RallyIQ

ATP · Right-handed · 13 charted matches · 1997–2006

Jonas Bjorkman

Archetype: Serve-and-volleyer · Net rusher

Against an average opponent

Serve points won 63.7% ±3.0 raw 61.7% · tour 63.4% · 1,172 points
Return points won 36.3% ±3.1 raw 30.2% · tour 36.6% · 1,127 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 −0.13 ±0.17 better than 25% of ATP · raw −0.13
Shot selection +0.25 ±0.18 better than 76% of ATP · raw +0.25
Execution −1.30 ±0.45 better than 15% of ATP · raw −1.37
Tactical adaptability +0.07 first serves toward what's working, set to set · 13 matches
Adaptation speed ±0.00 same, every two to three service games · per 100 first serves
Points left on the table 3.56 per 100 shots vs best direction · lower than 7% 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 4,769 shots.

Shot expected value

The share of points Jonas Bjorkman 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 forehand side

position worth 44% to the average player · 136 shots

OptionUsedWin %Tour
FH crosscourt 38% 44.9%±9.6 46.6%
FH down the line 29% 44.0%±10.6 44.7%
FH through the middle 25% 35.7%±10.7 41.5%

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

position worth 46% to the average player · 128 shots

OptionUsedWin %Tour
BH crosscourt 41% 50.7%±9.7 47.6%
BH down the line 20% 41.9%±12.0 46.4%
BH through the middle 20% 41.7%±12.1 43.7%
BH slice crosscourt 11% 45.6%±14.1 42.5%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 96 shots

OptionUsedWin %Tour
FH down the line 24% 49.5%±12.5 51.5%
BH crosscourt 23% 49.6%±12.7 49.1%
FH crosscourt 16% 44.4%±13.8 52.7%
BH through the middle 10% 47.9%±15.0 46.8%

Serve +1: mid-depth return to your middle

position worth 54% to the average player · 94 shots

OptionUsedWin %Tour
FH crosscourt 21% 45.5%±13.0 56.0%
BH crosscourt 19% 52.3%±13.3 49.5%
FH through the middle 17% 48.5%±13.7 47.3%
BH through the middle 14% 40.8%±14.1 47.3%
FH down the line 12% 60.3%±14.5 53.4%
BH crosscourt + approach 12% 80.0%±11.8 74.0%

Serve under pressure

Pressure predictability index +1 How much less varied Jonas Bjorkman's first-serve direction gets on break points. Positive means easier to read. Based on 119 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 39% 31% ▼ 69% / 73%
Body 22% 19% 65% / 63%
T 39% 50% ▲ 72% / 75%

568 normal · 32 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 36% 45% ▲ 68% / 73%
Body 19% 18% 59% / 63%
T 45% 37% ▼ 67% / 72%

458 normal · 87 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
Wide39% 63.9%±4.9 n=233 52% ▲
Body22% 60.5%±6.3 n=131 9% ▼
T39% 62.8%±4.9 n=236 39%

Consistent with an optimal mix (p = 0.74).
Optimal mix: +0.6 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide37% 61.9%±5.2 n=204 50% ▲
Body19% 57.9%±7.1 n=101 5% ▼
T44% 61.1%±4.9 n=240 45%

Consistent with an optimal mix (p = 0.69).
Optimal mix: +0.7 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: +3.0±5.2 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. (324 repeats, 795 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 60 31% −5.8±8.0
1stAd courtT 158 19% −9.2±4.7
1stAd courtWide 117 21% −6.0±5.5
1stDeuce courtBody 55 35% −1.4±8.5
1stDeuce courtT 131 20% −4.9±5.2
1stDeuce courtWide 171 21% −5.7±4.8
2ndAd courtBody 89 42% −7.5±7.4
2ndAd courtT 47 45% −4.1±9.3
2ndAd courtWide 55 50% +1.6±8.9
2ndDeuce courtBody 90 54% +4.9±7.5
2ndDeuce courtT 54 48% −2.2±9.0
2ndDeuce courtWide 70 49% +1.3±8.2

Signature patterns

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

Serve → +1

  1. Body serve (deuce court) → BH volley crosscourt used 3.7% · won 61% · −8.7±10.6 vs own baseline
  2. Wide serve (ad court) → BH crosscourt used 4.2% · won 61% · −9.4±10.2 vs own baseline
  3. Body serve (deuce court) → BH crosscourt used 2.7% · won 58% · −12.1±11.5 vs own baseline

Return

  1. vs wide serve (ad court) → BH crosscourt, mid used 3.9% · won 43% · +10.6±11.2 vs own baseline
  2. vs T serve (ad court) → FH through the middle, mid used 3.4% · won 43% · +11.2±11.6 vs own baseline
  3. vs wide serve (deuce court) → FH crosscourt, mid used 4.3% · won 41% · +9.1±10.9 vs own baseline
  4. vs T serve (deuce court) → BH through the middle, short used 3.8% · won 38% · +5.7±11.1 vs own baseline
  5. vs wide serve (ad court) → BH crosscourt, short used 3.4% · won 37% · +5.2±11.3 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → BH down the line used 7.5% · won 45% · +5.5±11.3 vs own baseline
  2. FH crosscourt → FH down the line used 6.5% · won 40% · +0.2±11.5 vs own baseline
  3. FH down the line → BH crosscourt used 8.5% · won 39% · −0.4±10.7 vs own baseline
  4. BH crosscourt → BH crosscourt used 11.1% · won 39% · −0.6±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 Jonas Bjorkman 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 crosscourt used 1.0% · won 53% · +5.5±12.3 vs own baseline · +11.6 vs tour on the same sequence Disrupted by Pete Sampras (5/9)
  2. FH crosscourt → FH crosscourt → FH through the middle used 0.9% · won 50% · +2.2±12.7 vs own baseline · +8.3 vs tour on the same sequence
  3. FH crosscourt → FH crosscourt → FH down the line used 1.1% · won 43% · −4.3±12.0 vs own baseline · −8.7 vs tour on the same sequence Disrupted by Roger Federer (3/10)
  4. FH crosscourt → FH crosscourt → FH crosscourt used 0.9% · won 39% · −8.3±12.3 vs own baseline · −21.0 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 to their backhand · serve +1+1.2128
Body 1st serve · deuce court+0.7131
BH to their backhand · return+0.4150
Wide 1st serve · deuce court−0.5233
BH to their backhand · rally−0.6196

Most exposed to

T 1st serve · ad court−2.9235
BH to their backhand · rally−1.4128
T 1st serve · deuce court−1.1226
FH to their backhand · rally−1.0134
FH to the middle · return−0.4170

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.

Serve & volley41%
FH down the line39%
Points at net21%
T serves · ad44%
Point-ending shots27.8%
BH down the line24%
Unforced errors / shot10.0%
1st serve in61%
Backhand slice15%
Through the middle22%
Wide serves · deuce39%
Drop shots / shot0.6%
T serves · deuce39%
Chipped returns6%
Avg rally length3.2
Run-around forehands4%
Forehand share44%
Wide serves · ad37%
Deep returns11%

Plays most like

  1. Todd Martin 1992–2001 plan v
  2. Malivai Washington 1992–1996 plan v
  3. Radek Stepanek 2004–2014 plan v
  4. Mario Ancic 2002–2008 plan v
  5. Brad Gilbert 1987–1994 plan v
  6. Cedric Pioline 1992–2000 plan v
  7. Yevgeny Kafelnikov 1994–2002 plan v
  8. Boris Becker 1985–1999 plan v

Closest from another era

  1. Mischa Zverev 2013–2020
  2. Tomas Machac 2020–2026
  3. John Mcenroe 1978–1992

Charted matches