ATP · Right-handed · 34 charted matches · 2002–2011
James Blake
Archetype: Ad-court T server · Two-fisted driver
Against an average opponent
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
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 15,460 shots.
Shot expected value
The share of points James Blake 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 · 899 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 37% | 46.3%±4.4 | 47.6% |
| BH through the middle | 19% | 46.4%±6.0 | 43.7% |
| BH down the line | 11% | 51.5%±7.7 | 46.4% |
| FH inside-out | 9% | 54.2%±8.0 | 51.8% |
| BH slice crosscourt | 9% | 56.2%±8.0 | 42.5% |
| BH slice through the middle | 5% | 30.5%±9.1 | 35.1% |
| FH inside-in | 5% | 54.0%±10.5 | 54.7% |
| BH slice down the line | 2% | 30.8%±12.5 | 37.1% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 520 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 52% | 48.2%±4.9 | 46.6% |
| FH down the line | 22% | 40.6%±7.0 | 44.7% |
| FH through the middle | 17% | 39.7%±7.7 | 41.5% |
| FH slice crosscourt | 4% | 28.7%±11.9 | 30.9% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 455 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 30% | 52.9%±6.5 | 52.7% |
| FH down the line | 26% | 47.4%±6.9 | 51.5% |
| FH through the middle | 12% | 47.9%±9.4 | 47.0% |
| BH crosscourt | 11% | 42.0%±9.6 | 49.1% |
| BH through the middle | 7% | 41.1%±11.2 | 46.8% |
| FH down the line + approach | 6% | 57.4%±11.6 | 70.5% |
| BH down the line | 3% | 47.6%±13.9 | 48.3% |
| FH crosscourt + approach | 3% | 76.4%±12.0 | 69.9% |
Return +1: drive to your backhand side
position worth 44% to the average player · 452 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 36% | 48.6%±6.1 | 46.9% |
| BH through the middle | 20% | 45.5%±7.8 | 43.0% |
| BH down the line | 13% | 39.5%±9.1 | 44.2% |
| BH slice crosscourt | 12% | 42.1%±9.4 | 40.9% |
| BH slice through the middle | 8% | 28.5%±9.7 | 32.6% |
| FH inside-out | 5% | 55.6%±12.6 | 51.7% |
| FH inside-in | 3% | 59.2%±13.7 | 53.6% |
Serve under pressure
Pressure predictability index +6 How much less varied James Blake's first-serve direction gets on break points. Positive means easier to read. Based on 318 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 39% | 38% | 68% / 73% |
| Body | 13% | 5% ▼ | 64% / 63% |
| T | 48% | 58% ▲ | 75% / 75% |
1,654 normal · 66 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 52% | 42% ▼ | 71% / 73% |
| Body | 8% | 6% | 58% / 63% |
| T | 39% | 51% ▲ | 70% / 72% |
1,326 normal · 252 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 serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 39% | 60.4%±3.1 n=664 | 38% |
| Body | 13% | 63.0%±5.1 n=216 | 0% ▼ |
| T | 49% | 61.2%±2.7 n=840 | 62% ▲ |
Consistent with an optimal mix (p = 0.74).
Optimal mix: +0.1 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 51% | 61.4%±2.8 n=799 | 64% ▲ |
| Body | 8% | 56.2%±6.5 n=127 | 0% ▼ |
| T | 41% | 59.0%±3.1 n=652 | 36% ▼ |
Consistent with an optimal mix (p = 0.32).
Optimal mix: +0.4 per 100 first serves.
Exploitability 0.26 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: ±0.0±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. (1,250 repeats, 1,980 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 98 | 41% | +3.7±7.1 | |
| 1st | Ad court | T | 355 | 28% | +0.4±3.8 | |
| 1st | Ad court | Wide | 530 | 31% | +4.0±3.2 | |
| 1st | Deuce court | Body | 145 | 42% | +5.6±6.1 | |
| 1st | Deuce court | T | 537 | 24% | −1.5±2.9 | |
| 1st | Deuce court | Wide | 407 | 24% | −2.9±3.4 | |
| 2nd | Ad court | Body | 118 | 51% | +1.8±6.8 | |
| 2nd | Ad court | T | 111 | 48% | −1.2±6.9 | |
| 2nd | Ad court | Wide | 336 | 47% | −1.8±4.3 | |
| 2nd | Deuce court | Body | 221 | 50% | +1.5±5.2 | |
| 2nd | Deuce court | T | 274 | 52% | +2.2±4.7 | |
| 2nd | Deuce court | Wide | 114 | 42% | −6.1±6.8 |
Signature patterns
Recurring sequences that win more than James Blake's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 2.5% · won 65% · −1.2±7.8 vs own baseline
- Wide serve (ad court) → BH crosscourt used 2.4% · won 60% · −6.2±8.2 vs own baseline
- Wide serve (ad court) → FH down the line used 2.1% · won 58% · −7.6±8.6 vs own baseline
- Wide serve (ad court) → FH inside-out used 3.1% · won 59% · −7.4±7.5 vs own baseline
- T serve (ad court) → FH down the line used 2.0% · won 56% · −10.4±8.8 vs own baseline
Return
- vs wide serve (ad court) → BH crosscourt, mid used 4.2% · won 51% · +14.5±7.0 vs own baseline
- vs wide serve (deuce court) → FH crosscourt, mid used 2.7% · won 47% · +10.3±8.3 vs own baseline
- vs body serve (deuce court) → BH through the middle, mid used 2.3% · won 44% · +7.1±8.7 vs own baseline
- vs T serve (deuce court) → BH through the middle, mid used 3.2% · won 42% · +5.0±7.7 vs own baseline
- vs wide serve (ad court) → BH through the middle, mid used 3.3% · won 41% · +4.3±7.6 vs own baseline
Rally, consecutive own shots
- BH crosscourt → FH crosscourt used 4.3% · won 52% · +7.0±7.3 vs own baseline
- FH crosscourt → FH crosscourt used 3.4% · won 51% · +6.4±8.1 vs own baseline
- FH crosscourt → BH crosscourt used 4.3% · won 50% · +4.9±7.4 vs own baseline
- BH crosscourt → BH down the line used 2.6% · won 51% · +5.5±8.8 vs own baseline
- FH inside-out → FH inside-out used 1.8% · won 51% · +6.4±9.9 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often James Blake wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH through the middle → FH crosscourt used 0.3% · won 60% · +11.5±11.8 vs own baseline · +18.1 vs tour on the same sequence
- Wide serve → BH through the middle return, mid → FH crosscourt used 0.3% · won 58% · +10.1±12.4 vs own baseline · +13.5 vs tour on the same sequence
- FH down the line → BH crosscourt → FH inside-in used 0.2% · won 59% · +10.5±12.7 vs own baseline · +19.9 vs tour on the same sequence Disrupted by Lleyton Hewitt (5/6)
- BH crosscourt → BH through the middle → FH crosscourt used 0.7% · won 54% · +6.1±9.6 vs own baseline · +4.3 vs tour on the same sequence Disrupted by David Nalbandian (4/8), Roger Federer (9/14)
- Body serve → BH through the middle return, mid → FH crosscourt used 0.4% · won 56% · +7.9±11.5 vs own baseline · +7.9 vs tour on the same sequence Disrupted by Novak Djokovic (5/6)
- Wide serve → BH crosscourt return, mid → BH crosscourt used 0.3% · won 55% · +7.0±11.7 vs own baseline · +13.1 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
| BH slice to their backhand · return | +3.9 | 214 |
| BH slice to the middle · return | +3.4 | 264 |
| FH to their forehand · return | +2.2 | 363 |
| BH to their forehand · rally | +1.9 | 274 |
| BH slice to their backhand · rally | +1.8 | 201 |
Most exposed to
| FH to their backhand · return | −1.9 | 364 |
| BH slice to their backhand · return | −1.8 | 275 |
| BH to their forehand · return +1 | −1.7 | 172 |
| T 1st serve · ad court | −1.5 | 562 |
| Body 2nd serve · deuce court | −1.2 | 221 |
Active players who are best at the shot in the top weakness: Miomir Kecmanovic, Andy Murray, Joao Fonseca, Bernard Tomic, Albert Ramos
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Run-around forehands | 34% | |
| Chipped returns | 22% | |
| T serves · deuce | 49% | |
| Point-ending shots | 26.6% | |
| Points at net | 14% | |
| Forehand share | 55% | |
| T serves · ad | 41% | |
| Unforced errors / shot | 10.3% | |
| Backhand slice | 22% | |
| Wide serves · ad | 51% | |
| Serve & volley | 7% | |
| FH down the line | 30% | |
| BH down the line | 19% | |
| Avg rally length | 3.6 | |
| Deep returns | 22% | |
| Drop shots / shot | 0.7% | |
| Wide serves · deuce | 39% | |
| 1st serve in | 57% | |
| Through the middle | 20% |
Plays most like
- Jo Wilfried Tsonga 2007–2022 plan v
- Kyle Edmund 2016–2023 plan v
- Stefanos Tsitsipas 2016–2026 plan v
- Philipp Kohlschreiber 2008–2019 plan v
- Lucas Pouille 2015–2024 plan v
- Roger Federer 1998–2021 plan v
- Sebastien Grosjean 1999–2005 plan v
- Alexei Popyrin 2019–2026 plan v
Closest from another era
- Alexei Popyrin 2019–2026
- Aleksandar Vukic 2019–2025
- Tallon Griekspoor 2018–2026
Charted matches
- James Blake v Roger Federer L Cincinnati Masters R16 · Hard · 18 Aug 2011
- Novak Djokovic v James Blake L US Open R32 · Hard · 4 Sep 2010
- James Blake v Jo Wilfried Tsonga L Paris Masters SF · Hard · 1 Nov 2008
- James Blake v Mardy Fish L US Open R32 · Hard · 30 Aug 2008
- Novak Djokovic v James Blake L Olympics BR · Hard · 16 Aug 2008
- James Blake v Fernando Gonzalez L Olympics SF · Hard · 15 Aug 2008
- Roger Federer v James Blake L Australian Open QF · Hard · 23 Jan 2008
- James Blake v Mikhail Youzhny W Davis Cup World Group F RR · Hard · 30 Nov 2007
- Tommy Haas v James Blake L US Open R16 · Hard · 4 Sep 2007
- Roger Federer v James Blake L Cincinnati Masters F · Hard · 19 Aug 2007
- James Blake v Nikolay Davydenko W Cincinnati Masters SF · Hard · 18 Aug 2007
- James Blake v Fernando Gonzalez L Australian Open R16 · Hard · 22 Jan 2007