RallyIQ

Game plan

Albert Ramos v Reilly Opelka

Every number combines what Albert Ramos 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

Albert Ramos wins, best of 3 47%90%: 25%–70% · best of 5: 47%
Serve points won 67.8% / 68.3% Albert / Reilly · tour 63.4%
Strengths only, no similarity priors 47%serve 67.8% / 68.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Albert Ramos'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

CareerAlbertReilly
Direction choice+0.07 ±0.10
better than 76%
−0.19 ±0.11
better than 16%
Shot selection+0.07 ±0.17
better than 61%
+0.14 ±0.11
better than 69%
Execution+0.14 ±0.35
better than 74%
−1.23 ±0.68
better than 18%
Points left on the table2.58 ±0.15
lower than 50%
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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Albert Ramos +0.22, Reilly Opelka −2.87. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Albert Ramos serving

Deuce court

1st serveNowAlbert winsv ReillyMatchupOptimal
Wide31%68%80%76.7%±5.344% ▲
Body10%60%70%67.2%±9.00% ▼
T60%61%83%72.5%±4.856% ▼

Optimal v Reilly Opelka: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlbert winsv ReillyMatchupOptimal
Wide60%65%81%74.7%±4.556% ▼
Body8%61%72%70.2%±9.20% ▼
T31%69%80%78.2%±5.244% ▲

Optimal v Reilly Opelka: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Reilly Opelka serving

Deuce court

1st serveNowReilly winsv AlbertMatchupOptimal
Wide50%77%74%78.1%±4.063% ▲
Body9%62%71%70.3%±9.20% ▼
T41%80%76%81.6%±4.337% ▼

Optimal v Albert Ramos: +0.8±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowReilly winsv AlbertMatchupOptimal
Wide49%82%70%79.9%±4.443% ▼
Body7%61%58%55.9%±10.60% ▼
T44%77%73%77.7%±4.657% ▲

Optimal v Albert Ramos: +1.0±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.6 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.

Albert Ramos returning

1st serve to the forehand

ReturnNowTourOwnv ReillyValue
FH through the middle40%+4.3+1.2+1.2+6.6±2.5
FH crosscourt33%+5.5+3.8+4.4+13.7±4.2
FH down the line11%+1.7+1.2+1.7+4.6±4.3
FH slice through the middle7%−4.2−2.1−0.3−6.6±2.0
FH slice crosscourt5%−4.3+0.3−1.9−5.9±2.7

Lean FH crosscourt: +6.8±3.0 per 100 returns v the current mix (339 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ReillyValue
BH through the middle44%+6.4±0.0+0.8+7.1±2.1
BH crosscourt18%+8.8−1.5−2.0+5.3±3.5
BH slice through the middle17%−4.2−2.1−1.5−7.8±2.3
BH down the line11%+4.2+1.6+0.3+6.1±4.5
BH slice crosscourt5%+0.5−2.2−1.1−2.8±2.9

Lean BH through the middle: +4.2±1.5 per 100 returns v the current mix (504 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ReillyValue
FH crosscourt47%−0.2+0.7−0.2+0.3±4.4
FH through the middle44%−3.5±0.0−1.3−4.8±2.7
FH down the line9%−1.8+0.8−0.2−1.2±4.3

Lean FH crosscourt: +2.4±2.7 per 100 returns v the current mix (129 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ReillyValue
BH through the middle42%−2.9+0.2−1.1−3.8±2.0
BH crosscourt23%+1.0−0.8−0.1+0.1±3.2
FH through the middle14%−2.9+1.2−1.3−3.0±2.2
FH inside-in8%+0.6−0.8−0.2−0.4±4.3
BH down the line7%−0.2−1.2−2.1−3.5±4.5
FH inside-out5%+1.0+0.4−0.2+1.1±3.5

Lean FH inside-out: +3.3±3.5 per 100 returns v the current mix (314 returns charted, inside the 90% margin)

Reilly Opelka returning

1st serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle41%+4.3−3.8−0.1+0.4±2.4
FH down the line21%+1.7−0.8−2.7−1.8±4.2
FH slice through the middle16%−4.2−2.6+0.6−6.2±2.2
FH crosscourt13%+5.5−1.9+3.8+7.3±4.2
FH slice down the line4%−4.3+1.2±0.0−3.0±2.2

Lean FH crosscourt: +7.8±3.8 per 100 returns v the current mix (809 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle57%+6.4−2.2+1.7+6.0±1.9
BH crosscourt24%+8.8−2.2+2.5+9.1±3.1
BH slice through the middle7%−4.2−1.9+0.9−5.2±2.5
BH down the line7%+4.2+2.8−1.0+6.1±4.4
BH slice crosscourt3%+0.5−1.7+0.4−0.8±2.7

Lean BH crosscourt: +3.7±2.6 per 100 returns v the current mix (713 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle43%−3.5−4.5+0.4−7.6±2.7
FH down the line31%−1.8−4.5+2.6−3.7±4.7
FH crosscourt15%−0.2−5.8+0.5−5.5±4.3
FH slice through the middle6%−12.7+0.1±0.0−12.6±1.4
BH through the middle3%+0.1−0.5−0.3−0.7±1.5

Lean FH down the line: +2.5±3.5 per 100 returns v the current mix (219 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle53%−2.9−2.9−0.3−6.1±2.0
BH crosscourt34%+1.0−3.5+0.6−1.8±3.0
BH down the line9%−0.2−1.5+1.3−0.4±5.0
FH through the middle2%−2.9+0.3+0.4−2.2±2.1
FH inside-out2%+1.0+0.7+2.6+4.2±3.2

Lean BH down the line: +3.4±4.8 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.

Albert Ramos

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+6.7±3.5+3.5+3.2
BH to their forehand · rally+5.0±3.1+2.6+2.3
BH to their forehand · return +1+2.8±4.8−1.0+3.8
BH to their backhand · return +1+1.3±3.3−1.6+2.9
FH to their forehand · return+1.1±4.2−0.5+1.6
FH to the middle · return +1+0.8±2.6+0.2+0.6

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−5.3±4.5−2.7−2.5
BH slice to the middle · return−4.7±2.2−1.5−3.2
BH slice to their backhand · rally−4.3±2.3−2.1−2.2
BH to their backhand · serve +1−3.8±3.1−3.4−0.4
FH to their backhand · serve +1−2.2±2.3−0.9−1.3

Reilly Opelka

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+2.6±3.6+0.3+2.4
FH to the middle · serve +1+1.0±2.3+0.7+0.3
FH to their forehand · serve +1+0.5±2.8−2.5+3.0
BH to the middle · return−1.0±1.4−2.9+1.9
FH to their backhand · return +1−1.6±3.1−2.8+1.3
FH to their backhand · serve +1−1.7±2.4−2.6+0.9

Avoid

ShotEdgeOwnTheirs
FH to the middle · return +1−8.5±2.5−5.8−2.6
BH to their forehand · return +1−7.4±4.2−7.1−0.3
FH to the middle · rally−5.7±1.8−5.0−0.8
BH to their backhand · return +1−5.7±3.1−6.0+0.3
FH to their forehand · return +1−5.4±3.7−6.8+1.4

Against Reilly Opelka-like opponents

Albert Ramos vMatchesServe pts wonReturn pts won
All charted opponents–58.7%35.3%

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.