RallyIQ

Game plan

Thomaz Bellucci v Luca Nardi

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

Forecast

Thomaz Bellucci wins, best of 3 82%90%: 43%–98% · best of 5: 87%
Serve points won 65.5% / 58.3% Thomaz / Luca · tour 61.3%
Strengths only, no similarity priors 82%serve 65.5% / 58.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerThomazLuca
Direction choice+0.06 ±0.12
better than 72%
+0.01 ±0.12
better than 59%
Shot selection+0.51 ±0.24
better than 94%
−0.20 ±0.39
better than 30%
Execution−1.49 ±1.07
better than 10%
−1.30 ±1.09
better than 16%
Points left on the table2.49 ±0.14
lower than 62%
2.26 ±0.25
lower than 87%

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.

Thomaz Bellucci serving

Deuce court

1st serveNowThomaz winsv LucaMatchupOptimal
Wide53%73%78%78.9%±8.167% ▲
Body13%64%65%65.0%±13.50% ▼
T34%68%76%70.2%±10.933%

Optimal v Luca Nardi: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowThomaz winsv LucaMatchupOptimal
Wide54%66%77%71.0%±9.951% ▼
Body9%61%72%69.4%±14.60% ▼
T36%74%77%78.8%±9.549% ▲

Optimal v Luca Nardi: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.1 per 100 first serves in before the returner adjusts.

Luca Nardi serving

Deuce court

1st serveNowLuca winsv ThomazMatchupOptimal
Wide46%69%73%69.1%±9.559% ▲
Body16%63%64%63.9%±14.73% ▼
T38%71%76%72.1%±10.238%

Optimal v Thomaz Bellucci: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLuca winsv ThomazMatchupOptimal
Wide49%73%78%78.3%±8.662% ▲
Body14%54%58%48.8%±16.10% ▼
T37%69%70%67.0%±10.738%

Optimal v Thomaz Bellucci: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.2 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.

Thomaz Bellucci returning

1st serve to the forehand

ReturnNowTourOwnv LucaValue
FH through the middle47%+4.3−0.9−1.0+2.4±3.0
FH crosscourt24%+5.5+1.8−2.3+5.1±4.3
FH down the line17%+1.7−1.7−2.0−2.0±4.3
FH slice through the middle12%−4.2−2.7±0.0−6.9±1.3

Lean FH crosscourt: +3.9±3.7 per 100 returns v the current mix (109 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LucaValue
BH through the middle49%+6.4−2.7+1.2+4.9±2.8
BH crosscourt26%+8.8−1.6+0.7+7.9±3.3
BH down the line16%+4.2−0.8−0.6+2.8±4.6
BH slice through the middle4%−4.2−0.5+0.8−3.9±2.1
BH slice crosscourt3%+0.5−2.3±0.0−1.8±1.2

Lean BH crosscourt: +3.4±2.9 per 100 returns v the current mix (179 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LucaValue
FH crosscourt58%−0.2+0.1−1.4−1.5±3.8
FH through the middle43%−3.5−0.3+1.4−2.4±2.7

Lean FH crosscourt: +0.4±2.0 per 100 returns v the current mix (40 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LucaValue
BH through the middle50%−2.9+1.0−0.3−2.1±2.6
BH crosscourt24%+1.0−1.5−1.0−1.5±3.1
BH down the line15%−0.2−0.3+1.7+1.2±4.7
FH through the middle10%−2.9−0.1+1.4−1.5±2.1

Lean BH down the line: +2.6±4.3 per 100 returns v the current mix (111 returns charted, inside the 90% margin)

Luca Nardi returning

1st serve to the forehand

ReturnNowTourOwnv ThomazValue
FH through the middle37%+4.3−1.1−0.4+2.8±3.1
FH slice through the middle24%−4.2−3.0+0.4−6.7±2.1
FH down the line18%+1.7−1.8+0.8+0.7±4.2
FH crosscourt15%+5.5−3.8+1.5+3.2±4.1
FH slice down the line6%−4.3−2.0−0.2−6.4±2.1

Lean FH crosscourt: +3.6±3.8 per 100 returns v the current mix (109 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ThomazValue
BH crosscourt42%+8.8−3.8+0.6+5.6±3.5
BH through the middle36%+6.4+0.5+1.4+8.3±2.9
BH slice crosscourt10%+0.5−0.5+1.0+1.0±2.3
BH slice down the line6%−8.4−0.6−0.9−9.8±2.8
BH slice through the middle6%−4.2−0.7+0.3−4.7±2.1

Lean BH through the middle: +3.6±2.4 per 100 returns v the current mix (107 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ThomazValue
BH crosscourt59%+1.0−1.0−0.8−0.8±3.3
BH through the middle41%−2.9±0.0−1.4−4.2±2.5

Lean BH crosscourt: +1.4±1.7 per 100 returns v the current mix (61 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 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.

Thomaz Bellucci

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+4.3±4.4+2.9+1.5
FH to their forehand · serve +1+4.0±5.1+0.5+3.5
BH to the middle · rally+1.1±2.7+0.9+0.2
FH to their backhand · rally+0.9±4.1+0.6+0.2
FH to the middle · return+0.4±3.3−0.2+0.6
BH to the middle · return−1.7±2.9−2.5+0.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−8.3±3.9−8.9+0.5
FH to the middle · rally−3.6±3.1−3.1−0.5
FH to their forehand · rally−3.3±4.9−6.4+3.1
BH to their backhand · return−1.8±4.1−2.7+0.9
BH to the middle · return−1.7±2.9−2.5+0.8

Luca Nardi

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.4±4.6+1.3+2.1
BH to the middle · rally+1.2±2.6+0.8+0.4
FH to the middle · rally+0.3±3.1+0.7−0.4
BH to the middle · return−1.1±3.1−0.9−0.2
FH to their backhand · rally−1.5±3.5−2.0+0.5
FH to the middle · return−3.5±3.4−1.6−1.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−10.1±3.9−6.4−3.7
FH to their forehand · rally−5.9±4.9−1.5−4.4
FH to their forehand · serve +1−5.7±5.0−3.2−2.5
FH to the middle · return−3.5±3.4−1.6−1.9
FH to their backhand · rally−1.5±3.5−2.0+0.5

Against Luca Nardi-like opponents

Thomaz Bellucci vMatchesServe pts wonReturn pts won
All charted opponents–61.6%32.4%

Similar by tactical fingerprint: Jannik Sinner, Carlos Alcaraz, Alejandro Tabilo, Pablo Carreno Busta, Taylor Fritz, Alexander Shevchenko, Alexandre Muller, Gregoire Barrere, Ilya Ivashka, Tennys Sandgren. When two players have rarely met, their records against these lookalikes fill the gap.