RallyIQ

Game plan

Jelena Ostapenko v Naomi Osaka

Every number combines what Jelena Ostapenko does well with what Naomi Osaka allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Jelena Ostapenko wins, best of 3 32%90%: 7%–70% · best of 5: 27%
Serve points won 58.0% / 61.8% Jelena / Naomi · tour 57.7%
Strengths only, no similarity priors 34%serve 58.4% / 61.7%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Jelena Ostapenko's record against Naomi Osaka's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.4 on serve, +1.9 on return vs expectation (1068 points); head-to-head: +0.8 on serve, −17.9 on return vs expectation (99 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

CareerJelenaNaomi
Direction choice+0.43 ±0.05
better than 98%
+0.15 ±0.06
better than 81%
Shot selection+0.12 ±0.09
better than 58%
+0.22 ±0.05
better than 70%
Execution−1.29 ±0.51
better than 14%
−0.20 ±0.34
better than 48%
Points left on the table1.88 ±0.07
lower than 100%
2.33 ±0.09
lower than 84%

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: Jelena Ostapenko −1.57, Naomi Osaka −1.74. 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.

Jelena Ostapenko serving

Deuce court

1st serveNowJelena winsv NaomiMatchupOptimal
Wide31%65%70%69.5%±4.829% ▼
Body13%56%58%56.2%±7.00% ▼
T56%68%72%72.2%±4.271% ▲

Optimal v Naomi Osaka: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJelena winsv NaomiMatchupOptimal
Wide36%67%68%69.6%±4.751% ▲
Body19%58%56%58.2%±6.54% ▼
T45%64%68%67.3%±4.645%

Optimal v Naomi Osaka: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.2 per 100 first serves in before the returner adjusts.

Naomi Osaka serving

Deuce court

1st serveNowNaomi winsv JelenaMatchupOptimal
Wide44%75%66%75.4%±3.959% ▲
Body13%62%60%64.2%±6.40% ▼
T43%75%70%76.8%±4.041% ▼

Optimal v Jelena Ostapenko: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNaomi winsv JelenaMatchupOptimal
Wide39%74%65%73.0%±4.535% ▼
Body11%60%52%55.6%±7.50% ▼
T50%70%64%69.2%±4.465% ▲

Optimal v Jelena Ostapenko: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.8 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.

Jelena Ostapenko returning

1st serve to the forehand

ReturnNowTourOwnv NaomiValue
FH through the middle35%+4.2−2.2−0.7+1.3±2.1
FH crosscourt29%+5.3+4.8−3.2+6.9±3.4
FH down the line21%+1.5−2.7−2.7−3.8±3.9
FH slice through the middle8%−6.7−1.3−0.5−8.5±2.3
FH slice crosscourt4%−6.6−0.5±0.0−7.2±2.7

Lean FH crosscourt: +6.5±2.7 per 100 returns v the current mix (727 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NaomiValue
BH through the middle37%+6.0−3.0−2.7+0.3±2.0
BH crosscourt29%+7.7−1.5−0.9+5.3±2.9
BH down the line14%+2.2−2.8−4.3−5.0±4.2
BH slice through the middle11%−6.2−1.9+0.2−8.0±2.4
BH slice crosscourt6%−4.2−2.6−3.4−10.2±3.0

Lean BH crosscourt: +6.2±2.3 per 100 returns v the current mix (682 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NaomiValue
FH crosscourt57%+0.5−3.8−5.4−8.6±3.7
FH through the middle24%−3.2−2.1+0.6−4.7±2.6
FH down the line19%−0.6−3.8+1.8−2.6±4.7

Lean FH down the line: +3.9±4.4 per 100 returns v the current mix (202 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NaomiValue
BH crosscourt49%+1.5−0.4+0.8+1.9±2.7
BH through the middle29%−2.6−2.2+0.9−3.9±2.2
BH down the line19%−0.5−5.0+3.1−2.4±4.8
FH inside-in1%+0.7−0.6−5.4−5.3±3.1
FH through the middle1%−2.7−0.2+0.6−2.4±1.6

Lean BH crosscourt: +2.7±1.8 per 100 returns v the current mix (417 returns charted)

Naomi Osaka returning

1st serve to the forehand

ReturnNowTourOwnv JelenaValue
FH through the middle51%+4.2−1.4−1.1+1.7±1.9
FH down the line28%+1.5−1.5−1.6−1.6±3.6
FH crosscourt17%+5.3−1.9+1.0+4.5±3.6
FH slice through the middle3%−6.7−1.1+1.8−6.1±2.5
FH slice crosscourt1%−6.6−2.6−1.6−10.8±2.5

Lean FH crosscourt: +3.7±3.3 per 100 returns v the current mix (1120 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JelenaValue
BH through the middle51%+6.0−0.9+0.2+5.4±1.7
BH crosscourt28%+7.7+2.3+1.3+11.2±2.7
BH down the line13%+2.2+0.1+2.1+4.3±4.2
BH slice through the middle4%−6.2−2.4+1.7−6.9±2.5
BH slice crosscourt2%−4.2−2.2+2.7−3.7±2.9

Lean BH crosscourt: +5.4±2.2 per 100 returns v the current mix (938 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JelenaValue
FH through the middle41%−3.2−1.4−0.6−5.2±2.6
FH crosscourt32%+0.5+2.3+3.2+6.1±3.9
FH down the line25%−0.6+0.8−3.0−2.8±4.9
FH slice through the middle2%−15.2+0.6+2.0−12.6±2.1

Lean FH crosscourt: +7.2±3.1 per 100 returns v the current mix (315 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JelenaValue
BH crosscourt46%+1.5+0.2+2.2+3.9±2.7
BH through the middle41%−2.6−1.3+0.4−3.5±2.2
BH down the line13%−0.5+1.4+10.4+11.3±4.9

Lean BH down the line: +9.4±4.5 per 100 returns v the current mix (558 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 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.

Jelena Ostapenko

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+3.8±4.8−1.5+5.3
FH to their forehand · rally+2.1±4.4−2.1+4.2
FH to their forehand · return+2.0±5.1+6.2−4.2
FH to their forehand · return +1+1.6±4.9−1.0+2.6
BH slice to the middle · return+0.3±3.4−1.3+1.6
BH to the middle · return +1+0.2±3.4−2.6+2.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−6.0±5.8−5.7−0.3
FH to the middle · return +1−5.8±3.6−4.9−0.9
BH to the middle · serve +1−5.7±3.3−5.8+0.1
FH to their backhand · return−5.4±5.6−7.2+1.7
BH to their backhand · serve +1−4.9±4.4−4.6−0.3

Naomi Osaka

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+2.7±4.6+2.2+0.6
BH to the middle · return+1.3±3.1−1.5+2.8
FH to the middle · return +1+1.2±3.5−0.8+2.0
BH to their forehand · return+0.4±5.7−3.3+3.7
FH to their backhand · return +1+0.1±5.8+1.4−1.3
FH to their backhand · serve +1−1.0±5.4−0.8−0.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−6.5±5.1±0.0−6.5
FH to their backhand · rally−6.0±5.2+0.4−6.3
BH to their forehand · rally−5.9±5.8−0.8−5.1
FH to their backhand · return−5.6±5.5−0.1−5.5
BH to their forehand · serve +1−5.4±6.0+0.2−5.6

Against Naomi Osaka-like opponents

Jelena Ostapenko vMatchesServe pts wonReturn pts won
All charted opponents–55.0%43.9%
Players most similar to Naomi Osaka7 54.3%44.6%
Naomi Osaka (charted head-to-head)1 56.0%22.0%

Similar by tactical fingerprint: Karolina Pliskova, Ekaterina Alexandrova, Serena Williams, Shuai Zhang, Viktoria Hruncakova, Elena Gabriela Ruse, Veronika Kudermetova, Anett Kontaveit, Maria Sharapova, Lindsay Davenport. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head