RallyIQ

ATP · Left-handed · 2 charted matches · 2018–2019

Blaz Rola

Shot expected value

The share of points Blaz Rola 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 · 41 shots

OptionUsedWin %Tour
BH through the middle 37% 39.3%±13.6 43.7%
BH down the line 29% 47.7%±14.5 46.4%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 45% 50% 67% / 73%
Body 3% 25% ▲ 59% / 63%
T 53% 25% ▼ 66% / 75%

74 normal · 4 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 64% 63% 64% / 73%
Body 5% 0% 60% / 63%
T 31% 37% 73% / 72%

55 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
Wide45% 56.7%±10.1 n=35
Body4% 53.6%±14.3 n=3
T51% 54.4%±9.8 n=40

Consistent with an optimal mix (p = 0.64).

Ad court

1st serveUsagePoints won
Wide64% 46.4%±9.3 n=47
Body4% 50.1%±14.3 n=3
T32% 59.1%±11.0 n=24

Consistent with an optimal mix (p = 0.07).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 5 35% −2.4±13.2
1stAd courtT 17 33% +4.8±11.3
1stAd courtWide 6 23% −4.5±11.5
1stDeuce courtBody 3 36% −0.3±13.8
1stDeuce courtT 10 31% +6.2±12.1
1stDeuce courtWide 23 25% −2.4±9.8
2ndAd courtBody 9 46% −3.7±13.1
2ndAd courtT 16 50% +0.3±12.1
2ndAd courtWide 3 50% +1.7±14.3
2ndDeuce courtBody 5 48% −1.3±13.9
2ndDeuce courtT 3 48% −1.5±14.3
2ndDeuce courtWide 16 51% +2.8±12.1

Signature patterns

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

Serve → +1

  1. Not enough data

Return

  1. Not enough data

Rally, consecutive own shots

  1. FH crosscourt → FH crosscourt used 63.9% · won 59% · −2.0±9.0 vs own baseline

Discovered sequences

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

  1. FH crosscourt → BH through the middle → FH crosscourt used 3.8% · won 50% · +3.7±13.0 vs own baseline · +3.4 vs tour on the same sequence Disrupted by Carlos Berlocq (4/9), Mohamed Safwat (5/7)
  2. FH crosscourt → BH crosscourt → FH crosscourt used 3.8% · won 48% · +1.3±13.0 vs own baseline · +1.6 vs tour on the same sequence Disrupted by Mohamed Safwat (8/11)

Charted matches