RallyIQ

Game plan

Luca Nardi v Jannik Sinner

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

Forecast

Luca Nardi wins, best of 3 2%90%: 0%–9% · best of 5: 0%
Serve points won 54.8% / 71.4% Luca / Jannik · tour 63.4%
Strengths only, no similarity priors 2%serve 55.0% / 71.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Luca Nardi's record against Jannik Sinner's tactical lookalikes and in their charted head-to-heads (head-to-head: −3.9 on serve, −10.5 on return vs expectation (153 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

CareerLucaJannik
Direction choice+0.01 ±0.12
better than 59%
−0.07 ±0.02
better than 40%
Shot selection−0.20 ±0.39
better than 30%
+0.50 ±0.04
better than 93%
Execution−1.30 ±1.09
better than 16%
+0.25 ±0.16
better than 78%
Points left on the table2.26 ±0.25
lower than 87%
2.38 ±0.04
lower than 75%

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.

Luca Nardi serving

Deuce court

1st serveNowLuca winsv JannikMatchupOptimal
Wide46%69%68%64.2%±7.746%
Body16%63%58%58.2%±10.43% ▼
T38%71%72%68.1%±8.151% ▲

Optimal v Jannik Sinner: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLuca winsv JannikMatchupOptimal
Wide49%73%69%69.7%±7.262% ▲
Body14%54%59%50.5%±11.30% ▼
T37%69%66%62.8%±8.538%

Optimal v Jannik Sinner: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.2 per 100 first serves in before the returner adjusts.

Jannik Sinner serving

Deuce court

1st serveNowJannik winsv LucaMatchupOptimal
Wide46%78%78%82.6%±5.559% ▲
Body11%67%65%68.8%±9.30% ▼
T43%78%76%79.8%±6.241% ▼

Optimal v Luca Nardi: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJannik winsv LucaMatchupOptimal
Wide58%76%77%80.1%±6.352% ▼
Body7%68%72%75.7%±9.60% ▼
T35%76%77%80.9%±6.748% ▲

Optimal v Luca Nardi: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.9 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.

Luca Nardi returning

1st serve to the forehand

ReturnNowTourOwnv JannikValue
FH through the middle37%+4.3−1.1−1.6+1.5±2.3
FH slice through the middle24%−4.2−3.0−1.1−8.3±1.8
FH down the line18%+1.7−1.8−4.4−4.5±3.3
FH crosscourt15%+5.5−3.8−1.6+0.1±3.0
FH slice down the line6%−4.3−2.0−5.4−11.7±2.3

Lean FH through the middle: +4.5±1.7 per 100 returns v the current mix (109 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JannikValue
BH crosscourt42%+8.8−3.8−1.2+3.8±2.7
BH through the middle36%+6.4+0.5−0.8+6.1±2.1
BH slice crosscourt10%+0.5−0.5−4.0−4.0±2.1
BH slice down the line6%−8.4−0.6−7.5−16.5±2.5
BH slice through the middle6%−4.2−0.7−3.3−8.2±1.4

Lean BH through the middle: +4.1±1.8 per 100 returns v the current mix (107 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JannikValue
BH crosscourt59%+1.0−1.0−2.0−2.0±2.4
BH through the middle41%−2.9±0.0−0.5−3.4±1.8

Lean BH crosscourt: +0.5±1.2 per 100 returns v the current mix (61 returns charted, inside the 90% margin)

Jannik Sinner returning

1st serve to the forehand

ReturnNowTourOwnv LucaValue
FH through the middle57%+4.3+1.3−1.0+4.6±2.2
FH crosscourt23%+5.5+0.2−2.0+3.7±3.3
FH down the line16%+1.7−0.1−2.3−0.7±3.5
FH slice through the middle2%−4.2−4.2±0.0−8.4±1.6
FH slice crosscourt1%−4.3−1.8±0.0−6.1±2.0

Lean FH through the middle: +1.4±1.3 per 100 returns v the current mix (5521 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LucaValue
BH through the middle44%+6.4+0.1+1.2+7.7±2.1
BH crosscourt29%+8.8−0.6−0.6+7.6±2.7
BH down the line10%+4.2+0.3+0.7+5.2±3.3
BH slice through the middle9%−4.2−6.9+0.8−10.3±2.0
BH slice crosscourt5%+0.5−7.2+0.1−6.5±2.2

Lean BH through the middle: +3.3±1.5 per 100 returns v the current mix (5508 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LucaValue
FH through the middle58%−3.5+0.5+1.4−1.6±2.2
FH crosscourt24%−0.2+0.5−2.1−1.8±3.6
FH down the line18%−1.8−1.3−1.4−4.5±3.6
BH through the middle0%+0.1+0.6−0.3+0.5±1.8

Lean FH through the middle: +0.6±1.4 per 100 returns v the current mix (1459 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LucaValue
BH through the middle45%−2.9+0.6−0.3−2.6±1.9
BH crosscourt43%+1.0−0.4+1.7+2.4±2.5
BH down the line7%−0.2+1.3−1.0+0.2±4.2
FH through the middle3%−2.9±0.0+1.4−1.5±2.3
FH inside-in1%+0.6+0.2−2.1−1.4±4.3

Lean BH crosscourt: +2.6±1.7 per 100 returns v the current mix (3318 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.

Luca Nardi

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+0.7±2.9+1.3−0.6
BH to the middle · rally+0.4±1.6+0.8−0.4
FH to the middle · rally+0.4±1.9+0.7−0.3
BH to their backhand · serve +1−0.4±2.5−0.3−0.1
FH to their forehand · rally−1.5±2.4−0.8−0.8
BH to the middle · return−1.7±1.9−0.9−0.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−5.9±2.3−3.8−2.1
FH to the middle · return−3.5±2.1−1.6−1.9
FH to their forehand · serve +1−3.5±3.0−3.2−0.3
BH to their backhand · rally−2.6±1.8−2.6±0.0
FH to their backhand · rally−2.5±2.6−2.0−0.5

Jannik Sinner

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.7±3.1+1.2+3.5
FH to their backhand · serve +1+3.2±2.9+1.8+1.5
FH to their forehand · return +1+3.1±3.3+0.8+2.3
FH to the middle · return+2.0±2.0+1.5+0.6
BH to the middle · return+1.5±1.8+0.7+0.8
BH to their backhand · serve +1+1.4±2.6+0.5+0.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−1.4±3.5+1.5−2.9
FH to their backhand · rally−0.8±2.4−0.1−0.7
FH to the middle · rally−0.6±1.9−0.1−0.5
BH to their backhand · rally+0.1±1.9+0.4−0.3
BH to their backhand · return+0.5±2.4−0.5+0.9

Against Jannik Sinner-like opponents

Luca Nardi vMatchesServe pts wonReturn pts won
All charted opponents–58.1%29.7%
Jannik Sinner (charted head-to-head)1 51.1%18.5%

Similar by tactical fingerprint: Cameron Norrie, Gael Monfils, Marcos Giron, Taylor Fritz, Arthur Cazaux, Cristian Garin, Ilya Ivashka, Andreas Seppi, Tennys Sandgren. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head