RallyIQ

Game plan

Serena Williams v Jelena Dokic

Every number combines what Serena Williams does well with what Jelena Dokic 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 99%90%: 91%–100% · best of 5: 100%
Serve points won 68.5% / 51.2% Serena / Jelena · tour 58.1%
Strengths only, no similarity priors 99%serve 68.6% / 51.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jelena Dokic's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.2 on serve, ±0.0 on return vs expectation (3283 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

CareerSerenaJelena
Direction choice+0.34 ±0.04
better than 97%
+0.52 ±0.09
better than 99%
Shot selection+0.47 ±0.05
better than 93%
+0.15 ±0.13
better than 60%
Execution−0.04 ±0.27
better than 59%
−1.44 ±0.86
better than 12%
Points left on the table2.20 ±0.07
lower than 94%
1.89 ±0.16
lower than 99%

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 JelenaMatchupOptimal
Wide50%70%74%77.9%±5.865% ▲
Body8%62%65%68.8%±10.90% ▼
T42%79%73%83.2%±4.935% ▼

Optimal v Jelena Dokic: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSerena winsv JelenaMatchupOptimal
Wide45%75%68%76.7%±6.660% ▲
Body6%60%57%61.2%±12.10% ▼
T49%70%67%72.0%±6.840% ▼

Optimal v Jelena Dokic: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Jelena Dokic serving

Deuce court

1st serveNowJelena winsv SerenaMatchupOptimal
Wide45%66%65%64.7%±7.560% ▲
Body14%52%53%47.7%±10.70% ▼
T41%64%66%61.6%±8.040% ▼

Optimal v Serena Williams: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJelena winsv SerenaMatchupOptimal
Wide41%67%66%67.0%±7.957% ▲
Body8%55%57%56.2%±12.54% ▼
T51%62%61%58.9%±7.839% ▼

Optimal v Serena Williams: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.0 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.

Serena Williams returning

1st serve to the forehand

ReturnNowTourOwnv JelenaValue
FH through the middle49%+4.2−2.6−1.9−0.3±2.4
FH crosscourt36%+5.3−1.6−2.5+1.2±3.4
FH down the line11%+1.5−0.4+4.6+5.7±4.2
BH through the middle1%+5.2−3.4−0.6+1.2±2.8
FH slice through the middle1%−6.7−0.7−0.6−8.0±1.9

Lean FH down the line: +4.9±4.1 per 100 returns v the current mix (2166 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JelenaValue
BH through the middle48%+6.0+0.3−0.6+5.7±2.2
BH crosscourt33%+7.7+1.3−0.7+8.4±2.9
BH down the line12%+2.2+1.1+2.2+5.4±4.2
BH slice through the middle3%−6.2−4.5−0.2−10.9±2.1
BH slice crosscourt2%−4.2−2.8±0.0−6.9±2.1

Lean BH crosscourt: +2.8±2.3 per 100 returns v the current mix (1939 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JelenaValue
FH crosscourt43%+0.5−0.5+0.5+0.5±3.7
FH through the middle37%−3.2−0.1+1.3−1.9±2.7
FH down the line18%−0.6+5.3−3.8+0.9±4.7
BH inside-in1%+2.0−1.4−1.4−0.9±3.5
BH through the middle1%−1.0−0.2−1.9−3.1±2.2

Lean FH down the line: +1.3±4.3 per 100 returns v the current mix (750 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JelenaValue
BH crosscourt51%+1.5+0.9−1.4+0.9±3.0
BH through the middle30%−2.6−1.8−1.9−6.3±2.4
BH down the line17%−0.5+3.4+0.6+3.4±4.8
FH inside-in1%+0.7+0.7+0.5+1.9±4.0
FH inside-out1%+1.4+0.2−3.8−2.3±3.4

Lean BH down the line: +4.3±4.3 per 100 returns v the current mix (954 returns charted)

Jelena Dokic returning

1st serve to the forehand

ReturnNowTourOwnv SerenaValue
FH through the middle50%+4.2−0.5−1.3+2.3±2.4
FH crosscourt31%+5.3+0.1−4.0+1.5±3.6
FH down the line19%+1.5−2.6−1.4−2.5±3.8

Lean FH through the middle: +1.2±1.8 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SerenaValue
BH through the middle37%+6.0−2.2−1.0+2.8±2.3
BH crosscourt34%+7.7−0.7−0.2+6.8±3.1
BH down the line20%+2.2−0.7−4.1−2.7±3.9
BH slice crosscourt5%−4.2+0.5−2.8−6.5±2.4
BH slice through the middle4%−6.2−0.9−0.2−7.4±1.7

Lean BH crosscourt: +4.6±2.4 per 100 returns v the current mix (121 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SerenaValue
FH crosscourt62%+0.5+2.4−3.0−0.1±3.8
FH through the middle21%−3.2+0.6−0.9−3.5±2.4
FH down the line17%−0.6−2.5+0.6−2.4±4.2

Lean FH crosscourt: +1.1±1.7 per 100 returns v the current mix (103 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SerenaValue
BH crosscourt57%+1.5−0.8−0.2+0.5±2.9
BH through the middle25%−2.6+0.2−0.3−2.7±2.0
BH down the line18%−0.5+1.1−2.1−1.5±4.0

Lean BH crosscourt: +1.2±1.5 per 100 returns v the current mix (76 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.

Serena Williams

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+7.4±5.1+1.4+6.0
FH to their backhand · return+3.6±4.6+2.0+1.5
BH to their forehand · return+2.4±4.5+0.4+2.0
BH to their backhand · return+0.6±4.2+2.6−2.0
FH to their backhand · rally+0.3±5.1+1.6−1.3
BH to the middle · return−0.4±3.2+0.1−0.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−5.4±4.2−2.9−2.4
FH to the middle · return−3.6±3.4−2.8−0.8
FH to their forehand · return +1−2.9±4.7−3.6+0.8
BH to their backhand · rally−2.8±4.1−2.7−0.1
FH to the middle · serve +1−2.4±3.6−0.2−2.2

Jelena Dokic

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+4.9±5.0+2.3+2.5
FH to their forehand · serve +1+4.4±4.9+1.8+2.5
BH to their backhand · serve +1+3.1±4.5+1.7+1.4
BH to their backhand · return +1+2.2±4.7+1.1+1.1
FH to their forehand · rally+1.7±4.2−0.3+2.0
BH to the middle · rally−0.7±3.1−1.4+0.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−5.0±4.1−5.1+0.2
BH to the middle · return−4.8±3.2−1.6−3.1
FH to their backhand · serve +1−4.1±5.1−1.1−3.0
FH to their forehand · return−3.7±5.6+0.2−3.9
FH to their backhand · rally−3.1±4.5−1.6−1.5

Against Jelena Dokic-like opponents

Serena Williams vMatchesServe pts wonReturn pts won
All charted opponents–62.1%45.1%
Players most similar to Jelena Dokic25 60.9%42.9%

Similar by tactical fingerprint: Naomi Osaka, Ekaterina Alexandrova, Rebecca Sramkova, Viktoria Hruncakova, Kim Clijsters, Maria Sharapova, Ana Ivanovic, Daniela Hantuchova, Lindsay Davenport. When two players have rarely met, their records against these lookalikes fill the gap.