RallyIQ

Game plan

Feliciano Lopez v Reilly Opelka

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

Forecast

Feliciano Lopez wins, best of 3 32%90%: 22%–43% · best of 5: 28%
Serve points won 71.7% / 75.8% Feliciano / Reilly · tour 63.8%
Strengths only, no similarity priors 32%serve 71.7% / 75.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerFelicianoReilly
Direction choice−0.05 ±0.07
better than 44%
−0.19 ±0.11
better than 16%
Shot selection−0.69 ±0.13
better than 6%
+0.14 ±0.11
better than 69%
Execution−2.05 ±0.46
better than 3%
−1.23 ±0.68
better than 18%
Points left on the table3.52 ±0.13
lower than 8%
2.88 ±0.20
lower than 25%

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.

Feliciano Lopez serving

Deuce court

1st serveNowFeliciano winsv ReillyMatchupOptimal
Wide40%80%80%85.6%±2.938% ▼
Body11%69%70%75.0%±6.40% ▼
T49%74%83%82.1%±3.362% ▲

Optimal v Reilly Opelka: +0.7±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFeliciano winsv ReillyMatchupOptimal
Wide49%80%81%86.5%±2.762% ▲
Body9%69%72%77.2%±6.70% ▼
T42%82%80%87.9%±2.838% ▼

Optimal v Reilly Opelka: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.6 per 100 first serves in before the returner adjusts.

Reilly Opelka serving

Deuce court

1st serveNowReilly winsv FelicianoMatchupOptimal
Wide50%77%76%80.2%±3.162% ▲
Body9%62%68%67.0%±7.50% ▼
T41%80%81%85.4%±2.938% ▼

Optimal v Feliciano Lopez: +0.9±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowReilly winsv FelicianoMatchupOptimal
Wide49%82%82%88.8%±2.462% ▲
Body7%61%68%66.3%±8.70% ▼
T44%77%75%79.9%±3.538% ▼

Optimal v Feliciano Lopez: +1.5±0.5 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.6 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.

Feliciano Lopez returning

1st serve to the forehand

ReturnNowTourOwnv ReillyValue
FH through the middle39%+4.3−2.1+1.2+3.4±2.1
FH crosscourt31%+5.5−0.8+4.4+9.1±3.9
FH slice through the middle13%−4.2+0.7−0.3−3.8±2.0
FH down the line10%+1.7−5.6+1.7−2.2±4.3
FH slice crosscourt6%−4.3+2.1−1.9−4.1±2.9

Lean FH crosscourt: +6.0±2.8 per 100 returns v the current mix (789 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ReillyValue
BH slice through the middle45%−4.2±0.0−1.5−5.8±1.8
BH slice crosscourt24%+0.5−4.0−1.1−4.5±2.7
BH through the middle11%+6.4−1.1+0.8+6.1±2.3
BH slice down the line10%−8.4+2.4−1.8−7.9±3.4
BH crosscourt5%+8.8−7.2−2.0−0.4±3.6

Lean BH through the middle: +9.8±2.4 per 100 returns v the current mix (1039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ReillyValue
FH through the middle49%−3.5−2.4−1.3−7.2±2.4
FH crosscourt32%−0.2−2.9−0.2−3.3±4.3
FH down the line13%−1.8−4.7−0.2−6.7±4.7
FH slice through the middle4%−12.7−1.6−1.7−16.0±2.1
FH slice crosscourt2%−12.5+0.3±0.0−12.1±2.4

Lean FH crosscourt: +3.0±3.2 per 100 returns v the current mix (325 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ReillyValue
BH slice through the middle34%−11.3+0.7−2.8−13.3±2.2
BH slice crosscourt20%−4.0−3.5+0.2−7.4±2.1
BH through the middle17%−2.9−1.8−1.1−5.7±2.1
BH crosscourt9%+1.0−0.8−0.1+0.1±3.3
BH slice down the line7%−9.3+2.3−3.2−10.2±4.3

Lean BH crosscourt: +8.1±3.1 per 100 returns v the current mix (513 returns charted)

Reilly Opelka returning

1st serve to the forehand

ReturnNowTourOwnv FelicianoValue
FH through the middle41%+4.3−3.8−4.8−4.3±2.1
FH down the line21%+1.7−0.8−5.2−4.3±4.1
FH slice through the middle16%−4.2−2.6−3.1−10.0±2.1
FH crosscourt13%+5.5−1.9+0.1+3.7±4.0
FH slice down the line4%−4.3+1.2−1.8−4.9±3.1

Lean FH crosscourt: +7.8±3.7 per 100 returns v the current mix (809 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FelicianoValue
BH through the middle57%+6.4−2.2−0.4+3.9±1.8
BH crosscourt24%+8.8−2.2+3.9+10.5±3.1
BH slice through the middle7%−4.2−1.9−1.7−7.7±2.2
BH down the line7%+4.2+2.8−2.7+4.3±4.2
BH slice crosscourt3%+0.5−1.7+1.3+0.1±2.9

Lean BH crosscourt: +6.3±2.6 per 100 returns v the current mix (713 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv FelicianoValue
FH through the middle43%−3.5−4.5−1.3−9.2±2.4
FH down the line31%−1.8−4.5−5.0−11.2±4.7
FH crosscourt15%−0.2−5.8+0.3−5.7±4.2
FH slice through the middle6%−12.7+0.1+0.2−12.4±2.2
BH through the middle3%+0.1−0.5−0.7−1.1±1.2

Lean FH crosscourt: +3.6±4.0 per 100 returns v the current mix (219 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv FelicianoValue
BH through the middle53%−2.9−2.9−0.7−6.5±1.7
BH crosscourt34%+1.0−3.5−3.6−6.0±2.6
BH down the line9%−0.2−1.5−1.8−3.6±4.6
FH through the middle2%−2.9+0.3−1.3−3.8±1.8
FH inside-out2%+1.0+0.7−5.0−3.3±3.2

Lean BH down the line: +2.4±4.4 per 100 returns v the current mix (482 returns charted, inside the 90% margin)

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.

Feliciano Lopez

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+3.2±6.8−3.1+6.3
BH slice to the middle · serve +1+1.7±4.0+1.8−0.1
FH to their backhand · return+1.7±4.5−2.6+4.2
BH slice to the middle · rally+0.4±2.2+1.0−0.5
BH slice to their backhand · return +1+0.3±3.4+1.3−1.0
FH to the middle · return +1+0.1±3.1−1.4+1.4

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−11.9±6.6−7.3−4.6
BH slice to their backhand · return−8.3±3.6−4.5−3.8
BH to their backhand · rally−5.8±3.2−6.2+0.4
BH to their forehand · return−5.6±5.9−4.8−0.8
BH to the middle · return +1−5.4±3.0−4.9−0.5

Reilly Opelka

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+1.9±4.5+3.7−1.8
FH to the middle · serve +1−1.4±2.9+1.9−3.3
BH slice to the middle · rally−1.4±2.9−2.1+0.7
FH to their backhand · return +1−2.1±3.9−3.6+1.5
BH to the middle · return +1−2.4±2.7−2.8+0.4
FH to their forehand · serve +1−3.0±3.2−2.0−1.0

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · return +1−17.5±3.9−9.7−7.8
FH to their forehand · return−12.3±5.4−3.5−8.8
FH slice to the middle · return−9.8±2.8−5.1−4.7
FH to the middle · return−8.0±2.1−4.3−3.7
FH to the middle · return +1−7.8±3.3−7.7−0.2

Against Reilly Opelka-like opponents

Feliciano Lopez vMatchesServe pts wonReturn pts won
All charted opponents–65.1%28.7%

Similar by tactical fingerprint: Arthur Rinderknech, Zhizhen Zhang, Zizou Bergs, Giovanni Mpetshi Perricard, Gabriel Diallo, Nicolas Jarry, Milos Raonic, John Isner, Sam Querrey, Lukas Rosol. When two players have rarely met, their records against these lookalikes fill the gap.