Game plan

Botic Van De Zandschulp v Zhizhen Zhang

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

Forecast

Botic Van De Zandschulp wins, best of 3 79%90%: 51%–94% · best of 5: 84%

Serve points won 69.2% / 62.7% Botic / Zhizhen · tour 63.5%

Strengths only, no similarity priors 80%serve 69.6% / 62.6%

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 Botic Van De Zandschulp's record against Zhizhen Zhang's tactical lookalikes and in their charted head-to-heads (lookalikes: −10.1 on serve, −2.6 on return vs expectation (130 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

Career	Botic	Zhizhen
Direction choice	−0.09 ±0.03 better than 32%	−0.06 ±0.09 better than 41%
Shot selection	+0.08 ±0.08 better than 62%	+0.03 ±0.20 better than 54%
Execution	−1.07 ±0.25 better than 23%	−0.36 ±0.66 better than 51%
Points left on the table	2.53 ±0.06 lower than 58%	2.50 ±0.14 lower than 61%

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: Botic Van De Zandschulp −0.11, Zhizhen Zhang −1.30. 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.

Botic Van De Zandschulp serving

Deuce court

1st serve	Now	Botic wins	v Zhizhen	Matchup	Optimal
Wide	41%	72%	81%	80.9%±3.9	54% ▲
Body	12%	63%	65%	65.1%±9.3	0% ▼
T	47%	77%	77%	79.1%±4.4	46% ▼

Optimal v Zhizhen Zhang: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Botic wins	v Zhizhen	Matchup	Optimal
Wide	37%	72%	78%	78.2%±4.3	50% ▲
Body	15%	58%	67%	61.8%±10.7	2% ▼
T	47%	70%	77%	75.9%±5.0	48%

Optimal v Zhizhen Zhang: +1.3±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Zhizhen Zhang serving

Deuce court

1st serve	Now	Zhizhen wins	v Botic	Matchup	Optimal
Wide	43%	72%	72%	71.3%±4.8	42%
Body	7%	69%	63%	69.3%±8.9	21% ▲
T	50%	76%	70%	71.2%±4.8	37% ▼

Optimal v Botic Van De Zandschulp: ±0.0±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.2 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Zhizhen wins	v Botic	Matchup	Optimal
Wide	44%	69%	71%	66.2%±5.6	38% ▼
Body	8%	57%	64%	57.6%±10.0	0% ▼
T	49%	75%	69%	72.4%±4.9	62% ▲

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 T every time would read +3.9 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.

Botic Van De Zandschulp returning

1st serve to the forehand

Return	Now	Tour	Own	v Zhizhen	Value
FH through the middle	48%	+4.3	+1.5	−0.6	+5.1±2.0
FH crosscourt	22%	+5.5	−3.9	−0.8	+0.8±3.6
FH down the line	16%	+1.7	−1.6	+0.6	+0.6±3.8
FH slice through the middle	9%	−4.2	−1.9	−1.6	−7.7±2.1
FH slice down the line	3%	−4.3	−4.2	−0.4	−8.8±2.8

Lean FH through the middle: +3.5±1.5 per 100 returns v the current mix (2055 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Zhizhen	Value
BH through the middle	42%	+6.4	−0.3	−0.4	+5.7±1.9
BH crosscourt	28%	+8.8	−2.7	+0.7	+6.9±2.8
BH slice through the middle	14%	−4.2	−1.4	−0.9	−6.5±2.1
BH down the line	8%	+4.2	−0.9	+1.2	+4.6±4.3
BH slice crosscourt	6%	+0.5	−3.3	−2.3	−5.1±2.9

Lean BH crosscourt: +3.6±2.3 per 100 returns v the current mix (2166 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Zhizhen	Value
FH through the middle	53%	−3.5	−0.4	−1.1	−5.0±2.5
FH crosscourt	31%	−0.2	−1.8	+2.3	+0.3±4.1
FH down the line	14%	−1.8	−5.4	−1.4	−8.6±4.7
FH slice through the middle	2%	−12.7	−1.2	±0.0	−13.9±1.2

Lean FH crosscourt: +4.3±3.2 per 100 returns v the current mix (449 returns charted)

2nd serve to the backhand

Return	Now	Tour	Own	v Zhizhen	Value
BH through the middle	48%	−2.9	−2.0	−0.7	−5.6±1.7
BH crosscourt	41%	+1.0	−4.5	−0.5	−4.0±2.4
BH down the line	6%	−0.2	+0.3	+1.6	+1.7±5.0
FH through the middle	2%	−2.9	−0.4	−1.1	−4.4±2.3
FH inside-out	1%	+1.0	−1.9	−1.4	−2.3±3.4

Lean BH down the line: +6.1±4.9 per 100 returns v the current mix (1291 returns charted)

Zhizhen Zhang returning

1st serve to the forehand

Return	Now	Tour	Own	v Botic	Value
FH through the middle	40%	+4.3	+0.5	−0.1	+4.7±2.1
FH crosscourt	23%	+5.5	±0.0	−3.5	+2.1±3.6
FH slice through the middle	14%	−4.2	−0.2	−1.6	−6.0±2.0
FH down the line	13%	+1.7	−5.0	−2.1	−5.4±3.8
FH slice crosscourt	6%	−4.3	−2.7	−2.3	−9.3±2.7

Lean FH through the middle: +4.7±1.7 per 100 returns v the current mix (342 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Botic	Value
BH through the middle	37%	+6.4	+1.7	+0.6	+8.8±2.0
BH crosscourt	27%	+8.8	+1.6	−2.8	+7.6±2.8
BH slice through the middle	12%	−4.2	−1.2	−2.8	−8.1±2.2
BH slice crosscourt	11%	+0.5	+0.9	−4.7	−3.3±2.8
BH down the line	9%	+4.2	+0.2	−5.8	−1.4±4.1

Lean BH through the middle: +5.5±1.6 per 100 returns v the current mix (368 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Botic	Value
FH through the middle	45%	−3.5	−2.6	+0.7	−5.4±2.3
FH crosscourt	35%	−0.2	+0.8	−2.5	−1.9±3.7
FH down the line	20%	−1.8	−0.8	−0.4	−3.0±3.7

Lean FH crosscourt: +1.8±2.7 per 100 returns v the current mix (100 returns charted, inside the 90% margin)

2nd serve to the backhand

Return	Now	Tour	Own	v Botic	Value
BH through the middle	54%	−2.9	+2.0	+0.8	−0.1±1.9
BH crosscourt	38%	+1.0	+1.3	−1.6	+0.7±2.7
BH down the line	7%	−0.2	−1.2	−0.1	−1.5±4.4

Lean BH crosscourt: +0.6±2.0 per 100 returns v the current mix (268 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.

Botic Van De Zandschulp

Favour

Shot	Edge	Own	Theirs
FH to the middle · return +1	+4.3±2.2	+2.0	+2.3
FH to their forehand · rally	+3.8±1.9	+0.4	+3.4
BH to their forehand · serve +1	+3.7±4.3	+0.3	+3.4
BH to the middle · return +1	+3.0±2.0	+1.4	+1.6
BH to their forehand · return +1	+1.9±4.4	−0.2	+2.0
BH slice to their backhand · rally	+1.4±2.0	+0.6	+0.8

Avoid

Shot	Edge	Own	Theirs
BH to their backhand · return	−3.6±2.1	−2.9	−0.6
FH to their backhand · return	−3.1±3.2	−2.9	−0.2
BH to their forehand · rally	−2.5±3.3	−0.6	−1.9
FH to their backhand · rally	−2.4±1.9	−1.3	−1.1
BH to the middle · return	−2.0±1.4	−0.8	−1.2

Zhizhen Zhang

Favour

Shot	Edge	Own	Theirs
FH to the middle · return +1	+2.5±2.3	+0.3	+2.3
BH to the middle · return	+2.4±1.5	+1.4	+1.1
BH to their backhand · return	+1.0±2.2	+2.4	−1.4
BH to the middle · return +1	+0.4±1.9	−0.6	+1.0
BH to the middle · rally	+0.2±1.4	−0.3	+0.5
BH to the middle · serve +1	−0.1±2.0	−0.9	+0.7

Avoid

Shot	Edge	Own	Theirs
FH to their backhand · return	−7.2±3.2	−5.7	−1.6
BH to their forehand · return	−5.5±3.9	−2.2	−3.3
BH to their backhand · return +1	−3.4±2.7	−2.9	−0.4
FH to their forehand · return +1	−3.3±3.2	−1.8	−1.5
BH slice to their backhand · rally	−3.1±2.1	−1.3	−1.8

Against Zhizhen Zhang-like opponents

Botic Van De Zandschulp v	Matches	Serve pts won	Return pts won
All charted opponents	–	62.1%	37.2%
Players most similar to Zhizhen Zhang	1	55.4%	35.8%

Similar by tactical fingerprint: Jiri Lehecka, Arthur Rinderknech, Nuno Borges, Alexander Shevchenko, Zizou Bergs, Mackenzie Mcdonald, Fabio Fognini, Otto Virtanen, Borna Coric, Kevin Anderson. When two players have rarely met, their records against these lookalikes fill the gap.