RallyIQ

Game plan

Francisco Comesana v Aleksandar Kovacevic

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

Forecast

Francisco Comesana wins, best of 3 52%90%: 19%–83% · best of 5: 52%
Serve points won 67.7% / 67.4% Francisco / Aleksandar · tour 65.7%
Strengths only, no similarity priors 52%serve 67.7% / 67.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerFranciscoAleksandar
Direction choice−0.16 ±0.12
better than 19%
−0.12 ±0.10
better than 26%
Shot selection−0.38 ±0.41
better than 18%
−0.31 ±0.25
better than 22%
Execution−0.69 ±0.53
better than 37%
−0.76 ±0.71
better than 34%
Points left on the table2.92 ±0.15
lower than 24%
2.66 ±0.17
lower than 43%

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.

Francisco Comesana serving

Deuce court

1st serveNowFrancisco winsv AleksandarMatchupOptimal
Wide37%74%77%78.5%±7.750% ▲
Body6%60%63%60.0%±15.00% ▼
T57%75%80%80.2%±7.150% ▼

Optimal v Aleksandar Kovacevic: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFrancisco winsv AleksandarMatchupOptimal
Wide38%72%73%71.7%±10.034% ▼
Body10%58%64%58.6%±15.10% ▼
T52%69%74%71.7%±8.766% ▲

Optimal v Aleksandar Kovacevic: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.3 per 100 first serves in before the returner adjusts.

Aleksandar Kovacevic serving

Deuce court

1st serveNowAleksandar winsv FranciscoMatchupOptimal
Wide43%74%75%76.1%±8.436% ▼
Body5%67%67%71.0%±13.80% ▼
T51%79%76%79.9%±7.564% ▲

Optimal v Francisco Comesana: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAleksandar winsv FranciscoMatchupOptimal
Wide44%77%78%81.3%±7.857% ▲
Body5%66%64%67.4%±15.40% ▼
T51%75%74%76.9%±8.343% ▼

Optimal v Francisco Comesana: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.9 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.

Francisco Comesana returning

1st serve to the forehand

ReturnNowTourOwnv AleksandarValue
FH slice through the middle34%−4.2+0.6−1.1−4.7±2.3
FH through the middle24%+4.3+0.9−1.5+3.7±3.0
FH slice crosscourt15%−4.3−1.6±0.0−5.9±1.8
FH crosscourt10%+5.5−0.2−3.8+1.5±3.9
FH down the line10%+1.7+2.2−3.5+0.4±4.1

Lean FH through the middle: +5.3±2.5 per 100 returns v the current mix (116 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AleksandarValue
BH slice through the middle25%−4.2−0.2−1.0−5.4±2.3
BH through the middle24%+6.4+0.9−1.0+6.3±2.8
BH crosscourt22%+8.8−0.4−1.0+7.5±3.5
BH slice crosscourt17%+0.5−0.5−2.3−2.3±2.9
BH slice down the line6%−8.4−0.1−0.7−9.1±2.4

Lean BH crosscourt: +6.6±2.9 per 100 returns v the current mix (115 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AleksandarValue
BH through the middle50%−2.9+1.6+0.6−0.7±2.5
BH crosscourt30%+1.0+2.2−1.3+1.9±3.1
BH down the line20%−0.2+1.9+2.5+4.2±4.1

Lean BH crosscourt: +0.9±2.6 per 100 returns v the current mix (60 returns charted, inside the 90% margin)

Aleksandar Kovacevic returning

1st serve to the forehand

ReturnNowTourOwnv FranciscoValue
FH through the middle51%+4.3−2.1−1.2+1.0±3.0
FH down the line20%+1.7+2.6−1.5+2.7±4.3
FH crosscourt18%+5.5−0.7−1.5+3.3±4.3
FH slice through the middle8%−4.2−0.7−1.4−6.3±2.1
FH slice down the line3%−4.3−2.3−0.2−6.8±2.0

Lean FH crosscourt: +2.4±3.9 per 100 returns v the current mix (164 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv FranciscoValue
BH slice through the middle34%−4.2−1.9−1.2−7.3±2.3
BH through the middle19%+6.4+0.7−2.3+4.7±2.8
BH slice crosscourt16%+0.5−0.3−0.6−0.4±2.7
BH crosscourt13%+8.8+1.5+1.5+11.8±3.5
BH slice down the line13%−8.4+1.1−2.2−9.5±2.8

Lean BH crosscourt: +12.7±3.2 per 100 returns v the current mix (167 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv FranciscoValue
BH through the middle27%−2.9−0.6−0.1−3.6±2.6
FH through the middle27%−2.9−0.4+2.2−1.1±2.4
BH crosscourt14%+1.0+0.3−1.4−0.1±3.1
FH inside-out13%+1.0+0.2+1.3+2.4±3.0
BH down the line11%−0.2−4.1−1.1−5.4±4.0

Lean FH inside-out: +3.8±2.9 per 100 returns v the current mix (132 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.

Francisco Comesana

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+2.3±2.8+1.2+1.1
BH to their backhand · rally+1.7±3.4+1.0+0.8
FH to the middle · rally+1.5±3.1+1.8−0.3
FH to their backhand · rally+0.8±4.4−0.8+1.6
BH to the middle · return−0.8±3.4+0.3−1.2
FH to their forehand · rally−1.1±4.4−2.5+1.3

Avoid

ShotEdgeOwnTheirs
FH to the middle · serve +1−3.5±2.8−1.9−1.5
FH to their backhand · serve +1−3.3±4.7−2.5−0.8
FH to the middle · return−2.2±2.8−1.6−0.6
FH to their forehand · serve +1−1.9±4.9−1.8−0.1
BH to their backhand · return−1.4±4.7+0.6−2.0

Aleksandar Kovacevic

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+2.3±5.2+0.6+1.7
FH to the middle · rally+1.2±2.4−0.4+1.6
BH to their backhand · rally−0.2±3.6−1.6+1.4
BH to the middle · rally−0.6±2.4−0.1−0.5
BH to the middle · return−1.5±3.4−0.2−1.3
FH to their backhand · serve +1−2.0±4.8+0.2−2.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−8.0±4.2−2.4−5.6
FH to their forehand · rally−2.9±4.5−1.0−1.9
FH to the middle · return−2.3±3.5−1.5−0.8
FH to their backhand · serve +1−2.0±4.8+0.2−2.2
BH to the middle · return−1.5±3.4−0.2−1.3

Against Aleksandar Kovacevic-like opponents

Francisco Comesana vMatchesServe pts wonReturn pts won
All charted opponents–61.4%33.8%

Similar by tactical fingerprint: Stefanos Tsitsipas, Botic Van De Zandschulp, Zhizhen Zhang, Ethan Quinn, Felix Auger Aliassime, Zizou Bergs, Mackenzie Mcdonald, Lucas Pouille, Tim Van Rijthoven, Vasek Pospisil. When two players have rarely met, their records against these lookalikes fill the gap.