RallyIQ

Game plan

Alison Van Uytvanck v Elina Svitolina

Every number combines what Alison Van Uytvanck does well with what Elina Svitolina allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Alison Van Uytvanck wins, best of 3 24%90%: 11%–44% · best of 5: 19%
Serve points won 57.4% / 62.8% Alison / Elina · tour 56.4%
Strengths only, no similarity priors 25%serve 57.2% / 62.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Alison Van Uytvanck's record against Elina Svitolina's tactical lookalikes and in their charted head-to-heads (lookalikes: +4.3 on serve, −10.0 on return vs expectation (128 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

CareerAlisonElina
Direction choice−0.17 ±0.13
better than 22%
−0.09 ±0.04
better than 37%
Shot selection−0.40 ±0.14
better than 17%
−0.08 ±0.06
better than 36%
Execution−0.18 ±0.59
better than 52%
+0.90 ±0.18
better than 88%
Points left on the table3.17 ±0.19
lower than 5%
2.66 ±0.05
lower than 41%

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.

Alison Van Uytvanck serving

Deuce court

1st serveNowAlison winsv ElinaMatchupOptimal
Wide44%67%65%65.9%±6.759% ▲
Body20%56%57%55.9%±9.55% ▼
T36%67%68%67.1%±7.636%

Optimal v Elina Svitolina: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlison winsv ElinaMatchupOptimal
Wide40%71%64%69.8%±7.542% ▲
Body7%51%58%52.3%±12.90% ▼
T53%68%66%69.3%±6.758% ▲

Optimal v Elina Svitolina: +0.4±0.4 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.5 per 100 first serves in before the returner adjusts.

Elina Svitolina serving

Deuce court

1st serveNowElina winsv AlisonMatchupOptimal
Wide39%69%70%72.1%±6.254% ▲
Body17%56%60%58.1%±9.72% ▼
T44%70%70%72.0%±7.244%

Optimal v Alison Van Uytvanck: +1.3±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowElina winsv AlisonMatchupOptimal
Wide43%69%73%75.7%±6.559% ▲
Body15%59%58%61.1%±11.20% ▼
T41%64%70%68.9%±7.041%

Optimal v Alison Van Uytvanck: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.0 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.

Alison Van Uytvanck returning

1st serve to the forehand

ReturnNowTourOwnv ElinaValue
FH slice through the middle49%−6.7+0.4−0.4−6.7±2.2
FH through the middle18%+4.2+0.1−0.3+4.0±2.3
FH slice down the line10%−10.5+1.8−0.5−9.1±3.2
FH slice crosscourt9%−6.6−1.8−1.4−9.8±2.6
FH down the line7%+1.5−2.2+2.2+1.6±3.3

Lean FH through the middle: +8.1±2.3 per 100 returns v the current mix (184 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ElinaValue
BH crosscourt40%+7.7+0.7−0.3+8.1±3.0
BH through the middle39%+6.0+2.9−0.2+8.8±2.2
BH down the line7%+2.2+1.3−0.5+3.0±3.1
BH slice crosscourt6%−4.2+0.9−0.9−4.2±2.5
BH slice down the line4%−12.5−1.0−1.7−15.2±2.9

Lean BH through the middle: +3.0±1.8 per 100 returns v the current mix (131 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ElinaValue
FH through the middle61%−3.2−1.3−0.1−4.6±2.4
FH crosscourt22%+0.5+2.0±0.0+2.6±2.9
FH down the line17%−0.6+0.1+1.8+1.3±3.3

Lean FH through the middle: −2.6±1.3 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ElinaValue
BH through the middle51%−2.6−2.2−0.5−5.2±2.1
BH crosscourt49%+1.5−4.3−0.2−3.0±2.9

Lean BH crosscourt: +1.2±1.8 per 100 returns v the current mix (69 returns charted, inside the 90% margin)

Elina Svitolina returning

1st serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle48%+4.2+2.2−2.2+4.1±2.3
FH crosscourt18%+5.3+1.2±0.0+6.5±3.6
FH down the line14%+1.5−0.5−0.8+0.3±3.9
FH slice through the middle12%−6.7+1.1−0.4−6.0±2.1
FH slice crosscourt5%−6.6−1.1−0.6−8.3±2.2

Lean FH crosscourt: +4.8±3.2 per 100 returns v the current mix (2739 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlisonValue
BH through the middle48%+6.0+1.7+1.1+8.9±2.2
BH crosscourt29%+7.7+1.4+0.7+9.8±2.9
BH down the line11%+2.2+1.5+0.7+4.3±3.9
BH slice through the middle5%−6.2−1.8+1.6−6.4±2.3
BH slice crosscourt3%−4.2−2.2−0.9−7.2±2.5

Lean BH crosscourt: +3.1±2.4 per 100 returns v the current mix (2082 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle49%−3.2+0.7+1.0−1.5±2.5
FH crosscourt28%+0.5+1.8+1.4+3.7±3.6
FH down the line19%−0.6−1.8±0.0−2.3±3.4
FH slice through the middle3%−15.2+0.6±0.0−14.6±1.7

Lean FH crosscourt: +4.3±2.9 per 100 returns v the current mix (613 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlisonValue
BH through the middle42%−2.6+1.3+2.7+1.4±2.2
BH crosscourt42%+1.5+1.5+2.2+5.1±3.0
BH down the line12%−0.5−0.3−0.4−1.2±4.9
FH through the middle1%−2.7−0.5+1.0−2.2±2.3
FH inside-out1%+1.4−0.6±0.0+0.8±2.5

Lean BH crosscourt: +2.6±2.1 per 100 returns v the current mix (1205 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Alison Van Uytvanck

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+3.4±4.3+3.2+0.2
BH slice to the middle · rally+1.7±2.7+1.1+0.6
BH to their backhand · rally+1.6±3.6+1.5+0.1
BH to the middle · serve +1+1.2±2.8+0.4+0.9
FH to the middle · serve +1+0.7±3.0+0.9−0.2
BH to the middle · rally+0.4±2.4+0.5−0.1

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−3.5±3.2−2.8−0.7
BH to the middle · return−3.1±2.3−2.2−0.9
BH to their backhand · return−2.6±3.3−1.6−1.0
FH to their backhand · serve +1−1.3±4.8−3.3+2.1
FH to the middle · rally−1.1±2.5−0.1−0.9

Elina Svitolina

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+4.6±5.6+1.2+3.3
BH to their backhand · return+2.7±3.7+0.8+1.9
BH to the middle · return+2.3±2.3+1.1+1.3
FH to their backhand · rally+2.1±3.9+0.9+1.1
FH to their forehand · serve +1+1.8±4.6+1.1+0.7
FH to their backhand · serve +1+1.4±4.7+0.8+0.6

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−1.5±4.3+0.9−2.4
FH to their forehand · rally−1.1±2.9+0.4−1.4
BH to their forehand · rally−1.0±4.9+0.5−1.5
BH to the middle · rally−0.4±2.4+1.5−1.8
FH to the middle · rally+0.6±2.5+0.7−0.1

Against Elina Svitolina-like opponents

Alison Van Uytvanck vMatchesServe pts wonReturn pts won
All charted opponents–57.9%37.1%
Players most similar to Elina Svitolina1 60.6%28.1%

Similar by tactical fingerprint: Jessica Pegula, Maya Joint, Jaqueline Cristian, Maria Sakkari, Ajla Tomljanovic, Ana Bogdan, Heather Watson, Irina Camelia Begu, Andrea Petkovic, Johanna Larsson. When two players have rarely met, their records against these lookalikes fill the gap.