RallyIQ

Game plan

Olivia Gadecki v Diana Shnaider

Every number combines what Olivia Gadecki does well with what Diana Shnaider allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Olivia Gadecki wins, best of 3 30%90%: 4%–75% · best of 5: 26%
Serve points won 53.5% / 57.4% Olivia / Diana · tour 57.7%
Strengths only, no similarity priors 33%serve 53.8% / 57.0%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Olivia Gadecki's record against Diana Shnaider's tactical lookalikes and in their charted head-to-heads (lookalikes: −7.2 on serve, −16.3 on return vs expectation (87 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

CareerOliviaDiana
Direction choice+0.01 ±0.09
better than 55%
−0.09 ±0.05
better than 36%
Shot selection−0.05 ±0.19
better than 41%
−0.15 ±0.14
better than 31%
Execution−2.60 ±0.67
better than 3%
+0.13 ±0.41
better than 67%
Points left on the table2.54 ±0.17
lower than 60%
3.07 ±0.10
lower than 8%

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.

Olivia Gadecki serving

Deuce court

1st serveNowOlivia winsv DianaMatchupOptimal
Wide38%65%67%66.8%±7.053% ▲
Body29%64%65%70.2%±8.429%
T33%64%71%67.2%±8.518% ▼

Optimal v Diana Shnaider: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowOlivia winsv DianaMatchupOptimal
Wide48%67%71%72.5%±6.863% ▲
Body20%55%60%58.6%±10.220%
T33%58%66%59.8%±8.317% ▼

Optimal v Diana Shnaider: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.9 per 100 first serves in before the returner adjusts.

Diana Shnaider serving

Deuce court

1st serveNowDiana winsv OliviaMatchupOptimal
Wide28%67%68%68.8%±7.543% ▲
Body33%61%62%65.5%±8.218% ▼
T39%62%73%68.4%±8.339%

Optimal v Olivia Gadecki: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDiana winsv OliviaMatchupOptimal
Wide46%65%76%75.3%±6.961% ▲
Body23%62%62%66.8%±9.28% ▼
T31%68%64%68.2%±8.031%

Optimal v Olivia Gadecki: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.2 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.

Olivia Gadecki returning

1st serve to the forehand

ReturnNowTourOwnv DianaValue
FH through the middle41%+4.2−0.1−0.4+3.6±2.6
FH slice through the middle22%−6.7−1.4+0.1−8.1±2.6
FH down the line19%+1.5−1.1−6.0−5.6±4.6
FH crosscourt12%+5.3−2.8−0.3+2.3±3.9
FH slice down the line6%−10.5+0.9−1.1−10.7±2.4

Lean FH through the middle: +5.3±1.9 per 100 returns v the current mix (209 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DianaValue
BH through the middle34%+6.0−2.7+1.2+4.6±2.4
BH slice through the middle24%−6.2−2.3−0.8−9.4±2.5
BH crosscourt19%+7.7+2.1+1.1+10.8±3.3
BH slice crosscourt12%−4.2−0.1+1.2−3.0±2.8
BH down the line7%+2.2−0.8−1.8−0.5±3.7

Lean BH crosscourt: +10.3±2.9 per 100 returns v the current mix (148 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DianaValue
FH through the middle42%−3.2−1.1+1.9−2.4±2.9
FH crosscourt36%+0.5−6.2+0.5−5.1±4.3
FH down the line22%−0.6−1.5−3.9−6.0±4.8

Lean FH through the middle: +1.8±2.5 per 100 returns v the current mix (67 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DianaValue
BH through the middle53%−2.6+0.6+3.1+1.1±2.4
BH crosscourt35%+1.5+1.2−1.8+0.9±3.2
BH down the line12%−0.5−2.1−1.3−3.9±4.4

Lean BH through the middle: +0.7±1.7 per 100 returns v the current mix (60 returns charted, inside the 90% margin)

Diana Shnaider returning

1st serve to the forehand

ReturnNowTourOwnv OliviaValue
FH through the middle45%+4.2+0.7−0.4+4.5±2.8
FH crosscourt26%+5.3−0.8−1.2+3.4±4.3
FH slice through the middle12%−6.7±0.0−0.1−6.8±2.6
FH down the line8%+1.5−0.7+0.3+1.2±4.7
FH slice crosscourt7%−6.6+0.6±0.0−6.0±1.9

Lean FH through the middle: +2.9±2.0 per 100 returns v the current mix (390 returns charted)

1st serve to the backhand

ReturnNowTourOwnv OliviaValue
BH through the middle39%+6.0−0.4−1.6+4.0±2.4
BH slice through the middle19%−6.2+1.1−0.7−5.8±2.3
BH crosscourt18%+7.7−2.2−2.8+2.7±3.5
BH down the line12%+2.2+3.2−1.5+3.8±4.6
BH slice crosscourt6%−4.2−0.9+0.6−4.5±2.6

Lean BH through the middle: +3.6±1.7 per 100 returns v the current mix (685 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv OliviaValue
FH crosscourt48%+0.5+2.1−2.4+0.2±4.4
FH through the middle37%−3.2−1.1+0.7−3.6±3.1
FH down the line15%−0.6−0.7−0.2−1.5±4.8

Lean FH crosscourt: +1.7±2.6 per 100 returns v the current mix (93 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv OliviaValue
BH through the middle53%−2.6+1.9+1.4+0.7±2.5
BH crosscourt33%+1.5+0.5−0.4+1.6±3.4
BH down the line10%−0.5+0.4−2.1−2.2±5.3
BH slice through the middle2%−11.7−0.3±0.0−11.9±1.2
FH through the middle1%−2.7+0.1+0.7−1.8±2.2

Lean BH crosscourt: +1.2±2.7 per 100 returns v the current mix (429 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.

Olivia Gadecki

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.0±5.3+1.4+2.6
BH to the middle · return+2.6±2.9−3.2+5.7
FH to their forehand · return +1+1.7±4.7−1.7+3.4
BH to the middle · return +1+0.8±3.0+1.1−0.3
FH to the middle · return+0.5±3.8−0.3+0.7
BH to the middle · rally−1.1±2.9−1.9+0.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−9.6±5.2−3.5−6.1
BH to their forehand · return−7.4±5.1−6.2−1.1
FH to their backhand · serve +1−7.3±4.8−3.9−3.4
BH to their backhand · rally−7.0±3.9−2.1−4.9
BH to their backhand · serve +1−5.4±4.3−1.3−4.0

Diana Shnaider

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+3.4±4.5+4.0−0.5
BH to the middle · return +1+2.3±3.0+1.2+1.1
FH to the middle · rally+2.2±3.0+1.9+0.4
FH to their forehand · return +1+1.8±4.6+3.3−1.5
BH to their forehand · return+1.7±5.2+4.0−2.3
BH to their backhand · return+1.7±4.3+3.9−2.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−9.5±4.7−6.8−2.7
FH to their forehand · return−4.4±4.3−4.1−0.3
BH to their backhand · rally−3.4±3.9−1.1−2.3
BH to their backhand · serve +1−3.1±4.2+1.2−4.3
BH to their backhand · return +1−2.1±4.2−1.9−0.2

Against Diana Shnaider-like opponents

Olivia Gadecki vMatchesServe pts wonReturn pts won
All charted opponents–54.1%38.8%
Players most similar to Diana Shnaider1 45.1%22.2%

Similar by tactical fingerprint: Alexandra Eala, Marta Kostyuk, Leylah Fernandez, Jasmine Paolini, Jaqueline Cristian, Olga Danilovic, Xiyu Wang, Nao Hibino, Eugenie Bouchard. When two players have rarely met, their records against these lookalikes fill the gap.