RallyIQ

ATP · Right-handed · 39 charted matches · 2008–2019

Philipp Kohlschreiber

Archetype: Avoids the wide serve · Ad-court slider

Against an average opponent

Serve points won 65.8% ±2.5 raw 63.5% · tour 63.4% · 3,139 points
Return points won 37.0% ±2.6 raw 35.1% · tour 36.6% · 3,097 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 ±0.06 better than 75% of ATP · raw +0.07
Shot selection −0.21 ±0.11 better than 29% of ATP · raw −0.21
Execution −0.24 ±0.45 better than 56% of ATP · raw −0.24
Tactical adaptability −0.07 first serves toward what's working, set to set · 39 matches
Adaptation speed +0.03 same, every two to three service games · per 100 first serves
Points left on the table 2.49 per 100 shots vs best direction · lower than 62% 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 15,620 shots.

Shot expected value

The share of points Philipp Kohlschreiber 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 · 1,104 shots

OptionUsedWin %Tour
BH crosscourt 36% 44.8%±4.0 47.6%
BH slice crosscourt 16% 35.7%±5.7 42.5%
BH through the middle 14% 44.4%±6.2 43.7%
FH inside-out 10% 54.8%±7.1 51.8%
BH down the line 8% 48.0%±7.9 46.4%
FH inside-in 6% 50.5%±9.1 54.7%
BH slice through the middle 5% 32.4%±9.1 35.1%
FH through the middle 2% 45.5%±12.4 45.2%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 748 shots

OptionUsedWin %Tour
FH crosscourt 29% 57.3%±5.3 52.7%
FH down the line 28% 56.5%±5.4 51.5%
FH through the middle 15% 48.0%±7.2 47.0%
BH through the middle 9% 42.2%±8.5 46.8%
BH crosscourt 9% 50.9%±8.7 49.1%
BH down the line 3% 45.7%±12.5 48.3%
FH down the line + approach 3% 57.8%±12.8 70.5%
BH slice crosscourt 2% 42.8%±13.6 47.0%

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

position worth 44% to the average player · 643 shots

OptionUsedWin %Tour
FH crosscourt 39% 41.0%±4.9 46.6%
FH down the line 28% 53.2%±5.8 44.7%
FH through the middle 21% 38.7%±6.4 41.5%
FH slice through the middle 6% 19.8%±8.8 24.5%
FH slice down the line 2% 26.1%±12.2 25.6%
FH slice crosscourt 2% 29.6%±13.5 30.9%
FH down the line + approach 2% 79.5%±12.1 69.3%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 543 shots

OptionUsedWin %Tour
BH crosscourt 33% 43.6%±5.8 48.0%
BH slice crosscourt 19% 38.7%±7.2 42.1%
BH through the middle 16% 37.4%±7.6 43.8%
BH down the line 11% 46.6%±9.2 46.5%
FH inside-out 7% 47.5%±10.8 52.6%
FH inside-in 4% 58.8%±12.2 54.3%
BH slice through the middle 4% 35.8%±12.2 35.1%
BH slice down the line 2% 25.5%±12.7 35.8%

Serve under pressure

Pressure predictability index +10 How much less varied Philipp Kohlschreiber's first-serve direction gets on break points. Positive means easier to read. Based on 258 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 38% 26% ▼ 71% / 73%
Body 11% 10% 66% / 63%
T 51% 63% ▲ 73% / 75%

1,570 normal · 68 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 49% 64% ▲ 70% / 73%
Body 13% 12% 62% / 63%
T 37% 25% ▼ 69% / 72%

1,304 normal · 190 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
Wide37% 64.9%±3.1 n=613 50% ▲
Body11% 62.7%±5.5 n=182 0% ▼
T51% 65.3%±2.6 n=843 50% ▼

Consistent with an optimal mix (p = 0.72).
Optimal mix: +0.5 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide51% 62.5%±2.8 n=765 51%
Body13% 57.5%±5.4 n=198 0% ▼
T36% 63.4%±3.3 n=531 49% ▲

Consistent with an optimal mix (p = 0.22).
Optimal mix: +0.8 per 100 first serves.

Exploitability 0.61 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: −0.9±2.9 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. (1,247 repeats, 1,807 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 162 38% +1.1±5.8
1stAd courtT 291 23% −4.5±3.9
1stAd courtWide 431 26% −1.4±3.4
1stDeuce courtBody 150 43% +6.1±6.1
1stDeuce courtT 472 26% +1.3±3.2
1stDeuce courtWide 419 24% −3.1±3.3
2ndAd courtBody 242 48% −1.3±5.0
2ndAd courtT 70 42% −7.5±8.1
2ndAd courtWide 267 45% −3.7±4.7
2ndDeuce courtBody 171 55% +6.1±5.8
2ndDeuce courtT 287 47% −2.4±4.6
2ndDeuce courtWide 122 50% +2.2±6.7

Signature patterns

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

Serve → +1

  1. T serve (deuce court) → FH crosscourt used 3.5% · won 66% · −0.2±6.8 vs own baseline
  2. Wide serve (deuce court) → FH down the line used 2.8% · won 65% · −1.2±7.6 vs own baseline
  3. Wide serve (ad court) → FH crosscourt used 2.8% · won 61% · −5.6±7.7 vs own baseline
  4. Body serve (deuce court) → FH down the line used 2.2% · won 58% · −8.1±8.4 vs own baseline
  5. T serve (ad court) → FH crosscourt used 2.8% · won 56% · −9.8±7.8 vs own baseline

Return

  1. vs T serve (deuce court) → BH through the middle, deep used 2.4% · won 51% · +15.1±8.8 vs own baseline
  2. vs wide serve (deuce court) → FH crosscourt, mid used 2.2% · won 51% · +15.2±9.1 vs own baseline
  3. vs wide serve (ad court) → BH through the middle, deep used 2.2% · won 50% · +14.5±9.1 vs own baseline
  4. vs wide serve (ad court) → BH crosscourt, mid used 2.6% · won 45% · +8.9±8.6 vs own baseline
  5. vs wide serve (deuce court) → FH through the middle, mid used 2.1% · won 39% · +3.1±9.0 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → FH down the line used 4.4% · won 54% · +9.3±6.6 vs own baseline
  2. BH crosscourt → FH inside-out used 1.6% · won 55% · +10.5±9.5 vs own baseline
  3. FH down the line → FH crosscourt used 2.5% · won 52% · +7.1±8.3 vs own baseline
  4. FH down the line → BH down the line used 1.6% · won 53% · +8.5±9.6 vs own baseline
  5. BH crosscourt → FH crosscourt used 4.5% · won 50% · +4.7±6.6 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Philipp Kohlschreiber 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 down the line used 1.4% · won 56% · +8.0±7.0 vs own baseline · +10.6 vs tour on the same sequence Disrupted by Borna Coric (3/7), Gilles Simon (5/11)
  2. FH down the line → BH through the middle → FH crosscourt used 0.9% · won 55% · +7.3±8.6 vs own baseline · +3.0 vs tour on the same sequence Disrupted by Alex De Minaur (3/8), Robin Haase (6/12)
  3. FH crosscourt → FH through the middle → FH down the line used 0.7% · won 55% · +7.2±9.0 vs own baseline · +4.9 vs tour on the same sequence Disrupted by Alex De Minaur (4/7), Robin Haase (5/6)
  4. FH crosscourt → FH down the line → BH crosscourt used 0.7% · won 55% · +7.3±9.1 vs own baseline · +9.3 vs tour on the same sequence Disrupted by Joao Sousa (3/8), Borna Coric (4/7)
  5. FH inside-out → BH crosscourt → FH inside-in used 0.2% · won 59% · +11.7±12.5 vs own baseline · +20.3 vs tour on the same sequence
  6. Wide serve → BH through the middle return, deep → FH crosscourt used 0.3% · won 57% · +9.4±11.6 vs own baseline · +14.3 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 · return+2.7122
T 2nd serve · deuce court+2.6198
BH to the middle · serve +1+2.4161
Body 2nd serve · deuce court+2.1283
FH to their backhand · rally+1.5950

Most exposed to

BH to their backhand · return−1.9532
FH to their forehand · serve +1−1.8449
FH to their forehand · return +1−1.8273
Wide 1st serve · deuce court−1.8620
T 2nd serve · deuce court−1.4287

Active players who are best at the shot in the top weakness: Ugo Humbert, Miomir Kecmanovic, Casper Ruud, Zhizhen Zhang, Bernard Tomic

Tactical fingerprint

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

Run-around forehands28%
T serves · deuce51%
Forehand share58%
Drop shots / shot2.5%
Backhand slice27%
Deep returns30%
Point-ending shots25.0%
Wide serves · ad51%
FH down the line31%
Avg rally length4.0
1st serve in61%
Unforced errors / shot9.7%
Chipped returns13%
Serve & volley1%
T serves · ad36%
BH down the line17%
Through the middle22%
Points at net8%
Wide serves · deuce37%

Plays most like

  1. Dominic Thiem 2011–2024 plan v
  2. Stefanos Tsitsipas 2016–2026 plan v
  3. Juan Martin Del Potro 2007–2022 plan v
  4. Borna Coric 2015–2025 plan v
  5. Aleksandar Vukic 2019–2025 plan v
  6. David Goffin 2013–2025 plan v
  7. Joao Fonseca 2024–2026 plan v
  8. Kyle Edmund 2016–2023 plan v

Closest from another era

  1. Jim Courier 1989–1999
  2. Andre Agassi 1988–2006
  3. Marcelo Rios 1995–2001

Charted matches