RallyIQ

Game plan

Julia Goerges v Alycia Parks

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

Forecast

Julia Goerges wins, best of 3 87%90%: 65%–97% · best of 5: 92%
Serve points won 63.1% / 54.2% Julia / Alycia · tour 56.3%
Strengths only, no similarity priors 87%serve 63.1% / 54.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerJuliaAlycia
Direction choice+0.23 ±0.09
better than 89%
+0.10 ±0.08
better than 73%
Shot selection+0.79 ±0.14
better than 99%
+0.28 ±0.12
better than 76%
Execution−0.84 ±0.54
better than 22%
−3.50 ±0.79
better than 0%
Points left on the table2.33 ±0.13
lower than 84%
2.57 ±0.13
lower than 55%

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.

Julia Goerges serving

Deuce court

1st serveNowJulia winsv AlyciaMatchupOptimal
Wide47%70%71%74.1%±6.062% ▲
Body16%56%61%60.0%±9.31% ▼
T37%72%65%70.0%±7.737%

Optimal v Alycia Parks: +1.0±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJulia winsv AlyciaMatchupOptimal
Wide38%72%66%72.0%±7.050% ▲
Body14%54%61%58.9%±10.30% ▼
T48%71%68%74.9%±6.650% ▲

Optimal v Alycia Parks: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.3 per 100 first serves in before the returner adjusts.

Alycia Parks serving

Deuce court

1st serveNowAlycia winsv JuliaMatchupOptimal
Wide52%69%66%68.9%±6.951%
Body15%54%59%55.3%±10.40% ▼
T34%67%71%70.7%±7.249% ▲

Optimal v Julia Goerges: +1.4±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlycia winsv JuliaMatchupOptimal
Wide40%71%70%74.5%±6.755% ▲
Body16%56%53%53.3%±10.26% ▼
T44%65%57%57.4%±8.339% ▼

Optimal v Julia Goerges: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +10.9 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.

Julia Goerges returning

1st serve to the forehand

ReturnNowTourOwnv AlyciaValue
FH through the middle33%+4.2−2.0+0.8+2.9±2.9
FH down the line28%+1.5+0.3+1.3+3.1±4.7
FH crosscourt18%+5.3+2.3−0.4+7.2±4.4
FH slice through the middle15%−6.7−0.9+1.4−6.3±2.6
FH slice crosscourt3%−6.6+0.7+0.1−5.8±2.3

Lean FH crosscourt: +5.4±3.9 per 100 returns v the current mix (265 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlyciaValue
BH through the middle43%+6.0−1.7+0.2+4.6±2.6
BH crosscourt19%+7.7−3.5−1.7+2.5±3.7
BH down the line18%+2.2−1.8−1.6−1.2±4.7
BH slice through the middle11%−6.2−1.9−0.1−8.2±2.6
BH slice crosscourt7%−4.2−4.0+0.4−7.7±2.9

Lean BH through the middle: +4.2±1.9 per 100 returns v the current mix (371 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlyciaValue
FH crosscourt40%+0.5−1.6+0.6−0.4±4.3
FH through the middle32%−3.2−1.3+1.9−2.6±2.7
FH down the line28%−0.6−1.1−2.7−4.4±4.9

Lean FH crosscourt: +1.8±3.1 per 100 returns v the current mix (57 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AlyciaValue
BH through the middle33%−2.6−3.0+0.4−5.2±2.7
BH crosscourt25%+1.5+0.8−1.9+0.3±3.7
BH down the line22%−0.5−3.7−2.9−7.1±5.2
FH inside-out8%+1.4−2.8−2.7−4.1±4.0
FH inside-in6%+0.7+1.2+0.6+2.6±4.2

Lean BH crosscourt: +3.8±3.1 per 100 returns v the current mix (183 returns charted)

Alycia Parks returning

1st serve to the forehand

ReturnNowTourOwnv JuliaValue
FH through the middle40%+4.2−4.9−0.8−1.6±2.8
FH crosscourt23%+5.3+0.8+1.9+7.9±4.3
FH down the line21%+1.5−4.3+2.5−0.2±4.7
FH slice through the middle11%−6.7−2.3−0.6−9.6±2.6
FH slice down the line3%−10.5−1.2±0.0−11.7±2.8

Lean FH crosscourt: +8.3±3.6 per 100 returns v the current mix (337 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JuliaValue
BH through the middle50%+6.0−3.8−1.9+0.4±2.5
BH crosscourt25%+7.7−3.1+1.5+6.1±3.6
BH down the line18%+2.2+0.1−0.4+1.8±4.7
BH slice through the middle3%−6.2−1.4−1.4−9.0±2.3
BH slice crosscourt2%−4.2−0.6−0.3−5.0±2.4

Lean BH crosscourt: +4.7±3.1 per 100 returns v the current mix (344 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JuliaValue
FH through the middle40%−3.2−1.0+0.5−3.6±3.1
FH down the line35%−0.6−4.2+0.6−4.2±5.2
FH crosscourt20%+0.5+3.5+1.9+6.0±4.3
FH slice through the middle5%−15.2−0.7±0.0−15.9±1.1

Lean FH crosscourt: +8.6±4.1 per 100 returns v the current mix (96 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JuliaValue
BH through the middle43%−2.6+1.7−3.4−4.3±2.7
BH crosscourt34%+1.5+1.1−1.0+1.6±3.4
BH down the line24%−0.5−0.8−1.9−3.2±5.2

Lean BH crosscourt: +3.6±2.8 per 100 returns v the current mix (148 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.

Julia Goerges

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.0±3.6+2.2+0.7
BH to their backhand · return +1+2.9±3.6+2.5+0.4
BH to the middle · serve +1+1.4±2.5+0.7+0.7
BH to the middle · rally+0.5±2.3−0.1+0.6
BH to their forehand · rally−0.1±4.5−1.4+1.3
BH to their backhand · serve +1−0.2±3.5+1.1−1.4

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return−6.8±4.3−3.6−3.1
FH to their forehand · rally−6.7±3.1−2.7−4.0
FH to their forehand · serve +1−3.7±3.6+1.2−4.8
BH to their forehand · serve +1−3.6±4.8−1.4−2.3
FH to the middle · return−2.7±2.3−3.3+0.6

Alycia Parks

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+0.9±4.0−1.6+2.4
BH to the middle · return +1−0.4±2.6−1.5+1.1
FH to their forehand · return +1−0.8±3.8−1.7+0.9
FH to the middle · return +1−1.0±2.8−1.8+0.8
BH to their backhand · return +1−1.2±3.5−1.8+0.6
BH to their backhand · return−1.4±3.0−0.4−1.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−12.3±4.5−8.5−3.8
BH to their forehand · serve +1−12.0±4.7−7.0−5.0
BH to their forehand · return +1−10.6±4.8−7.1−3.5
FH to their backhand · serve +1−8.6±3.6−4.9−3.7
BH to their backhand · rally−7.5±2.9−7.8+0.3

Against Alycia Parks-like opponents

Julia Goerges vMatchesServe pts wonReturn pts won
All charted opponents–62.2%42.5%

Similar by tactical fingerprint: Madison Keys, Amanda Anisimova, Talia Gibson, Dayana Yastremska, Anastasia Pavlyuchenkova, Petra Kvitova, Sabine Lisicki, Ana Konjuh, Daniela Hantuchova. When two players have rarely met, their records against these lookalikes fill the gap.