RallyIQ

Game plan

Albert Ramos v Juncheng Shang

Every number combines what Albert Ramos does well with what Juncheng Shang 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 43%90%: 17%–73% · best of 5: 42%
Serve points won 61.8% / 63.1% Albert / Juncheng · tour 63.4%
Strengths only, no similarity priors 40%serve 61.7% / 63.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Albert Ramos's record against Juncheng Shang's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.9 on serve, +5.5 on return vs expectation (391 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

CareerAlbertJuncheng
Direction choice+0.07 ±0.10
better than 76%
−0.21 ±0.13
better than 13%
Shot selection+0.07 ±0.17
better than 61%
+0.51 ±0.30
better than 94%
Execution+0.14 ±0.35
better than 74%
−0.47 ±0.59
better than 46%
Points left on the table2.58 ±0.15
lower than 50%
3.00 ±0.24
lower than 19%

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.

Albert Ramos serving

Deuce court

1st serveNowAlbert winsv JunchengMatchupOptimal
Wide31%68%70%65.6%±8.435% ▲
Body10%60%65%62.6%±13.10% ▼
T60%61%78%65.1%±7.965% ▲

Optimal v Juncheng Shang: +0.2±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlbert winsv JunchengMatchupOptimal
Wide60%65%69%59.9%±8.356% ▼
Body8%61%63%60.6%±12.40% ▼
T31%69%73%70.8%±8.544% ▲

Optimal v Juncheng Shang: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.4 per 100 first serves in before the returner adjusts.

Juncheng Shang serving

Deuce court

1st serveNowJuncheng winsv AlbertMatchupOptimal
Wide35%74%74%75.2%±7.648% ▲
Body13%60%71%68.7%±11.20% ▼
T52%67%76%68.3%±7.652%

Optimal v Albert Ramos: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJuncheng winsv AlbertMatchupOptimal
Wide55%65%70%61.4%±7.842% ▼
Body16%68%58%64.1%±11.416%
T29%72%73%73.1%±9.042% ▲

Optimal v Albert Ramos: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.0 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 JunchengValue
FH through the middle40%+4.3+1.2+1.0+6.4±2.9
FH crosscourt33%+5.5+3.8+1.2+10.5±4.2
FH down the line11%+1.7+1.2−0.2+2.7±4.3
FH slice through the middle7%−4.2−2.1−1.2−7.6±2.2
FH slice crosscourt5%−4.3+0.3±0.0−4.0±1.8

Lean FH crosscourt: +4.9±3.1 per 100 returns v the current mix (339 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JunchengValue
BH through the middle44%+6.4±0.0+3.5+9.8±2.4
BH crosscourt18%+8.8−1.5−0.2+7.1±3.5
BH slice through the middle17%−4.2−2.1+0.2−6.1±2.4
BH down the line11%+4.2+1.6+4.4+10.2±4.6
BH slice crosscourt5%+0.5−2.2−2.5−4.2±2.8

Lean BH down the line: +5.0±4.3 per 100 returns v the current mix (504 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JunchengValue
FH crosscourt47%−0.2+0.7−0.6−0.1±4.3
FH through the middle44%−3.5±0.0−0.3−3.7±2.9
FH down the line9%−1.8+0.8−2.2−3.2±4.2

Lean FH crosscourt: +1.9±2.7 per 100 returns v the current mix (129 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JunchengValue
BH through the middle42%−2.9+0.2+1.1−1.6±2.4
BH crosscourt23%+1.0−0.8+1.5+1.7±3.3
FH through the middle14%−2.9+1.2−0.3−1.9±2.4
FH inside-in8%+0.6−0.8−0.6−0.8±4.2
BH down the line7%−0.2−1.2+0.4−1.0±4.8

Lean BH crosscourt: +2.4±2.8 per 100 returns v the current mix (314 returns charted, inside the 90% margin)

Juncheng Shang returning

1st serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle53%+4.3+1.4−0.1+5.5±2.8
FH down the line20%+1.7−0.5+3.8+5.0±4.4
FH crosscourt16%+5.5+1.6−2.7+4.4±4.3
FH slice through the middle7%−4.2−1.0+0.6−4.6±2.1
FH slice crosscourt4%−4.3−0.5±0.0−4.9±1.3

Lean FH through the middle: +1.4±1.7 per 100 returns v the current mix (166 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle46%+6.4+0.8+1.7+8.9±2.4
BH crosscourt26%+8.8+0.5−1.0+8.4±3.4
BH down the line14%+4.2−1.7+2.5+5.0±4.2
BH slice through the middle10%−4.2−1.3+0.9−4.6±2.3
BH slice down the line4%−8.4−0.2+0.4−8.2±2.7

Lean BH through the middle: +2.7±1.7 per 100 returns v the current mix (175 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle60%−3.5+1.2+0.4−1.9±2.8
FH crosscourt32%−0.2−2.2+2.6+0.1±4.2
FH down the line8%−1.8−1.2+0.5−2.4±3.8

Lean FH crosscourt: +1.4±3.3 per 100 returns v the current mix (65 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle52%−2.9−0.7−0.3−3.9±2.3
BH crosscourt20%+1.0+2.3+1.3+4.6±3.2
BH down the line18%−0.2+1.3+0.6+1.8±4.7
FH inside-in5%+0.6−1.9+2.6+1.2±3.7
FH through the middle5%−2.9+0.4+0.4−2.1±1.9

Lean BH crosscourt: +5.4±3.0 per 100 returns v the current mix (132 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.

Albert Ramos

Favour

ShotEdgeOwnTheirs
BH to the middle · return+4.8±2.0+1.1+3.7
BH to their forehand · rally+4.5±3.3+2.6+1.9
BH to their forehand · return+3.4±4.2+0.4+3.0
BH to the middle · rally+3.2±1.8+1.0+2.2
FH to their backhand · rally+3.2±2.2+2.1+1.1
BH to the middle · return +1+1.4±2.4+1.3+0.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−5.1±3.4−3.8−1.3
FH to their forehand · return +1−3.7±4.3−2.6−1.1
FH to their backhand · serve +1−3.4±3.0−0.9−2.5
BH slice to their backhand · rally−2.3±2.5−2.1−0.2
BH to their backhand · rally−1.0±2.3−1.6+0.5

Juncheng Shang

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+5.9±3.0+4.6+1.3
BH to their forehand · return+4.0±4.1+1.6+2.4
BH to the middle · return+2.6±2.0+0.7+1.9
BH to their backhand · return+1.9±3.1+0.7+1.2
FH to their backhand · rally+1.5±2.0+1.0+0.6
BH to the middle · rally+1.5±1.7+1.9−0.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · serve +1−1.7±2.7−0.2−1.5
BH to their forehand · serve +1−1.6±4.7−2.7+1.1
FH to their forehand · return−1.2±4.6−0.8−0.4
FH to the middle · rally−0.8±1.9±0.0−0.8
FH to their forehand · rally−0.4±2.6−1.9+1.5

Against Juncheng Shang-like opponents

Albert Ramos vMatchesServe pts wonReturn pts won
All charted opponents–58.7%35.3%
Players most similar to Juncheng Shang2 64.1%41.1%

Similar by tactical fingerprint: Cameron Norrie, Luciano Darderi, Thiago Monteiro, Daniel Elahi Galan, Cristian Garin, Federico Delbonis, Pablo Cuevas, Philipp Kohlschreiber, Nicolas Massu. When two players have rarely met, their records against these lookalikes fill the gap.