RallyIQ

ATP · Right-handed · 3 charted matches · 2024–2026

Eliot Spizzirri

Shot expected value

The share of points Eliot Spizzirri 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 · 104 shots

OptionUsedWin %Tour
BH crosscourt 37% 54.3%±10.8 47.6%
BH through the middle 23% 40.3%±12.2 43.7%
BH down the line 14% 43.6%±13.8 46.4%
FH inside-out 11% 49.6%±14.8 51.8%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 85 shots

OptionUsedWin %Tour
FH crosscourt 27% 54.7%±12.5 52.7%
FH down the line 22% 46.9%±13.1 51.5%
BH through the middle 19% 53.8%±13.7 46.8%
FH through the middle 16% 48.2%±14.1 47.0%
BH crosscourt 15% 54.0%±14.3 49.1%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 72 shots

OptionUsedWin %Tour
BH crosscourt 36% 49.1%±12.1 48.0%
BH through the middle 24% 56.1%±13.4 43.8%
BH down the line 17% 44.7%±14.5 46.5%

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

position worth 44% to the average player · 71 shots

OptionUsedWin %Tour
FH crosscourt 48% 39.5%±10.9 46.6%
FH through the middle 27% 41.8%±13.0 41.5%
FH down the line 25% 49.9%±13.3 44.7%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 42% 50% ▲ 70% / 73%
Body 17% 17% 67% / 63%
T 42% 33% ▼ 73% / 75%

125 normal · 6 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 39% 33% 68% / 73%
Body 19% 6% ▼ 54% / 63%
T 42% 61% ▲ 70% / 72%

100 normal · 18 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% 61.9%±8.7 n=55
Body17% 65.6%±10.8 n=22
T41% 65.5%±8.5 n=54

Consistent with an optimal mix (p = 0.77).

Ad court

1st serveUsagePoints won
Wide38% 57.1%±9.4 n=45
Body17% 50.1%±11.6 n=20
T45% 60.6%±8.8 n=53

Consistent with an optimal mix (p = 0.22).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 21 35% −1.5±11.0
1stAd courtT 37 29% +0.9±9.1
1stAd courtWide 36 31% +3.3±9.3
1stDeuce courtBody 18 40% +2.9±11.6
1stDeuce courtT 38 29% +3.6±9.0
1stDeuce courtWide 42 25% −2.0±8.4
2ndAd courtBody 29 52% +2.8±10.7
2ndAd courtT 8 49% +0.2±13.3
2ndAd courtWide 13 48% −0.7±12.5
2ndDeuce courtBody 34 48% −1.0±10.3
2ndDeuce courtT 17 49% −1.0±12.0
2ndDeuce courtWide 7 50% +1.7±13.5

Discovered sequences

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

  1. FH crosscourt → FH crosscourt → FH crosscourt used 2.0% · won 49% · −1.4±12.7 vs own baseline · −1.7 vs tour on the same sequence Disrupted by Jannik Sinner (5/8)

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

Most exposed to

BH to their backhand · rally+0.2130

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

Charted matches