RallyIQ

ATP · Right-handed · 2 charted matches · 2019–2021

Salvatore Caruso

Shot expected value

The share of points Salvatore Caruso 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.

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 101 shots

OptionUsedWin %Tour
BH crosscourt 56% 59.2%±9.2 48.0%
BH through the middle 14% 40.5%±13.8 43.8%

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

position worth 46% to the average player · 94 shots

OptionUsedWin %Tour
BH crosscourt 68% 54.2%±8.9 47.6%
BH through the middle 13% 52.3%±14.5 43.7%
FH inside-out 13% 60.5%±14.2 51.8%

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

position worth 44% to the average player · 85 shots

OptionUsedWin %Tour
FH crosscourt 49% 53.7%±10.4 46.6%
FH through the middle 35% 40.6%±11.4 41.5%
FH down the line 15% 45.3%±14.3 44.7%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 77 shots

OptionUsedWin %Tour
FH crosscourt 42% 45.3%±11.4 52.7%
BH through the middle 18% 42.2%±13.9 46.8%
BH crosscourt 18% 49.5%±14.1 49.1%
FH down the line 16% 57.2%±14.4 51.5%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 48% 50% 72% / 73%
Body 14% 0% ▼ 62% / 63%
T 38% 50% ▲ 73% / 75%

95 normal · 2 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 57% 69% ▲ 78% / 73%
Body 21% 15% 58% / 63%
T 22% 15% 69% / 72%

76 normal · 13 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
Wide48% 62.2%±9.1 n=47
Body13% 64.8%±12.0 n=13
T38% 62.5%±9.7 n=37

Consistent with an optimal mix (p = 0.89).

Ad court

1st serveUsagePoints won
Wide58% 65.9%±8.6 n=52
Body20% 57.4%±11.7 n=18
T21% 59.3%±11.5 n=19

Consistent with an optimal mix (p = 0.31).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 5 37% +0.4±13.5
1stAd courtT 24 32% +4.2±10.5
1stAd courtWide 26 24% −3.7±9.3
1stDeuce courtBody 3 33% −3.3±13.5
1stDeuce courtT 25 26% +1.3±9.8
1stDeuce courtWide 38 36% +8.3±9.5
2ndAd courtBody 20 52% +2.2±11.6
2ndAd courtT 12 47% −2.2±12.7
2ndAd courtWide 10 46% −2.1±13.0
2ndDeuce courtBody 18 45% −3.8±11.8
2ndDeuce courtT 16 56% +6.6±12.0
2ndDeuce courtWide 11 47% −0.7±12.8

Signature patterns

Recurring sequences that win more than Salvatore Caruso'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. BH crosscourt → BH crosscourt used 15.8% · won 54% · +1.7±9.7 vs own baseline
  2. BH crosscourt → FH crosscourt used 10.4% · won 54% · +1.7±11.1 vs own baseline
  3. BH through the middle → BH crosscourt used 8.3% · won 47% · −4.9±11.8 vs own baseline
  4. FH crosscourt → FH crosscourt used 9.5% · won 47% · −5.7±11.4 vs own baseline
  5. BH through the middle → FH crosscourt used 8.3% · won 41% · −10.9±11.7 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Salvatore Caruso 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 4.4% · won 54% · +3.4±10.3 vs own baseline · +8.4 vs tour on the same sequence Disrupted by Botic Van De Zandschulp (6/15), Lucas Catarina (15/22)
  2. FH crosscourt → FH crosscourt → FH through the middle used 2.0% · won 52% · +0.8±12.7 vs own baseline · +8.3 vs tour on the same sequence Disrupted by Lucas Catarina (8/13)
  3. FH crosscourt → FH crosscourt → FH crosscourt used 2.8% · won 52% · +0.5±11.9 vs own baseline · +3.4 vs tour on the same sequence Disrupted by Botic Van De Zandschulp (4/9), Lucas Catarina (8/14)
  4. FH crosscourt → FH crosscourt → FH down the line used 2.4% · won 48% · −2.7±12.3 vs own baseline · −1.8 vs tour on the same sequence Disrupted by Botic Van De Zandschulp (2/6), Lucas Catarina (7/14)

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+2.3161
FH to their forehand · rally−0.2144

Most exposed to

BH to their backhand · rally−1.8146

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

Charted matches