RallyIQ

Game plan

Sebastian Baez v Botic Van De Zandschulp

Every number combines what Sebastian Baez does well with what Botic Van De Zandschulp allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Sebastian Baez wins, best of 3 20%90%: 5%–50% · best of 5: 15%
Serve points won 56.0% / 62.4% Sebastian / Botic · tour 63.5%
Strengths only, no similarity priors 24%serve 56.9% / 62.3%

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 Sebastian Baez's record against Botic Van De Zandschulp's tactical lookalikes and in their charted head-to-heads (lookalikes: −14.1 on serve, −2.5 on return vs expectation (210 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

CareerSebastianBotic
Direction choice−0.08 ±0.10
better than 34%
−0.09 ±0.03
better than 32%
Shot selection+0.02 ±0.14
better than 54%
+0.08 ±0.08
better than 62%
Execution−0.04 ±0.36
better than 66%
−1.07 ±0.25
better than 23%
Points left on the table2.58 ±0.13
lower than 51%
2.53 ±0.06
lower than 58%

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: Sebastian Baez +0.18, Botic Van De Zandschulp −0.08. 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.

Sebastian Baez serving

Deuce court

1st serveNowSebastian winsv BoticMatchupOptimal
Wide46%66%72%64.6%±3.959% ▲
Body22%61%63%61.2%±5.722%
T32%59%70%53.9%±4.719% ▼

Optimal v Botic Van De Zandschulp: +0.6±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSebastian winsv BoticMatchupOptimal
Wide30%60%71%57.9%±4.730%
Body19%62%64%63.1%±6.332% ▲
T51%64%69%60.9%±4.238% ▼

Optimal v Botic Van De Zandschulp: +0.1±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.7 per 100 first serves in before the returner adjusts.

Botic Van De Zandschulp serving

Deuce court

1st serveNowBotic winsv SebastianMatchupOptimal
Wide41%72%68%67.1%±3.928% ▼
Body12%63%61%60.6%±7.112%
T47%77%73%75.4%±3.660% ▲

Optimal v Sebastian Baez: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBotic winsv SebastianMatchupOptimal
Wide37%72%70%69.1%±4.037%
Body15%58%56%50.5%±7.72% ▼
T47%70%73%71.7%±4.161% ▲

Optimal v Sebastian Baez: +1.5±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.2 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.

Sebastian Baez returning

1st serve to the forehand

ReturnNowTourOwnv BoticValue
FH through the middle39%+4.3+0.6−0.1+4.8±1.8
FH down the line20%+1.7+2.2−2.1+1.8±3.5
FH slice through the middle17%−4.2−0.5−1.6−6.3±1.9
FH crosscourt13%+5.5+0.4−3.5+2.4±3.6
FH slice crosscourt6%−4.3+1.3−2.3−5.4±2.8

Lean FH through the middle: +4.1±1.4 per 100 returns v the current mix (679 returns charted)

1st serve to the backhand

ReturnNowTourOwnv BoticValue
BH through the middle47%+6.4+0.4+0.6+7.5±1.6
BH crosscourt27%+8.8−1.3−2.8+4.7±2.5
BH down the line10%+4.2+2.6−5.8+1.0±4.1
BH slice through the middle7%−4.2−1.8−2.8−8.8±2.2
BH slice crosscourt5%+0.5−2.1−4.7−6.2±2.8

Lean BH through the middle: +3.8±1.2 per 100 returns v the current mix (748 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BoticValue
FH through the middle58%−3.5+2.8+0.7±0.0±2.1
FH crosscourt23%−0.2−0.4−2.5−3.0±3.8
FH down the line18%−1.8+0.7−0.4−1.5±4.0

Lean FH through the middle: +1.0±1.4 per 100 returns v the current mix (226 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv BoticValue
BH through the middle32%−2.9+0.1+0.8−2.0±1.8
BH crosscourt23%+1.0−1.1−1.6−1.7±2.6
FH inside-out16%+1.0−2.1−0.4−1.5±3.0
FH through the middle13%−2.9−0.4+0.7−2.6±1.9
BH down the line9%−0.2−2.9−0.1−3.2±4.6

Lean FH inside-out: +0.5±2.7 per 100 returns v the current mix (566 returns charted, inside the 90% margin)

Botic Van De Zandschulp returning

1st serve to the forehand

ReturnNowTourOwnv SebastianValue
FH through the middle48%+4.3+1.5+2.0+7.7±1.5
FH crosscourt22%+5.5−3.9+5.7+7.3±3.0
FH down the line16%+1.7−1.6+2.8+2.9±3.3
FH slice through the middle9%−4.2−1.9−0.6−6.7±2.1
FH slice down the line3%−4.3−4.2−0.1−8.5±2.8

Lean FH through the middle: +2.9±1.2 per 100 returns v the current mix (2055 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SebastianValue
BH through the middle42%+6.4−0.3+1.9+7.9±1.5
BH crosscourt28%+8.8−2.7+2.2+8.3±2.2
BH slice through the middle14%−4.2−1.4+0.4−5.2±2.1
BH down the line8%+4.2−0.9+3.5+6.9±4.1
BH slice crosscourt6%+0.5−3.3−0.9−3.6±2.7

Lean BH crosscourt: +3.2±1.8 per 100 returns v the current mix (2166 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SebastianValue
FH through the middle53%−3.5−0.4−1.2−5.1±2.4
FH crosscourt31%−0.2−1.8±0.0−2.0±4.2
FH down the line14%−1.8−5.4+0.7−6.5±4.6
FH slice through the middle2%−12.7−1.2−0.5−14.4±1.6

Lean FH crosscourt: +2.5±3.2 per 100 returns v the current mix (449 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SebastianValue
BH through the middle48%−2.9−2.0+0.1−4.8±1.7
BH crosscourt41%+1.0−4.5−0.7−4.1±2.2
BH down the line6%−0.2+0.3+0.8+0.9±4.9
FH through the middle2%−2.9−0.4−1.2−4.5±2.2
FH inside-out1%+1.0−1.9+0.7−0.3±3.2

Lean BH down the line: +5.0±4.8 per 100 returns v the current mix (1291 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.

Sebastian Baez

Favour

ShotEdgeOwnTheirs
BH drop shot to their forehand · rally+5.9±5.0+6.0−0.1
FH to the middle · return +1+4.3±1.9+2.0+2.3
FH slice to the middle · rally+3.4±2.6+1.7+1.8
FH to their forehand · return +1+3.1±2.8+4.6−1.5
BH to the middle · return+2.7±1.2+1.6+1.1
FH to the middle · rally+2.3±1.1+1.6+0.7

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−5.7±4.0−3.3−2.5
FH to their forehand · return−4.9±3.0−1.5−3.4
BH slice to the middle · return−3.4±2.1−1.2−2.2
BH slice to their forehand · rally−3.3±2.9−1.5−1.8
BH volley to their forehand · rally−3.2±5.5+0.4−3.7

Botic Van De Zandschulp

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+4.3±2.9−1.2+5.5
FH to the middle · return+3.8±1.3+1.3+2.5
FH to the middle · return +1+3.2±2.0+2.0+1.2
BH to their forehand · serve +1+2.2±4.1+0.3+1.9
BH to the middle · return+1.9±1.1−0.8+2.7
BH to the middle · rally+1.6±1.0+0.9+0.7

Avoid

ShotEdgeOwnTheirs
BH volley to their backhand · rally−6.4±5.2−3.8−2.6
FH to their backhand · rally−2.8±1.2−1.3−1.5
FH to their forehand · serve +1−2.4±2.0−1.5−0.8
FH slice to the middle · return−2.3±2.1−1.6−0.7
BH to their backhand · serve +1−1.8±2.0−1.3−0.5

Against Botic Van De Zandschulp-like opponents

Sebastian Baez vMatchesServe pts wonReturn pts won
All charted opponents–57.8%39.7%
Players most similar to Botic Van De Zandschulp2 45.5%37.6%

Similar by tactical fingerprint: Jesper De Jong, Zhizhen Zhang, Aleksandar Kovacevic, Nuno Borges, Zizou Bergs, Miomir Kecmanovic, Mackenzie Mcdonald, Jordan Thompson, Emil Ruusuvuori, Andreas Seppi. When two players have rarely met, their records against these lookalikes fill the gap.