RallyIQ

Game plan

Olga Danilovic v Misaki Doi

Every number combines what Olga Danilovic does well with what Misaki Doi allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Olga Danilovic wins, best of 3 55%90%: 24%–83% · best of 5: 56%
Serve points won 56.6% / 55.7% Olga / Misaki · tour 56.3%
Strengths only, no similarity priors 55%serve 56.6% / 55.7%

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. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Olga Danilovic's record against Misaki Doi's tactical lookalikes and in their charted head-to-heads. 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

CareerOlgaMisaki
Direction choice−0.03 ±0.07
better than 49%
−0.10 ±0.11
better than 36%
Shot selection+0.44 ±0.13
better than 92%
+0.11 ±0.24
better than 56%
Execution−1.00 ±0.59
better than 18%
−0.93 ±0.51
better than 19%
Points left on the table2.96 ±0.16
lower than 12%
2.84 ±0.27
lower than 21%

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.

Olga Danilovic serving

Deuce court

1st serveNowOlga winsv MisakiMatchupOptimal
Wide26%64%65%62.9%±8.926%
Body29%54%60%56.7%±11.114% ▼
T45%64%66%62.6%±9.760% ▲

Optimal v Misaki Doi: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowOlga winsv MisakiMatchupOptimal
Wide58%61%71%67.5%±9.358%
Body18%57%50%50.2%±11.63% ▼
T23%73%65%73.5%±8.939% ▲

Optimal v Misaki Doi: +1.2±1.2 per 100 first serves (faults included) over the current mix. Serving T every time would read +7.7 per 100 first serves in before the returner adjusts.

Misaki Doi serving

Deuce court

1st serveNowMisaki winsv OlgaMatchupOptimal
Wide23%69%66%69.1%±9.838% ▲
Body36%51%65%58.6%±9.921% ▼
T42%62%72%66.8%±9.041%

Optimal v Olga Danilovic: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMisaki winsv OlgaMatchupOptimal
Wide41%61%72%68.1%±8.341%
Body37%53%51%48.2%±10.422% ▼
T22%57%71%64.1%±10.437% ▲

Optimal v Olga Danilovic: +1.5±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +8.3 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.

Olga Danilovic returning

1st serve to the forehand

ReturnNowTourOwnv MisakiValue
FH through the middle46%+4.2+0.6−0.4+4.3±3.0
FH crosscourt23%+5.3+2.3±0.0+7.6±4.2
FH down the line14%+1.5−3.6+0.4−1.7±4.7
FH slice through the middle8%−6.7−1.6+1.0−7.4±2.4
FH slice crosscourt5%−6.6−2.0±0.0−8.6±1.7

Lean FH crosscourt: +5.5±3.6 per 100 returns v the current mix (304 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MisakiValue
BH through the middle39%+6.0−1.7+1.2+5.5±2.5
BH crosscourt25%+7.7−1.6−2.5+3.7±3.5
BH down the line16%+2.2−1.3+2.4+3.3±4.6
BH slice through the middle10%−6.2−2.3+1.0−7.5±2.4
BH slice crosscourt7%−4.2−1.4−0.3−5.9±2.5

Lean BH through the middle: +3.4±1.9 per 100 returns v the current mix (485 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MisakiValue
FH crosscourt42%+0.5−0.2−2.5−2.1±4.4
FH through the middle38%−3.2−0.5+0.1−3.5±3.0
FH down the line20%−0.6−2.5−0.1−3.2±4.8

Lean FH crosscourt: +0.7±3.0 per 100 returns v the current mix (74 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MisakiValue
BH through the middle47%−2.6+0.7−0.4−2.3±2.6
BH crosscourt36%+1.5+0.9−2.5−0.2±3.3
BH down the line9%−0.5−6.6−2.7−9.8±5.2
FH inside-in4%+0.7+0.9−2.5−0.8±4.3
FH through the middle3%−2.7+0.7+0.1−1.9±2.4

Lean BH crosscourt: +2.0±2.5 per 100 returns v the current mix (294 returns charted, inside the 90% margin)

Misaki Doi returning

1st serve to the forehand

ReturnNowTourOwnv OlgaValue
FH through the middle51%+4.2−3.5−2.8−2.2±2.9
FH crosscourt25%+5.3+2.5−1.6+6.2±4.2
FH slice through the middle17%−6.7+0.6+1.3−4.9±2.4
FH down the line7%+1.5−0.5+0.5+1.6±3.8

Lean FH crosscourt: +6.5±3.5 per 100 returns v the current mix (88 returns charted)

1st serve to the backhand

ReturnNowTourOwnv OlgaValue
BH through the middle46%+6.0+0.5+0.2+6.7±2.4
BH crosscourt25%+7.7−0.9−3.8+3.1±3.5
BH down the line14%+2.2−1.3+1.4+2.2±4.1
BH slice through the middle12%−6.2+1.0−0.3−5.6±2.4
BH slice down the line3%−12.5+0.7+0.3−11.4±2.9

Lean BH through the middle: +3.5±1.7 per 100 returns v the current mix (174 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv OlgaValue
BH crosscourt48%+1.5−2.1−1.0−1.6±3.6
BH through the middle46%−2.6−1.1+0.3−3.4±2.7
BH down the line7%−0.5−0.3−2.4−3.2±4.3

Lean BH crosscourt: +1.0±2.3 per 100 returns v the current mix (107 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.

Olga Danilovic

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+4.2±3.7+1.7+2.5
BH to their forehand · return +1+2.4±4.6+0.1+2.3
FH to their forehand · rally+2.3±3.0+0.2+2.1
BH to their forehand · rally+2.2±3.6−0.4+2.6
FH to their backhand · rally+1.9±2.9+1.0+0.9
FH to their backhand · return+1.0±4.1+0.9±0.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−8.8±4.4−6.2−2.6
BH to their backhand · return−8.6±3.5−5.8−2.8
BH to the middle · serve +1−5.4±2.5−3.1−2.3
BH to the middle · rally−4.5±2.1−2.7−1.8
BH to their backhand · rally−4.1±3.2−2.8−1.3

Misaki Doi

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+5.6±4.1+4.6+1.1
FH to their backhand · return +1+2.3±3.8+1.6+0.7
FH to their forehand · rally+1.9±3.0+0.3+1.7
BH to their forehand · serve +1+1.5±4.5−1.1+2.6
FH to their backhand · rally+0.9±2.7−0.1+1.0
BH to their forehand · rally+0.8±3.5−0.6+1.4

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−6.9±2.5−2.8−4.1
FH to the middle · serve +1−1.8±2.5−0.8−1.0
FH to their forehand · serve +1−0.2±3.7−0.8+0.6
BH to the middle · return+0.1±2.1−1.1+1.2
FH to the middle · rally+0.2±2.3−1.0+1.3

Against Misaki Doi-like opponents

Olga Danilovic vMatchesServe pts wonReturn pts won
All charted opponents–55.4%40.8%

Similar by tactical fingerprint: Alexandra Eala, Diana Shnaider, Marta Kostyuk, Jasmine Paolini, Lulu Sun, Xiyu Wang, Victoria Jimenez Kasintseva, Beatriz Haddad Maia, Bernarda Pera. When two players have rarely met, their records against these lookalikes fill the gap.