RallyIQ

Game plan

Juan Carlos Prado Angelo v Carlos Berlocq

Every number combines what Juan Carlos Prado Angelo does well with what Carlos Berlocq allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Juan Carlos Prado Angelo wins, best of 3 53%90%: 18%–86% · best of 5: 54%
Serve points won 59.4% / 58.8% Juan / Carlos · tour 63.4%
Strengths only, no similarity priors 53%serve 59.4% / 58.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Juan Carlos Prado Angelo's record against Carlos Berlocq'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

CareerJuanCarlos
Direction choice−0.03 ±0.13
better than 48%
−0.20 ±0.17
better than 14%
Shot selection+0.49 ±0.18
better than 92%
−0.21 ±0.26
better than 29%
Execution−1.24 ±0.54
better than 17%
+0.88 ±0.90
better than 94%
Points left on the table2.38 ±0.15
lower than 75%
2.77 ±0.21
lower than 34%

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.

Juan Carlos Prado Angelo serving

Deuce court

1st serveNowJuan winsv CarlosMatchupOptimal
Wide27%69%72%68.6%±11.240% ▲
Body2%65%57%58.3%±17.82%
T71%64%70%58.5%±10.458% ▼

Optimal v Carlos Berlocq: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJuan winsv CarlosMatchupOptimal
Wide54%67%69%63.6%±10.167% ▲
Body1%65%61%63.4%±18.11%
T45%63%69%59.5%±13.032% ▼

Optimal v Carlos Berlocq: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.9 per 100 first serves in before the returner adjusts.

Carlos Berlocq serving

Deuce court

1st serveNowCarlos winsv JuanMatchupOptimal
Wide47%68%70%64.2%±10.647%
Body24%57%64%57.6%±17.310% ▼
T29%76%67%68.8%±10.743% ▲

Optimal v Juan Carlos Prado Angelo: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarlos winsv JuanMatchupOptimal
Wide46%70%65%61.5%±10.533% ▼
Body13%65%66%68.1%±16.314%
T40%67%69%63.8%±11.453% ▲

Optimal v Juan Carlos Prado Angelo: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +4.8 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.

Juan Carlos Prado Angelo returning

1st serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle60%+4.3+2.8+1.6+8.7±3.1
FH crosscourt24%+5.5+3.1+1.0+9.6±3.7
FH down the line16%+1.7+2.4+1.8+5.9±4.1

Lean FH crosscourt: +1.2±3.4 per 100 returns v the current mix (94 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle52%+6.4+2.8+1.1+10.3±2.7
BH crosscourt31%+8.8+3.1+0.6+12.5±3.6
BH down the line15%+4.2+3.7−0.9+6.9±4.2
BH slice through the middle3%−4.2+0.2−0.1−4.1±1.9

Lean BH crosscourt: +2.4±2.9 per 100 returns v the current mix (185 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle38%−2.9+0.7+1.0−1.2±2.6
BH crosscourt22%+1.0−2.2−2.2−3.4±3.2
FH through the middle16%−2.9−0.4+1.9−1.3±2.4
BH down the line9%−0.2−2.2−0.2−2.6±4.1
FH inside-out8%+1.0−1.8+2.3+1.5±3.2

Lean BH through the middle: +0.3±1.9 per 100 returns v the current mix (141 returns charted, inside the 90% margin)

Carlos Berlocq returning

1st serve to the forehand

ReturnNowTourOwnv JuanValue
FH through the middle57%+4.3+2.7+2.8+9.8±3.1
FH crosscourt27%+5.5+1.7+1.8+9.0±4.0
FH down the line16%+1.7+2.4+2.2+6.2±3.8

Lean FH through the middle: +0.8±1.8 per 100 returns v the current mix (108 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JuanValue
BH through the middle35%+6.4+0.6+3.6+10.5±2.8
BH slice through the middle28%−4.2+1.9+0.4−1.9±2.0
BH slice crosscourt13%+0.5+1.4±0.0+1.9±2.0
BH crosscourt12%+8.8+2.5+3.4+14.7±3.4
BH down the line9%+4.2+1.5+3.5+9.2±4.2

Lean BH crosscourt: +8.9±3.3 per 100 returns v the current mix (167 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JuanValue
BH through the middle48%−2.9+1.1−1.0−2.8±2.6
BH crosscourt31%+1.0+0.8+1.1+2.9±3.3
BH down the line12%−0.2−1.5+0.6−1.0±4.3
FH through the middle6%−2.9+0.1±0.0−2.8±2.1
FH inside-out4%+1.0+0.6+2.1+3.7±2.9

Lean BH crosscourt: +3.5±2.6 per 100 returns v the current mix (130 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.

Juan Carlos Prado Angelo

Favour

ShotEdgeOwnTheirs
BH to the middle · return+5.6±2.4+3.2+2.3
BH to their forehand · rally+4.8±4.3+2.1+2.7
FH to the middle · return+3.2±2.9+1.5+1.7
BH to the middle · rally+3.2±2.0+2.5+0.6
BH to their backhand · return+2.5±3.4+2.3+0.1
FH to the middle · serve +1+1.7±2.8+0.9+0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−0.7±2.3−1.0+0.3
FH to their forehand · rally−0.6±2.9−0.9+0.2
FH to their backhand · serve +1−0.1±3.6−1.3+1.2
FH to their backhand · rally+0.5±2.7−1.1+1.6
FH to their forehand · serve +1+0.6±4.0−1.0+1.5

Carlos Berlocq

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+4.3±3.3+1.2+3.1
BH to the middle · return+4.0±2.5+1.3+2.7
FH to the middle · rally+3.9±2.3+0.6+3.3
FH to the middle · return+3.3±2.8+2.1+1.2
FH to their backhand · rally+3.1±2.5+2.3+0.9
BH to the middle · rally+3.0±2.0+1.5+1.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−1.4±4.0−0.9−0.5
FH to their backhand · serve +1−1.3±3.5−0.4−0.9
BH to their forehand · rally−0.6±4.4+2.0−2.6
FH to their backhand · return +1+0.7±4.1+0.7±0.0
FH to their forehand · rally+1.4±3.1−0.7+2.2

Against Carlos Berlocq-like opponents

Juan Carlos Prado Angelo vMatchesServe pts wonReturn pts won
All charted opponents–57.1%40.6%

Similar by tactical fingerprint: Tomas Martin Etcheverry, Novak Djokovic, Jaume Munar, Pablo Carreno Busta, Miomir Kecmanovic, Diego Schwartzman, Pablo Andujar, Ilya Ivashka, David Ferrer, Guillermo Coria. When two players have rarely met, their records against these lookalikes fill the gap.