RallyIQ

Game plan

Jelena Ostapenko v Julia Goerges

Every number combines what Jelena Ostapenko 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

Jelena Ostapenko wins, best of 3 30%90%: 11%–56% · best of 5: 25%
Serve points won 56.4% / 60.6% Jelena / Julia · tour 56.3%
Strengths only, no similarity priors 29%serve 56.1% / 60.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jelena Ostapenko's record against Julia Goerges's tactical lookalikes and in their charted head-to-heads (lookalikes: +4.4 on serve, −4.7 on return vs expectation (236 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

CareerJelenaJulia
Direction choice+0.43 ±0.05
better than 98%
+0.23 ±0.09
better than 89%
Shot selection+0.12 ±0.09
better than 58%
+0.79 ±0.14
better than 99%
Execution−1.29 ±0.51
better than 14%
−0.84 ±0.54
better than 22%
Points left on the table1.88 ±0.07
lower than 100%
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.

Jelena Ostapenko serving

Deuce court

1st serveNowJelena winsv JuliaMatchupOptimal
Wide31%65%66%65.0%±6.929% ▼
Body13%56%59%57.2%±8.50% ▼
T56%68%71%71.1%±5.571% ▲

Optimal v Julia Goerges: +1.4±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJelena winsv JuliaMatchupOptimal
Wide36%67%70%70.8%±6.051% ▲
Body19%58%53%55.4%±8.119%
T45%64%57%56.4%±7.230% ▼

Optimal v Julia Goerges: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +9.4 per 100 first serves in before the returner adjusts.

Julia Goerges serving

Deuce court

1st serveNowJulia winsv JelenaMatchupOptimal
Wide47%70%66%69.9%±5.762% ▲
Body16%56%60%58.6%±8.61% ▼
T37%72%70%74.6%±6.037%

Optimal v Jelena Ostapenko: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJulia winsv JelenaMatchupOptimal
Wide38%72%65%70.9%±6.443% ▲
Body14%54%52%49.3%±9.60% ▼
T48%71%64%70.6%±5.957% ▲

Optimal v Jelena Ostapenko: +1.3±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.2 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.

Jelena Ostapenko returning

1st serve to the forehand

ReturnNowTourOwnv JuliaValue
FH through the middle35%+4.2−2.2−0.8+1.2±2.5
FH crosscourt29%+5.3+4.8+1.9+11.9±3.9
FH down the line21%+1.5−2.7+2.5+1.3±4.4
FH slice through the middle8%−6.7−1.3−0.6−8.6±2.6
FH slice crosscourt4%−6.6−0.5+0.8−6.4±2.5

Lean FH crosscourt: +9.0±3.0 per 100 returns v the current mix (727 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JuliaValue
BH through the middle37%+6.0−3.0−1.9+1.2±2.4
BH crosscourt29%+7.7−1.5+1.5+7.7±3.3
BH down the line14%+2.2−2.8−0.4−1.1±4.6
BH slice through the middle11%−6.2−1.9−1.4−9.6±2.5
BH slice crosscourt6%−4.2−2.6−0.3−7.1±2.8

Lean BH crosscourt: +7.0±2.6 per 100 returns v the current mix (682 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JuliaValue
FH crosscourt57%+0.5−3.8+1.9−1.3±4.3
FH through the middle24%−3.2−2.1+0.5−4.8±3.1
FH down the line19%−0.6−3.8+0.6−3.8±5.2

Lean FH crosscourt: +1.3±2.2 per 100 returns v the current mix (202 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JuliaValue
BH crosscourt49%+1.5−0.4−1.0+0.1±3.0
BH through the middle29%−2.6−2.2−3.4−8.1±2.6
BH down the line19%−0.5−5.0−1.9−7.5±5.2
FH inside-in1%+0.7−0.6+1.9+2.0±3.9
FH through the middle1%−2.7−0.2+0.5−2.4±2.2

Lean BH crosscourt: +3.9±2.0 per 100 returns v the current mix (417 returns charted)

Julia Goerges returning

1st serve to the forehand

ReturnNowTourOwnv JelenaValue
FH through the middle33%+4.2−2.0−1.1+1.0±2.6
FH down the line28%+1.5+0.3−1.6+0.2±4.3
FH crosscourt18%+5.3+2.3+1.0+8.6±4.1
FH slice through the middle15%−6.7−0.9+1.8−5.8±2.6
FH slice crosscourt3%−6.6+0.7−1.6−7.5±2.4

Lean FH crosscourt: +8.0±3.6 per 100 returns v the current mix (265 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JelenaValue
BH through the middle43%+6.0−1.7+0.2+4.6±2.2
BH crosscourt19%+7.7−3.5+1.3+5.5±3.2
BH down the line18%+2.2−1.8+2.1+2.5±4.4
BH slice through the middle11%−6.2−1.9+1.7−6.4±2.5
BH slice crosscourt7%−4.2−4.0+2.7−5.4±3.0

Lean BH crosscourt: +3.5±2.9 per 100 returns v the current mix (371 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JelenaValue
FH crosscourt40%+0.5−1.6+3.2+2.1±3.9
FH through the middle32%−3.2−1.3−0.6−5.1±2.6
FH down the line28%−0.6−1.1−3.0−4.7±4.6

Lean FH crosscourt: +4.2±2.8 per 100 returns v the current mix (57 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JelenaValue
BH through the middle33%−2.6−3.0+0.4−5.2±2.5
BH crosscourt25%+1.5+0.8+2.2+4.5±3.2
BH down the line22%−0.5−3.7+10.4+6.2±4.9
FH inside-out8%+1.4−2.8−3.0−4.5±3.7
FH inside-in6%+0.7+1.2+3.2+5.1±3.7

Lean BH down the line: +5.6±4.0 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.

Jelena Ostapenko

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+4.0±3.4+1.5+2.4
FH to their backhand · rally+1.7±3.0+2.9−1.3
FH to their backhand · return +1+0.2±3.8−0.4+0.6
BH to the middle · return +1−0.4±2.5−1.5+1.1
FH to their forehand · return +1−0.4±3.2−1.3+0.9
FH to their backhand · return−0.5±3.8−2.5+2.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−8.2±4.2−3.3−5.0
BH to their forehand · return−7.4±3.9−5.3−2.1
FH to their backhand · serve +1−6.2±3.4−2.4−3.7
BH to the middle · return−5.7±1.9−2.3−3.3
BH to their forehand · rally−5.4±3.8−1.6−3.8

Julia Goerges

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+3.6±3.7−3.6+7.2
BH to their backhand · return+1.9±2.7+0.3+1.7
FH to their forehand · return+1.9±3.5−0.1+2.0
BH to the middle · serve +1+1.3±2.2+0.7+0.6
FH to their backhand · serve +1+0.9±3.2+2.2−1.4
FH to their forehand · return +1+0.3±3.2+0.6−0.4

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−6.5±4.2−1.4−5.2
FH to the middle · return−4.5±2.1−3.3−1.2
FH to their backhand · return +1−3.4±3.9−1.8−1.6
FH to their backhand · return−2.9±3.4−0.2−2.7
FH to their backhand · rally−2.7±3.0+0.4−3.1

Against Julia Goerges-like opponents

Jelena Ostapenko vMatchesServe pts wonReturn pts won
All charted opponents–55.0%43.9%
Players most similar to Julia Goerges2 60.0%40.6%

Similar by tactical fingerprint: Madison Keys, Amanda Anisimova, Talia Gibson, Dayana Yastremska, 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.