RallyIQ

ATP · Right-handed · 13 charted matches · 2017–2026

Quentin Halys

Archetype: High-risk · Runs around the backhand

Against an average opponent

Serve points won 66.3% ±3.0 raw 65.7% · tour 63.4% · 971 points
Return points won 32.0% ±3.0 raw 26.2% · tour 36.6% · 933 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 +0.36 ±0.08 better than 99% of ATP · raw +0.36
Shot selection −0.28 ±0.29 better than 25% of ATP · raw −0.29
Execution +0.81 ±1.23 better than 92% of ATP · raw +0.68
Tactical adaptability +0.01 first serves toward what's working, set to set · 10 matches
Adaptation speed −0.03 same, every two to three service games · per 100 first serves
Points left on the table 2.16 per 100 shots vs best direction · lower than 96% 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 3,836 shots.

Shot expected value

The share of points Quentin Halys 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 · 204 shots

OptionUsedWin %Tour
BH crosscourt 39% 39.5%±8.0 47.6%
BH slice crosscourt 17% 37.3%±10.7 42.5%
BH down the line 16% 43.9%±11.2 46.4%
BH through the middle 14% 41.1%±11.7 43.7%

Return +1: drive to your backhand side

position worth 44% to the average player · 135 shots

OptionUsedWin %Tour
BH crosscourt 43% 41.5%±9.2 46.9%
BH slice crosscourt 20% 32.3%±11.2 40.9%
BH down the line 16% 40.1%±12.4 44.2%
BH through the middle 16% 40.5%±12.6 43.0%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 124 shots

OptionUsedWin %Tour
FH crosscourt 32% 49.2%±10.6 52.7%
FH down the line 18% 50.7%±12.7 51.5%
BH crosscourt 16% 47.1%±13.0 49.1%
FH through the middle 15% 47.2%±13.1 47.0%

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

position worth 44% to the average player · 101 shots

OptionUsedWin %Tour
FH crosscourt 38% 40.2%±10.6 46.6%
FH down the line 25% 37.7%±11.9 44.7%
FH through the middle 18% 35.0%±12.7 41.5%
FH slice through the middle 14% 17.4%±10.7 24.5%

Serve under pressure

Pressure predictability index +12 How much less varied Quentin Halys's first-serve direction gets on break points. Positive means easier to read. Based on 72 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 50% 67% ▲ 79% / 73%
Body 1% 0% 60% / 63%
T 48% 33% ▼ 79% / 75%

492 normal · 21 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 50% 47% 81% / 73%
Body 2% 0% 63% / 63%
T 48% 53% 76% / 72%

407 normal · 51 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
Wide51% 71.0%±4.4 n=262 64% ▲
Body1% 62.3%±13.1 n=7 0% ▼
T48% 63.1%±4.8 n=244 36% ▼

Off equilibrium (p = 0.020): serve wide more. Gap 3.8 points per 100 first serves.
Optimal mix: +0.6 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide50% 64.2%±4.9 n=228 49%
Body2% 64.4%±12.8 n=8 0% ▼
T48% 64.7%±5.0 n=222 51% ▲

Consistent with an optimal mix (p = 0.89).
Optimal mix: +0.1 per 100 first serves.

Exploitability 0.35 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: +3.4±5.8 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. (495 repeats, 450 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 17 43% +5.8±11.9
1stAd courtT 109 19% −9.0±5.5
1stAd courtWide 146 17% −10.1±4.7
1stDeuce courtBody 24 32% −5.2±10.4
1stDeuce courtT 137 15% −10.4±4.5
1stDeuce courtWide 147 18% −9.0±4.8
2ndAd courtBody 52 45% −4.5±9.0
2ndAd courtT 37 50% +1.1±10.0
2ndAd courtWide 81 42% −6.5±7.7
2ndDeuce courtBody 67 43% −6.0±8.3
2ndDeuce courtT 68 42% −8.0±8.2
2ndDeuce courtWide 46 47% −1.5±9.4

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → FH crosscourt used 3.4% · won 69% · −8.4±10.6 vs own baseline
  2. T serve (ad court) → FH crosscourt used 3.7% · won 67% · −11.0±10.6 vs own baseline
  3. Wide serve (ad court) → BH crosscourt used 4.4% · won 67% · −10.4±10.2 vs own baseline
  4. T serve (deuce court) → FH crosscourt used 3.5% · won 64% · −13.6±10.9 vs own baseline
  5. T serve (deuce court) → BH crosscourt used 3.7% · won 59% · −18.6±11.0 vs own baseline

Return

  1. vs wide serve (ad court) → BH crosscourt, mid used 11.5% · won 34% · +3.6±9.7 vs own baseline
  2. vs wide serve (ad court) → BH crosscourt, deep used 7.2% · won 34% · +3.8±11.1 vs own baseline
  3. vs wide serve (ad court) → BH crosscourt used 9.7% · won 23% · −7.4±9.3 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → BH down the line used 9.6% · won 43% · +1.7±11.4 vs own baseline
  2. BH crosscourt → FH crosscourt used 11.4% · won 42% · +0.4±10.9 vs own baseline
  3. BH crosscourt → BH crosscourt used 16.2% · won 38% · −3.5±9.5 vs own baseline

Discovered sequences

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

  1. BH crosscourt → BH crosscourt → BH down the line used 1.3% · won 46% · +1.2±12.1 vs own baseline · ±0.0 vs tour on the same sequence
  2. BH crosscourt → BH through the middle → FH crosscourt used 1.2% · won 44% · −1.2±12.3 vs own baseline · −11.0 vs tour on the same sequence
  3. FH crosscourt → FH crosscourt → FH crosscourt used 1.2% · won 39% · −5.7±12.1 vs own baseline · −17.2 vs tour on the same sequence Disrupted by Alex De Minaur (3/6)
  4. BH crosscourt → BH crosscourt → BH crosscourt used 2.3% · won 38% · −6.8±10.2 vs own baseline · −15.1 vs tour on the same sequence Disrupted by Alex De Minaur (3/8), Janko Tipsarevic (3/8)

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

Wide 1st serve · deuce court+4.5262
T 1st serve · deuce court+2.6244
FH to their backhand · serve +1+2.6131
T 1st serve · ad court+1.9222
Wide 2nd serve · ad court+0.4123

Most exposed to

FH to their backhand · serve +1−6.3134
FH to their backhand · rally−4.9126
FH to their forehand · rally−3.8123
FH to the middle · return−3.3126
Wide 1st serve · deuce court−2.5212

Active players who are best at the shot in the top weakness: Stefanos Tsitsipas, Brandon Nakashima, Rinky Hijikata, Thiago Seyboth Wild, Jannik Sinner

Tactical fingerprint

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

Unforced errors / shot14.8%
Point-ending shots33.9%
T serves · ad48%
Wide serves · deuce51%
Drop shots / shot3.0%
Deep returns34%
FH down the line35%
BH down the line23%
T serves · deuce48%
Backhand slice26%
Run-around forehands22%
Chipped returns16%
Wide serves · ad50%
Serve & volley4%
Points at net7%
Forehand share49%
1st serve in58%
Avg rally length3.1
Through the middle17%

Plays most like

  1. Sam Querrey 2010–2022 plan v
  2. Lucas Pouille 2015–2024 plan v
  3. Fabian Marozsan 2021–2026 plan v
  4. Sebastian Ofner 2022–2025 plan v
  5. Jo Wilfried Tsonga 2007–2022 plan v
  6. Marin Cilic 2009–2026 plan v
  7. Arthur Fils 2023–2026 plan v
  8. Sebastian Korda 2021–2026 plan v

Closest from another era

  1. Yevgeny Kafelnikov 1994–2002
  2. Thomas Enqvist 1993–2001
  3. James Blake 2002–2011

Charted matches