RallyIQ

Game plan

Reilly Opelka v Guillermo Garcia Lopez

Every number combines what Reilly Opelka does well with what Guillermo Garcia Lopez allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Reilly Opelka wins, best of 3 49%90%: 25%–73% · best of 5: 49%
Serve points won 69.2% / 69.4% Reilly / Guillermo · tour 63.4%
Strengths only, no similarity priors 39%serve 67.9% / 70.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Reilly Opelka's record against Guillermo Garcia Lopez's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.0 on serve, +3.6 on return vs expectation (653 points); head-to-head: +9.9 on serve, +4.1 on return vs expectation (113 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

CareerReillyGuillermo
Direction choice−0.19 ±0.11
better than 16%
−0.10 ±0.14
better than 30%
Shot selection+0.14 ±0.11
better than 69%
−0.35 ±0.19
better than 19%
Execution−1.23 ±0.68
better than 18%
+0.73 ±0.86
better than 89%
Points left on the table2.88 ±0.20
lower than 25%
2.65 ±0.24
lower than 46%

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.

Reilly Opelka serving

Deuce court

1st serveNowReilly winsv GuillermoMatchupOptimal
Wide50%77%72%75.9%±6.563% ▲
Body9%62%61%60.1%±11.30% ▼
T41%80%73%79.2%±5.537% ▼

Optimal v Guillermo Garcia Lopez: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowReilly winsv GuillermoMatchupOptimal
Wide49%82%79%86.4%±4.462% ▲
Body7%61%70%67.7%±12.00% ▼
T44%77%74%78.3%±6.438% ▼

Optimal v Guillermo Garcia Lopez: +1.1±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.0 per 100 first serves in before the returner adjusts.

Guillermo Garcia Lopez serving

Deuce court

1st serveNowGuillermo winsv ReillyMatchupOptimal
Wide35%73%80%80.6%±5.935%
Body16%69%70%74.6%±9.32% ▼
T50%80%83%86.8%±4.763% ▲

Optimal v Reilly Opelka: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGuillermo winsv ReillyMatchupOptimal
Wide48%75%81%83.0%±5.350% ▲
Body19%62%72%71.4%±9.86% ▼
T33%78%80%84.7%±5.644% ▲

Optimal v Reilly Opelka: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.4 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.

Reilly Opelka returning

1st serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle41%+4.3−3.8−1.6−1.1±2.6
FH down the line21%+1.7−0.8−2.2−1.3±4.2
FH slice through the middle16%−4.2−2.6±0.0−6.9±1.5
FH crosscourt13%+5.5−1.9+1.8+5.3±4.2
FH slice down the line4%−4.3+1.2±0.0−3.0±2.2

Lean FH crosscourt: +6.7±3.9 per 100 returns v the current mix (809 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle57%+6.4−2.2−1.9+2.4±2.4
BH crosscourt24%+8.8−2.2−1.1+5.5±3.3
BH slice through the middle7%−4.2−1.9+0.3−5.7±2.2
BH down the line7%+4.2+2.8+0.1+7.1±4.6
BH slice crosscourt3%+0.5−1.7+0.9−0.3±2.5

Lean BH down the line: +4.6±4.6 per 100 returns v the current mix (713 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle43%−3.5−4.5−0.7−8.6±2.8
FH down the line31%−1.8−4.5−0.9−7.2±4.7
FH crosscourt15%−0.2−5.8−0.8−6.8±4.2
FH slice through the middle6%−12.7+0.1±0.0−12.6±1.4
BH through the middle3%+0.1−0.5+0.2−0.1±1.7

Lean FH crosscourt: +1.1±4.1 per 100 returns v the current mix (219 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle53%−2.9−2.9+0.2−5.6±2.3
BH crosscourt34%+1.0−3.5−0.7−3.1±3.1
BH down the line9%−0.2−1.5+1.7−0.1±5.0
FH through the middle2%−2.9+0.3−0.7−3.2±2.2
FH inside-out2%+1.0+0.7−0.9+0.8±3.2

Lean BH down the line: +4.0±4.8 per 100 returns v the current mix (482 returns charted, inside the 90% margin)

Guillermo Garcia Lopez returning

1st serve to the forehand

ReturnNowTourOwnv ReillyValue
FH through the middle47%+4.3+1.2+1.2+6.6±2.7
FH crosscourt19%+5.5−1.5+1.7+5.7±4.1
FH down the line16%+1.7−0.5+4.4+5.6±4.2
FH slice through the middle12%−4.2+0.2−0.3−4.3±1.9
FH slice crosscourt7%−4.3+0.5+2.1−1.7±2.5

Lean FH through the middle: +2.2±1.8 per 100 returns v the current mix (116 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ReillyValue
BH slice through the middle28%−4.2+2.0−1.5−3.7±2.3
BH through the middle26%+6.4+0.4+0.8+7.6±2.5
BH crosscourt14%+8.8−1.3+0.3+7.8±3.4
BH down the line12%+4.2−0.5−2.0+1.8±4.4
BH slice crosscourt11%+0.5+0.9−1.8−0.4±2.9

Lean BH crosscourt: +6.2±3.1 per 100 returns v the current mix (167 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ReillyValue
BH crosscourt36%+1.0+0.1−2.1−1.0±3.1
BH through the middle29%−2.9+0.3−1.1−3.6±2.1
FH through the middle10%−2.9−0.8−1.3−5.0±2.0
BH down the line7%−0.2+0.3−0.1±0.0±4.2
BH slice crosscourt7%−4.0−0.4−3.2−7.6±2.2

Lean BH crosscourt: +2.2±2.1 per 100 returns v the current mix (110 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.

Reilly Opelka

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+1.5±4.2+0.3+1.2
BH to their backhand · return +1−2.6±3.2−6.0+3.4
BH slice to their backhand · rally−2.8±2.5−2.1−0.7
FH to their backhand · serve +1−3.2±2.9−2.6−0.7
FH to their forehand · rally−3.9±2.8−4.6+0.7
BH to the middle · return−3.9±1.9−2.9−1.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−7.0±3.6−4.7−2.4
FH to the middle · return−6.5±2.3−4.7−1.8
FH to the middle · rally−5.3±2.2−5.0−0.4
BH to their forehand · rally−5.3±3.8−4.8−0.6
BH to the middle · rally−5.1±1.9−4.6−0.4

Guillermo Garcia Lopez

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+7.4±3.6+5.5+1.9
BH to their forehand · rally+4.3±4.0+2.0+2.3
BH to their backhand · rally+2.8±2.3+2.4+0.4
FH to their forehand · rally+2.7±2.9+1.8+0.9
FH to the middle · rally+2.2±2.1+1.0+1.1
FH to their backhand · return +1+2.1±3.9+3.5−1.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−3.1±3.1−1.2−1.9
BH slice to their backhand · rally−2.8±2.3−0.6−2.2
BH slice to the middle · return−1.4±2.2+1.9−3.2
FH to their backhand · serve +1−0.2±3.0+1.1−1.3
BH to the middle · return+0.1±2.1+1.1−1.0

Against Guillermo Garcia Lopez-like opponents

Reilly Opelka vMatchesServe pts wonReturn pts won
All charted opponents–70.0%27.5%
Players most similar to Guillermo Garcia Lopez4 70.2%33.8%
Guillermo Garcia Lopez (charted head-to-head)1 77.8%33.9%

Similar by tactical fingerprint: Learner Tien, Lorenzo Musetti, Gael Monfils, Jack Draper, Marton Fucsovics, David Goffin, Andy Murray, Juan Martin Del Potro, Philipp Kohlschreiber, Marcos Baghdatis. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head