RallyIQ

Game plan

Carlos Alcaraz v Roberto Bautista Agut

Every number combines what Carlos Alcaraz does well with what Roberto Bautista Agut allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Carlos Alcaraz wins, best of 3 89%90%: 74%–96% · best of 5: 93%
Serve points won 68.6% / 58.9% Carlos / Roberto · tour 63.4%
Strengths only, no similarity priors 80%serve 66.5% / 59.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Carlos Alcaraz's record against Roberto Bautista Agut's tactical lookalikes and in their charted head-to-heads (lookalikes: +2.9 on serve, +0.4 on return vs expectation (4129 points); head-to-head: +6.7 on serve, +8.0 on return vs expectation (217 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

CareerCarlosRoberto
Direction choice+0.08 ±0.03
better than 77%
+0.03 ±0.06
better than 65%
Shot selection+0.20 ±0.07
better than 73%
+0.08 ±0.08
better than 62%
Execution+0.54 ±0.21
better than 85%
+1.23 ±0.28
better than 98%
Points left on the table2.43 ±0.05
lower than 70%
2.30 ±0.09
lower than 85%

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: Carlos Alcaraz +2.02, Roberto Bautista Agut +0.30. 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.

Carlos Alcaraz serving

Deuce court

1st serveNowCarlos winsv RobertoMatchupOptimal
Wide46%73%74%74.2%±2.659% ▲
Body18%67%60%64.4%±5.74% ▼
T37%77%76%77.4%±2.737%

Optimal v Roberto Bautista Agut: +0.8±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarlos winsv RobertoMatchupOptimal
Wide49%72%77%75.9%±2.659% ▲
Body16%66%53%56.4%±6.93% ▼
T34%72%72%72.5%±3.238% ▲

Optimal v Roberto Bautista Agut: +1.1±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.4 per 100 first serves in before the returner adjusts.

Roberto Bautista Agut serving

Deuce court

1st serveNowRoberto winsv CarlosMatchupOptimal
Wide45%70%66%63.4%±2.958% ▲
Body9%64%61%61.8%±6.28%
T47%72%68%64.6%±3.134% ▼

Optimal v Carlos Alcaraz: +0.2±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberto winsv CarlosMatchupOptimal
Wide56%70%67%63.9%±3.051% ▼
Body9%61%58%55.8%±6.70% ▼
T36%72%65%65.4%±3.449% ▲

Optimal v Carlos Alcaraz: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.6 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.

Carlos Alcaraz returning

1st serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle49%+4.3+1.2+2.6+8.1±1.3
FH crosscourt24%+5.5+1.3−1.2+5.7±2.5
FH down the line14%+1.7+1.2+4.3+7.3±2.9
FH slice through the middle8%−4.2+0.2+2.1−2.0±1.8
FH slice down the line2%−4.3+0.8−0.1−3.6±3.1

Lean FH through the middle: +2.1±1.0 per 100 returns v the current mix (4205 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle40%+6.4+1.0+1.2+8.7±1.1
BH crosscourt34%+8.8+1.5+2.2+12.6±1.8
BH slice through the middle10%−4.2−2.3+3.1−3.4±1.7
BH down the line7%+4.2−0.5+1.3+5.1±3.6
BH slice crosscourt6%+0.5−1.3+1.1+0.3±2.5

Lean BH crosscourt: +5.1±1.3 per 100 returns v the current mix (4723 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle42%−3.5−1.0−0.4−4.8±2.0
FH crosscourt36%−0.2−0.2−1.4−1.9±3.4
FH down the line17%−1.8−1.0+1.5−1.2±4.0
FH slice through the middle2%−12.7−0.8±0.0−13.4±1.6
FH slice down the line1%−9.4−1.6−0.1−11.1±2.2

Lean FH down the line: +2.1±3.7 per 100 returns v the current mix (1132 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RobertoValue
BH crosscourt45%+1.0+0.1+0.2+1.3±1.6
BH through the middle27%−2.9−2.1+2.3−2.6±1.4
BH down the line9%−0.2+1.4+2.5+3.7±4.0
FH through the middle7%−2.9±0.0−0.4−3.3±1.9
FH inside-in5%+0.6−1.5−1.4−2.3±3.9

Lean BH down the line: +4.0±3.7 per 100 returns v the current mix (2787 returns charted)

Roberto Bautista Agut returning

1st serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle47%+4.3+2.4+0.5+7.2±1.4
FH down the line19%+1.7+2.4+1.0+5.1±2.9
FH crosscourt15%+5.5+1.8+0.8+8.1±2.9
FH slice through the middle13%−4.2+0.4−1.5−5.3±1.8
FH slice crosscourt3%−4.3+0.3−0.3−4.4±2.8

Lean FH crosscourt: +3.4±2.7 per 100 returns v the current mix (1224 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle42%+6.4+2.7+0.4+9.5±1.3
BH crosscourt20%+8.8+2.4+0.7+11.9±2.1
BH slice through the middle17%−4.2−0.1−2.8−7.1±1.8
BH down the line11%+4.2+4.9+0.1+9.2±3.4
BH slice crosscourt6%+0.5−1.2−0.4−1.0±2.7

Lean BH crosscourt: +6.2±1.9 per 100 returns v the current mix (1218 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle48%−3.5+0.4+0.1−3.0±2.1
FH crosscourt24%−0.2+0.7−1.0−0.5±3.7
FH down the line24%−1.8+0.9−2.0−2.9±3.9
FH slice through the middle4%−12.7±0.0−0.5−13.1±2.1

Lean FH crosscourt: +2.2±3.1 per 100 returns v the current mix (289 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle48%−2.9+0.6−1.2−3.5±1.3
BH crosscourt33%+1.0+1.7−0.2+2.5±1.8
BH down the line12%−0.2+0.8−1.6−1.0±3.9
FH through the middle3%−2.9−0.4+0.1−3.2±1.9
FH inside-out2%+1.0±0.0−2.0−1.1±2.9

Lean BH crosscourt: +3.7±1.4 per 100 returns v the current mix (961 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.

Carlos Alcaraz

Favour

ShotEdgeOwnTheirs
Smash to their forehand · rally+8.1±4.0+4.1+4.0
FH volley to their backhand · rally+7.0±4.6+2.9+4.1
FH volley to the middle · rally+6.6±5.6+5.3+1.3
FH to their backhand · serve +1+4.6±1.4+1.7+2.9
BH to their forehand · rally+4.1±1.8+1.6+2.4
BH drop shot to their forehand · rally+3.5±4.8+0.3+3.2

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−3.7±1.4−3.8+0.1
BH slice to the middle · return +1−3.5±1.8−1.2−2.3
FH slice to the middle · return +1−1.2±2.5−0.4−0.8
FH slice to their backhand · rally−1.0±3.1−0.9−0.2
FH slice to the middle · rally−1.0±2.1−1.6+0.6

Roberto Bautista Agut

Favour

ShotEdgeOwnTheirs
FH to the middle · return+3.3±1.1+2.2+1.1
FH drop shot to their backhand · rally+3.0±5.0+3.0±0.0
FH to their forehand · return+3.0±2.6+2.2+0.7
BH to their forehand · return+2.6±2.7+3.0−0.4
BH to their backhand · return+2.4±1.4+1.9+0.5
FH to the middle · serve +1+2.2±1.4+2.8−0.6

Avoid

ShotEdgeOwnTheirs
BH volley to their forehand · rally−6.9±5.0−1.9−5.0
FH volley to their forehand · rally−4.5±4.7+1.9−6.4
FH slice to the middle · rally−4.4±2.2−1.3−3.1
Smash to their backhand · rally−4.0±4.1−0.8−3.2
BH slice to the middle · return +1−2.9±2.0+0.5−3.5

Against Roberto Bautista Agut-like opponents

Carlos Alcaraz vMatchesServe pts wonReturn pts won
All charted opponents–66.5%41.2%
Players most similar to Roberto Bautista Agut25 67.3%39.7%
Roberto Bautista Agut (charted head-to-head)2 73.3%48.3%

Similar by tactical fingerprint: Casper Ruud, Brandon Nakashima, Gael Monfils, Mariano Navone, Novak Djokovic, Karen Khachanov, Pablo Carreno Busta, Francisco Cerundolo, Roberto Carballes Baena, Bernabe Zapata Miralles. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head