RallyIQ

Game plan

Daniel Evans v Guillermo Canas

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

Forecast

Daniel Evans wins, best of 3 69%90%: 37%–90% · best of 5: 73%
Serve points won 63.5% / 59.7% Daniel / Guillermo · tour 63.4%
Strengths only, no similarity priors 69%serve 63.5% / 59.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Daniel Evans's record against Guillermo Canas'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

CareerDanielGuillermo
Direction choice−0.03 ±0.17
better than 48%
−0.13 ±0.13
better than 23%
Shot selection−1.18 ±0.22
better than 1%
−0.02 ±0.24
better than 50%
Execution+0.37 ±0.40
better than 81%
+0.01 ±0.49
better than 68%
Points left on the table3.06 ±0.27
lower than 17%
2.57 ±0.12
lower than 53%

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.

Daniel Evans serving

Deuce court

1st serveNowDaniel winsv GuillermoMatchupOptimal
Wide31%74%76%77.4%±7.344% ▲
Body12%62%64%63.1%±13.60% ▼
T57%73%79%76.9%±7.756%

Optimal v Guillermo Canas: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaniel winsv GuillermoMatchupOptimal
Wide56%73%71%71.2%±7.769% ▲
Body9%57%71%65.2%±14.20% ▼
T34%67%73%68.3%±9.231% ▼

Optimal v Guillermo Canas: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.6 per 100 first serves in before the returner adjusts.

Guillermo Canas serving

Deuce court

1st serveNowGuillermo winsv DanielMatchupOptimal
Wide44%66%71%64.2%±8.844%
Body13%56%63%56.3%±13.30% ▼
T43%77%73%76.0%±8.256% ▲

Optimal v Daniel Evans: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGuillermo winsv DanielMatchupOptimal
Wide39%69%70%66.0%±9.452% ▲
Body8%67%66%70.3%±14.07%
T54%68%65%60.3%±9.841% ▼

Optimal v Daniel Evans: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +7.1 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.

Daniel Evans returning

1st serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle41%+4.3+1.7+1.7+7.7±2.8
FH down the line24%+1.7+1.8+0.7+4.1±4.4
FH slice through the middle14%−4.2+0.2±0.0−4.0±1.7
FH crosscourt13%+5.5−1.0−1.7+2.8±4.2
FH slice down the line6%−4.3+1.8±0.0−2.5±2.2

Lean FH through the middle: +4.0±2.1 per 100 returns v the current mix (455 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH slice through the middle43%−4.2+0.5−1.6−5.2±2.1
BH slice crosscourt27%+0.5+1.6+1.8+4.0±2.4
BH through the middle12%+6.4+0.9+1.9+9.2±2.9
BH slice down the line7%−8.4+0.3−0.1−8.1±3.0
BH crosscourt6%+8.8−0.6+0.3+8.5±3.5

Lean BH through the middle: +9.2±2.8 per 100 returns v the current mix (580 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle51%−3.5−0.4+0.7−3.1±2.9
FH down the line32%−1.8+0.9−1.2−2.1±4.3
FH crosscourt17%−0.2+3.4−0.5+2.7±3.8

Lean FH crosscourt: +4.5±3.7 per 100 returns v the current mix (103 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH slice crosscourt35%−4.0−2.1+0.7−5.4±2.2
BH slice through the middle25%−11.3−1.2±0.0−12.5±1.6
BH through the middle10%−2.9+0.5+0.3−2.0±2.6
FH through the middle9%−2.9−0.5+0.7−2.7±2.4
FH inside-out8%+1.0+1.1−1.2+0.8±3.4
BH crosscourt4%+1.0+0.4+0.4+1.8±3.1

Lean BH crosscourt: +7.4±3.2 per 100 returns v the current mix (442 returns charted)

Guillermo Canas returning

1st serve to the forehand

ReturnNowTourOwnv DanielValue
FH through the middle53%+4.3−0.8+0.9+4.3±2.7
FH down the line28%+1.7+1.0+5.9+8.6±4.3
FH crosscourt19%+5.5+1.9±0.0+7.4±4.1

Lean FH down the line: +2.5±3.5 per 100 returns v the current mix (102 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv DanielValue
BH through the middle44%+6.4−2.2+1.5+5.7±2.5
BH crosscourt26%+8.8−0.5+1.0+9.3±3.2
BH slice through the middle12%−4.2−1.4+0.1−5.5±2.3
BH down the line9%+4.2±0.0+3.0+7.3±4.1
BH slice crosscourt9%+0.5−1.0−2.1−2.5±2.7

Lean BH crosscourt: +4.6±2.7 per 100 returns v the current mix (123 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DanielValue
BH through the middle61%−2.9−2.4+0.5−4.7±2.2
BH crosscourt29%+1.0−0.5+1.0+1.6±3.0
BH down the line10%−0.2+1.7+5.3+6.8±4.5

Lean BH crosscourt: +3.4±2.6 per 100 returns v the current mix (124 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.

Daniel Evans

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+4.1±3.6+2.0+2.0
FH to their forehand · serve +1+4.1±3.8+0.2+3.9
BH to their backhand · rally+3.9±2.5+1.9+2.0
FH to their backhand · serve +1+3.1±3.3+1.2+1.8
BH to their forehand · rally+3.1±4.2+2.2+0.8
FH to the middle · return+2.6±2.5+0.5+2.1

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−2.0±2.3−0.3−1.7
BH to their backhand · return+0.2±3.5+0.4−0.2
FH to the middle · rally+1.0±2.1+1.5−0.5
FH to their forehand · rally+1.4±2.7+2.0−0.6
FH to their forehand · return +1+1.7±4.1+2.5−0.8

Guillermo Canas

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+0.8±4.1+2.0−1.2
BH to their backhand · return+0.5±2.9−1.0+1.6
FH to the middle · return+0.1±2.5−0.4+0.5
BH to the middle · rally−0.2±1.9+0.7−0.9
FH to the middle · rally−0.3±2.1+0.6−0.8
FH to their forehand · serve +1−0.3±3.6+2.4−2.6

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−2.6±2.2−1.3−1.3
FH to their backhand · serve +1−1.4±3.1−0.2−1.2
BH to the middle · return−1.2±2.0−2.4+1.2
FH to their forehand · rally−0.8±2.7+1.4−2.2
FH to their backhand · rally−0.3±2.4+0.5−0.8

Against Guillermo Canas-like opponents

Daniel Evans vMatchesServe pts wonReturn pts won
All charted opponents–62.1%37.6%

Similar by tactical fingerprint: Tomas Martin Etcheverry, Botic Van De Zandschulp, Miomir Kecmanovic, Camilo Ugo Carabelli, Jordan Thompson, Andreas Seppi, David Ferrer, Andy Roddick, Sebastien Grosjean, Aaron Krickstein. When two players have rarely met, their records against these lookalikes fill the gap.