RallyIQ

ATP · Right-handed · 17 charted matches · 2019–2025

Christopher Eubanks

Archetype: High-risk · Runs around the backhand

Against an average opponent

Serve points won 64.3% ±2.8 raw 62.3% · tour 63.4% · 1,500 points
Return points won 32.3% ±2.7 raw 27.2% · tour 36.6% · 1,425 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 −0.07 ±0.14 better than 40% of ATP · raw −0.07
Shot selection −0.33 ±0.35 better than 20% of ATP · raw −0.33
Execution −2.55 ±0.87 better than 0% of ATP · raw −2.56
Tactical adaptability +0.01 first serves toward what's working, set to set · 17 matches
Adaptation speed +0.01 same, every two to three service games · per 100 first serves
Points left on the table 3.10 per 100 shots vs best direction · lower than 16% 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 5,660 shots.

Shot expected value

The share of points Christopher Eubanks 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 middle

position worth 51% to the average player · 229 shots

OptionUsedWin %Tour
FH crosscourt 29% 43.7%±8.8 52.7%
FH through the middle 20% 40.0%±9.9 47.0%
FH down the line 20% 40.5%±10.0 51.5%
BH through the middle 7% 38.8%±13.2 46.8%
BH crosscourt 7% 52.3%±13.7 49.1%
FH crosscourt + approach 4% 66.6%±14.2 69.9%

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

position worth 46% to the average player · 219 shots

OptionUsedWin %Tour
BH crosscourt 29% 44.0%±9.0 47.6%
BH slice crosscourt 17% 37.1%±10.4 42.5%
BH through the middle 16% 33.5%±10.4 43.7%
BH slice through the middle 12% 28.3%±10.9 35.1%
FH inside-out 9% 48.4%±13.0 51.8%
FH inside-in 7% 58.1%±13.5 54.7%
BH down the line 5% 42.8%±14.6 46.4%

Return +1: drive to your backhand side

position worth 44% to the average player · 190 shots

OptionUsedWin %Tour
BH crosscourt 25% 39.4%±9.8 46.9%
BH through the middle 21% 29.8%±9.8 43.0%
BH slice through the middle 18% 23.2%±9.4 32.6%
BH slice crosscourt 17% 38.8%±11.1 40.9%
BH down the line 7% 37.8%±13.7 44.2%
FH inside-out 6% 43.0%±14.6 51.7%

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

position worth 44% to the average player · 130 shots

OptionUsedWin %Tour
FH crosscourt 38% 36.7%±9.5 46.6%
FH through the middle 29% 35.0%±10.3 41.5%
FH slice through the middle 15% 15.2%±9.4 24.5%
FH down the line 12% 31.3%±12.9 44.7%

Serve under pressure

Pressure predictability index +4 How much less varied Christopher Eubanks's first-serve direction gets on break points. Positive means easier to read. Based on 126 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 47% 49% 68% / 73%
Body 7% 3% 70% / 63%
T 45% 49% 66% / 75%

731 normal · 37 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 61% 65% 75% / 73%
Body 2% 3% 61% / 63%
T 37% 31% 74% / 72%

608 normal · 89 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
Wide47% 59.1%±4.1 n=364 60% ▲
Body7% 63.2%±8.7 n=54 7%
T46% 57.4%±4.2 n=350 33% ▼

Consistent with an optimal mix (p = 0.48).
Optimal mix: +0.2 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide61% 65.2%±3.7 n=427 51% ▼
Body2% 65.9%±11.4 n=17 0% ▼
T36% 67.7%±4.6 n=253 49% ▲

Consistent with an optimal mix (p = 0.47).
Optimal mix: +0.2 per 100 first serves.

Exploitability 0.20 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: −0.1±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. (627 repeats, 804 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 20 48% +11.2±11.6
1stAd courtT 190 20% −8.3±4.4
1stAd courtWide 218 19% −8.6±4.1
1stDeuce courtBody 46 39% +2.8±9.2
1stDeuce courtT 220 15% −10.5±3.7
1stDeuce courtWide 208 21% −6.5±4.3
2ndAd courtBody 70 42% −7.6±8.1
2ndAd courtT 54 41% −7.9±8.8
2ndAd courtWide 115 42% −5.9±6.8
2ndDeuce courtBody 92 49% −0.1±7.4
2ndDeuce courtT 126 42% −7.5±6.5
2ndDeuce courtWide 45 42% −6.2±9.4

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → FH crosscourt used 3.1% · won 67% · −1.9±9.5 vs own baseline
  2. T serve (ad court) → FH down the line used 2.4% · won 66% · −3.0±10.3 vs own baseline
  3. Wide serve (ad court) → FH inside-in used 2.3% · won 64% · −5.4±10.6 vs own baseline
  4. T serve (ad court) → FH crosscourt used 3.0% · won 62% · −7.7±10.0 vs own baseline
  5. Wide serve (ad court) → BH crosscourt used 2.3% · won 60% · −9.0±10.7 vs own baseline

Return

  1. vs T serve (deuce court) → BH slice through the middle, deep used 3.2% · won 37% · +8.6±11.3 vs own baseline
  2. vs wide serve (ad court) → BH slice crosscourt, deep used 4.0% · won 32% · +3.4±10.3 vs own baseline
  3. vs wide serve (ad court) → BH slice crosscourt, mid used 4.1% · won 31% · +2.8±10.2 vs own baseline
  4. vs wide serve (deuce court) → FH down the line used 3.3% · won 27% · −2.0±10.3 vs own baseline
  5. vs T serve (ad court) → FH down the line used 3.2% · won 23% · −5.4±9.9 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → FH crosscourt used 6.7% · won 37% · +3.9±10.8 vs own baseline
  2. BH crosscourt → FH crosscourt used 7.3% · won 34% · +0.8±10.4 vs own baseline
  3. FH crosscourt → FH down the line used 6.7% · won 31% · −1.7±10.5 vs own baseline
  4. FH through the middle → FH crosscourt used 7.0% · won 31% · −2.3±10.3 vs own baseline
  5. BH through the middle → FH crosscourt used 5.9% · won 29% · −3.8±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 Christopher Eubanks wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. FH crosscourt → FH down the line → BH crosscourt used 0.7% · won 42% · −0.4±12.5 vs own baseline · −7.7 vs tour on the same sequence Disrupted by Jordan Thompson (0/6)
  2. FH crosscourt → FH through the middle → FH down the line used 0.7% · won 39% · −3.3±12.7 vs own baseline · −19.7 vs tour on the same sequence
  3. BH crosscourt → BH through the middle → FH crosscourt used 0.9% · won 37% · −5.4±11.8 vs own baseline · −23.1 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

T 1st serve · ad court+2.3253
Wide 1st serve · ad court+1.6427
T 1st serve · deuce court+1.4350
Wide 1st serve · deuce court+0.6364
Wide 2nd serve · ad court+0.5163

Most exposed to

T 1st serve · ad court−2.7295
T 1st serve · deuce court−2.5363
Wide 1st serve · ad court−2.3338
FH to their forehand · serve +1−1.7137
BH to the middle · return−1.5265

Best-equipped opponents

Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Miomir Kecmanovic +1.25, Rafael Nadal +1.20, Jack Draper +1.18, Nishesh Basavareddy +1.17, Daniil Medvedev +1.00

Favourable matchups

Miomir Kecmanovic −1.31, Fabian Marozsan −1.32, Roberto Bautista Agut −1.45, Brandon Nakashima −1.60, Bernard Tomic −1.62

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.

Unforced errors / shot17.9%
Chipped returns46%
Point-ending shots38.1%
Run-around forehands41%
Forehand share63%
Wide serves · ad61%
1st serve in67%
Deep returns38%
Backhand slice33%
Wide serves · deuce47%
Points at net13%
Serve & volley12%
Through the middle25%
T serves · deuce46%
T serves · ad36%
BH down the line17%
Drop shots / shot0.9%
FH down the line27%
Avg rally length2.9

Plays most like

  1. Giovanni Mpetshi Perricard 2024–2026 plan v
  2. Tim Van Rijthoven 2021–2023 plan v
  3. Nicolas Jarry 2019–2025 plan v
  4. Denis Shapovalov 2016–2026 plan v
  5. Milos Raonic 2011–2024 plan v
  6. Vasek Pospisil 2013–2023 plan v
  7. Reilly Opelka 2019–2025 plan v
  8. Tallon Griekspoor 2018–2026 plan v

Closest from another era

  1. Fernando Gonzalez 2000–2010
  2. James Blake 2002–2011
  3. Mark Philippoussis 1995–2003

Charted matches