RallyIQ

Game plan

Federico Delbonis v Mattia Bellucci

Every number combines what Federico Delbonis does well with what Mattia Bellucci allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Federico Delbonis wins, best of 3 27%90%: 6%–64% · best of 5: 22%
Serve points won 63.6% / 68.6% Federico / Mattia · tour 65.7%
Strengths only, no similarity priors 27%serve 63.6% / 68.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerFedericoMattia
Direction choice−0.30 ±0.16
better than 5%
−0.19 ±0.10
better than 15%
Shot selection+0.03 ±0.22
better than 56%
−0.43 ±0.21
better than 15%
Execution−1.01 ±0.49
better than 25%
−0.76 ±0.76
better than 34%
Points left on the table2.96 ±0.24
lower than 22%
3.20 ±0.21
lower than 12%

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.

Federico Delbonis serving

Deuce court

1st serveNowFederico winsv MattiaMatchupOptimal
Wide32%69%74%70.8%±8.845% ▲
Body19%63%64%63.4%±12.86% ▼
T49%68%81%74.4%±8.749%

Optimal v Mattia Bellucci: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFederico winsv MattiaMatchupOptimal
Wide57%70%75%71.6%±8.658%
Body15%59%60%55.8%±14.72% ▼
T27%71%76%74.6%±8.840% ▲

Optimal v Mattia Bellucci: +0.6±1.0 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.

Mattia Bellucci serving

Deuce court

1st serveNowMattia winsv FedericoMatchupOptimal
Wide35%76%72%75.5%±7.932% ▼
Body11%64%63%64.4%±13.50% ▼
T55%72%79%76.7%±7.368% ▲

Optimal v Federico Delbonis: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMattia winsv FedericoMatchupOptimal
Wide61%69%78%74.4%±7.658% ▼
Body10%68%56%61.7%±14.00% ▼
T29%74%74%75.8%±8.342% ▲

Optimal v Federico Delbonis: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.2 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.

Federico Delbonis returning

1st serve to the forehand

ReturnNowTourOwnv MattiaValue
FH through the middle42%+4.3−1.0−0.2+3.0±3.1
FH crosscourt27%+5.5+1.5−0.3+6.7±4.2
FH down the line14%+1.7−0.5+3.0+4.2±4.4
FH slice through the middle11%−4.2−0.5−2.9−7.6±2.2
FH slice down the line3%−4.3−0.7−0.5−5.5±2.2

Lean FH crosscourt: +4.2±3.4 per 100 returns v the current mix (206 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MattiaValue
BH through the middle43%+6.4−2.8+0.8+4.4±2.6
BH slice through the middle18%−4.2−2.7−0.5−7.4±2.5
BH down the line17%+4.2−2.7+0.7+2.2±4.6
BH crosscourt13%+8.8−3.2−3.1+2.5±3.6
BH slice down the line7%−8.4−1.4+1.3−8.5±3.0

Lean BH through the middle: +3.7±1.8 per 100 returns v the current mix (363 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MattiaValue
FH through the middle52%−3.5+0.9−0.4−2.9±2.9
FH crosscourt32%−0.2+0.7−0.2+0.3±4.1
FH down the line9%−1.8−1.4+1.0−2.2±4.1
FH slice through the middle7%−12.7−1.0±0.0−13.7±1.1

Lean FH crosscourt: +2.9±3.2 per 100 returns v the current mix (100 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MattiaValue
BH through the middle51%−2.9+0.8+0.2−1.8±2.5
BH crosscourt17%+1.0−2.1−1.1−2.1±3.1
FH through the middle12%−2.9+1.1−0.4−2.1±2.3
BH down the line11%−0.2−1.1±0.0−1.3±4.7
FH inside-in6%+0.6+0.5−0.2+0.8±3.6

Lean BH down the line: +0.8±4.4 per 100 returns v the current mix (171 returns charted, inside the 90% margin)

Mattia Bellucci returning

1st serve to the forehand

ReturnNowTourOwnv FedericoValue
FH slice through the middle41%−4.2−1.7−0.9−6.8±2.3
FH through the middle23%+4.3−2.1−1.1+1.0±2.9
FH crosscourt14%+5.5+1.1−0.5+6.1±4.0
FH slice crosscourt12%−4.3+1.6−1.3−4.0±2.1
FH down the line9%+1.7−1.4+0.4+0.7±4.0

Lean FH crosscourt: +8.2±3.7 per 100 returns v the current mix (107 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FedericoValue
BH through the middle41%+6.4−3.6+2.2+4.9±2.5
BH slice through the middle18%−4.2−1.0+1.3−4.0±2.5
BH crosscourt17%+8.8−1.0+1.2+9.0±3.5
BH down the line17%+4.2−0.8−2.4+1.1±4.5
BH slice down the line7%−8.4+1.2+0.9−6.2±2.8

Lean BH crosscourt: +6.3±3.2 per 100 returns v the current mix (161 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv FedericoValue
FH through the middle33%−3.5+0.5−1.2−4.2±2.7
FH slice through the middle25%−12.7−1.2±0.0−13.9±1.5
FH crosscourt22%−0.2±0.0−1.7−1.9±3.5
FH down the line13%−1.8−1.6−0.2−3.7±4.1
FH slice crosscourt8%−12.5+0.9±0.0−11.6±1.3

Lean FH through the middle: +2.4±2.1 per 100 returns v the current mix (64 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv FedericoValue
BH through the middle60%−2.9+0.3+0.9−1.8±2.4
BH crosscourt22%+1.0+0.2−2.1−0.8±3.2
BH down the line14%−0.2−1.3−1.8−3.4±4.6
FH through the middle5%−2.9+0.7−1.2−3.4±2.0

Lean BH crosscourt: +1.0±3.0 per 100 returns v the current mix (110 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 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.

Federico Delbonis

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+3.8±4.0+1.1+2.7
FH to their backhand · serve +1+1.4±4.3+3.4−2.0
FH to their backhand · rally+0.7±3.6+0.1+0.6
FH to their backhand · return +1+0.2±3.8+1.1−0.9
BH to the middle · return−0.1±2.1−1.1+1.0
BH to the middle · rally−0.3±2.0−0.7+0.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−8.7±4.7−6.2−2.4
BH to their backhand · rally−4.5±2.7−2.8−1.7
FH to their forehand · rally−3.5±3.1−1.3−2.3
FH to the middle · rally−2.0±2.2+0.1−2.2
FH to the middle · return−1.9±3.2−0.9−0.9

Mattia Bellucci

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+2.0±1.8+1.9+0.1
BH to their forehand · serve +1+1.3±4.8+0.9+0.4
BH to the middle · return+1.3±2.8−2.8+4.1
FH to the middle · rally+0.5±2.2+0.7−0.2
FH to their backhand · rally+0.1±2.7−0.4+0.5
BH to the middle · return +1−0.3±2.4+0.2−0.5

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−5.8±3.3−1.6−4.2
BH to their backhand · rally−3.3±2.7−0.9−2.5
FH to their forehand · serve +1−3.0±4.7−4.1+1.1
FH to their forehand · rally−2.8±3.4−1.1−1.7
FH to their backhand · serve +1−1.9±3.4+0.9−2.7

Against Mattia Bellucci-like opponents

Federico Delbonis vMatchesServe pts wonReturn pts won
All charted opponents–60.8%32.5%

Similar by tactical fingerprint: Cameron Norrie, Gael Monfils, Thiago Monteiro, Yannick Hanfmann, Yoshihito Nishioka, Cristian Garin, Dominik Koepfer, Paolo Lorenzi, Gaston Gaudio. When two players have rarely met, their records against these lookalikes fill the gap.