RallyIQ

ATP · Right-handed · 8 charted matches · 2015–2023

Malek Jaziri

Archetype: Rallies through the middle · Crosscourt backhand

Against an average opponent

Serve points won 60.8% ±3.5 raw 59.2% · tour 63.4% · 630 points
Return points won 35.6% ±3.4 raw 34.1% · tour 36.6% · 675 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 −0.02 ±0.18 better than 50% of ATP · raw −0.02
Shot selection −0.74 ±0.36 better than 5% of ATP · raw −0.72
Execution −1.89 ±1.25 better than 4% of ATP · raw −1.62
Points left on the table 2.61 per 100 shots vs best direction · lower than 48% 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 3,166 shots.

Shot expected value

The share of points Malek Jaziri 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 · 231 shots

OptionUsedWin %Tour
BH slice crosscourt 35% 45.5%±8.2 42.5%
BH crosscourt 19% 42.3%±10.1 47.6%
BH through the middle 15% 35.9%±10.6 43.7%
BH slice through the middle 10% 36.4%±11.9 35.1%
BH slice down the line 6% 38.3%±13.5 37.1%
FH inside-out 6% 43.9%±13.8 51.8%
FH inside-in 5% 54.6%±14.7 54.7%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 121 shots

OptionUsedWin %Tour
FH crosscourt 26% 49.1%±11.4 52.7%
FH through the middle 23% 46.7%±11.8 47.0%
FH down the line 22% 49.6%±12.0 51.5%
BH slice crosscourt 11% 43.6%±14.2 47.0%
BH slice through the middle 9% 48.2%±14.8 44.8%
BH through the middle 8% 37.9%±14.6 46.8%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 117 shots

OptionUsedWin %Tour
BH slice crosscourt 36% 41.0%±10.3 42.1%
BH crosscourt 18% 38.1%±12.5 48.0%
BH through the middle 16% 40.4%±12.9 43.8%
BH slice through the middle 13% 34.4%±13.2 35.1%

Return +1: drive to your backhand side

position worth 44% to the average player · 110 shots

OptionUsedWin %Tour
BH slice crosscourt 36% 40.3%±10.4 40.9%
BH crosscourt 23% 38.6%±11.9 46.9%
BH slice through the middle 22% 26.2%±10.9 32.6%

Serve under pressure

Pressure predictability index +16 How much less varied Malek Jaziri's first-serve direction gets on break points. Positive means easier to read. Based on 62 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 46% 45% 72% / 73%
Body 12% 0% ▼ 56% / 63%
T 43% 55% ▲ 70% / 75%

312 normal · 20 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 57% 64% 73% / 73%
Body 6% 5% 65% / 63%
T 37% 31% 69% / 72%

253 normal · 42 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
Wide45% 58.4%±6.0 n=151 59% ▲
Body11% 53.4%±10.0 n=37 0% ▼
T43% 57.5%±6.2 n=144 41% ▼

Consistent with an optimal mix (p = 0.64).
Optimal mix: +0.4 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide58% 65.3%±5.5 n=170 71% ▲
Body6% 58.2%±11.7 n=18 0% ▼
T36% 58.7%±6.9 n=107 29% ▼

Consistent with an optimal mix (p = 0.25).
Optimal mix: +0.4 per 100 first serves.

Exploitability 0.42 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: −2.3±5.9 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. (278 repeats, 333 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 36 33% −3.5±9.6
1stAd courtT 73 29% +0.5±7.3
1stAd courtWide 97 28% +1.2±6.6
1stDeuce courtBody 42 33% −3.4±9.1
1stDeuce courtT 118 23% −2.4±5.7
1stDeuce courtWide 75 23% −4.2±6.8
2ndAd courtBody 36 50% +0.3±10.1
2ndAd courtT 20 50% +0.3±11.6
2ndAd courtWide 58 48% −0.1±8.8
2ndDeuce courtBody 49 49% ±0.0±9.3
2ndDeuce courtT 43 52% +2.2±9.6
2ndDeuce courtWide 27 46% −1.7±10.9

Signature patterns

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

Serve → +1

  1. Body serve (deuce court) → FH down the line used 7.3% · won 66% · −5.1±10.5 vs own baseline

Return

  1. Not enough data

Rally, consecutive own shots

  1. FH down the line → BH slice crosscourt used 7.1% · won 42% · +5.5±11.3 vs own baseline
  2. BH slice crosscourt → BH slice crosscourt used 8.7% · won 39% · +1.8±10.6 vs own baseline

Discovered sequences

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

  1. BH slice crosscourt → BH crosscourt → BH slice crosscourt used 1.0% · won 58% · +13.4±12.9 vs own baseline · +35.5 vs tour on the same sequence Disrupted by Karim Mohamed Maamoun (5/6)
  2. FH down the line → BH crosscourt → BH slice crosscourt used 1.7% · won 49% · +4.9±11.5 vs own baseline · +9.8 vs tour on the same sequence Disrupted by Nick Kyrgios (3/6), Karim Mohamed Maamoun (8/13)
  3. FH through the middle → BH crosscourt → BH slice crosscourt used 1.0% · won 40% · −4.1±12.8 vs own baseline · −10.4 vs tour on the same sequence Disrupted by Karim Mohamed Maamoun (4/9)
  4. BH slice crosscourt → FH inside-out → BH slice crosscourt used 1.1% · won 39% · −5.1±12.6 vs own baseline · −10.2 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

BH slice to their backhand · rally+2.3157
FH to their backhand · rally−1.5148
Wide 1st serve · deuce court−1.5151
FH to their forehand · rally−1.8154
Wide 1st serve · ad court−1.9170

Most exposed to

T 1st serve · deuce court−3.4182
Wide 1st serve · ad court−0.3149
FH to their forehand · rally+0.1149
FH to their backhand · rally+0.1181
T 1st serve · ad court+0.3122

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

Tactical fingerprint

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

Backhand slice55%
Chipped returns32%
Wide serves · ad58%
Run-around forehands29%
Unforced errors / shot11.1%
Through the middle26%
FH down the line32%
Wide serves · deuce45%
Drop shots / shot1.9%
Point-ending shots23.9%
Deep returns27%
T serves · deuce43%
Serve & volley3%
Points at net9%
Avg rally length3.8
T serves · ad36%
Forehand share50%
BH down the line14%
1st serve in54%

Plays most like

  1. James Duckworth 2014–2026 plan v
  2. Grigor Dimitrov 2009–2026 plan v
  3. Robin Haase 2012–2024 plan v
  4. Marton Fucsovics 2018–2026 plan v
  5. Roger Federer 1998–2021 plan v
  6. Sebastien Grosjean 1999–2005 plan v
  7. Dominic Thiem 2011–2024 plan v
  8. Matteo Berrettini 2016–2026 plan v

Closest from another era

  1. Sebastien Grosjean 1999–2005
  2. Ivan Lendl 1979–1994
  3. Wayne Ferreira 1992–2003

Charted matches