RallyIQ

Game plan

Paolo Lorenzi v Marton Fucsovics

Every number combines what Paolo Lorenzi does well with what Marton Fucsovics allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Paolo Lorenzi wins, best of 3 22%90%: 7%–47% · best of 5: 16%
Serve points won 59.7% / 66.0% Paolo / Marton · tour 63.4%
Strengths only, no similarity priors 21%serve 59.7% / 66.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Paolo Lorenzi's record against Marton Fucsovics's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.6 on serve, +0.2 on return vs expectation (395 points)). 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

CareerPaoloMarton
Direction choice−0.14 ±0.21
better than 20%
−0.08 ±0.08
better than 36%
Shot selection−0.03 ±0.20
better than 49%
−0.45 ±0.12
better than 13%
Execution+0.01 ±0.79
better than 68%
−0.38 ±0.31
better than 49%
Points left on the table2.74 ±0.31
lower than 37%
2.57 ±0.09
lower than 53%

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.

Paolo Lorenzi serving

Deuce court

1st serveNowPaolo winsv MartonMatchupOptimal
Wide38%71%74%72.5%±7.351% ▲
Body9%58%56%51.1%±13.10% ▼
T53%80%72%77.3%±6.549% ▼

Optimal v Marton Fucsovics: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPaolo winsv MartonMatchupOptimal
Wide54%71%69%67.4%±7.452% ▼
Body12%70%56%63.0%±12.80% ▼
T35%75%73%76.0%±7.348% ▲

Optimal v Marton Fucsovics: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.1 per 100 first serves in before the returner adjusts.

Marton Fucsovics serving

Deuce court

1st serveNowMarton winsv PaoloMatchupOptimal
Wide39%69%76%72.1%±6.952% ▲
Body14%68%71%75.3%±9.31% ▼
T47%69%78%72.5%±7.947%

Optimal v Paolo Lorenzi: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarton winsv PaoloMatchupOptimal
Wide54%68%80%75.7%±7.354%
Body13%63%58%57.9%±12.30% ▼
T33%71%76%75.1%±7.046% ▲

Optimal v Paolo Lorenzi: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.5 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.

Paolo Lorenzi returning

1st serve to the forehand

ReturnNowTourOwnv MartonValue
FH through the middle43%+4.3+0.8+0.1+5.2±2.6
FH slice through the middle18%−4.2+1.0+1.1−2.2±2.3
FH crosscourt15%+5.5+1.0+2.3+8.8±4.1
FH down the line13%+1.7+1.9−3.3+0.3±4.2
FH slice down the line6%−4.3±0.0+0.7−3.7±2.8

Lean FH crosscourt: +6.0±3.7 per 100 returns v the current mix (190 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MartonValue
BH through the middle39%+6.4+1.4+0.3+8.1±2.4
BH crosscourt23%+8.8+0.4+0.4+9.6±3.1
BH slice through the middle20%−4.2−0.1−1.5−5.8±2.2
BH slice crosscourt10%+0.5+0.4−1.6−0.6±2.7
BH down the line4%+4.2−1.2−2.8+0.2±3.7

Lean BH crosscourt: +6.0±2.6 per 100 returns v the current mix (140 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MartonValue
BH crosscourt36%+1.0+4.8−1.6+4.2±2.8
BH through the middle36%−2.9+2.1+1.2+0.4±2.2
FH through the middle10%−2.9−0.1−0.2−3.2±1.9
FH inside-out8%+1.0+0.8−3.6−1.7±3.2
BH down the line5%−0.2±0.0+1.6+1.3±3.9

Lean BH crosscourt: +2.9±2.0 per 100 returns v the current mix (113 returns charted)

Marton Fucsovics returning

1st serve to the forehand

ReturnNowTourOwnv PaoloValue
FH through the middle50%+4.3+0.8+0.2+5.2±2.5
FH down the line18%+1.7−1.8+2.5+2.4±4.2
FH slice through the middle14%−4.2−0.8−1.2−6.2±2.1
FH crosscourt11%+5.5−2.1+2.3+5.7±4.3
FH slice down the line5%−4.3−2.4+0.7−6.0±2.8

Lean FH crosscourt: +3.4±4.1 per 100 returns v the current mix (913 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv PaoloValue
BH through the middle38%+6.4+2.0+1.0+9.4±2.4
BH crosscourt22%+8.8+1.8−0.6+10.0±3.3
BH slice through the middle19%−4.2−1.9+0.9−5.2±2.3
BH slice crosscourt8%+0.5−1.2+1.3+0.6±2.9
BH down the line7%+4.2+1.9−1.0+5.1±4.4

Lean BH crosscourt: +5.3±2.8 per 100 returns v the current mix (925 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PaoloValue
FH through the middle60%−3.5+0.5−0.5−3.4±2.8
FH down the line21%−1.8+2.2−1.8−1.4±4.6
FH crosscourt18%−0.2−0.7−2.5−3.4±4.3

Lean FH down the line: +1.6±4.1 per 100 returns v the current mix (197 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PaoloValue
BH through the middle43%−2.9+0.4+0.1−2.3±2.2
BH crosscourt35%+1.0+0.7−0.4+1.3±3.0
BH down the line11%−0.2−0.4−1.4−2.1±5.0
FH through the middle4%−2.9+0.9−0.5−2.4±2.4
FH inside-in3%+0.6−0.4−2.5−2.4±4.1

Lean BH crosscourt: +2.5±2.2 per 100 returns v the current mix (602 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.

Paolo Lorenzi

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+2.5±1.7+1.7+0.8
BH to their backhand · return+2.0±2.7+3.1−1.2
BH to the middle · return+1.8±2.0+1.0+0.7
BH to their backhand · serve +1+1.5±2.8+0.7+0.8
BH to the middle · serve +1+0.9±2.3+2.1−1.2
BH to the middle · rally+0.8±1.8+1.0−0.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−2.7±2.6+0.2−2.9
FH to the middle · serve +1−1.9±2.4−0.1−1.8
BH slice to their backhand · rally−1.8±2.2+0.5−2.4
BH to their forehand · rally−1.7±3.7+1.4−3.2
FH to the middle · return−1.1±2.2−0.9−0.3

Marton Fucsovics

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.7±3.0−0.3+3.9
FH to their forehand · rally+2.8±2.3+0.9+1.9
BH to the middle · return+2.2±1.9+1.8+0.4
BH to the middle · rally+1.9±1.8+0.8+1.1
FH to their forehand · serve +1+1.9±3.3+0.4+1.6
BH to the middle · return +1+1.7±2.3+1.3+0.5

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−8.4±3.7−4.4−4.0
FH to their forehand · return +1−2.0±3.8−2.3+0.3
FH to their backhand · return−1.0±3.7−1.6+0.6
FH to their backhand · rally−0.3±2.3−2.1+1.8
BH to their backhand · return +1+0.1±3.2−0.9+1.0

Against Marton Fucsovics-like opponents

Paolo Lorenzi vMatchesServe pts wonReturn pts won
All charted opponents–62.7%32.0%
Players most similar to Marton Fucsovics1 63.4%35.2%

Similar by tactical fingerprint: Lorenzo Musetti, Gael Monfils, Marcos Giron, Miomir Kecmanovic, Dominic Thiem, Radu Albot, Robin Haase, Philipp Kohlschreiber, Guillermo Garcia Lopez. When two players have rarely met, their records against these lookalikes fill the gap.