RallyIQ

Game plan

Ekaterina Alexandrova v Serena Williams

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

Forecast

Ekaterina Alexandrova wins, best of 3 22%90%: 14%–32% · best of 5: 17%
Serve points won 56.3% / 62.3% Ekaterina / Serena · tour 56.4%
Strengths only, no similarity priors 23%serve 56.2% / 62.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Ekaterina Alexandrova's record against Serena Williams's tactical lookalikes and in their charted head-to-heads (lookalikes: +2.3 on serve, −5.3 on return vs expectation (231 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

CareerEkaterinaSerena
Direction choice+0.16 ±0.04
better than 81%
+0.34 ±0.04
better than 97%
Shot selection+0.22 ±0.06
better than 70%
+0.47 ±0.05
better than 93%
Execution−0.41 ±0.36
better than 38%
−0.04 ±0.27
better than 59%
Points left on the table2.21 ±0.06
lower than 94%
2.20 ±0.07
lower than 94%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Ekaterina Alexandrova −1.20, Serena Williams −0.55. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Ekaterina Alexandrova serving

Deuce court

1st serveNowEkaterina winsv SerenaMatchupOptimal
Wide44%70%65%68.9%±3.659% ▲
Body21%59%53%55.3%±5.16% ▼
T35%75%66%72.7%±3.835%

Optimal v Serena Williams: +1.0±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowEkaterina winsv SerenaMatchupOptimal
Wide46%73%66%73.6%±3.661% ▲
Body15%59%57%59.8%±5.915%
T39%63%61%59.9%±4.224% ▼

Optimal v Serena Williams: +0.9±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +7.4 per 100 first serves in before the returner adjusts.

Serena Williams serving

Deuce court

1st serveNowSerena winsv EkaterinaMatchupOptimal
Wide50%70%67%71.5%±3.465% ▲
Body8%62%59%63.2%±5.70% ▼
T42%79%68%79.4%±3.135% ▼

Optimal v Ekaterina Alexandrova: +0.5±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSerena winsv EkaterinaMatchupOptimal
Wide45%75%64%73.8%±3.437% ▼
Body6%60%56%60.0%±6.50% ▼
T49%70%66%71.5%±3.863% ▲

Optimal v Ekaterina Alexandrova: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.0 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.

Ekaterina Alexandrova returning

1st serve to the forehand

ReturnNowTourOwnv SerenaValue
FH through the middle43%+4.2−3.0−1.3−0.2±1.7
FH crosscourt37%+5.3−1.1−4.0+0.3±2.8
FH down the line14%+1.5+1.5−1.4+1.6±3.7
FH slice crosscourt3%−6.6−5.3−2.4−14.3±2.7
FH slice through the middle3%−6.7−0.8+2.1−5.4±2.2

Lean FH down the line: +1.9±3.4 per 100 returns v the current mix (854 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SerenaValue
BH through the middle53%+6.0−1.4−1.0+3.6±1.6
BH crosscourt23%+7.7−2.4−0.2+5.1±2.6
BH down the line16%+2.2−1.1−4.1−3.0±3.7
BH slice through the middle5%−6.2−1.0−0.2−7.5±2.3
BH slice crosscourt3%−4.2−4.6−2.8−11.6±2.9

Lean BH crosscourt: +3.2±2.3 per 100 returns v the current mix (1000 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SerenaValue
FH crosscourt42%+0.5−2.3−3.0−4.8±3.7
FH through the middle35%−3.2+0.7−0.9−3.4±2.5
FH down the line21%−0.6+0.8+0.6+0.8±4.6
FH slice crosscourt2%−14.9−1.1±0.0−16.0±2.0

Lean FH down the line: +4.2±4.0 per 100 returns v the current mix (243 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv SerenaValue
BH crosscourt43%+1.5+0.2−0.2+1.5±2.4
BH through the middle38%−2.6−1.3−0.3−4.1±1.8
BH down the line19%−0.5−1.2−2.1−3.8±4.3

Lean BH crosscourt: +3.1±1.7 per 100 returns v the current mix (557 returns charted)

Serena Williams returning

1st serve to the forehand

ReturnNowTourOwnv EkaterinaValue
FH through the middle49%+4.2−2.6+0.8+2.3±1.6
FH crosscourt36%+5.3−1.6+1.1+4.8±3.0
FH down the line11%+1.5−0.4−2.4−1.3±3.7
BH through the middle1%+5.2−3.4−0.1+1.7±2.3
FH slice through the middle1%−6.7−0.7+1.7−5.6±2.2

Lean FH crosscourt: +2.1±2.1 per 100 returns v the current mix (2166 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv EkaterinaValue
BH through the middle48%+6.0+0.3−0.1+6.2±1.5
BH crosscourt33%+7.7+1.3−1.4+7.7±2.3
BH down the line12%+2.2+1.1−1.1+2.2±3.8
BH slice through the middle3%−6.2−4.5−0.9−11.6±2.5
BH slice crosscourt2%−4.2−2.8−1.8−8.8±3.0
FH through the middle1%+5.1+2.0+0.8+7.8±2.2

Lean FH through the middle: +2.6±2.4 per 100 returns v the current mix (1939 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv EkaterinaValue
FH crosscourt43%+0.5−0.5+1.7+1.8±3.6
FH through the middle37%−3.2−0.1−1.3−4.5±2.2
FH down the line18%−0.6+5.3−3.9+0.8±4.6
BH inside-in1%+2.0−1.4+1.7+2.3±2.8
BH through the middle1%−1.0−0.2−1.5−2.8±1.7

Lean FH crosscourt: +2.5±2.4 per 100 returns v the current mix (750 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv EkaterinaValue
BH crosscourt51%+1.5+0.9+1.7+4.1±2.3
BH through the middle30%−2.6−1.8−1.5−6.0±1.8
BH down the line17%−0.5+3.4−2.0+0.8±4.6
FH inside-in1%+0.7+0.7+1.7+3.2±3.8
FH inside-out1%+1.4+0.2−3.9−2.4±3.3

Lean BH crosscourt: +3.7±1.5 per 100 returns v the current mix (954 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.

Ekaterina Alexandrova

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+1.8±2.7−0.6+2.3
FH slice to their forehand · rally+1.0±5.1−1.7+2.7
FH to their forehand · rally+0.8±1.6+0.1+0.7
FH to their forehand · return +1+0.8±2.7−0.1+0.9
BH to their backhand · rally+0.8±1.7+0.3+0.5
FH to their backhand · return +1+0.7±3.2+0.6+0.1

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return−6.6±3.3−2.3−4.3
FH to their forehand · return−5.6±2.8−1.7−3.9
FH to the middle · serve +1−4.3±2.1−4.8+0.4
BH slice to their backhand · rally−4.2±3.4−4.9+0.7
FH to their backhand · serve +1−4.1±2.8−1.7−2.3

Serena Williams

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+4.5±3.1+3.4+1.1
FH to their forehand · serve +1+2.1±2.6+1.9+0.2
FH to their backhand · rally+2.0±2.2+1.1+0.9
FH to the middle · return +1+1.8±2.4−0.9+2.6
BH to their backhand · return+0.9±2.0+0.4+0.5
BH to their forehand · rally+0.2±2.8+0.9−0.7

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−7.8±5.0−4.7−3.1
BH slice to the middle · return−6.0±3.5−5.4−0.6
BH slice to their backhand · rally−4.9±3.4−4.1−0.9
FH to their forehand · return +1−4.2±2.6−3.0−1.2
BH slice to the middle · return +1−3.8±3.3−2.2−1.5

Against Serena Williams-like opponents

Ekaterina Alexandrova vMatchesServe pts wonReturn pts won
All charted opponents–58.4%43.0%
Players most similar to Serena Williams1 62.2%38.1%

Similar by tactical fingerprint: Naomi Osaka, Karolina Pliskova, Sorana Cirstea, Elena Gabriela Ruse, Veronika Kudermetova, Anett Kontaveit, Daniela Hantuchova, Jelena Dokic, Lindsay Davenport. When two players have rarely met, their records against these lookalikes fill the gap.