RallyIQ

Game plan

Lukas Rosol v Alejandro Davidovich Fokina

Every number combines what Lukas Rosol does well with what Alejandro Davidovich Fokina allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Lukas Rosol wins, best of 3 50%90%: 21%–79% · best of 5: 50%
Serve points won 66.2% / 66.2% Lukas / Alejandro · tour 65.7%
Strengths only, no similarity priors 50%serve 66.2% / 66.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Lukas Rosol's record against Alejandro Davidovich Fokina'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

CareerLukasAlejandro
Direction choice−0.27 ±0.17
better than 7%
−0.06 ±0.06
better than 42%
Shot selection−0.18 ±0.18
better than 31%
−0.04 ±0.10
better than 48%
Execution−1.65 ±0.79
better than 7%
−0.44 ±0.30
better than 47%
Points left on the table2.97 ±0.26
lower than 21%
2.43 ±0.11
lower than 70%

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.

Lukas Rosol serving

Deuce court

1st serveNowLukas winsv AlejandroMatchupOptimal
Wide49%66%71%63.2%±6.850%
Body18%63%59%58.5%±10.75% ▼
T32%78%74%77.1%±7.045% ▲

Optimal v Alejandro Davidovich Fokina: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLukas winsv AlejandroMatchupOptimal
Wide42%75%71%72.9%±7.155% ▲
Body20%53%61%51.3%±11.56% ▼
T38%68%68%63.4%±8.139%

Optimal v Alejandro Davidovich Fokina: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.9 per 100 first serves in before the returner adjusts.

Alejandro Davidovich Fokina serving

Deuce court

1st serveNowAlejandro winsv LukasMatchupOptimal
Wide47%69%80%77.3%±6.947%
Body24%59%67%62.6%±9.111% ▼
T29%66%77%68.4%±7.742% ▲

Optimal v Lukas Rosol: +0.9±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlejandro winsv LukasMatchupOptimal
Wide35%62%78%67.5%±7.848% ▲
Body22%63%66%66.1%±9.59% ▼
T43%65%71%64.6%±8.343%

Optimal v Lukas Rosol: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.5 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.

Lukas Rosol returning

1st serve to the forehand

ReturnNowTourOwnv AlejandroValue
FH through the middle56%+4.3−2.4+1.1+3.0±2.4
FH crosscourt35%+5.5±0.0−1.4+4.1±3.7
FH down the line9%+1.7+0.4−0.5+1.5±3.2

Lean FH crosscourt: +0.9±2.8 per 100 returns v the current mix (94 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AlejandroValue
BH through the middle29%+6.4−1.1+1.6+6.9±2.2
BH crosscourt20%+8.8−0.7+0.5+8.6±2.8
BH slice down the line14%−8.4+2.4−2.3−8.4±3.1
BH slice through the middle12%−4.2−1.8−3.2−9.2±2.3
BH down the line9%+4.2−0.2+0.3+4.3±3.7

Lean BH crosscourt: +5.9±2.4 per 100 returns v the current mix (114 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlejandroValue
BH crosscourt39%+1.0+1.1−0.1+1.9±2.8
BH through the middle35%−2.9−2.5−0.8−6.2±2.1
BH down the line17%−0.2+1.7+0.2+1.7±4.3
FH through the middle9%−2.9−1.3−1.1−5.3±1.5

Lean BH crosscourt: +3.6±2.0 per 100 returns v the current mix (54 returns charted)

Alejandro Davidovich Fokina returning

1st serve to the forehand

ReturnNowTourOwnv LukasValue
FH through the middle43%+4.3+0.4−1.2+3.5±2.5
FH down the line20%+1.7−2.5+0.1−0.7±3.8
FH crosscourt15%+5.5+0.4−2.0+3.9±4.0
FH slice through the middle15%−4.2−0.3+0.1−4.4±2.2
FH slice down the line4%−4.3−0.2±0.0−4.4±2.3

Lean FH crosscourt: +2.9±3.6 per 100 returns v the current mix (1084 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv LukasValue
BH through the middle42%+6.4+2.6+0.6+9.5±2.4
BH crosscourt24%+8.8+2.0+0.1+10.8±3.2
BH slice through the middle15%−4.2−2.1−0.9−7.2±2.4
BH down the line11%+4.2−0.8−3.0+0.4±4.2
BH slice crosscourt5%+0.5−3.0−0.6−3.1±2.8

Lean BH crosscourt: +5.7±2.7 per 100 returns v the current mix (962 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LukasValue
FH through the middle44%−3.5−0.8−0.6−4.9±2.8
FH down the line27%−1.8+1.1−2.4−3.1±4.4
FH crosscourt25%−0.2−5.7−0.3−6.3±4.1
FH slice through the middle4%−12.7−0.9±0.0−13.6±1.2

Lean FH down the line: +1.9±3.6 per 100 returns v the current mix (220 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LukasValue
BH through the middle42%−2.9+0.1+1.0−1.8±2.2
BH crosscourt36%+1.0+0.1+1.3+2.4±2.9
BH down the line18%−0.2−3.4−1.9−5.5±4.5
BH slice through the middle2%−11.3+0.1−0.2−11.4±2.0
FH inside-out1%+1.0+0.4−2.4−1.1±2.7

Lean BH crosscourt: +3.5±2.2 per 100 returns v the current mix (669 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Lukas Rosol

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.4±5.4+0.6+3.8
FH to their forehand · return+1.7±5.2+1.0+0.7
FH to their forehand · rally+0.9±5.0+0.4+0.5
FH to their backhand · rally±0.0±4.7−1.0+0.9
FH to the middle · serve +1−0.6±3.7−2.2+1.7
BH to their backhand · return−1.0±4.0+0.4−1.5

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−6.5±3.9−6.5±0.0
BH to their forehand · rally−4.9±6.1−2.4−2.5
FH to the middle · return−4.9±3.7−6.3+1.4
BH to their backhand · serve +1−4.3±3.9−4.5+0.2
FH to the middle · rally−3.7±3.5−4.1+0.4

Alejandro Davidovich Fokina

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+2.8±5.9+0.6+2.2
FH to their backhand · serve +1+2.4±5.2−1.9+4.3
BH to the middle · return+1.9±3.5+1.5+0.4
FH to their backhand · rally+1.0±4.7±0.0+1.1
FH to the middle · serve +1+1.0±3.9−0.6+1.6
BH to their backhand · rally−0.1±3.3−0.1+0.1

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−3.9±3.6−4.4+0.5
FH to their forehand · serve +1−3.1±5.7−6.1+3.0
FH to the middle · return−2.0±3.8+0.4−2.4
BH slice to the middle · return−1.9±3.5−0.8−1.1
BH slice to their backhand · rally−1.8±3.6−1.0−0.7

Against Alejandro Davidovich Fokina-like opponents

Lukas Rosol vMatchesServe pts wonReturn pts won
All charted opponents–60.1%30.0%

Similar by tactical fingerprint: Carlos Alcaraz, Fabian Marozsan, Tommy Paul, Alexander Shevchenko, Laslo Djere, Alexandre Muller, Holger Rune, Fabio Fognini, Kei Nishikori. When two players have rarely met, their records against these lookalikes fill the gap.