RallyIQ

Game plan

Dominik Koepfer v Mattia Bellucci

Every number combines what Dominik Koepfer 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

Dominik Koepfer wins, best of 3 67%90%: 26%–94% · best of 5: 71%
Serve points won 65.2% / 61.6% Dominik / Mattia · tour 61.3%
Strengths only, no similarity priors 67%serve 65.2% / 61.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Dominik Koepfer'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

CareerDominikMattia
Direction choice−0.23 ±0.20
better than 10%
−0.19 ±0.10
better than 15%
Shot selection−0.11 ±0.20
better than 38%
−0.43 ±0.21
better than 15%
Execution−0.13 ±0.61
better than 61%
−0.76 ±0.76
better than 34%
Points left on the table3.06 ±0.19
lower than 17%
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.

Dominik Koepfer serving

Deuce court

1st serveNowDominik winsv MattiaMatchupOptimal
Wide30%72%74%73.9%±9.343% ▲
Body25%62%64%62.4%±13.012% ▼
T45%67%81%73.7%±9.345%

Optimal v Mattia Bellucci: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDominik winsv MattiaMatchupOptimal
Wide48%75%75%76.9%±8.161% ▲
Body22%66%60%62.5%±14.19% ▼
T30%75%76%78.9%±8.430%

Optimal v Mattia Bellucci: +0.8±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 DominikMatchupOptimal
Wide35%76%75%78.4%±7.748% ▲
Body11%64%65%65.9%±14.60% ▼
T55%72%81%79.0%±7.352% ▼

Optimal v Dominik Koepfer: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMattia winsv DominikMatchupOptimal
Wide61%69%71%66.9%±9.158% ▼
Body10%68%56%61.3%±15.80% ▼
T29%74%74%75.1%±8.842% ▲

Optimal v Dominik Koepfer: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.4 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.

Dominik Koepfer returning

1st serve to the forehand

ReturnNowTourOwnv MattiaValue
FH through the middle45%+4.3+0.7−0.2+4.7±3.1
FH crosscourt24%+5.5+2.1−0.3+7.4±4.2
FH slice through the middle14%−4.2+1.1−2.9−6.0±2.2
FH down the line11%+1.7−2.0+3.0+2.7±4.2
FH slice crosscourt6%−4.3+0.4−0.2−4.0±1.9

Lean FH crosscourt: +4.2±3.5 per 100 returns v the current mix (177 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MattiaValue
BH through the middle43%+6.4+1.5+0.8+8.6±2.7
BH slice through the middle20%−4.2−0.5−0.5−5.1±2.5
BH down the line14%+4.2−2.1+0.7+2.9±4.6
BH crosscourt11%+8.8+0.7−3.1+6.4±3.5
BH slice crosscourt7%+0.5−0.1−0.2+0.3±2.3

Lean BH through the middle: +5.2±1.8 per 100 returns v the current mix (256 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MattiaValue
FH through the middle39%−3.5−1.0−0.4−4.9±2.9
FH crosscourt21%−0.2+0.5−0.2+0.1±3.9
FH down the line18%−1.8−0.8+1.0−1.6±4.2
FH slice through the middle11%−12.7+0.7±0.0−12.0±1.2
FH slice crosscourt10%−12.5+0.7±0.0−11.8±1.5

Lean FH crosscourt: +4.8±3.3 per 100 returns v the current mix (71 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MattiaValue
BH through the middle61%−2.9+1.2+0.2−1.4±2.5
BH crosscourt25%+1.0−1.3−1.1−1.3±3.1
BH down the line9%−0.2+2.6±0.0+2.4±4.5
FH through the middle4%−2.9+0.6−0.4−2.7±2.0

Lean BH crosscourt: −0.3±2.8 per 100 returns v the current mix (137 returns charted, inside the 90% margin)

Mattia Bellucci returning

1st serve to the forehand

ReturnNowTourOwnv DominikValue
FH slice through the middle41%−4.2−1.7±0.0−5.9±2.3
FH through the middle23%+4.3−2.1+0.9+3.1±2.9
FH crosscourt14%+5.5+1.1−3.2+3.5±4.0
FH slice crosscourt12%−4.3+1.6−1.8−4.5±2.0
FH down the line9%+1.7−1.4−0.8−0.5±4.0

Lean FH crosscourt: +5.3±3.7 per 100 returns v the current mix (107 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DominikValue
BH through the middle41%+6.4−3.6+1.1+3.9±2.7
BH slice through the middle18%−4.2−1.0+1.8−3.5±2.5
BH crosscourt17%+8.8−1.0+0.5+8.3±3.5
BH down the line17%+4.2−0.8+3.1+6.6±4.5
BH slice down the line7%−8.4+1.2+2.3−4.9±3.0

Lean BH crosscourt: +5.1±3.3 per 100 returns v the current mix (161 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DominikValue
FH through the middle33%−3.5+0.5+0.6−2.4±2.8
FH slice through the middle25%−12.7−1.2±0.0−13.9±1.5
FH crosscourt22%−0.2±0.0+0.4+0.2±3.9
FH down the line13%−1.8−1.6+0.2−3.3±4.1
FH slice crosscourt8%−12.5+0.9±0.0−11.6±1.3

Lean FH through the middle: +3.1±2.1 per 100 returns v the current mix (64 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DominikValue
BH through the middle60%−2.9+0.3−2.2−4.8±2.5
BH crosscourt22%+1.0+0.2+0.4+1.6±3.2
BH down the line14%−0.2−1.3+0.2−1.4±4.4
FH through the middle5%−2.9+0.7+0.6−1.6±2.0

Lean BH crosscourt: +4.4±3.0 per 100 returns v the current mix (110 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Dominik Koepfer

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+5.7±4.9+3.0+2.7
FH to their backhand · rally+4.1±4.1+2.1+2.0
BH to their forehand · return+2.9±5.6+2.4+0.5
BH to their forehand · rally+2.0±4.8−0.3+2.3
BH to the middle · return+0.8±3.2+0.2+0.6
FH to their forehand · serve +1+0.7±5.5+3.4−2.7

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−8.6±4.4−6.4−2.3
FH to the middle · rally−3.8±2.9−1.6−2.2
BH to the middle · rally−2.7±2.7−3.0+0.3
FH to their backhand · serve +1−1.6±4.9+1.1−2.8
BH to their backhand · rally−1.6±3.7+0.1−1.7

Mattia Bellucci

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+4.7±6.2+1.0+3.7
FH to their backhand · return +1+2.3±4.6−0.4+2.7
FH to the middle · rally+1.3±2.9+0.7+0.6
BH to the middle · rally+0.8±3.0+1.0−0.2
FH to their forehand · rally−0.2±4.5−1.1+0.9
FH to their backhand · serve +1−0.4±4.9+0.2−0.7

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−7.6±3.3−5.8−1.8
FH to their forehand · serve +1−4.4±4.9−4.1−0.4
FH to the middle · return−2.1±3.3−1.6−0.5
BH to their forehand · rally−1.7±4.8−0.9−0.7
BH to their backhand · rally−1.3±3.6−0.9−0.5

Against Mattia Bellucci-like opponents

Dominik Koepfer vMatchesServe pts wonReturn pts won
All charted opponents–63.6%33.3%

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