RallyIQ

Game plan

Dayana Yastremska v Julia Goerges

Every number combines what Dayana Yastremska does well with what Julia Goerges allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Dayana Yastremska wins, best of 3 23%90%: 4%–59% · best of 5: 17%
Serve points won 54.7% / 60.4% Dayana / Julia · tour 55.0%
Strengths only, no similarity priors 23%serve 54.7% / 60.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Dayana Yastremska's record against Julia Goerges'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

CareerDayanaJulia
Direction choice−0.06 ±0.08
better than 43%
+0.23 ±0.09
better than 89%
Shot selection+0.11 ±0.22
better than 56%
+0.79 ±0.14
better than 99%
Execution−1.81 ±0.55
better than 6%
−0.84 ±0.54
better than 22%
Points left on the table2.66 ±0.15
lower than 40%
2.33 ±0.13
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.

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.

Dayana Yastremska serving

Deuce court

1st serveNowDayana winsv JuliaMatchupOptimal
Wide46%63%66%63.4%±7.044% ▼
Body16%62%59%63.9%±8.33% ▼
T38%69%71%72.1%±6.353% ▲

Optimal v Julia Goerges: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDayana winsv JuliaMatchupOptimal
Wide42%68%70%71.9%±6.457% ▲
Body17%56%53%53.7%±9.12% ▼
T41%61%57%53.5%±7.941%

Optimal v Julia Goerges: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +10.7 per 100 first serves in before the returner adjusts.

Julia Goerges serving

Deuce court

1st serveNowJulia winsv DayanaMatchupOptimal
Wide47%70%65%69.0%±6.247%
Body16%56%56%54.8%±9.11% ▼
T37%72%68%72.7%±6.652% ▲

Optimal v Dayana Yastremska: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJulia winsv DayanaMatchupOptimal
Wide38%72%68%74.2%±6.454% ▲
Body14%54%56%54.0%±10.00% ▼
T48%71%66%73.1%±6.146% ▼

Optimal v Dayana Yastremska: +1.5±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.3 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.

Dayana Yastremska returning

1st serve to the forehand

ReturnNowTourOwnv JuliaValue
FH through the middle44%+4.2−2.2−0.8+1.2±2.6
FH down the line37%+1.5−7.3+2.5−3.2±4.3
FH crosscourt17%+5.3−1.6+1.9+5.6±4.3
FH slice through the middle1%−6.7−0.7−0.6−8.0±2.2

Lean FH crosscourt: +5.4±4.1 per 100 returns v the current mix (475 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JuliaValue
BH through the middle48%+6.0−0.6−1.9+3.6±2.5
BH down the line27%+2.2−1.4−0.4+0.3±4.5
BH crosscourt15%+7.7−0.9+1.5+8.3±3.6
BH slice through the middle4%−6.2−2.2−1.4−9.8±2.4
BH slice crosscourt3%−4.2−3.1−0.3−7.6±2.5

Lean BH crosscourt: +6.2±3.5 per 100 returns v the current mix (446 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JuliaValue
FH through the middle35%−3.2−1.6+0.5−4.3±3.1
FH down the line34%−0.6+2.6+0.6+2.7±5.3
FH crosscourt26%+0.5−2.3+1.9+0.2±4.5
BH through the middle4%−1.0−0.2−3.4−4.5±1.9

Lean FH down the line: +3.4±3.8 per 100 returns v the current mix (137 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JuliaValue
BH through the middle49%−2.6−2.3−3.4−8.2±2.6
BH crosscourt27%+1.5−0.3−1.0+0.2±3.4
BH down the line24%−0.5−3.3−1.9−5.8±5.2

Lean BH crosscourt: +5.6±3.0 per 100 returns v the current mix (246 returns charted)

Julia Goerges returning

1st serve to the forehand

ReturnNowTourOwnv DayanaValue
FH through the middle33%+4.2−2.0+0.5+2.6±2.7
FH down the line28%+1.5+0.3+0.9+2.7±4.6
FH crosscourt18%+5.3+2.3−4.6+3.0±4.1
FH slice through the middle15%−6.7−0.9+1.3−6.4±2.6
FH slice crosscourt3%−6.6+0.7+1.0−4.9±2.5

Lean FH crosscourt: +2.2±3.7 per 100 returns v the current mix (265 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv DayanaValue
BH through the middle43%+6.0−1.7+0.4+4.7±2.4
BH crosscourt19%+7.7−3.5+0.3+4.5±3.4
BH down the line18%+2.2−1.8−3.9−3.5±4.6
BH slice through the middle11%−6.2−1.9−0.9−9.0±2.6
BH slice crosscourt7%−4.2−4.0−1.8−9.9±2.8

Lean BH through the middle: +4.5±1.7 per 100 returns v the current mix (371 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DayanaValue
FH crosscourt40%+0.5−1.6−3.7−4.7±4.2
FH through the middle32%−3.2−1.3+1.4−3.1±2.7
FH down the line28%−0.6−1.1−3.0−4.7±4.9

Lean FH through the middle: +1.1±2.9 per 100 returns v the current mix (57 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DayanaValue
BH through the middle33%−2.6−3.0−1.0−6.6±2.5
BH crosscourt25%+1.5+0.8−2.1+0.1±3.4
BH down the line22%−0.5−3.7−4.0−8.3±5.2
FH inside-out8%+1.4−2.8−3.0−4.4±4.0
FH inside-in6%+0.7+1.2−3.7−1.7±4.1

Lean BH crosscourt: +4.7±3.0 per 100 returns v the current mix (183 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Dayana Yastremska

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+1.7±4.6+0.8+0.9
BH to their backhand · serve +1+1.0±4.4+1.7−0.7
BH to their backhand · rally+0.4±4.0−1.4+1.8
FH to their forehand · return+0.3±5.7−0.6+0.9
BH to the middle · return +1−0.2±3.0−1.3+1.0
BH to their forehand · return−0.8±5.8+0.3−1.1

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−8.8±5.7−1.6−7.2
BH to their forehand · return +1−8.3±6.3−3.7−4.6
FH to their backhand · serve +1−7.2±4.9−2.9−4.3
BH to their backhand · return−5.2±4.0−3.0−2.2
BH to their forehand · serve +1−5.0±6.1−1.2−3.9

Julia Goerges

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+5.2±4.5+3.0+2.2
BH to their backhand · return +1+4.9±4.2+4.3+0.6
FH to their backhand · serve +1+4.0±4.8+5.1−1.1
BH to the middle · return +1+1.8±3.3+1.1+0.7
FH to their forehand · serve +1+1.6±4.2+2.0−0.5
BH to the middle · serve +1+1.3±3.3−0.3+1.6

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return−10.0±5.7−6.4−3.6
FH to their forehand · rally−7.7±4.2−4.6−3.2
FH to their backhand · return +1−6.2±5.5−2.1−4.1
FH to their forehand · return−5.8±4.7−1.0−4.8
FH to their backhand · return−4.4±4.6−3.0−1.4

Against Julia Goerges-like opponents

Dayana Yastremska vMatchesServe pts wonReturn pts won
All charted opponents–56.0%42.3%

Similar by tactical fingerprint: Madison Keys, Amanda Anisimova, Talia Gibson, Viktoria Hruncakova, Anastasia Pavlyuchenkova, Alycia Parks, Sabine Lisicki, Ana Ivanovic, Daniela Hantuchova. When two players have rarely met, their records against these lookalikes fill the gap.