RallyIQ

Game plan

Yannick Hanfmann v Alejandro Tabilo

Every number combines what Yannick Hanfmann 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

Yannick Hanfmann wins, best of 3 43%90%: 18%–71% · best of 5: 41%
Serve points won 62.5% / 63.9% Yannick / Alejandro · tour 63.4%
Strengths only, no similarity priors 43%serve 62.5% / 63.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Yannick Hanfmann's record against Alejandro Tabilo'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

CareerYannickAlejandro
Direction choice+0.01 ±0.14
better than 58%
−0.10 ±0.09
better than 30%
Shot selection+0.22 ±0.32
better than 74%
−0.14 ±0.20
better than 34%
Execution−0.66 ±0.91
better than 38%
+0.14 ±0.46
better than 74%
Points left on the table2.68 ±0.23
lower than 41%
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.

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.

Yannick Hanfmann serving

Deuce court

1st serveNowYannick winsv AlejandroMatchupOptimal
Wide40%61%72%60.2%±7.636% ▼
Body9%53%64%53.9%±12.70% ▼
T51%73%75%73.2%±7.364% ▲

Optimal v Alejandro Tabilo: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +7.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowYannick winsv AlejandroMatchupOptimal
Wide55%64%78%69.7%±7.649% ▼
Body8%55%63%55.3%±13.10% ▼
T38%68%75%71.4%±7.351% ▲

Optimal v Alejandro Tabilo: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Alejandro Tabilo serving

Deuce court

1st serveNowAlejandro winsv YannickMatchupOptimal
Wide48%74%76%77.1%±6.262% ▲
Body14%64%63%64.1%±11.71% ▼
T37%72%73%69.4%±7.637%

Optimal v Yannick Hanfmann: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlejandro winsv YannickMatchupOptimal
Wide49%69%75%72.1%±6.946% ▼
Body10%62%71%69.5%±12.00% ▼
T40%76%78%81.4%±6.254% ▲

Optimal v Yannick Hanfmann: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.8 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.

Yannick Hanfmann returning

1st serve to the forehand

ReturnNowTourOwnv AlejandroValue
FH through the middle60%+4.3+1.0−2.6+2.7±2.7
FH crosscourt21%+5.5−0.2+1.9+7.2±4.3
FH down the line9%+1.7−0.4−3.8−2.5±4.3
FH slice through the middle6%−4.2+0.1−0.3−4.4±2.1
FH slice down the line3%−4.3−1.0−0.3−5.6±2.5

Lean FH crosscourt: +4.8±3.8 per 100 returns v the current mix (186 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlejandroValue
BH crosscourt38%+8.8−1.8+0.9+7.9±3.5
BH through the middle38%+6.4+0.5+1.3+8.2±2.5
BH slice through the middle9%−4.2−0.1+1.4−3.0±2.3
BH down the line8%+4.2+0.8−2.1+2.9±4.3
BH slice crosscourt7%+0.5−1.9+1.9+0.5±2.7

Lean BH through the middle: +2.1±2.1 per 100 returns v the current mix (208 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv AlejandroValue
FH through the middle64%−3.5−1.5−0.3−5.3±2.7
FH crosscourt36%−0.2+5.7+0.1+5.5±4.2

Lean FH crosscourt: +6.9±3.2 per 100 returns v the current mix (64 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlejandroValue
BH through the middle48%−2.9+0.9+1.7−0.3±2.4
BH crosscourt39%+1.0+0.2−0.7+0.6±3.2
BH down the line8%−0.2+1.5−3.3−2.0±4.3
FH through the middle5%−2.9+0.5−0.3−2.7±1.9

Lean BH crosscourt: +0.8±2.3 per 100 returns v the current mix (151 returns charted, inside the 90% margin)

Alejandro Tabilo returning

1st serve to the forehand

ReturnNowTourOwnv YannickValue
FH through the middle40%+4.3+0.1+3.5+7.8±2.8
FH slice through the middle21%−4.2−0.4−0.3−4.9±2.3
FH crosscourt15%+5.5−2.8+0.3+2.9±4.4
FH slice crosscourt10%−4.3+1.3±0.0−3.0±2.0
FH down the line10%+1.7+0.4+2.6+4.7±4.5

Lean FH through the middle: +5.3±1.9 per 100 returns v the current mix (278 returns charted)

1st serve to the backhand

ReturnNowTourOwnv YannickValue
BH through the middle44%+6.4+0.6+2.8+9.9±2.5
BH crosscourt17%+8.8+1.4+1.1+11.3±3.5
BH down the line16%+4.2−1.7+3.1+5.6±4.6
BH slice through the middle11%−4.2−1.2+0.1−5.3±2.5
BH slice down the line8%−8.4−0.1+1.1−7.4±3.4

Lean BH crosscourt: +5.4±3.2 per 100 returns v the current mix (418 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv YannickValue
FH through the middle43%−3.5−0.5+0.3−3.7±2.9
FH crosscourt35%−0.2−0.8+2.4+1.4±4.3
FH down the line14%−1.8+3.3+3.6+5.1±4.3
FH slice through the middle8%−12.7−0.6±0.0−13.2±1.2

Lean FH down the line: +6.5±4.2 per 100 returns v the current mix (106 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv YannickValue
BH through the middle56%−2.9+1.6+1.6+0.3±2.4
BH crosscourt28%+1.0+1.0−2.7−0.7±3.1
BH down the line14%−0.2−2.9−0.5−3.6±4.9
FH through the middle2%−2.9+0.4+0.3−2.2±2.0

Lean BH through the middle: +0.9±1.5 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.

Yannick Hanfmann

Favour

ShotEdgeOwnTheirs
BH to the middle · return+3.1±2.1+1.0+2.2
BH to their forehand · rally+2.7±3.8−1.2+4.0
FH to their forehand · serve +1+2.4±3.4−0.7+3.2
FH to their backhand · rally+0.8±2.6±0.0+0.8
BH to the middle · serve +1−0.3±2.6−0.4+0.1
FH to the middle · rally−0.5±2.1−0.5±0.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−6.9±2.7−4.0−2.8
BH to their backhand · return +1−3.0±3.5−3.6+0.6
FH to the middle · return−2.7±2.2−0.4−2.3
BH to their backhand · return−2.6±3.2−0.5−2.2
BH to their backhand · rally−2.0±2.5−2.2+0.2

Alejandro Tabilo

Favour

ShotEdgeOwnTheirs
BH to the middle · return+5.5±2.0+1.9+3.6
FH to their forehand · return+3.9±4.6−0.3+4.2
FH to the middle · return+2.1±2.3−1.3+3.4
FH to the middle · serve +1+1.9±2.6+1.2+0.8
FH to the middle · rally+1.0±2.1+0.6+0.4
FH to the middle · return +1+0.6±2.8+1.7−1.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.8±3.6−1.3−2.4
BH to the middle · return +1−3.3±2.4−1.0−2.3
BH to the middle · serve +1−3.2±2.6−2.7−0.5
BH to their backhand · serve +1−3.1±3.4−0.2−2.9
BH to their backhand · rally−2.9±2.4−3.2+0.3

Against Alejandro Tabilo-like opponents

Yannick Hanfmann vMatchesServe pts wonReturn pts won
All charted opponents–59.8%35.5%

Similar by tactical fingerprint: Ben Shelton, Carlos Alcaraz, 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.