RallyIQ

Game plan

Guillermo Canas v Nishesh Basavareddy

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

Forecast

Guillermo Canas wins, best of 3 31%90%: 6%–70% · best of 5: 26%
Serve points won 58.6% / 62.6% Guillermo / Nishesh · tour 61.3%
Strengths only, no similarity priors 31%serve 58.6% / 62.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Guillermo Canas's record against Nishesh Basavareddy's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.9 on serve, −1.4 on return vs expectation (164 points)). 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

CareerGuillermoNishesh
Direction choice−0.13 ±0.13
better than 23%
+0.26 ±0.08
better than 97%
Shot selection−0.02 ±0.24
better than 50%
+0.26 ±0.11
better than 77%
Execution+0.01 ±0.49
better than 68%
+0.46 ±0.64
better than 83%
Points left on the table2.57 ±0.12
lower than 53%
2.06 ±0.10
lower than 98%

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.

Guillermo Canas serving

Deuce court

1st serveNowGuillermo winsv NisheshMatchupOptimal
Wide44%66%72%65.5%±9.357% ▲
Body13%56%61%53.8%±13.70% ▼
T43%77%69%71.6%±9.943%

Optimal v Nishesh Basavareddy: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGuillermo winsv NisheshMatchupOptimal
Wide39%69%74%70.2%±9.652% ▲
Body8%67%61%65.6%±15.20% ▼
T54%68%72%67.4%±9.748% ▼

Optimal v Nishesh Basavareddy: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.9 per 100 first serves in before the returner adjusts.

Nishesh Basavareddy serving

Deuce court

1st serveNowNishesh winsv GuillermoMatchupOptimal
Wide53%76%76%78.8%±7.266% ▲
Body10%69%64%70.1%±13.50% ▼
T37%78%79%81.2%±7.734% ▼

Optimal v Guillermo Canas: +0.9±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNishesh winsv GuillermoMatchupOptimal
Wide50%76%71%74.5%±8.163% ▲
Body8%60%71%68.1%±14.80% ▼
T42%72%73%73.2%±9.037% ▼

Optimal v Guillermo Canas: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.1 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.

Guillermo Canas returning

1st serve to the forehand

ReturnNowTourOwnv NisheshValue
FH through the middle53%+4.3−0.8−0.9+2.6±2.9
FH down the line28%+1.7+1.0−2.5+0.2±4.4
FH crosscourt19%+5.5+1.9+2.8+10.2±4.2

Lean FH crosscourt: +6.9±4.0 per 100 returns v the current mix (102 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NisheshValue
BH through the middle44%+6.4−2.2+1.1+5.3±2.7
BH crosscourt26%+8.8−0.5+1.4+9.7±3.6
BH slice through the middle12%−4.2−1.4+1.5−4.1±2.3
BH down the line9%+4.2±0.0−1.0+3.3±4.1
BH slice crosscourt9%+0.5−1.0−2.0−2.4±2.5

Lean BH crosscourt: +5.3±2.9 per 100 returns v the current mix (123 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv NisheshValue
BH through the middle61%−2.9−2.4−0.2−5.5±2.4
BH crosscourt29%+1.0−0.5−0.5±0.0±3.3
BH down the line10%−0.2+1.7−3.2−1.7±4.5

Lean BH crosscourt: +3.5±2.8 per 100 returns v the current mix (124 returns charted)

Nishesh Basavareddy returning

1st serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle44%+4.3−0.9+1.7+5.0±3.0
FH crosscourt31%+5.5+1.5−1.7+5.3±4.1
FH down the line10%+1.7−3.5+0.7−1.1±4.4
FH slice through the middle6%−4.2+0.4±0.0−3.8±1.4
FH slice crosscourt5%−4.3−2.9±0.0−7.2±1.7

Lean FH crosscourt: +2.4±3.2 per 100 returns v the current mix (262 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH crosscourt31%+8.8−0.7+0.3+8.4±3.5
BH through the middle27%+6.4+2.0+1.9+10.3±2.9
BH slice through the middle18%−4.2+1.6−1.6−4.2±2.4
BH slice crosscourt12%+0.5−2.5+1.8−0.1±2.6
BH slice down the line8%−8.4−0.4−0.1−8.9±2.8

Lean BH through the middle: +6.3±2.4 per 100 returns v the current mix (253 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH crosscourt52%−0.2+1.1−0.5+0.4±4.1
FH through the middle35%−3.5+0.5+0.7−2.2±2.8
FH down the line7%−1.8+0.8−1.2−2.2±3.5
FH slice through the middle6%−12.7−0.3±0.0−12.9±1.0

Lean FH crosscourt: +1.9±2.2 per 100 returns v the current mix (86 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH crosscourt58%+1.0+2.9+0.4+4.3±3.3
BH through the middle35%−2.9−1.0+0.3−3.6±2.6
BH down the line7%−0.2−3.2+1.1−2.3±3.4

Lean BH crosscourt: +3.2±1.7 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Guillermo Canas

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+2.4±5.0+2.7−0.3
FH to their forehand · rally+2.1±4.0+2.0+0.1
FH to their backhand · rally+1.7±3.7+0.1+1.6
FH to the middle · rally+1.6±2.8+0.6+1.0
FH to their forehand · return +1+0.8±5.3+1.6−0.8
BH to their backhand · rally+0.1±3.2−1.0+1.1

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−4.8±2.8−5.0+0.2
FH to the middle · return−2.6±3.2−2.6±0.0
BH to their backhand · return−2.0±4.0−2.6+0.6
FH to their backhand · serve +1−0.3±4.4−0.9+0.6
BH to the middle · rally±0.0±2.5−0.9+0.9

Nishesh Basavareddy

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+7.2±5.0+1.7+5.6
BH to their backhand · rally+4.3±3.0+2.5+1.8
BH to their backhand · return +1+4.2±4.0+2.3+1.9
BH to their forehand · rally+3.6±5.2+3.1+0.5
FH to the middle · return+3.1±3.4+0.2+2.8
FH to the middle · rally+2.6±2.9+2.8−0.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−3.3±5.2−0.4−2.8
FH to their backhand · rally−1.4±3.7+1.0−2.5
FH to their backhand · serve +1−1.1±4.6−2.3+1.2
BH to the middle · rally−0.9±2.8+1.1−2.1
FH to their forehand · rally−0.1±3.9+1.9−2.0

Against Nishesh Basavareddy-like opponents

Guillermo Canas vMatchesServe pts wonReturn pts won
All charted opponents–60.1%31.6%
Players most similar to Nishesh Basavareddy1 58.0%30.2%

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.