RallyIQ

Game plan

Carlos Alcaraz v Alejandro Tabilo

Every number combines what Carlos Alcaraz does well with what Alejandro Tabilo 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 93%90%: 78%–98% · best of 5: 97%
Serve points won 69.7% / 57.9% Carlos / Alejandro · tour 63.5%
Strengths only, no similarity priors 93%serve 69.4% / 57.6%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Carlos Alcaraz's record against Alejandro Tabilo's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.7 on serve, −0.9 on return vs expectation (1802 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

CareerCarlosAlejandro
Direction choice+0.08 ±0.03
better than 77%
−0.10 ±0.09
better than 30%
Shot selection+0.20 ±0.07
better than 73%
−0.14 ±0.20
better than 34%
Execution+0.54 ±0.21
better than 85%
+0.14 ±0.46
better than 74%
Points left on the table2.43 ±0.05
lower than 70%
2.85 ±0.17
lower than 27%

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 +0.81, Alejandro Tabilo −0.90. 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 AlejandroMatchupOptimal
Wide46%73%72%72.8%±4.246%
Body18%67%64%68.4%±7.64% ▼
T37%77%75%77.1%±4.950% ▲

Optimal v Alejandro Tabilo: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarlos winsv AlejandroMatchupOptimal
Wide49%72%78%77.0%±4.750%
Body16%66%63%65.7%±7.83% ▼
T34%72%75%75.4%±4.747% ▲

Optimal v Alejandro Tabilo: +1.0±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.4 per 100 first serves in before the returner adjusts.

Alejandro Tabilo serving

Deuce court

1st serveNowAlejandro winsv CarlosMatchupOptimal
Wide48%74%66%67.8%±4.843% ▼
Body14%64%61%62.1%±7.927% ▲
T37%72%68%63.6%±5.430% ▼

Optimal v Carlos Alcaraz: +0.1±0.7 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.

Ad court

1st serveNowAlejandro winsv CarlosMatchupOptimal
Wide49%69%67%63.3%±4.846% ▼
Body10%62%58%57.1%±9.10% ▼
T40%76%65%70.5%±5.454% ▲

Optimal v Carlos Alcaraz: +0.3±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.9 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 AlejandroValue
FH through the middle49%+4.3+1.2−2.6+2.9±1.9
FH crosscourt24%+5.5+1.3+1.9+8.8±3.3
FH down the line14%+1.7+1.2−3.8−0.9±3.6
FH slice through the middle8%−4.2+0.2−0.3−4.4±2.0
FH slice down the line2%−4.3+0.8−0.3−3.8±2.9

Lean FH crosscourt: +5.9±2.7 per 100 returns v the current mix (4205 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlejandroValue
BH through the middle40%+6.4+1.0+1.3+8.8±1.7
BH crosscourt34%+8.8+1.5+0.9+11.2±2.6
BH slice through the middle10%−4.2−2.3+1.4−5.1±2.0
BH down the line7%+4.2−0.5−2.1+1.6±3.9
BH slice crosscourt6%+0.5−1.3+1.9+1.1±2.6

Lean BH crosscourt: +4.7±1.9 per 100 returns v the current mix (4723 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlejandroValue
FH through the middle42%−3.5−1.0−0.3−4.8±2.1
FH crosscourt36%−0.2−0.2+0.1−0.4±3.5
FH down the line17%−1.8−1.0−4.3−7.0±4.3
FH slice through the middle2%−12.7−0.8±0.0−13.4±1.6
FH slice down the line1%−9.4−1.6±0.0−11.0±1.7

Lean FH crosscourt: +3.3±2.5 per 100 returns v the current mix (1132 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlejandroValue
BH crosscourt45%+1.0+0.1−0.7+0.4±2.4
BH through the middle27%−2.9−2.1+1.7−3.2±1.8
BH down the line9%−0.2+1.4−3.3−2.1±4.2
FH through the middle7%−2.9±0.0−0.3−3.2±2.0
FH inside-in5%+0.6−1.5+0.1−0.8±4.0

Lean BH crosscourt: +1.9±1.5 per 100 returns v the current mix (2787 returns charted)

Alejandro Tabilo returning

1st serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle40%+4.3+0.1+0.5+4.8±2.1
FH slice through the middle21%−4.2−0.4−1.5−6.1±2.0
FH crosscourt15%+5.5−2.8+1.0+3.6±3.5
FH slice crosscourt10%−4.3+1.3+0.9−2.1±2.7
FH down the line10%+1.7+0.4+0.8+2.9±3.4

Lean FH through the middle: +3.8±1.5 per 100 returns v the current mix (278 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle44%+6.4+0.6+0.4+7.4±1.8
BH crosscourt17%+8.8+1.4+0.1+10.2±2.9
BH down the line16%+4.2−1.7+0.7+3.2±3.5
BH slice through the middle11%−4.2−1.2−2.8−8.2±2.1
BH slice down the line8%−8.4−0.1−0.4−8.9±3.1

Lean BH crosscourt: +6.5±2.6 per 100 returns v the current mix (418 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle43%−3.5−0.5+0.1−3.8±2.3
FH crosscourt35%−0.2−0.8−2.0−3.0±3.7
FH down the line14%−1.8+3.3−1.0+0.5±3.5
FH slice through the middle8%−12.7−0.6−0.5−13.7±2.0

Lean FH down the line: +4.1±3.4 per 100 returns v the current mix (106 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle56%−2.9+1.6−1.2−2.4±1.7
BH crosscourt28%+1.0+1.0−1.6+0.4±2.7
BH down the line14%−0.2−2.9−0.2−3.4±3.7
FH through the middle2%−2.9+0.4+0.1−2.3±1.4

Lean BH crosscourt: +2.2±2.2 per 100 returns v the current mix (244 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.

Carlos Alcaraz

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+6.3±3.7+2.4+3.9
BH to their forehand · rally+5.6±2.3+1.6+4.0
BH to their forehand · serve +1+5.6±3.9+1.6+4.0
FH to their forehand · serve +1+5.4±2.4+2.2+3.2
FH to their backhand · return +1+3.1±2.7+0.7+2.4
BH to the middle · return+3.1±1.4+1.0+2.2

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−6.3±1.9−3.8−2.5
FH to their forehand · return−5.1±3.3+0.4−5.5
FH to the middle · return−1.6±1.5+0.7−2.3
FH to their forehand · rally−1.5±1.9+1.4−2.8
BH to their backhand · return−1.2±2.5+1.0−2.2

Alejandro Tabilo

Favour

ShotEdgeOwnTheirs
FH slice to their backhand · rally+3.0±3.1+2.9+0.1
BH to their forehand · serve +1+2.5±3.4+3.9−1.4
BH to the middle · return+2.0±1.3+1.9+0.1
FH to their backhand · return +1+1.8±2.8+2.0−0.2
FH to the middle · return +1+1.5±2.2+1.7−0.2
BH to their forehand · return+1.3±3.1+1.7−0.4

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.6±2.5−1.3−2.2
FH to their forehand · return +1−3.5±3.2−2.2−1.3
BH to their backhand · rally−3.4±1.8−3.2−0.1
FH to their forehand · rally−3.2±2.0−1.0−2.2
BH drop shot to their backhand · rally−3.0±4.8−1.2−1.8

Against Alejandro Tabilo-like opponents

Carlos Alcaraz vMatchesServe pts wonReturn pts won
All charted opponents–66.5%41.2%
Players most similar to Alejandro Tabilo11 69.5%42.2%

Similar by tactical fingerprint: Ben Shelton, Pablo Carreno Busta, Nuno Borges, Alexander Shevchenko, Zizou Bergs, Alexandre Muller, Luca Nardi, Holger Rune, Gregoire Barrere. When two players have rarely met, their records against these lookalikes fill the gap.