RallyIQ

ATP · Right-handed · 4 charted matches · 2022–2025

Dmitry Popko

Against an average opponent

Serve points won 63.8% ±3.9 raw 57.7% · tour 63.4% · 336 points
Return points won 38.4% ±4.1 raw 41.9% · tour 36.6% · 310 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 +0.08 ±0.10 better than 78% of ATP · raw +0.09
Shot selection −0.13 ±0.46 better than 34% of ATP · raw −0.12
Execution −0.22 ±0.39 better than 57% of ATP · raw +0.01

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 2,149 shots.

Shot expected value

The share of points Dmitry Popko 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 · 179 shots

OptionUsedWin %Tour
BH crosscourt 62% 50.8%±7.2 47.6%
BH through the middle 21% 43.4%±10.8 43.7%
FH inside-out 13% 48.6%±12.4 51.8%

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

position worth 44% to the average player · 118 shots

OptionUsedWin %Tour
FH crosscourt 42% 46.2%±9.8 46.6%
FH through the middle 25% 52.6%±11.6 41.5%
FH down the line 25% 53.9%±11.6 44.7%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 116 shots

OptionUsedWin %Tour
BH crosscourt 63% 60.9%±8.3 48.0%
BH through the middle 31% 53.2%±11.0 43.8%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 111 shots

OptionUsedWin %Tour
FH crosscourt 30% 53.9%±11.3 52.7%
FH down the line 23% 57.2%±12.0 51.5%
FH through the middle 18% 51.0%±13.0 47.0%
BH crosscourt 18% 49.6%±13.0 49.1%
BH through the middle 11% 41.8%±14.3 46.8%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 41% 54% ▲ 69% / 73%
Body 13% 0% ▼ 67% / 63%
T 47% 46% 71% / 75%

165 normal · 13 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 59% 53% 69% / 73%
Body 14% 11% 53% / 63%
T 27% 37% ▲ 65% / 72%

139 normal · 19 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
Wide42% 59.7%±7.9 n=74
Body12% 57.6%±11.4 n=21
T47% 60.3%±7.6 n=83

Consistent with an optimal mix (p = 0.89).

Ad court

1st serveUsagePoints won
Wide58% 60.3%±7.3 n=92
Body13% 46.1%±11.5 n=21
T28% 54.8%±9.5 n=45

Off equilibrium (p = 0.044): serve wide more. Gap 3.5 points per 100 first serves.

Repeating the previous direction to the same court: +1.0±10.6 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. (133 repeats, 195 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 13 40% +2.8±12.3
1stAd courtT 50 36% +7.5±8.8
1stAd courtWide 37 32% +4.4±9.3
1stDeuce courtBody 23 34% −2.7±10.7
1stDeuce courtT 44 22% −2.7±8.0
1stDeuce courtWide 30 35% +8.1±10.1
2ndAd courtBody 15 48% −0.9±12.3
2ndAd courtT 4 49% +0.1±14.1
2ndAd courtWide 29 55% +6.7±10.7
2ndDeuce courtBody 16 52% +2.5±12.1
2ndDeuce courtT 42 53% +3.0±9.7
2ndDeuce courtWide 7 47% −1.0±13.5

Signature patterns

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

Serve → +1

  1. T serve (deuce court) → FH crosscourt used 19.7% · won 62% · −6.2±10.7 vs own baseline

Return

  1. Not enough data

Rally, consecutive own shots

  1. BH crosscourt → BH crosscourt used 11.0% · won 65% · +8.2±8.3 vs own baseline
  2. FH down the line → BH crosscourt used 5.9% · won 62% · +4.8±10.3 vs own baseline
  3. BH crosscourt → BH through the middle used 5.5% · won 59% · +1.8±10.6 vs own baseline
  4. BH through the middle → BH crosscourt used 3.9% · won 58% · +1.2±11.6 vs own baseline
  5. FH through the middle → FH crosscourt used 3.9% · won 58% · +1.2±11.6 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Dmitry Popko 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 3.9% · won 64% · +10.2±9.0 vs own baseline · +20.2 vs tour on the same sequence Disrupted by Juan Carlos Prado Angelo (9/16), Sebastian Baez (16/22)
  2. FH down the line → BH crosscourt → BH crosscourt used 1.7% · won 59% · +5.7±11.7 vs own baseline · +16.3 vs tour on the same sequence Disrupted by Juan Carlos Prado Angelo (6/11), Sebastian Baez (5/6)
  3. BH crosscourt → BH crosscourt → BH through the middle used 1.4% · won 57% · +3.2±12.5 vs own baseline · +15.8 vs tour on the same sequence Disrupted by Juan Carlos Prado Angelo (6/11)
  4. BH crosscourt → BH through the middle → FH down the line used 1.1% · won 56% · +2.5±13.0 vs own baseline · +8.6 vs tour on the same sequence Disrupted by Juan Carlos Prado Angelo (7/12)
  5. BH through the middle → FH down the line → BH crosscourt used 1.1% · won 53% · ±0.0±13.0 vs own baseline · +6.7 vs tour on the same sequence Disrupted by Juan Carlos Prado Angelo (7/10)
  6. FH through the middle → FH down the line → BH crosscourt used 1.2% · won 52% · −1.3±12.9 vs own baseline · +3.8 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

FH to their backhand · rally+0.9168
BH to their backhand · rally+0.7242
FH to their forehand · rally+0.7199

Most exposed to

BH to their backhand · rally−0.6190
FH to their forehand · rally+1.3209
FH to their backhand · rally+2.3143

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

Charted matches