RallyIQ

Game plan

Marin Cilic v Roberto Carballes Baena

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

Forecast

Marin Cilic wins, best of 3 72%90%: 53%–86% · best of 5: 77%
Serve points won 66.2% / 61.6% Marin / Roberto · tour 61.3%
Strengths only, no similarity priors 72%serve 66.1% / 61.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Marin Cilic's record against Roberto Carballes Baena's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.3 on serve, −0.3 on return vs expectation (1705 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

CareerMarinRoberto
Direction choice+0.14 ±0.05
better than 87%
−0.06 ±0.09
better than 41%
Shot selection+0.28 ±0.08
better than 78%
+0.14 ±0.19
better than 68%
Execution−1.01 ±0.32
better than 25%
+0.70 ±0.38
better than 89%
Points left on the table2.18 ±0.08
lower than 93%
2.61 ±0.12
lower than 48%

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: Marin Cilic −0.27, Roberto Carballes Baena +1.22. 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.

Marin Cilic serving

Deuce court

1st serveNowMarin winsv RobertoMatchupOptimal
Wide50%73%71%70.4%±4.644% ▼
Body4%58%62%56.9%±11.80% ▼
T46%80%75%80.6%±4.356% ▲

Optimal v Roberto Carballes Baena: +0.2±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarin winsv RobertoMatchupOptimal
Wide53%76%73%76.1%±4.566% ▲
Body7%63%63%62.4%±11.70% ▼
T40%76%73%76.8%±4.834% ▼

Optimal v Roberto Carballes Baena: +0.3±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.4 per 100 first serves in before the returner adjusts.

Roberto Carballes Baena serving

Deuce court

1st serveNowRoberto winsv MarinMatchupOptimal
Wide46%68%74%68.6%±4.759% ▲
Body12%56%67%60.9%±8.50% ▼
T42%72%74%71.4%±5.241%

Optimal v Marin Cilic: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberto winsv MarinMatchupOptimal
Wide61%63%76%66.5%±4.660%
Body15%61%59%57.2%±8.92% ▼
T25%63%71%62.3%±6.838% ▲

Optimal v Marin Cilic: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 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.

Marin Cilic returning

1st serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle54%+4.3−0.2+1.6+5.6±1.9
FH crosscourt24%+5.5−1.8+3.3+7.0±3.6
FH down the line21%+1.7−1.0−1.2−0.5±3.8
FH slice through the middle1%−4.2+1.3−0.6−3.6±2.1
FH slice crosscourt0%−4.3+0.1−1.2−5.4±1.9

Lean FH crosscourt: +2.5±3.1 per 100 returns v the current mix (1630 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle42%+6.4±0.0+1.3+7.8±1.8
BH crosscourt31%+8.8−4.3+0.6+5.1±2.6
BH slice through the middle10%−4.2−4.5−1.2−9.9±2.3
BH down the line8%+4.2+4.7−1.0+7.9±4.3
BH slice crosscourt8%+0.5−4.3−2.1−5.9±2.9

Lean BH down the line: +4.0±4.1 per 100 returns v the current mix (1619 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle51%−3.5±0.0+0.4−3.1±2.4
FH down the line26%−1.8+1.0±0.0−0.7±4.4
FH crosscourt23%−0.2−1.1+0.8−0.5±4.2

Lean FH crosscourt: +1.4±3.6 per 100 returns v the current mix (484 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RobertoValue
BH crosscourt48%+1.0−2.7+0.6−1.1±2.6
BH through the middle40%−2.9+0.3+1.1−1.5±2.1
BH down the line6%−0.2+0.5−2.4−2.1±5.0
FH inside-in2%+0.6+1.2+0.8+2.6±4.1
FH inside-out2%+1.0+0.7±0.0+1.7±3.4

Lean FH inside-in: +3.9±4.3 per 100 returns v the current mix (924 returns charted, inside the 90% margin)

Roberto Carballes Baena returning

1st serve to the forehand

ReturnNowTourOwnv MarinValue
FH through the middle48%+4.3+1.9−1.4+4.7±2.0
FH down the line28%+1.7+2.6−1.6+2.8±3.7
FH crosscourt10%+5.5+0.3−1.4+4.4±3.9
FH slice through the middle9%−4.2−0.8+0.9−4.0±2.1
FH slice down the line4%−4.3+1.3+1.3−1.7±3.0

Lean FH through the middle: +1.7±1.5 per 100 returns v the current mix (452 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarinValue
BH through the middle44%+6.4+0.1−0.5+6.0±2.1
BH crosscourt37%+8.8+2.0+1.5+12.3±2.9
BH slice through the middle9%−4.2+0.4±0.0−3.8±2.1
BH down the line8%+4.2+0.4+0.1+4.7±4.3
BH slice crosscourt3%+0.5−0.1+1.2+1.6±2.5

Lean BH crosscourt: +5.1±2.1 per 100 returns v the current mix (393 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarinValue
FH through the middle45%−3.5+0.9+0.8−1.7±2.4
FH down the line43%−1.8−0.8+1.0−1.5±4.2
FH crosscourt13%−0.2+1.0−1.5−0.7±3.8

Lean FH crosscourt: +0.8±4.0 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarinValue
BH crosscourt38%+1.0−0.9+0.2+0.3±2.4
BH through the middle33%−2.9+0.9−0.6−2.6±1.9
FH inside-out11%+1.0−0.1+1.0+1.8±3.3
FH through the middle11%−2.9+0.9+0.8−1.1±2.0
BH down the line4%−0.2−0.3+1.2+0.7±3.8

Lean FH inside-out: +2.6±3.2 per 100 returns v the current mix (297 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Marin Cilic

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+5.5±4.2+0.8+4.7
BH to the middle · return+4.0±2.0+0.7+3.4
FH to their backhand · serve +1+3.5±3.1−0.8+4.3
FH to their forehand · serve +1+2.7±3.6+0.3+2.4
BH to the middle · return +1+2.2±2.9+0.4+1.8
BH to their forehand · return +1+1.7±6.3−0.8+2.5

Avoid

ShotEdgeOwnTheirs
BH to the middle · serve +1−7.5±3.2−8.0+0.5
BH slice to their backhand · return−6.6±3.8−4.1−2.5
FH volley to their forehand · rally−5.6±8.1−8.8+3.2
BH slice to the middle · rally−3.6±3.0−3.6±0.0
FH to the middle · serve +1−2.8±3.2−3.1+0.3

Roberto Carballes Baena

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+4.5±4.9+0.5+3.9
FH to the middle · rally+3.1±2.1+3.2−0.1
BH to the middle · return +1+3.0±2.9+1.9+1.1
FH slice to their backhand · rally+2.9±5.3+2.9±0.0
FH to their forehand · rally+2.8±2.7+2.8+0.1
FH to their backhand · return +1+2.8±4.5+0.7+2.1

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−3.5±4.9−1.7−1.8
BH to the middle · return−3.2±2.2+0.2−3.4
FH to their backhand · return−2.9±3.7−0.1−2.7
BH slice to the middle · rally−2.8±2.9−0.5−2.3
BH to the middle · serve +1−1.9±3.1+0.9−2.8

Against Roberto Carballes Baena-like opponents

Marin Cilic vMatchesServe pts wonReturn pts won
All charted opponents–63.5%34.3%
Players most similar to Roberto Carballes Baena11 61.8%32.5%

Similar by tactical fingerprint: Mariano Navone, Novak Djokovic, Jaume Munar, Roberto Bautista Agut, Pedro Martinez, Bernabe Zapata Miralles, Pablo Andujar, Mikhail Kukushkin, Guillermo Coria, Sergi Bruguera. When two players have rarely met, their records against these lookalikes fill the gap.