RallyIQ

ATP · Right-handed · 4 charted matches · 2016–2019

Nikola Milojevic

Against an average opponent

Serve points won 62.8% ±4.1 raw 59.8% · tour 63.4% · 328 points
Return points won 41.5% ±4.1 raw 48.4% · tour 36.6% · 380 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 −0.10 ±0.23 better than 31% of ATP · raw −0.08
Shot selection −0.14 ±0.18 better than 34% of ATP · raw −0.10
Execution −1.32 ±0.82 better than 15% of ATP · raw −0.63

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 2,070 shots.

Shot expected value

The share of points Nikola Milojevic 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 · 156 shots

OptionUsedWin %Tour
BH through the middle 28% 52.1%±10.3 46.8%
FH through the middle 22% 45.2%±11.1 47.0%
FH down the line 18% 48.5%±11.9 51.5%
FH crosscourt 14% 53.7%±12.7 52.7%
BH crosscourt 13% 47.1%±13.0 49.1%

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

position worth 46% to the average player · 121 shots

OptionUsedWin %Tour
BH crosscourt 53% 49.4%±9.0 47.6%
BH through the middle 32% 45.3%±10.7 43.7%
BH down the line 15% 58.6%±13.1 46.4%

Long rally, 9+: drive to your middle

position worth 51% to the average player · 115 shots

OptionUsedWin %Tour
FH through the middle 25% 60.2%±11.5 47.4%
FH down the line 21% 50.9%±12.4 52.0%
BH through the middle 20% 49.7%±12.5 46.8%
BH crosscourt 16% 57.7%±13.2 49.6%
FH crosscourt 12% 45.7%±14.1 52.7%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 90 shots

OptionUsedWin %Tour
BH crosscourt 52% 60.6%±9.8 48.0%
BH through the middle 41% 52.2%±10.9 43.8%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 49% 67% ▲ 74% / 73%
Body 10% 0% ▼ 58% / 63%
T 41% 33% ▼ 69% / 75%

164 normal · 6 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 51% 56% 67% / 73%
Body 9% 22% ▲ 53% / 63%
T 40% 22% ▼ 65% / 72%

131 normal · 27 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 won
Wide49% 69.2%±7.1 n=84
Body9% 58.2%±12.0 n=16
T41% 59.6%±8.1 n=70

Consistent with an optimal mix (p = 0.09).

Ad court

1st serveUsagePoints won
Wide52% 58.9%±7.6 n=82
Body11% 49.8%±11.9 n=18
T37% 54.8%±8.7 n=58

Consistent with an optimal mix (p = 0.28).

Repeating the previous direction to the same court: +5.4±10.0 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. (153 repeats, 167 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 15 34% −3.4±11.6
1stAd courtT 57 35% +6.9±8.4
1stAd courtWide 48 36% +8.9±8.9
1stDeuce courtBody 10 38% +0.8±12.6
1stDeuce courtT 59 40% +14.8±8.5
1stDeuce courtWide 58 38% +10.5±8.5
2ndAd courtBody 18 52% +2.3±11.9
2ndAd courtT 6 55% +5.7±13.6
2ndAd courtWide 39 49% +0.2±9.9
2ndDeuce courtBody 32 61% +11.8±10.2
2ndDeuce courtT 31 57% +7.5±10.4
2ndDeuce courtWide 7 50% +1.7±13.5

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → BH crosscourt used 19.1% · won 57% · −12.1±11.1 vs own baseline

Return

  1. vs T serve (deuce court) → BH through the middle, mid used 18.3% · won 63% · +6.6±10.1 vs own baseline
  2. vs wide serve (ad court) → BH crosscourt, mid used 12.2% · won 58% · +1.3±11.7 vs own baseline
  3. vs wide serve (ad court) → BH through the middle, mid used 14.6% · won 56% · −1.1±11.2 vs own baseline
  4. vs wide serve (deuce court) → FH through the middle, mid used 14.6% · won 50% · −6.7±11.2 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → BH through the middle used 6.4% · won 58% · +3.8±11.1 vs own baseline
  2. BH crosscourt → BH crosscourt used 7.5% · won 57% · +3.2±10.7 vs own baseline
  3. FH through the middle → BH through the middle used 5.6% · won 57% · +3.3±11.5 vs own baseline
  4. BH through the middle → FH through the middle used 6.7% · won 55% · +0.9±11.1 vs own baseline
  5. BH through the middle → BH crosscourt used 7.0% · won 52% · −1.9±11.0 vs own baseline

Discovered sequences

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

  1. BH crosscourt → BH through the middle → BH through the middle used 1.3% · won 57% · +5.6±12.9 vs own baseline · +18.5 vs tour on the same sequence Disrupted by Karim Mohamed Maamoun (8/13)
  2. BH through the middle → FH through the middle → FH through the middle used 1.3% · won 55% · +3.1±13.0 vs own baseline · +12.9 vs tour on the same sequence Disrupted by Karim Mohamed Maamoun (9/14)
  3. FH down the line → BH crosscourt → BH crosscourt used 1.6% · won 54% · +2.7±12.4 vs own baseline · +9.0 vs tour on the same sequence Disrupted by Karim Mohamed Maamoun (6/12), Gianluca Mager (4/6)
  4. BH crosscourt → BH crosscourt → BH crosscourt used 2.6% · won 53% · +1.7±10.9 vs own baseline · +6.5 vs tour on the same sequence Disrupted by Gianluca Mager (5/14), Karim Mohamed Maamoun (9/14)
  5. BH crosscourt → BH crosscourt → BH through the middle used 1.5% · won 51% · −0.7±12.6 vs own baseline · +4.7 vs tour on the same sequence Disrupted by Karim Mohamed Maamoun (7/15)
  6. FH down the line → BH crosscourt → BH through the middle used 1.4% · won 50% · −1.9±12.7 vs own baseline · +3.3 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 to their backhand · rally+0.2156
BH to the middle · return−0.8128
BH to the middle · rally−1.9146
FH to their backhand · rally−3.1142

Most exposed to

BH to their backhand · rally−1.3134
BH to the middle · rally+0.9146
FH to the middle · rally+2.1120
FH to their forehand · rally+3.5126

Active players who are best at the shot in the top weakness: Richard Gasquet, Nishesh Basavareddy, Arthur Cazaux, Jaume Munar, Daniel Evans

Charted matches