RallyIQ

Game plan

Carlos Alcaraz v Luca Nardi

Every number combines what Carlos Alcaraz 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

Carlos Alcaraz wins, best of 3 98%90%: 90%–100% · best of 5: 99%
Serve points won 70.2% / 54.1% Carlos / Luca · tour 63.4%
Strengths only, no similarity priors 97%serve 69.7% / 54.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Carlos Alcaraz's record against Luca Nardi's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.5 on serve, +0.9 on return vs expectation (4840 points); head-to-head: +1.7 on serve, −1.1 on return vs expectation (270 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

CareerCarlosLuca
Direction choice+0.08 ±0.03
better than 77%
+0.01 ±0.12
better than 59%
Shot selection+0.20 ±0.07
better than 73%
−0.20 ±0.39
better than 30%
Execution+0.54 ±0.21
better than 85%
−1.30 ±1.09
better than 16%
Points left on the table2.43 ±0.05
lower than 70%
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.

Carlos Alcaraz serving

Deuce court

1st serveNowCarlos winsv LucaMatchupOptimal
Wide46%73%78%78.8%±6.459% ▲
Body18%67%65%68.6%±9.24% ▼
T37%77%76%78.0%±6.737%

Optimal v Luca Nardi: +0.8±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarlos winsv LucaMatchupOptimal
Wide49%72%77%75.9%±7.350%
Body16%66%72%73.9%±9.93% ▼
T34%72%77%77.7%±7.547% ▲

Optimal v Luca Nardi: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.5 per 100 first serves in before the returner adjusts.

Luca Nardi serving

Deuce court

1st serveNowLuca winsv CarlosMatchupOptimal
Wide46%69%66%62.6%±7.846%
Body16%63%61%61.3%±10.329% ▲
T38%71%68%62.9%±8.725% ▼

Optimal v Carlos Alcaraz: +0.2±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLuca winsv CarlosMatchupOptimal
Wide49%73%67%67.6%±7.562% ▲
Body14%54%58%49.4%±11.50% ▼
T37%69%65%62.1%±8.638%

Optimal v Carlos Alcaraz: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.5 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.

Carlos Alcaraz returning

1st serve to the forehand

ReturnNowTourOwnv LucaValue
FH through the middle49%+4.3+1.2−1.0+4.5±2.2
FH crosscourt24%+5.5+1.3−2.0+4.9±3.4
FH down the line14%+1.7+1.2−2.3+0.6±3.6
FH slice through the middle8%−4.2+0.2±0.0−4.0±1.1
FH slice down the line2%−4.3+0.8±0.0−3.5±2.1

Lean FH crosscourt: +1.9±2.8 per 100 returns v the current mix (4205 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv LucaValue
BH through the middle40%+6.4+1.0+1.2+8.6±2.1
BH crosscourt34%+8.8+1.5−0.6+9.8±2.7
BH slice through the middle10%−4.2−2.3+0.8−5.7±2.0
BH down the line7%+4.2−0.5+0.7+4.5±3.5
BH slice crosscourt6%+0.5−1.3+0.1−0.6±2.2

Lean BH crosscourt: +3.6±2.0 per 100 returns v the current mix (4723 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LucaValue
FH through the middle42%−3.5−1.0+1.4−3.1±2.3
FH crosscourt36%−0.2−0.2−2.1−2.6±3.5
FH down the line17%−1.8−1.0−1.4−4.2±3.8
FH slice through the middle2%−12.7−0.8±0.0−13.4±1.6
FH slice down the line1%−9.4−1.6±0.0−11.0±1.7

Lean FH crosscourt: +0.7±2.5 per 100 returns v the current mix (1132 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LucaValue
BH crosscourt45%+1.0+0.1+1.7+2.8±2.5
BH through the middle27%−2.9−2.1−0.3−5.2±2.0
BH down the line9%−0.2+1.4−1.0+0.2±4.1
FH through the middle7%−2.9±0.0+1.4−1.5±2.2
FH inside-in5%+0.6−1.5−2.1−3.0±4.0

Lean BH crosscourt: +3.4±1.6 per 100 returns v the current mix (2787 returns charted)

Luca Nardi returning

1st serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle37%+4.3−1.1+0.5+3.7±2.3
FH slice through the middle24%−4.2−3.0−1.5−8.7±1.9
FH down the line18%+1.7−1.8+1.0+0.9±3.3
FH crosscourt15%+5.5−3.8+0.8+2.5±3.0
FH slice down the line6%−4.3−2.0+0.9−5.3±2.5

Lean FH through the middle: +4.2±1.7 per 100 returns v the current mix (109 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarlosValue
BH crosscourt42%+8.8−3.8+0.7+5.7±2.7
BH through the middle36%+6.4+0.5+0.4+7.3±2.1
BH slice crosscourt10%+0.5−0.5−0.4−0.3±2.3
BH slice down the line6%−8.4−0.6−1.8−10.8±2.8
BH slice through the middle6%−4.2−0.7−2.8−7.7±1.5

Lean BH through the middle: +3.3±1.8 per 100 returns v the current mix (107 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CarlosValue
BH crosscourt59%+1.0−1.0−0.2−0.2±2.4
BH through the middle41%−2.9±0.0−1.2−4.0±1.8

Lean BH crosscourt: +1.5±1.3 per 100 returns v the current mix (61 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.

Carlos Alcaraz

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+5.7±3.2+2.2+3.5
FH to their forehand · return +1+3.6±3.3+1.3+2.3
FH to their backhand · serve +1+3.2±2.9+1.7+1.5
BH to their backhand · return+1.9±2.4+1.0+0.9
BH to the middle · return+1.8±1.9+1.0+0.8
BH to their backhand · serve +1+1.7±2.6+0.9+0.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−2.5±3.5+0.4−2.9
FH to the middle · rally−1.1±1.9−0.6−0.5
BH to the middle · rally+0.2±1.7±0.0+0.2
BH to their backhand · rally+0.2±1.9+0.5−0.3
FH to their backhand · rally+0.9±2.4+1.6−0.7

Luca Nardi

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+0.4±1.7+0.8−0.4
FH to the middle · rally+0.2±1.9+0.7−0.5
FH to their backhand · serve +1−0.2±2.9+1.3−1.5
FH to the middle · return−0.5±2.2−1.6+1.1
BH to the middle · return−0.8±1.9−0.9+0.1
BH to their backhand · serve +1−0.9±2.5−0.3−0.6

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−5.4±3.1−3.2−2.2
FH to their backhand · rally−3.5±2.6−2.0−1.5
BH to their backhand · return−3.3±2.4−3.8+0.5
FH to their forehand · rally−3.0±2.5−0.8−2.2
BH to their backhand · rally−2.8±1.8−2.6−0.1

Against Luca Nardi-like opponents

Carlos Alcaraz vMatchesServe pts wonReturn pts won
All charted opponents–66.5%41.2%
Players most similar to Luca Nardi26 64.0%38.7%
Luca Nardi (charted head-to-head)2 71.4%44.4%

Similar by tactical fingerprint: Jannik Sinner, 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.

Charted head-to-head