RallyIQ

Game plan

Luciano Darderi v Aleksandar Vukic

Every number combines what Luciano Darderi does well with what Aleksandar Vukic allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Luciano Darderi wins, best of 3 69%90%: 41%–89% · best of 5: 73%
Serve points won 69.7% / 65.6% Luciano / Aleksandar · tour 63.8%
Strengths only, no similarity priors 69%serve 69.7% / 65.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerLucianoAleksandar
Direction choice+0.03 ±0.12
better than 66%
−0.13 ±0.20
better than 24%
Shot selection−0.06 ±0.20
better than 46%
+0.04 ±0.24
better than 58%
Execution−0.01 ±0.84
better than 68%
−0.89 ±0.39
better than 28%
Points left on the table2.52 ±0.21
lower than 59%
2.44 ±0.25
lower than 68%

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.

Luciano Darderi serving

Deuce court

1st serveNowLuciano winsv AleksandarMatchupOptimal
Wide48%67%75%69.7%±8.539% ▼
Body5%66%59%61.6%±14.30% ▼
T48%79%86%88.1%±5.261% ▲

Optimal v Aleksandar Vukic: +0.8±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +10.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLuciano winsv AleksandarMatchupOptimal
Wide61%74%73%73.7%±7.374% ▲
Body4%61%62%59.7%±15.70% ▼
T35%70%81%79.9%±8.026% ▼

Optimal v Aleksandar Vukic: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.6 per 100 first serves in before the returner adjusts.

Aleksandar Vukic serving

Deuce court

1st serveNowAleksandar winsv LucianoMatchupOptimal
Wide44%70%81%78.1%±7.440% ▼
Body9%56%60%53.2%±14.70% ▼
T47%78%77%80.2%±6.360% ▲

Optimal v Luciano Darderi: +1.2±0.8 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 serveNowAleksandar winsv LucianoMatchupOptimal
Wide53%77%73%76.5%±7.246% ▼
Body5%62%64%62.9%±15.70% ▼
T41%72%75%75.0%±8.054% ▲

Optimal v Luciano Darderi: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.4 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.

Luciano Darderi returning

1st serve to the forehand

ReturnNowTourOwnv AleksandarValue
FH through the middle37%+4.3+1.1±0.0+5.3±3.0
FH crosscourt23%+5.5−1.3±0.0+4.2±4.4
FH slice through the middle23%−4.2−1.1−0.6−5.9±2.3
FH down the line14%+1.7−0.4−0.9+0.4±4.3
FH slice crosscourt4%−4.3+0.2+0.3−3.9±1.6

Lean FH through the middle: +3.8±2.3 per 100 returns v the current mix (142 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AleksandarValue
BH through the middle45%+6.4−1.1−0.9+4.4±2.7
BH crosscourt26%+8.8±0.0−2.9+6.0±3.5
BH down the line16%+4.2+0.7+1.9+6.8±4.5
BH slice crosscourt5%+0.5−0.2+0.4+0.8±2.6
BH slice through the middle5%−4.2−1.3−1.7−7.2±2.2

Lean BH down the line: +2.8±4.1 per 100 returns v the current mix (198 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AleksandarValue
BH through the middle40%−2.9±0.0+0.1−2.7±2.5
BH crosscourt20%+1.0−1.4−1.3−1.7±3.2
FH through the middle17%−2.9+2.0+0.2−0.6±2.4
FH inside-out9%+1.0−0.2−0.3+0.4±3.4
FH inside-in7%+0.6+1.0+1.9+3.4±3.9

Lean FH through the middle: +0.6±2.3 per 100 returns v the current mix (149 returns charted, inside the 90% margin)

Aleksandar Vukic returning

1st serve to the forehand

ReturnNowTourOwnv LucianoValue
FH through the middle52%+4.3−0.5+1.7+5.5±3.1
FH crosscourt22%+5.5+2.7+2.3+10.4±4.2
FH down the line21%+1.7−2.5+1.2+0.4±4.3
FH slice through the middle5%−4.2−0.7−1.3−6.2±1.9

Lean FH crosscourt: +5.5±3.7 per 100 returns v the current mix (126 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LucianoValue
BH through the middle46%+6.4+0.1+0.7+7.3±2.8
BH crosscourt26%+8.8−2.5−1.8+4.5±3.6
BH down the line13%+4.2−4.2−2.7−2.7±4.2
BH slice through the middle9%−4.2−1.5−1.1−6.8±2.3
BH slice down the line4%−8.4−1.8−1.5−11.7±2.7

Lean BH through the middle: +4.3±1.9 per 100 returns v the current mix (224 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv LucianoValue
BH through the middle44%−2.9±0.0+0.8−2.1±2.5
BH crosscourt29%+1.0−1.5−1.0−1.5±3.2
BH down the line10%−0.2−1.1−0.8−2.1±4.4
FH through the middle7%−2.9−0.5+1.5−1.9±2.1
FH inside-out6%+1.0+0.5−2.0−0.6±3.1

Lean BH crosscourt: +0.2±2.6 per 100 returns v the current mix (104 returns charted, inside the 90% margin)

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.

Luciano Darderi

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+11.8±5.7+6.2+5.7
FH to their backhand · rally+4.2±4.1−0.1+4.3
BH to the middle · rally+3.2±3.0+1.1+2.0
FH to their forehand · rally+3.1±4.3+1.5+1.6
FH to their forehand · return+2.9±6.9+0.7+2.2
BH to their backhand · return +1+1.5±5.3−1.6+3.1

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−5.2±3.8−1.7−3.5
BH to the middle · return−2.1±3.4−1.0−1.0
BH to their backhand · return−1.9±4.9+1.9−3.8
BH to their forehand · rally−1.6±6.2−2.3+0.7
FH to the middle · rally−1.4±3.4−3.7+2.4

Aleksandar Vukic

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+1.7±3.4+0.3+1.4
FH to their forehand · rally+1.5±4.3+0.9+0.6
BH to their backhand · return +1+1.2±5.2−0.8+1.9
FH to the middle · return+0.8±3.9−2.0+2.8
BH to their forehand · rally+0.5±5.9−1.7+2.2
FH to their backhand · return +1+0.3±6.1−1.5+1.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−4.3±4.7−2.7−1.6
FH to their backhand · serve +1−1.7±5.0−4.2+2.5
FH to their forehand · serve +1−1.3±5.5−4.1+2.7
BH to the middle · return−1.3±3.4−1.7+0.4
BH to their backhand · rally−1.2±3.7−1.9+0.6

Against Aleksandar Vukic-like opponents

Luciano Darderi vMatchesServe pts wonReturn pts won
All charted opponents–63.1%32.6%

Similar by tactical fingerprint: Stefanos Tsitsipas, Flavio Cobolli, Andrey Rublev, Thiago Seyboth Wild, Zizou Bergs, Marin Cilic, Juan Pablo Varillas, J J Wolf, Kyle Edmund, Philipp Kohlschreiber. When two players have rarely met, their records against these lookalikes fill the gap.