RallyIQ

Game plan

Nishesh Basavareddy v Camilo Ugo Carabelli

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

Forecast

Nishesh Basavareddy wins, best of 3 86%90%: 62%–97% · best of 5: 91%
Serve points won 67.5% / 58.9% Nishesh / Camilo · tour 63.8%
Strengths only, no similarity priors 86%serve 67.5% / 58.9%

Each player's serve and return strength is fitted against every opponent they were charted against, so a record built on weak opponents counts for less. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers. The result is then nudged by Nishesh Basavareddy's record against Camilo Ugo Carabelli's tactical lookalikes and in their charted head-to-heads. A game-by-game Markov chain turns point odds into match odds; the 90% range covers the uncertainty in the two strengths, not the nudges. Charted matches lean toward big events, so treat this as a scouting estimate, not a betting line.

Head to head, per 100 shots

CareerNisheshCamilo
Direction choice+0.26 ±0.08
better than 97%
−0.26 ±0.08
better than 7%
Shot selection+0.26 ±0.11
better than 77%
−0.62 ±0.47
better than 8%
Execution+0.46 ±0.64
better than 83%
−0.37 ±0.45
better than 50%
Points left on the table2.06 ±0.10
lower than 98%
2.74 ±0.12
lower than 36%

Each player's career against an average tour player in the same position, adjusted for opponent strength, with a 90% margin (shots clustered by match). Points left on the table is the gap to the best-value direction for the same stroke, so lower is better. Percentiles are within each player's own tour. A side is highlighted only when the gap is larger than the margin on the difference.

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.

Nishesh Basavareddy serving

Deuce court

1st serveNowNishesh winsv CamiloMatchupOptimal
Wide53%76%70%72.4%±7.866% ▲
Body10%69%67%72.6%±11.60% ▼
T37%78%74%77.2%±7.834% ▼

Optimal v Camilo Ugo Carabelli: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNishesh winsv CamiloMatchupOptimal
Wide50%76%67%70.6%±8.345% ▼
Body8%60%58%54.5%±15.60% ▼
T42%72%71%71.8%±9.055% ▲

Optimal v Camilo Ugo Carabelli: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.9 per 100 first serves in before the returner adjusts.

Camilo Ugo Carabelli serving

Deuce court

1st serveNowCamilo winsv NisheshMatchupOptimal
Wide31%75%72%74.3%±8.344% ▲
Body28%62%61%59.1%±10.828%
T41%68%69%61.0%±9.628% ▼

Optimal v Nishesh Basavareddy: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +9.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCamilo winsv NisheshMatchupOptimal
Wide33%68%74%69.2%±8.946% ▲
Body14%59%61%57.4%±13.11% ▼
T52%67%72%66.7%±9.053%

Optimal v Nishesh Basavareddy: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 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.

Nishesh Basavareddy returning

1st serve to the forehand

ReturnNowTourOwnv CamiloValue
FH through the middle44%+4.3−0.9−0.3+3.0±2.9
FH crosscourt31%+5.5+1.5+2.2+9.2±4.4
FH down the line10%+1.7−3.5+0.3−1.5±4.4
FH slice through the middle6%−4.2+0.4−0.4−4.2±1.9
FH slice crosscourt5%−4.3−2.9±0.0−7.2±1.7

Lean FH crosscourt: +6.1±3.3 per 100 returns v the current mix (262 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CamiloValue
BH crosscourt31%+8.8−0.7−0.9+7.2±3.5
BH through the middle27%+6.4+2.0−1.0+7.4±2.8
BH slice through the middle18%−4.2+1.6−1.3−3.9±2.3
BH slice crosscourt12%+0.5−2.5−0.6−2.5±2.7
BH slice down the line8%−8.4−0.4−0.3−9.1±2.7

Lean BH through the middle: +4.8±2.4 per 100 returns v the current mix (253 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CamiloValue
FH crosscourt52%−0.2+1.1+1.5+2.4±4.4
FH through the middle35%−3.5+0.5−0.5−3.5±2.9
FH down the line7%−1.8+0.8+0.5−0.4±3.9
FH slice through the middle6%−12.7−0.3±0.0−12.9±1.0

Lean FH crosscourt: +3.1±2.3 per 100 returns v the current mix (86 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CamiloValue
BH crosscourt58%+1.0+2.9−0.9+3.0±3.3
BH through the middle35%−2.9−1.0+0.6−3.3±2.6
BH down the line7%−0.2−3.2−0.7−4.1±4.1

Lean BH crosscourt: +2.7±1.7 per 100 returns v the current mix (113 returns charted)

Camilo Ugo Carabelli returning

1st serve to the forehand

ReturnNowTourOwnv NisheshValue
FH through the middle39%+4.3±0.0−0.9+3.4±2.9
FH slice through the middle25%−4.2−1.2+0.4−5.0±2.3
FH down the line15%+1.7−2.2−2.5−3.1±4.3
FH crosscourt9%+5.5+0.1+2.8+8.4±4.0
FH slice down the line8%−4.3−1.2+0.2−5.2±2.5

Lean FH through the middle: +3.7±2.0 per 100 returns v the current mix (137 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NisheshValue
BH through the middle42%+6.4+1.5+1.1+9.0±2.7
BH crosscourt27%+8.8+0.5+1.4+10.7±3.6
BH down the line21%+4.2−0.4−1.0+2.8±4.6
BH slice down the line3%−8.4+0.2−2.9−11.1±2.5
BH slice through the middle3%−4.2+0.4+1.5−2.3±2.1

Lean BH crosscourt: +4.0±3.0 per 100 returns v the current mix (172 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NisheshValue
FH through the middle65%−3.5−0.6+1.0−3.1±2.8
FH down the line19%−1.8+0.2−3.2−4.8±4.0
FH crosscourt16%−0.2+0.9+2.2+2.9±3.6

Lean FH through the middle: −0.7±1.4 per 100 returns v the current mix (43 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NisheshValue
BH crosscourt33%+1.0±0.0−0.5+0.5±3.2
BH through the middle22%−2.9−2.0−0.2−5.0±2.3
FH through the middle19%−2.9+0.2+1.0−1.6±2.3
FH inside-out18%+1.0+1.0−3.2−1.2±3.5
BH down the line7%−0.2−3.6−3.2−7.0±4.2

Lean BH crosscourt: +2.5±2.4 per 100 returns v the current mix (94 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.

Nishesh Basavareddy

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+6.0±5.7+3.5+2.5
FH to the middle · rally+4.1±3.2+3.2+0.9
BH to their backhand · rally+3.8±2.9+2.7+1.1
BH to their backhand · serve +1+3.7±3.9+3.9−0.2
BH to their backhand · return +1+3.4±4.3+2.9+0.5
FH to their forehand · return+2.5±5.8+1.2+1.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−3.5±4.9−3.0−0.5
FH to their forehand · rally−2.5±3.7+2.1−4.6
FH to the middle · return−2.3±3.6+0.1−2.4
BH to their backhand · return−1.9±4.0+0.1−1.9
FH to their backhand · return−1.7±5.8−1.8+0.1

Camilo Ugo Carabelli

Favour

ShotEdgeOwnTheirs
FH to the middle · serve +1+4.6±3.9+2.7+1.9
FH to the middle · rally+4.2±2.9+3.2+1.0
FH to their backhand · rally+3.0±3.7+1.2+1.9
BH to their backhand · rally+3.0±3.1+1.8+1.2
FH to their forehand · rally+2.7±3.9+2.5+0.2
BH to the middle · rally+1.7±2.7+0.9+0.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−7.3±5.7−2.5−4.8
BH to the middle · serve +1−4.2±3.5−3.0−1.3
BH to their backhand · return +1−4.0±4.6−3.7−0.3
FH to their forehand · serve +1−3.6±5.6−3.3−0.4
FH to their backhand · serve +1−1.6±4.7−2.3+0.7

Against Camilo Ugo Carabelli-like opponents

Nishesh Basavareddy vMatchesServe pts wonReturn pts won
All charted opponents–65.9%39.2%

Similar by tactical fingerprint: Jesper De Jong, Tomas Martin Etcheverry, Alex De Minaur, Botic Van De Zandschulp, Miomir Kecmanovic, Taro Daniel, Emil Ruusuvuori, Juan Martin Del Potro, David Ferrer, Guillermo Canas. When two players have rarely met, their records against these lookalikes fill the gap.