RallyIQ

Game plan

Naomi Osaka v Anett Kontaveit

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

Forecast

Naomi Osaka wins, best of 3 55%90%: 39%–71% · best of 5: 57%
Serve points won 60.9% / 59.8% Naomi / Anett · tour 56.4%
Strengths only, no similarity priors 52%serve 60.4% / 60.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Naomi Osaka's record against Anett Kontaveit's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.8 on serve, +0.6 on return vs expectation (859 points); head-to-head: +4.8 on serve, +0.7 on return vs expectation (171 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

CareerNaomiAnett
Direction choice+0.15 ±0.06
better than 81%
+0.16 ±0.07
better than 81%
Shot selection+0.22 ±0.05
better than 70%
+0.05 ±0.09
better than 51%
Execution−0.20 ±0.34
better than 48%
+0.27 ±0.43
better than 71%
Points left on the table2.33 ±0.09
lower than 84%
2.30 ±0.09
lower than 85%

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.

Naomi Osaka serving

Deuce court

1st serveNowNaomi winsv AnettMatchupOptimal
Wide44%75%68%76.6%±4.058% ▲
Body13%62%55%59.7%±7.40% ▼
T43%75%70%76.7%±4.242% ▼

Optimal v Anett Kontaveit: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNaomi winsv AnettMatchupOptimal
Wide39%74%65%73.6%±4.754% ▲
Body11%60%55%58.8%±8.50% ▼
T50%70%62%67.6%±5.046% ▼

Optimal v Anett Kontaveit: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.6 per 100 first serves in before the returner adjusts.

Anett Kontaveit serving

Deuce court

1st serveNowAnett winsv NaomiMatchupOptimal
Wide43%67%70%71.0%±4.459% ▲
Body13%57%58%58.0%±7.40% ▼
T43%68%72%72.9%±4.641% ▼

Optimal v Naomi Osaka: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnett winsv NaomiMatchupOptimal
Wide47%67%68%69.4%±4.847%
Body17%61%56%61.4%±7.12% ▼
T36%66%68%69.9%±5.051% ▲

Optimal v Naomi Osaka: +1.2±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.7 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.

Naomi Osaka returning

1st serve to the forehand

ReturnNowTourOwnv AnettValue
FH through the middle51%+4.2−1.4−0.5+2.3±2.0
FH down the line28%+1.5−1.5+0.3+0.4±3.8
FH crosscourt17%+5.3−1.9+0.7+4.1±3.8
FH slice through the middle3%−6.7−1.1+1.2−6.7±2.5
FH slice crosscourt1%−6.6−2.6+2.6−6.6±2.5

Lean FH crosscourt: +2.5±3.5 per 100 returns v the current mix (1120 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AnettValue
BH through the middle51%+6.0−0.9−0.7+4.4±1.8
BH crosscourt28%+7.7+2.3+0.8+10.8±2.8
BH down the line13%+2.2+0.1−2.5−0.2±4.4
BH slice through the middle4%−6.2−2.4−1.0−9.6±2.6
BH slice crosscourt2%−4.2−2.2−1.7−8.1±2.6

Lean BH crosscourt: +6.3±2.3 per 100 returns v the current mix (938 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnettValue
FH through the middle41%−3.2−1.4−1.5−6.0±2.7
FH crosscourt32%+0.5+2.3−0.7+2.1±4.1
FH down the line25%−0.6+0.8−1.9−1.7±5.0
FH slice through the middle2%−15.2+0.6−0.4−14.9±1.8

Lean FH crosscourt: +4.7±3.3 per 100 returns v the current mix (315 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AnettValue
BH crosscourt46%+1.5+0.2−2.8−1.0±2.9
BH through the middle41%−2.6−1.3−0.7−4.7±2.2
BH down the line13%−0.5+1.4+0.3+1.1±5.2

Lean BH down the line: +3.4±4.8 per 100 returns v the current mix (558 returns charted, inside the 90% margin)

Anett Kontaveit returning

1st serve to the forehand

ReturnNowTourOwnv NaomiValue
FH through the middle43%+4.2−0.4−0.7+3.0±2.1
FH crosscourt35%+5.3−0.6−3.2+1.6±3.5
FH down the line10%+1.5−0.6−2.7−1.8±4.3
FH slice through the middle6%−6.7−1.6−0.5−8.8±2.3
FH slice crosscourt3%−6.6−0.3±0.0−7.0±2.6

Lean FH through the middle: +2.5±1.8 per 100 returns v the current mix (556 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NaomiValue
BH through the middle44%+6.0+0.5−2.7+3.8±2.0
BH crosscourt37%+7.7−0.3−0.9+6.5±2.9
BH down the line10%+2.2−0.2−4.3−2.4±4.3
BH slice through the middle4%−6.2−1.8+0.2−7.9±2.4
BH slice down the line3%−12.5−2.5−1.6−16.5±3.4

Lean BH crosscourt: +3.6±2.1 per 100 returns v the current mix (580 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NaomiValue
FH crosscourt48%+0.5+0.9−5.4−3.9±3.9
FH through the middle39%−3.2−3.1+0.6−5.7±2.6
FH down the line13%−0.6−2.4+1.8−1.3±4.2

Lean FH crosscourt: +0.3±2.3 per 100 returns v the current mix (106 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NaomiValue
BH crosscourt43%+1.5±0.0+0.8+2.2±2.8
BH through the middle35%−2.6−1.0+0.9−2.8±2.2
BH down the line21%−0.5+4.9+3.1+7.5±4.8

Lean BH down the line: +5.9±4.1 per 100 returns v the current mix (309 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.

Naomi Osaka

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+2.6±5.0−1.9+4.5
FH to the middle · serve +1+0.9±2.5±0.0+0.9
BH to their forehand · return +1+0.4±5.6+1.8−1.4
BH to their backhand · return +1+0.4±3.3±0.0+0.3
BH to their backhand · serve +1−0.4±3.2+0.7−1.0
BH to their backhand · rally−0.6±2.3−0.3−0.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−7.9±4.6−4.4−3.4
FH to their backhand · return−4.1±4.0−1.1−3.1
FH to their forehand · return +1−3.0±3.7−1.3−1.7
FH to their forehand · return−2.9±4.1−1.8−1.1
FH to their backhand · serve +1−2.8±3.8−4.0+1.1

Anett Kontaveit

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+5.6±5.0+3.6+1.9
BH to their backhand · return +1+3.5±3.3+3.1+0.4
BH to their forehand · rally+2.1±4.4+1.6+0.5
BH to the middle · serve +1+2.0±2.3−0.4+2.4
FH to their forehand · serve +1+1.6±3.4−0.9+2.5
FH to the middle · serve +1+1.1±2.5+0.4+0.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−6.5±4.0−7.9+1.3
FH to their forehand · return−5.0±3.6+1.4−6.4
FH slice to the middle · rally−3.4±3.6−4.6+1.2
FH to the middle · rally−3.2±1.9−1.4−1.8
FH to their backhand · return−3.2±4.8−1.3−1.9

Against Anett Kontaveit-like opponents

Naomi Osaka vMatchesServe pts wonReturn pts won
All charted opponents–61.2%41.4%
Players most similar to Anett Kontaveit5 60.8%39.1%
Anett Kontaveit (charted head-to-head)1 65.5%40.2%

Similar by tactical fingerprint: Anastasia Potapova, Karolina Pliskova, Iga Swiatek, Ekaterina Alexandrova, Magda Linette, Barbora Krejcikova, Shuai Zhang, Veronika Kudermetova, Eugenie Bouchard, Johanna Konta. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head