RallyIQ

Game plan

Serena Williams v Maria Sharapova

Every number combines what Serena Williams does well with what Maria Sharapova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Serena Williams wins, best of 3 82%90%: 67%–92% · best of 5: 87%
Serve points won 62.4% / 55.3% Serena / Maria · tour 55.0%
Strengths only, no similarity priors 77%serve 61.8% / 56.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Serena Williams's record against Maria Sharapova's tactical lookalikes and in their charted head-to-heads (lookalikes: −2.6 on serve, −2.9 on return vs expectation (1108 points); head-to-head: +3.7 on serve, +4.9 on return vs expectation (1618 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

CareerSerenaMaria
Direction choice+0.34 ±0.04
better than 97%
+0.20 ±0.04
better than 85%
Shot selection+0.47 ±0.05
better than 93%
+0.35 ±0.06
better than 83%
Execution−0.04 ±0.27
better than 59%
−0.22 ±0.24
better than 47%
Points left on the table2.20 ±0.07
lower than 94%
2.22 ±0.05
lower than 92%

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.

Serena Williams serving

Deuce court

1st serveNowSerena winsv MariaMatchupOptimal
Wide50%70%62%66.4%±3.043% ▼
Body8%62%55%59.9%±5.60% ▼
T42%79%68%79.3%±2.757% ▲

Optimal v Maria Sharapova: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +8.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSerena winsv MariaMatchupOptimal
Wide45%75%67%76.2%±2.960% ▲
Body6%60%54%57.4%±6.30% ▼
T49%70%64%68.9%±3.040% ▼

Optimal v Maria Sharapova: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.8 per 100 first serves in before the returner adjusts.

Maria Sharapova serving

Deuce court

1st serveNowMaria winsv SerenaMatchupOptimal
Wide48%69%65%68.0%±3.063% ▲
Body16%60%53%56.0%±4.61% ▼
T36%74%66%71.6%±3.236%

Optimal v Serena Williams: +1.3±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMaria winsv SerenaMatchupOptimal
Wide33%69%66%69.0%±3.548% ▲
Body10%57%57%57.7%±5.40% ▼
T56%68%61%64.7%±3.052% ▼

Optimal v Serena Williams: +0.4±0.6 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.

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.

Serena Williams returning

1st serve to the forehand

ReturnNowTourOwnv MariaValue
FH through the middle49%+4.2−2.6−0.6+0.9±1.3
FH crosscourt36%+5.3−1.6−1.7+2.0±2.2
FH down the line11%+1.5−0.4+0.8+1.9±3.3
BH through the middle1%+5.2−3.4−0.7+1.1±2.2
FH slice through the middle1%−6.7−0.7−1.5−8.9±2.2

Lean FH crosscourt: +0.6±1.6 per 100 returns v the current mix (2166 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MariaValue
BH through the middle48%+6.0+0.3−0.7+5.6±1.3
BH crosscourt33%+7.7+1.3+0.3+9.4±2.1
BH down the line12%+2.2+1.1+0.5+3.8±3.6
BH slice through the middle3%−6.2−4.5+0.6−10.1±2.3
BH slice crosscourt2%−4.2−2.8+1.9−5.0±3.0

Lean BH crosscourt: +3.6±1.6 per 100 returns v the current mix (1939 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MariaValue
FH crosscourt43%+0.5−0.5−5.5−5.5±3.1
FH through the middle37%−3.2−0.1−0.7−3.9±2.1
FH down the line18%−0.6+5.3+1.7+6.4±4.4
BH inside-in1%+2.0−1.4−0.4+0.1±2.8
BH through the middle1%−1.0−0.2−1.7−2.9±1.6

Lean FH down the line: +9.1±4.0 per 100 returns v the current mix (750 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MariaValue
BH crosscourt51%+1.5+0.9−0.4+1.9±2.2
BH through the middle30%−2.6−1.8−1.7−6.1±1.8
BH down the line17%−0.5+3.4−1.2+1.7±4.4
FH inside-in1%+0.7+0.7−5.5−4.1±3.3
FH inside-out1%+1.4+0.2+1.7+3.2±3.1

Lean BH crosscourt: +2.6±1.4 per 100 returns v the current mix (954 returns charted)

Maria Sharapova returning

1st serve to the forehand

ReturnNowTourOwnv SerenaValue
FH through the middle47%+4.2−1.0−1.3+1.9±1.4
FH crosscourt26%+5.3−0.9−4.0+0.5±2.5
FH down the line20%+1.5−0.9−1.4−0.8±3.0
FH slice through the middle4%−6.7−2.2+2.1−6.8±2.3
FH slice crosscourt2%−6.6−4.7−2.4−13.7±2.7

Lean FH through the middle: +1.6±1.1 per 100 returns v the current mix (1904 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SerenaValue
BH through the middle48%+6.0−1.4−1.0+3.6±1.4
BH crosscourt30%+7.7−2.3−0.2+5.2±2.3
BH down the line13%+2.2+2.8−4.1+0.8±3.6
BH slice through the middle4%−6.2−2.4−0.2−8.9±2.3
BH slice crosscourt2%−4.2−3.5−2.8−10.5±2.9

Lean BH crosscourt: +2.5±1.8 per 100 returns v the current mix (1509 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SerenaValue
FH through the middle42%−3.2+2.0−0.9−2.1±2.1
FH crosscourt31%+0.5±0.0−3.0−2.5±3.4
FH down the line25%−0.6−2.1+0.6−2.1±4.2
FH slice crosscourt1%−14.9−0.1±0.0−15.0±2.1
FH slice through the middle1%−15.2−0.2−0.4−15.9±1.8

Lean FH down the line: +0.4±3.4 per 100 returns v the current mix (602 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SerenaValue
BH through the middle40%−2.6−1.7−0.3−4.5±1.6
BH crosscourt39%+1.5−0.8−0.2+0.4±2.2
BH down the line13%−0.5+3.1−2.1+0.4±4.3
FH inside-in3%+0.7+1.5−3.0−0.8±3.9
FH inside-out3%+1.4+0.2+0.6+2.1±3.6

Lean FH inside-out: +3.8±3.7 per 100 returns v the current mix (850 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Serena Williams

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+6.7±4.5+4.6+2.1
BH to their forehand · return+4.0±4.5+5.1−1.0
FH to their backhand · return+3.1±4.0+3.6−0.5
FH to their backhand · serve +1+2.8±3.6+2.0+0.8
BH to their backhand · return+1.7±2.4+1.6±0.0
FH to the middle · return +1+1.4±3.0−0.9+2.3

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−8.8±4.9−6.7−2.1
BH to their forehand · return +1−6.3±5.0+1.1−7.4
FH to their forehand · return +1−4.7±3.5−3.1−1.6
BH slice to the middle · return−4.5±2.8−4.9+0.4
BH to their forehand · rally−4.5±3.6−1.1−3.3

Maria Sharapova

Favour

ShotEdgeOwnTheirs
FH volley to their backhand · rally+8.5±8.1+2.0+6.5
BH slice to the middle · rally+3.2±3.1−0.5+3.7
BH to the middle · rally+2.7±1.9+0.7+2.0
FH volley to their forehand · rally+1.9±7.8+3.3−1.4
FH to their backhand · return+1.7±3.7+0.6+1.1
FH to their backhand · serve +1+1.7±3.3+2.1−0.4

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−6.4±4.8−2.8−3.6
BH to their forehand · rally−3.6±3.9−2.0−1.6
FH to their forehand · return−3.1±3.9+0.6−3.8
BH to their backhand · return−2.8±2.7−2.4−0.3
FH slice to the middle · rally−2.8±3.6−3.5+0.7

Against Maria Sharapova-like opponents

Serena Williams vMatchesServe pts wonReturn pts won
All charted opponents–62.1%45.1%
Players most similar to Maria Sharapova8 60.6%39.6%
Maria Sharapova (charted head-to-head)13 64.2%47.7%

Similar by tactical fingerprint: Naomi Osaka, Anastasia Potapova, Karolina Pliskova, Iga Swiatek, Belinda Bencic, Ekaterina Alexandrova, Rebecca Sramkova, Shuai Zhang, Eugenie Bouchard, Na Li. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head