RallyIQ

Game plan

Eliot Spizzirri v Nishesh Basavareddy

Every number combines what Eliot Spizzirri does well with what Nishesh Basavareddy allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Serve plan

The share of points the server wins when a first serve lands in that direction (hover a rate for its 90% interval; ± is the 90% margin). "Matchup" combines the server's rate with how this returner handles that serve. "Optimal" is the mix that wins most against this returner once they start reading a habit, at the response measured across the tour, and only within the range servers' habits actually vary. The gain over the current mix is how exploitable that mix is.

Eliot Spizzirri serving

Deuce court

1st serveNowEliot winsv NisheshMatchupOptimal
Wide42%70%72%69.4%±10.855% ▲
Body17%67%61%65.1%±13.84% ▼
T41%73%69%66.9%±12.041%

Optimal v Nishesh Basavareddy: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowEliot winsv NisheshMatchupOptimal
Wide38%68%74%69.8%±11.751% ▲
Body17%54%61%52.2%±15.04% ▼
T45%70%72%70.3%±11.345%

Optimal v Nishesh Basavareddy: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.3 per 100 first serves in before the returner adjusts.

Nishesh Basavareddy serving

Deuce court

1st serveNowNishesh winsv EliotMatchupOptimal
Wide53%76%75%77.4%±8.966% ▲
Body10%69%60%66.3%±13.90% ▼
T37%78%71%74.4%±10.334% ▼

Optimal v Eliot Spizzirri: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNishesh winsv EliotMatchupOptimal
Wide50%76%69%72.7%±10.363% ▲
Body8%60%65%61.4%±15.10% ▼
T42%72%71%71.5%±10.537% ▼

Optimal v Eliot Spizzirri: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.4 per 100 first serves in before the returner adjusts.

Return plan

Value of each return, in points per 100 returns against an average return of the same serve (direction, court, surface): the tour's result with that return, the returner's own edge with it, and what this server gives up when it comes back to that side. Returns with no charted direction are left out, so values compare with each other rather than with zero. Depth isn't a choice here: missed returns have no depth. Serve quality isn't charted, so a block through the middle partly reflects the serve that forced it.

Eliot Spizzirri returning

1st serve to the forehand

ReturnNowTourOwnv NisheshValue
FH through the middle65%+4.3+0.8−0.9+4.2±2.8
FH crosscourt23%+5.5−4.6+2.8+3.6±4.1
FH down the line12%+1.7−0.2−2.5−1.0±3.8

Lean FH through the middle: +0.7±1.4 per 100 returns v the current mix (60 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NisheshValue
BH through the middle69%+6.4+2.3+1.1+9.8±2.7
BH crosscourt31%+8.8+1.6+1.4+11.8±3.3

Lean BH crosscourt: +1.4±3.0 per 100 returns v the current mix (49 returns charted, inside the 90% margin)

Nishesh Basavareddy returning

1st serve to the forehand

ReturnNowTourOwnv EliotValue
FH through the middle44%+4.3−0.9−0.6+2.7±2.9
FH crosscourt31%+5.5+1.5−0.9+6.1±4.0
FH down the line10%+1.7−3.5+0.4−1.4±3.9
FH slice through the middle6%−4.2+0.4−0.3−4.2±1.8
FH slice crosscourt5%−4.3−2.9±0.0−7.2±1.7

Lean FH crosscourt: +4.1±3.1 per 100 returns v the current mix (262 returns charted)

1st serve to the backhand

ReturnNowTourOwnv EliotValue
BH crosscourt31%+8.8−0.7−1.2+6.9±3.3
BH through the middle27%+6.4+2.0−0.2+8.2±2.8
BH slice through the middle18%−4.2+1.6+0.1−2.5±2.2
BH slice crosscourt12%+0.5−2.5+0.9−1.1±2.4
BH slice down the line8%−8.4−0.4±0.0−8.8±2.3

Lean BH through the middle: +5.1±2.4 per 100 returns v the current mix (253 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv EliotValue
FH crosscourt52%−0.2+1.1−1.2−0.3±4.0
FH through the middle35%−3.5+0.5+0.2−2.8±2.7
FH down the line7%−1.8+0.8±0.0−1.0±2.1
FH slice through the middle6%−12.7−0.3±0.0−12.9±1.0

Lean FH crosscourt: +1.6±2.1 per 100 returns v the current mix (86 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv EliotValue
BH crosscourt58%+1.0+2.9−0.5+3.4±3.1
BH through the middle35%−2.9−1.0+0.3−3.6±2.6
BH down the line7%−0.2−3.2−1.9−5.4±3.3

Lean BH crosscourt: +3.1±1.6 per 100 returns v the current mix (113 returns charted)

Rally plan

Edge, in points per 100 shots: the hitter's skill with the shot (own) plus how much the receiver usually gives up against it (theirs), both measured against the tour average on hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Eliot Spizzirri

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+4.6±2.8+3.8+0.8
FH to their forehand · rally+3.1±4.0+3.0+0.2
FH to the middle · rally+3.0±3.2+2.0+1.0
BH to the middle · return+2.9±3.2+2.7+0.2
FH to their backhand · rally+2.9±4.2+1.1+1.9
FH to their backhand · serve +1+1.7±5.1+1.0+0.7

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−0.7±3.5−0.4−0.3
BH to their backhand · rally+0.7±3.3−0.5+1.2
FH to their backhand · serve +1+1.7±5.1+1.0+0.7
FH to their backhand · rally+2.9±4.2+1.1+1.9
BH to the middle · return+2.9±3.2+2.7+0.2

Nishesh Basavareddy

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+2.5±3.9+2.1+0.4
BH to their backhand · rally+2.5±2.9+2.7−0.2
BH to the middle · rally+2.1±3.1+1.2+0.9
FH to their backhand · rally+1.4±4.1+1.2+0.2
BH to the middle · return+0.6±3.5+0.8−0.2

Avoid

ShotEdgeOwnTheirs
BH to the middle · return+0.6±3.5+0.8−0.2
FH to their backhand · rally+1.4±4.1+1.2+0.2
BH to the middle · rally+2.1±3.1+1.2+0.9
BH to their backhand · rally+2.5±2.9+2.7−0.2
FH to their forehand · rally+2.5±3.9+2.1+0.4

Against Nishesh Basavareddy-like opponents

Eliot Spizzirri vMatchesServe pts wonReturn pts won
All charted opponents–60.6%37.9%
Nishesh Basavareddy (charted head-to-head)1 40.5%21.1%

Similar by tactical fingerprint: Daniil Medvedev, Frances Tiafoe, Novak Djokovic, Luca Nardi, Richard Gasquet, Karue Sell, Gregoire Barrere, Andy Murray, David Nalbandian, Andre Agassi. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head