RallyIQ

Game plan

Juan Pablo Varillas v Andrey Rublev

Every number combines what Juan Pablo Varillas does well with what Andrey Rublev allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Juan Pablo Varillas wins, best of 3 31%90%: 11%–58% · best of 5: 26%
Serve points won 62.1% / 66.1% Juan / Andrey · tour 63.4%
Strengths only, no similarity priors 31%serve 62.1% / 66.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Juan Pablo Varillas's record against Andrey Rublev'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

CareerJuanAndrey
Direction choice−0.06 ±0.13
better than 43%
+0.03 ±0.04
better than 64%
Shot selection+0.37 ±0.13
better than 84%
−0.01 ±0.06
better than 52%
Execution−0.07 ±0.85
better than 65%
+0.89 ±0.28
better than 94%
Points left on the table2.44 ±0.20
lower than 69%
2.39 ±0.07
lower than 74%

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.

Juan Pablo Varillas serving

Deuce court

1st serveNowJuan winsv AndreyMatchupOptimal
Wide41%72%74%72.8%±6.254% ▲
Body8%54%60%51.1%±11.60% ▼
T51%68%72%64.6%±6.546% ▼

Optimal v Andrey Rublev: +0.8±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJuan winsv AndreyMatchupOptimal
Wide50%66%72%64.9%±6.744% ▼
Body7%66%60%63.5%±12.80% ▼
T42%73%74%74.7%±6.256% ▲

Optimal v Andrey Rublev: +0.8±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.7 per 100 first serves in before the returner adjusts.

Andrey Rublev serving

Deuce court

1st serveNowAndrey winsv JuanMatchupOptimal
Wide44%74%78%79.0%±5.557% ▲
Body5%68%67%72.0%±10.20% ▼
T51%80%76%80.2%±5.243% ▼

Optimal v Juan Pablo Varillas: +0.4±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAndrey winsv JuanMatchupOptimal
Wide52%77%72%75.8%±5.942% ▼
Body4%68%64%69.2%±12.00% ▼
T44%73%75%76.6%±5.958% ▲

Optimal v Juan Pablo Varillas: +0.3±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.7 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.

Juan Pablo Varillas returning

1st serve to the forehand

ReturnNowTourOwnv AndreyValue
FH through the middle57%+4.3±0.0+2.7+6.9±2.3
FH down the line23%+1.7−1.7+0.8+0.8±3.8
FH crosscourt16%+5.5−0.3+5.0+10.3±3.5
FH slice through the middle5%−4.2−0.7+0.8−4.2±1.5

Lean FH crosscourt: +4.8±3.3 per 100 returns v the current mix (166 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AndreyValue
BH through the middle51%+6.4−1.1+3.1+8.4±2.1
BH crosscourt29%+8.8+1.3+3.6+13.7±2.9
BH down the line16%+4.2+0.2+2.4+6.7±3.9
BH slice through the middle4%−4.2−0.5−0.5−5.2±1.5

Lean BH crosscourt: +4.6±2.4 per 100 returns v the current mix (171 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AndreyValue
BH through the middle41%−2.9+0.8+0.3−1.8±1.9
BH crosscourt35%+1.0+1.9+0.9+3.8±2.5
FH through the middle11%−2.9+0.7+1.1−1.1±1.8
BH down the line8%−0.2−0.5+7.5+6.8±3.7
FH inside-out5%+1.0+1.4+1.0+3.4±2.5

Lean BH crosscourt: +2.6±1.9 per 100 returns v the current mix (170 returns charted)

Andrey Rublev returning

1st serve to the forehand

ReturnNowTourOwnv JuanValue
FH through the middle46%+4.3+1.4−2.0+3.6±2.2
FH crosscourt24%+5.5+3.9−0.1+9.4±3.5
FH down the line13%+1.7+2.5−1.1+3.1±3.9
FH slice through the middle10%−4.2−2.9±0.0−7.1±1.3
FH slice crosscourt4%−4.3−0.6±0.0−4.9±1.9

Lean FH crosscourt: +6.0±2.9 per 100 returns v the current mix (2295 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JuanValue
BH through the middle47%+6.4+3.2+0.1+9.8±2.1
BH crosscourt32%+8.8+3.9+1.3+14.0±2.8
BH down the line9%+4.2+4.2+1.0+9.4±4.0
BH slice through the middle6%−4.2−0.6+0.3−4.5±2.1
BH slice crosscourt3%+0.5−2.2−1.7−3.4±2.8

Lean BH crosscourt: +4.5±2.2 per 100 returns v the current mix (2738 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JuanValue
FH through the middle44%−3.5+1.0+0.9−1.5±2.5
FH crosscourt29%−0.2+0.6−0.1+0.3±3.9
FH down the line21%−1.8−0.4+0.4−1.9±4.4
BH through the middle2%+0.1−0.7−0.6−1.3±1.9
FH slice through the middle2%−12.7−0.3±0.0−13.0±1.4

Lean FH crosscourt: +1.5±3.1 per 100 returns v the current mix (677 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JuanValue
BH crosscourt43%+1.0+0.8+0.6+2.5±2.5
BH through the middle39%−2.9+0.8−0.6−2.8±2.0
BH down the line9%−0.2+2.3−0.4+1.7±4.1
FH through the middle4%−2.9−1.1+0.9−3.1±2.4
FH inside-in2%+0.6+1.0−0.1+1.4±4.3

Lean BH crosscourt: +2.4±1.7 per 100 returns v the current mix (2289 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.

Juan Pablo Varillas

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+3.8±2.9+2.0+1.8
FH to the middle · return+3.2±2.0+0.9+2.3
BH to their backhand · return+2.7±2.4+1.6+1.1
FH to their forehand · return +1+2.0±3.5+0.5+1.5
FH to their backhand · rally+1.9±1.9+1.2+0.7
BH to the middle · serve +1+1.7±2.1+2.3−0.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−5.3±3.2−3.9−1.4
BH to their forehand · rally−4.4±3.2−2.6−1.7
BH to their backhand · return +1−4.0±2.7−3.2−0.9
BH to their backhand · serve +1−1.9±2.6−1.3−0.7
BH to the middle · rally−0.8±1.5−0.2−0.6

Andrey Rublev

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+4.5±3.2+0.8+3.8
FH to their forehand · rally+4.0±2.1+1.4+2.6
BH to their backhand · return+3.5±2.3+2.2+1.3
BH to the middle · rally+3.3±1.6+1.2+2.1
FH to their forehand · serve +1+3.1±2.9+1.4+1.7
FH to their forehand · return +1+2.3±3.4+1.1+1.2

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−3.7±2.0−2.7−1.0
FH to their backhand · return +1−3.1±3.2−0.8−2.3
FH to the middle · return +1−1.4±2.3−1.2−0.3
BH to the middle · return +1−0.8±2.0−0.2−0.6
BH to their backhand · return +1−0.6±2.6−0.5−0.1

Against Andrey Rublev-like opponents

Juan Pablo Varillas vMatchesServe pts wonReturn pts won
All charted opponents–60.6%36.1%

Similar by tactical fingerprint: Karen Khachanov, Laslo Djere, Rinky Hijikata, Aleksandar Vukic, Borna Coric, David Goffin, Thanasi Kokkinakis, Kyle Edmund, Robin Soderling. When two players have rarely met, their records against these lookalikes fill the gap.