anett / Shuai · tour 56.4%
Strengths only, no similarity priors 91%serve 62.3% / 52.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Anett Kontaveit's record against Shuai Zhang's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.6 on serve, +3.3 on return vs expectation (653 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

CareerAnettShuai
Direction choice+0.16 ±0.07
better than 81%
+0.05 ±0.16
better than 64%
Shot selection+0.05 ±0.09
better than 51%
+0.37 ±0.17
better than 87%
Execution+0.27 ±0.43
better than 71%
−0.41 ±0.83
better than 38%
Points left on the table2.30 ±0.09
lower than 85%
2.51 ±0.19
lower than 65%

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.

Anett Kontaveit serving

Deuce court

1st serveNowAnett winsv ShuaiMatchupOptimal
Wide43%67%69%69.7%±6.459% ▲
Body13%57%56%55.8%±9.30% ▼
T43%68%75%75.0%±6.541% ▼

Optimal v Shuai Zhang: +1.2±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnett winsv ShuaiMatchupOptimal
Wide47%67%71%72.2%±6.747%
Body17%61%56%61.2%±9.32% ▼
T36%66%66%67.6%±7.251% ▲

Optimal v Shuai Zhang: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Shuai Zhang serving

Deuce court

1st serveNowShuai winsv AnettMatchupOptimal
Wide42%64%68%66.0%±6.757% ▲
Body19%58%55%56.1%±9.34% ▼
T39%61%70%63.1%±6.939%

Optimal v Anett Kontaveit: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowShuai winsv AnettMatchupOptimal
Wide39%63%65%62.7%±7.254% ▲
Body16%55%55%53.4%±10.59% ▼
T46%56%62%53.0%±7.337% ▼

Optimal v Anett Kontaveit: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.9 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.

Anett Kontaveit returning

1st serve to the forehand

ReturnNowTourOwnv ShuaiValue
FH through the middle43%+4.2−0.4+1.4+5.1±2.5
FH crosscourt35%+5.3−0.6±0.0+4.7±3.9
FH down the line10%+1.5−0.6−0.9±0.0±4.7
FH slice through the middle6%−6.7−1.6+0.7−7.6±2.5
FH slice crosscourt3%−6.6−0.3+1.1−5.8±2.1

Lean FH through the middle: +2.3±2.0 per 100 returns v the current mix (556 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ShuaiValue
BH through the middle44%+6.0+0.5+2.3+8.8±2.3
BH crosscourt37%+7.7−0.3+0.5+8.0±3.1
BH down the line10%+2.2−0.2+1.2+3.2±4.7
BH slice through the middle4%−6.2−1.8−0.5−8.5±2.5
BH slice down the line3%−12.5−2.5+1.6−13.4±2.8

Lean BH through the middle: +2.5±1.8 per 100 returns v the current mix (580 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ShuaiValue
FH crosscourt48%+0.5+0.9+4.7+6.2±4.5
FH through the middle39%−3.2−3.1+0.6−5.6±3.1
FH down the line13%−0.6−2.4−6.7−9.7±4.8

Lean FH crosscourt: +6.6±2.7 per 100 returns v the current mix (106 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ShuaiValue
BH crosscourt43%+1.5±0.0−0.1+1.4±3.5
BH through the middle35%−2.6−1.0+0.4−3.2±2.6
BH down the line21%−0.5+4.9+3.3+7.6±5.2

Lean BH down the line: +6.5±4.4 per 100 returns v the current mix (309 returns charted)

Shuai Zhang returning

1st serve to the forehand

ReturnNowTourOwnv AnettValue
FH through the middle47%+4.2−0.2−0.5+3.5±2.5
FH crosscourt33%+5.3−1.5+0.7+4.6±4.2
FH down the line17%+1.5+1.7+0.3+3.6±4.5
FH slice through the middle3%−6.7−1.0+1.2−6.5±2.2

Lean FH crosscourt: +1.0±3.1 per 100 returns v the current mix (273 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AnettValue
BH through the middle43%+6.0−3.0−0.7+2.3±2.4
BH crosscourt31%+7.7−2.4+0.8+6.2±3.3
BH down the line14%+2.2+0.2−2.5−0.1±4.6
BH slice through the middle8%−6.2−1.6−1.0−8.9±2.4
BH slice down the line3%−12.5−0.8−2.1−15.4±2.6

Lean BH crosscourt: +4.6±2.6 per 100 returns v the current mix (201 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnettValue
FH through the middle51%−3.2−2.0−1.5−6.7±2.9
FH crosscourt36%+0.5−0.8−0.7−1.0±4.1
FH down the line13%−0.6−1.2−1.9−3.6±4.4

Lean FH crosscourt: +3.3±3.1 per 100 returns v the current mix (70 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AnettValue
BH crosscourt41%+1.5+1.9−2.8+0.7±3.4
BH through the middle40%−2.6−1.2−0.7−4.5±2.5
BH down the line19%−0.5−0.7+0.3−0.9±5.0

Lean BH crosscourt: +2.4±2.5 per 100 returns v the current mix (98 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 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.

Anett Kontaveit

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+7.6±5.6+1.6+6.1
BH to their backhand · return +1+6.2±4.2+3.1+3.1
BH to their forehand · return+5.9±5.9+0.5+5.5
FH to their forehand · return+4.4±4.5+1.4+3.0
FH to their forehand · return +1+4.0±4.4+0.3+3.6
FH to their forehand · serve +1+1.9±4.2−0.9+2.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−6.6±5.6−1.3−5.3
BH to the middle · return +1−4.2±3.2−2.7−1.5
FH to their backhand · serve +1−3.4±5.0−7.9+4.4
FH to the middle · return +1−3.1±3.4−2.5−0.6
FH to their backhand · return +1−1.4±5.7−1.3−0.1

Shuai Zhang

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+5.8±6.1+1.2+4.5
BH to their forehand · rally+3.8±5.0+3.0+0.8
FH to their backhand · serve +1+3.0±4.9+1.8+1.1
FH to the middle · return +1+0.9±3.5+0.4+0.5
FH to the middle · rally+0.3±2.5+0.2+0.1
BH to the middle · rally−0.2±2.3−0.5+0.3

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−4.1±5.8−0.7−3.4
BH to the middle · return−3.7±2.3−3.4−0.3
FH to their forehand · return +1−3.6±4.4−1.9−1.7
BH to their backhand · serve +1−3.6±4.0−2.6−1.0
BH to the middle · return +1−2.8±3.2−2.2−0.6

Against Shuai Zhang-like opponents

Anett Kontaveit vMatchesServe pts wonReturn pts won
All charted opponents–59.6%43.1%
Players most similar to Shuai Zhang4 53.4%42.7%

Similar by tactical fingerprint: Iva Jovic, Karolina Pliskova, Ashlyn Krueger, Iga Swiatek, Maya Joint, Veronika Kudermetova, Garbine Muguruza, R, Maria Sharapova. When two players have rarely met, their records against these lookalikes fill the gap.