RallyIQ

ATP · Right-handed · 31 charted matches · 2018–2026

Laslo Djere

Archetype: Ad-court T server · Two-fisted driver

Against an average opponent

Serve points won 64.3% ±2.6 raw 61.9% · tour 63.4% · 2,789 points
Return points won 36.7% ±2.6 raw 34.1% · tour 36.6% · 2,650 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 ±0.08 better than 64% of ATP · raw +0.03
Shot selection −0.48 ±0.14 better than 12% of ATP · raw −0.47
Execution −0.84 ±0.42 better than 31% of ATP · raw −0.84
Tactical adaptability ±0.00 first serves toward what's working, set to set · 31 matches
Adaptation speed +0.09 same, every two to three service games · per 100 first serves
Long-rally execution −0.56 ±0.48 shot 9 on v own earlier rally shots · 2,299 shots · better than 10% of ATP
Points left on the table 2.32 per 100 shots vs best direction · lower than 82% 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 14,681 shots.

Shot expected value

The share of points Laslo Djere 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 · 901 shots

OptionUsedWin %Tour
BH crosscourt 41% 42.5%±4.1 47.6%
BH through the middle 20% 44.0%±5.8 43.7%
BH down the line 16% 47.7%±6.5 46.4%
BH slice crosscourt 8% 43.4%±8.5 42.5%
BH slice through the middle 6% 32.4%±9.1 35.1%
FH inside-out 5% 56.6%±10.0 51.8%
BH slice down the line 3% 27.9%±10.7 37.1%
FH inside-in 1% 54.3%±14.3 54.7%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 810 shots

OptionUsedWin %Tour
FH down the line 23% 51.4%±5.8 51.5%
FH crosscourt 22% 44.7%±5.8 52.7%
BH through the middle 16% 44.6%±6.7 46.8%
BH crosscourt 15% 46.7%±6.9 49.1%
FH through the middle 14% 47.2%±7.2 47.0%
BH down the line 7% 42.0%±9.5 48.3%
BH slice through the middle 2% 38.3%±12.8 44.8%
BH slice crosscourt 1% 45.0%±14.5 47.0%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 660 shots

OptionUsedWin %Tour
BH crosscourt 37% 46.2%±5.1 48.0%
BH through the middle 21% 40.2%±6.5 43.8%
BH slice crosscourt 14% 40.0%±7.6 42.1%
BH down the line 14% 41.2%±7.7 46.5%
BH slice through the middle 8% 29.4%±8.7 35.1%
BH slice down the line 3% 32.9%±12.2 35.8%
FH inside-out 3% 44.9%±13.1 52.6%

Long rally, 9+: drive to your middle

position worth 51% to the average player · 578 shots

OptionUsedWin %Tour
FH down the line 24% 49.0%±6.5 52.0%
FH crosscourt 21% 48.6%±7.0 52.7%
BH crosscourt 16% 46.0%±7.6 49.6%
BH through the middle 15% 35.8%±7.6 46.8%
FH through the middle 12% 40.5%±8.5 47.4%
BH down the line 8% 42.5%±9.9 49.5%
BH slice through the middle 2% 29.5%±13.5 45.7%

Serve under pressure

Pressure predictability index +9 How much less varied Laslo Djere's first-serve direction gets on break points. Positive means easier to read. Based on 278 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 48% 38% ▼ 72% / 73%
Body 8% 11% 61% / 63%
T 43% 52% ▲ 74% / 75%

1,381 normal · 64 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 50% 53% 71% / 73%
Body 9% 3% 65% / 63%
T 41% 43% 70% / 72%

1,125 normal · 214 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% 62.9%±3.0 n=693 61% ▲
Body8% 59.8%±6.6 n=120 0% ▼
T44% 61.5%±3.1 n=632 39% ▼

Consistent with an optimal mix (p = 0.67).
Optimal mix: +0.3 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide50% 62.4%±3.0 n=676 64% ▲
Body8% 63.7%±6.7 n=110 0% ▼
T41% 60.1%±3.3 n=553 36% ▼

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

Exploitability 0.25 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: +0.4±3.1 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. (1,176 repeats, 1,546 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 73 35% −1.9±7.7
1stAd courtT 298 23% −5.0±3.8
1stAd courtWide 409 26% −0.8±3.5
1stDeuce courtBody 79 32% −4.6±7.4
1stDeuce courtT 350 27% +1.9±3.7
1stDeuce courtWide 428 25% −2.0±3.3
2ndAd courtBody 154 50% +0.5±6.1
2ndAd courtT 64 57% +7.9±8.4
2ndAd courtWide 255 45% −3.3±4.8
2ndDeuce courtBody 184 47% −2.0±5.6
2ndDeuce courtT 214 43% −6.3±5.2
2ndDeuce courtWide 137 49% +1.3±6.4

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → FH crosscourt used 2.2% · won 64% · −1.6±8.7 vs own baseline
  2. Wide serve (ad court) → FH down the line used 3.1% · won 64% · −2.5±7.8 vs own baseline
  3. T serve (ad court) → FH crosscourt used 2.1% · won 57% · −8.7±9.0 vs own baseline
  4. T serve (deuce court) → FH crosscourt used 3.4% · won 59% · −7.1±7.6 vs own baseline
  5. Wide serve (deuce court) → FH down the line used 3.6% · won 59% · −7.0±7.4 vs own baseline

Return

  1. vs T serve (deuce court) → BH through the middle, deep used 2.9% · won 45% · +9.0±8.9 vs own baseline
  2. vs wide serve (ad court) → BH crosscourt, deep used 2.4% · won 46% · +9.7±9.5 vs own baseline
  3. vs wide serve (ad court) → BH through the middle, deep used 2.0% · won 46% · +10.0±10.0 vs own baseline
  4. vs T serve (ad court) → FH through the middle, mid used 2.3% · won 44% · +8.2±9.6 vs own baseline
  5. vs wide serve (deuce court) → FH through the middle, mid used 2.8% · won 43% · +7.0±9.0 vs own baseline

Rally, consecutive own shots

  1. FH down the line → FH down the line used 2.1% · won 54% · +9.5±8.0 vs own baseline
  2. FH down the line → FH crosscourt used 1.8% · won 53% · +8.9±8.4 vs own baseline
  3. FH crosscourt → FH crosscourt used 3.5% · won 49% · +5.5±6.5 vs own baseline
  4. BH crosscourt → FH down the line used 2.4% · won 51% · +6.6±7.5 vs own baseline
  5. BH down the line → FH down the line used 1.9% · won 49% · +5.2±8.3 vs own baseline

Discovered sequences

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

  1. FH down the line → BH slice through the middle → FH crosscourt used 0.3% · won 63% · +17.8±11.4 vs own baseline · +19.7 vs tour on the same sequence
  2. BH crosscourt → BH through the middle → FH down the line used 0.7% · won 55% · +9.8±9.0 vs own baseline · +8.3 vs tour on the same sequence Disrupted by Aljaz Bedene (3/7), Nikoloz Basilashvili (3/6)
  3. FH down the line → BH slice crosscourt → FH inside-in used 0.3% · won 60% · +14.5±11.5 vs own baseline · +15.3 vs tour on the same sequence Disrupted by Dominic Thiem (3/6), Richard Gasquet (5/6)
  4. FH down the line → BH slice through the middle → FH down the line used 0.4% · won 57% · +11.8±11.2 vs own baseline · +9.1 vs tour on the same sequence
  5. Wide serve → BH through the middle return, mid → FH down the line used 0.3% · won 58% · +12.1±11.4 vs own baseline · +11.9 vs tour on the same sequence Disrupted by Dominic Thiem (8/10)
  6. FH down the line → BH crosscourt → FH inside-out used 0.3% · won 56% · +10.6±11.9 vs own baseline · +15.8 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 · return+1.2207
BH to the middle · serve +1+0.8183
BH to their forehand · serve +1+0.7165
Body 2nd serve · deuce court+0.7169
FH to their forehand · return +1+0.5215

Most exposed to

BH slice to their backhand · rally−1.2328
T 2nd serve · deuce court−1.1214
FH to their backhand · return +1−0.8157
BH to the middle · rally−0.8670
Wide 2nd serve · ad court−0.5255

Best-equipped opponents

Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Rafael Nadal +1.23, Miomir Kecmanovic +1.16, Pedro Martinez +0.98, Casper Ruud +0.90, Roberto Bautista Agut +0.89

Favourable matchups

Miomir Kecmanovic −0.09, Pedro Martinez −0.19, Fabian Marozsan −0.20, Roberto Carballes Baena −0.28, Alexander Shevchenko −0.33

Active players who are best at the shot in the top weakness: Daniel Evans, Lorenzo Musetti, Andy Murray, Jaume Munar, Pablo Carreno Busta

Tactical fingerprint

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

FH down the line35%
Deep returns32%
Wide serves · deuce48%
Unforced errors / shot11.3%
Avg rally length4.3
T serves · ad41%
BH down the line22%
1st serve in62%
Wide serves · ad50%
Chipped returns16%
Drop shots / shot1.5%
Backhand slice21%
Run-around forehands18%
Through the middle24%
Point-ending shots22.9%
Forehand share52%
T serves · deuce44%
Serve & volley2%
Points at net6%

Plays most like

  1. Karen Khachanov 2015–2026 plan v
  2. Fabio Fognini 2012–2025 plan v
  3. Alexander Shevchenko 2023–2026 plan v
  4. Kei Nishikori 2011–2025 plan v
  5. Hubert Hurkacz 2018–2026 plan v
  6. Gregoire Barrere 2016–2024 plan v
  7. Roman Safiullin 2017–2025 plan v
  8. Tommy Paul 2016–2026 plan v

Closest from another era

  1. Magnus Norman 2000–2001
  2. Ivan Ljubicic 2003–2011
  3. David Nalbandian 2002–2012

Charted matches