RallyIQ

Game plan

Roberto Carballes Baena v Juan Monaco

Every number combines what Roberto Carballes Baena does well with what Juan Monaco allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Roberto Carballes Baena wins, best of 3 69%90%: 35%–91% · best of 5: 73%
Serve points won 64.7% / 60.8% Roberto / Juan · tour 65.7%
Strengths only, no similarity priors 69%serve 64.7% / 60.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerRobertoJuan
Direction choice−0.06 ±0.09
better than 41%
−0.31 ±0.16
better than 5%
Shot selection+0.14 ±0.19
better than 68%
−0.11 ±0.37
better than 39%
Execution+0.70 ±0.38
better than 89%
−0.51 ±0.69
better than 44%

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.

Roberto Carballes Baena serving

Deuce court

1st serveNowRoberto winsv JuanMatchupOptimal
Wide46%68%79%74.3%±8.759% ▲
Body12%56%69%62.6%±14.60% ▼
T42%72%80%78.2%±8.641%

Optimal v Juan Monaco: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberto winsv JuanMatchupOptimal
Wide61%63%74%63.8%±10.048% ▼
Body15%61%59%57.2%±15.414%
T25%63%71%61.5%±12.238% ▲

Optimal v Juan Monaco: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.5 per 100 first serves in before the returner adjusts.

Juan Monaco serving

Deuce court

1st serveNowJuan winsv RobertoMatchupOptimal
Wide26%64%71%61.2%±11.439% ▲
Body13%62%62%61.1%±15.10% ▼
T61%59%75%59.1%±9.761%

Optimal v Roberto Carballes Baena: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJuan winsv RobertoMatchupOptimal
Wide71%57%73%57.7%±9.358% ▼
Body13%65%63%64.6%±15.413%
T16%64%73%65.0%±12.829% ▲

Optimal v Roberto Carballes Baena: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.2 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.

Roberto Carballes Baena returning

1st serve to the forehand

ReturnNowTourOwnv JuanValue
FH through the middle48%+4.3+1.9+1.0+7.1±2.6
FH down the line28%+1.7+2.6±0.0+4.3±3.8
FH crosscourt10%+5.5+0.3−1.2+4.6±3.8
FH slice through the middle9%−4.2−0.8±0.0−5.0±1.7
FH slice down the line4%−4.3+1.3±0.0−2.9±2.0

Lean FH through the middle: +2.7±1.8 per 100 returns v the current mix (452 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JuanValue
BH through the middle44%+6.4+0.1+1.3+7.8±2.6
BH crosscourt37%+8.8+2.0+1.6+12.4±3.4
BH slice through the middle9%−4.2+0.4+1.1−2.7±2.3
BH down the line8%+4.2+0.4+6.1+10.7±4.3
BH slice crosscourt3%+0.5−0.1+1.1+1.5±2.6

Lean BH crosscourt: +3.8±2.5 per 100 returns v the current mix (393 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JuanValue
FH through the middle45%−3.5+0.9±0.0−2.6±2.0
FH down the line43%−1.8−0.8±0.0−2.6±3.3
FH crosscourt13%−0.2+1.0−1.4−0.5±3.3

Lean FH crosscourt: +1.8±3.4 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JuanValue
BH crosscourt38%+1.0−0.9+2.4+2.5±3.0
BH through the middle33%−2.9+0.9−0.8−2.8±2.4
FH inside-out11%+1.0−0.1±0.0+0.8±2.6
FH through the middle11%−2.9+0.9±0.0−2.0±1.7
BH down the line4%−0.2−0.3−0.8−1.3±3.7

Lean BH crosscourt: +2.7±2.1 per 100 returns v the current mix (297 returns charted)

Juan Monaco returning

1st serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle57%+4.3+0.4+1.6+6.3±2.7
FH down the line32%+1.7+1.6−1.2+2.1±4.3
FH crosscourt11%+5.5−0.9+3.3+7.9±3.7

Lean FH through the middle: +1.2±1.9 per 100 returns v the current mix (65 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle35%+6.4+0.5+1.3+8.2±2.4
BH crosscourt22%+8.8+1.5+0.6+11.0±3.0
BH slice through the middle19%−4.2−0.6−1.2−6.1±2.3
BH slice crosscourt13%+0.5−0.4−2.1−2.1±2.6
BH down the line12%+4.2+0.8−1.0+4.0±3.9

Lean BH crosscourt: +6.7±2.6 per 100 returns v the current mix (69 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RobertoValue
BH crosscourt54%+1.0+1.3+0.6+2.9±3.1
BH through the middle34%−2.9+0.2+1.1−1.5±2.3
BH down the line13%−0.2+0.9−2.4−1.7±4.2

Lean BH crosscourt: +2.1±1.7 per 100 returns v the current mix (56 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 on grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Roberto Carballes Baena

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+5.5±3.0+1.7+3.8
FH to their forehand · rally+4.1±2.8+2.9+1.2
BH to the middle · rally+2.7±2.0+1.8+0.9
BH to the middle · return+2.6±2.4+0.8+1.8
BH to their forehand · rally+2.5±4.1+0.4+2.1
FH to the middle · rally+2.0±2.2+2.6−0.6

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−0.9±2.1+1.6−2.5
FH to their backhand · serve +1−0.2±3.3−0.9+0.7
FH to their backhand · rally−0.2±2.7+1.6−1.8
FH to their forehand · serve +1+0.9±3.8−0.4+1.3
FH to the middle · rally+2.0±2.2+2.6−0.6

Juan Monaco

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.8±2.9+1.8+2.0
BH to the middle · return+3.6±2.4+0.8+2.7
FH to their backhand · rally+1.0±2.5−1.5+2.5
BH to their backhand · rally+0.8±2.2−0.8+1.6
FH to the middle · rally+0.1±2.2−0.6+0.7
FH to their backhand · serve +1−0.7±3.4−3.9+3.3

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−1.0±2.0−0.3−0.7
FH to their backhand · serve +1−0.7±3.4−3.9+3.3
FH to the middle · rally+0.1±2.2−0.6+0.7
BH to their backhand · rally+0.8±2.2−0.8+1.6
FH to their backhand · rally+1.0±2.5−1.5+2.5

Against Juan Monaco-like opponents

Roberto Carballes Baena vMatchesServe pts wonReturn pts won
All charted opponents–58.8%35.6%