RallyIQ

ATP · Right-handed · 12 charted matches · 2022–2026

Luciano Darderi

Archetype: Rallies through the middle · Crosscourt backhand

Against an average opponent

Serve points won 64.6% ±3.2 raw 63.4% · tour 63.4% · 909 points
Return points won 35.5% ±3.3 raw 32.5% · tour 36.6% · 887 points

Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.

Value per 100 shots

Direction choice +0.03 ±0.12 better than 66% of ATP · raw +0.04
Shot selection −0.06 ±0.20 better than 46% of ATP · raw −0.05
Execution −0.01 ±0.84 better than 68% of ATP · raw +0.14
Tactical adaptability −0.08 first serves toward what's working, set to set · 11 matches
Adaptation speed +0.09 same, every two to three service games · per 100 first serves
Points left on the table 2.52 per 100 shots vs best direction · lower than 59% of ATP

Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 4,642 shots.

Shot expected value

The share of points Luciano Darderi goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.

Rally, shots 5–8: drive to your backhand side

position worth 46% to the average player · 335 shots

OptionUsedWin %Tour
BH crosscourt 28% 46.5%±7.7 47.6%
BH through the middle 27% 40.7%±7.7 43.7%
BH down the line 13% 54.4%±10.3 46.4%
FH inside-out 10% 52.5%±11.2 51.8%
BH slice crosscourt 8% 40.6%±11.7 42.5%
FH inside-in 6% 61.4%±12.8 54.7%
FH through the middle 3% 55.0%±14.7 45.2%
BH slice through the middle 3% 29.1%±13.4 35.1%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 226 shots

OptionUsedWin %Tour
BH crosscourt 33% 49.6%±8.5 48.0%
BH through the middle 28% 50.9%±9.0 43.8%
BH down the line 12% 52.8%±12.1 46.5%
FH inside-out 10% 58.4%±12.5 52.6%
FH inside-in 7% 56.7%±13.8 54.3%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 194 shots

OptionUsedWin %Tour
FH crosscourt 31% 53.8%±9.1 52.7%
FH down the line 21% 53.8%±10.6 51.5%
FH through the middle 19% 56.8%±10.8 47.0%
BH through the middle 11% 48.5%±12.7 46.8%
BH crosscourt 7% 48.0%±14.3 49.1%

Rally, shots 5–8: drive to your forehand side

position worth 44% to the average player · 175 shots

OptionUsedWin %Tour
FH crosscourt 50% 58.6%±7.8 46.6%
FH through the middle 19% 45.0%±11.1 41.5%
FH down the line 17% 57.0%±11.6 44.7%
FH slice through the middle 9% 19.2%±10.8 24.5%

Serve under pressure

Pressure predictability index +14 How much less varied Luciano Darderi's first-serve direction gets on break points. Positive means easier to read. Based on 77 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 47% 53% 67% / 73%
Body 5% 0% 66% / 63%
T 48% 47% 79% / 75%

457 normal · 19 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 60% 71% ▲ 74% / 73%
Body 4% 3% 61% / 63%
T 36% 26% ▼ 70% / 72%

373 normal · 58 break-point 1st serves

Is the serve mix in equilibrium?

Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.

Deuce court

1st serveUsagePoints wonOptimal
Wide48% 60.5%±5.0 n=227 39% ▼
Body5% 63.4%±11.0 n=22 0% ▼
T48% 63.2%±4.9 n=227 61% ▲

Consistent with an optimal mix (p = 0.45).
Optimal mix: +0.4 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide61% 65.7%±4.6 n=264 52% ▼
Body4% 58.0%±11.7 n=18 0% ▼
T35% 65.0%±5.9 n=149 48% ▲

Consistent with an optimal mix (p = 0.56).
Optimal mix: +0.2 per 100 first serves.

Exploitability 0.32 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.

Repeating the previous direction to the same court: −2.4±4.0 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (397 repeats, 486 switches.)

Return by serve direction

Return points won against each serve direction, compared with the tour average.

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 20 36% −0.8±11.2
1stAd courtT 115 25% −2.9±5.9
1stAd courtWide 136 27% ±0.0±5.7
1stDeuce courtBody 28 40% +3.0±10.6
1stDeuce courtT 171 23% −2.4±4.9
1stDeuce courtWide 111 19% −7.9±5.5
2ndAd courtBody 47 48% −1.6±9.4
2ndAd courtT 18 43% −6.0±11.8
2ndAd courtWide 81 53% +4.3±7.8
2ndDeuce courtBody 41 47% −1.5±9.7
2ndDeuce courtT 88 51% +1.1±7.6
2ndDeuce courtWide 31 42% −6.4±10.4

Signature patterns

Recurring sequences that win more than Luciano Darderi's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. Wide serve (deuce court) → FH crosscourt used 5.3% · won 72% · +0.5±9.2 vs own baseline
  2. Wide serve (ad court) → FH crosscourt used 5.5% · won 71% · −0.7±9.3 vs own baseline
  3. Wide serve (ad court) → FH inside-in used 3.9% · won 68% · −4.2±10.5 vs own baseline
  4. Wide serve (ad court) → FH inside-out used 3.9% · won 68% · −4.2±10.5 vs own baseline
  5. T serve (deuce court) → FH crosscourt used 4.4% · won 66% · −6.0±10.3 vs own baseline

Return

  1. vs wide serve (ad court) → BH crosscourt, mid used 8.7% · won 46% · +8.3±11.3 vs own baseline
  2. vs T serve (deuce court) → BH through the middle, short used 8.0% · won 44% · +6.1±11.5 vs own baseline
  3. vs T serve (deuce court) → BH through the middle, mid used 12.1% · won 38% · ±0.0±10.0 vs own baseline
  4. vs T serve (deuce court) → BH through the middle used 8.3% · won 29% · −8.2±10.6 vs own baseline

Rally, consecutive own shots

  1. BH down the line → FH crosscourt used 3.0% · won 66% · +10.8±11.0 vs own baseline
  2. FH crosscourt → FH crosscourt used 5.8% · won 61% · +6.4±9.4 vs own baseline
  3. FH through the middle → BH crosscourt used 3.1% · won 62% · +7.6±11.1 vs own baseline
  4. BH crosscourt → BH down the line used 3.7% · won 61% · +6.7±10.7 vs own baseline
  5. FH crosscourt → FH down the line used 3.8% · won 60% · +5.6±10.7 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Luciano Darderi wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. FH crosscourt → FH crosscourt → FH crosscourt used 1.0% · won 62% · +11.0±11.5 vs own baseline · +25.1 vs tour on the same sequence
  2. FH crosscourt → FH through the middle → FH down the line used 0.7% · won 58% · +7.0±12.7 vs own baseline · +15.7 vs tour on the same sequence
  3. BH through the middle → FH crosscourt → FH crosscourt used 1.1% · won 55% · +4.6±11.6 vs own baseline · +15.1 vs tour on the same sequence Disrupted by Jannik Sinner (2/6), Federico Coria (4/7)
  4. BH crosscourt → BH through the middle → FH crosscourt used 0.8% · won 54% · +3.0±12.4 vs own baseline · +4.8 vs tour on the same sequence
  5. FH crosscourt → FH down the line → BH through the middle used 1.1% · won 51% · +0.6±11.6 vs own baseline · +8.1 vs tour on the same sequence Disrupted by Hubert Hurkacz (3/7)
  6. FH crosscourt → FH crosscourt → FH through the middle used 0.8% · won 50% · −0.4±12.6 vs own baseline · +5.4 vs tour on the same sequence

Strengths and vulnerabilities

Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.

Hurts opponents most with

FH to their forehand · serve +1+4.3153
FH to their forehand · rally+1.8316
BH to the middle · rally+1.7200
FH to their backhand · rally+0.5293
FH to the middle · return+0.2147

Most exposed to

T 1st serve · ad court−3.1179
Wide 1st serve · ad court−2.8209
Wide 1st serve · deuce court−2.4161
T 1st serve · deuce court−2.0272
FH to the middle · return−1.7137

Active players who are best at the shot in the top weakness: Reilly Opelka, Milos Raonic, Nick Kyrgios, Nicolas Jarry, Giovanni Mpetshi Perricard

Tactical fingerprint

Each bar shows how far a style trait is from the ATP average, in standard deviations.

Run-around forehands38%
Wide serves · ad61%
Drop shots / shot3.0%
Forehand share58%
Deep returns32%
Wide serves · deuce48%
Through the middle27%
T serves · deuce48%
Avg rally length4.2
Backhand slice21%
BH down the line19%
Chipped returns11%
Serve & volley0%
Point-ending shots21.1%
T serves · ad35%
Points at net8%
Unforced errors / shot8.4%
1st serve in58%
FH down the line23%

Plays most like

  1. Marcos Giron 2018–2026 plan v
  2. Daniel Elahi Galan 2020–2025 plan v
  3. Juncheng Shang 2024–2026 plan v
  4. Stefanos Tsitsipas 2016–2026 plan v
  5. Casper Ruud 2017–2026 plan v
  6. Aleksandar Vukic 2019–2025 plan v
  7. Thiago Seyboth Wild 2019–2026 plan v
  8. Dominic Thiem 2011–2024 plan v

Closest from another era

  1. Carlos Moya 1997–2007
  2. Nicolas Massu 2000–2009
  3. James Blake 2002–2011

Charted matches