Botic van de Zandschulp: reliable favourite conversion at 66.7%

Botic van de Zandschulp ranks #41 in the ATP (October 2026 snapshot) and has played 206 ATP main-draw matches in our database from 2022–2026. The headline number — 49.0% overall win rate — frames a clear mid-tier profile, but the 55.6% mark in 2026 (45 matches) shows a live uptick. The paradox worth betting on: reliable favourite conversion at 66.7%.

Key metrics at a glance

Metric	Value
Overall win rate	49.0%
ATP rank (snapshot)	41
Matches analysed	206 (2022–2026)
Best surface	Hard — 53.7%
Weakest surface	Indoors — 36.0%
Grand Slam win rate	53.7% (22–19)
As favourite	66.7% (n=78)
As underdog	29.1% (n=79)

van de Zandschulp's year-by-year record

Year	Matches	Wins	Win rate
2022	62	34	54.8%
2023	32	14	43.8%
2024	31	12	38.7%
2025	36	16	44.4%
2026	45	25	55.6%

Win rate by season, Botic van de Zandschulp, 2022–2026. Source: ATP match data via tennispredictor.net

Year-to-year movement shows where the market should update fastest. The favourite conversion at 66.7% and the year table are the primary form anchors for live pricing — not a single career average.

Surface breakdown: where the edge lives

Surface	Matches	Win rate
Hard	95	53.7%
Clay	61	49.2%
Indoors	25	36.0%
Grass	25	44.0%

Win rate by surface, Botic van de Zandschulp, 2022–2026. Source: ATP match data via tennispredictor.net

Surface is the first filter before round or opponent quality. Compare clay baselines in the clay-court betting guide and grass patterns in the grass-court specificity guide when translating these rates into match previews.

Tournament tier: reliability by event level

Tournament level	Matches	Win rate
Grand Slam	41	53.7%
ATP 250	53	49.1%
ATP 500	62	48.4%
Masters 1000	50	46.0%

Win rate by tournament tier, Botic van de Zandschulp, 2022–2026. Source: ATP match data via tennispredictor.net

Grand Slam and Masters samples matter most for pricing; ATP 250/500 volume often inflates or deflates the headline win rate. Cross-check against Grigor Dimitrov or Cameron Norrie for other ranks-21–50 archetypes.

Round-by-round: early rounds vs deep runs

Round	Matches	Win rate
R1	96	61.5%
R2	38	39.5%
R3	11	36.4%
R16	39	33.3%
QF	12	58.3%
SF	7	42.9%
F	3	0.0%

Win rate by round, Botic van de Zandschulp, 2022–2026. Source: ATP match data via tennispredictor.net

Round curves separate true closers from early-round specialists. Use the drop from early rounds into deeper stages as a fade signal even when the overall win rate looks acceptable — the same structural idea as Rublev's late-round ceiling.

H2H against elite rivals

Rival	W–L	Win rate
Griekspoor	1–4	20.0%
Humbert	0–5	0.0%
Cerundolo	0–5	0.0%
Mannarino	3–1	75.0%
Medvedev	1–3	25.0%

Elite H2H is sparse for many mid-ranked players; only rows with multiple meetings are shown. Use these as matchup modifiers, not as a substitute for surface form.

Favourite vs underdog split

Role	Matches	Win rate
Favourite	78	66.7%
Underdog	79	29.1%

Favourite vs underdog win rate, Botic van de Zandschulp, 2022–2026. Source: ATP match odds via tennispredictor.net

What the betting market misses about Botic van de Zandschulp

Back Botic van de Zandschulp when:

• on hard (53.7% over 95 matches)
• when priced as favourite (66.7% conversion, n=78)
• in first-round spots (61.5% over 96 matches)
• during strong 2026 form (55.6% over 45 matches)

Fade Botic van de Zandschulp when:

• on indoors (36.0%)
• in R16 or later (33.3% at R16)
• against top-tier opponents with repeated negative H2H (e.g. Humbert 0–5)

For live slate context, open the predictions dashboard rather than relying on a static profile alone.

How our model treats Botic van de Zandschulp

The ensemble weights surface win-rate history, recent form (last 5 / last 10), and tournament-tier context most heavily for a rank-21–50 profile like this. Favourite/underdog conversion is a secondary prior when odds history is dense enough (here: 157 matches with usable prices). Uncertainty rises when the next match is on indoors or in a deep-draw round where van de Zandschulp's historical conversion collapses.

Frequently asked questions

What is Botic van de Zandschulp's overall win rate in this study?

49.0% across 206 ATP main-draw matches from 2022–2026.

Which surface shows the highest win rate?

Hard at 53.7% (95 matches).

How often does Botic van de Zandschulp win when installed as favourite?

66.7% over 78 favourite-priced matches in the cache (usable odds only).

How does Botic van de Zandschulp perform at Grand Slams vs regular events?

Grand Slam win rate is 53.7% (22–19), versus 49.0% overall.

Who is Botic van de Zandschulp's toughest matchup in the data?

Among repeated elite meetings: Humbert (0–5).

When is Botic van de Zandschulp worth backing or fading based on this data?

Back when on hard (53.7% over 95 matches) / when priced as favourite (66.7% conversion, n=78) / in first-round spots (61.5% over 96 matches). Fade when on indoors (36.0%) / in R16 or later (33.3% at R16).

How reliable are these statistics given the sample size?

206 matches is a standard profile sample; surface and favourite splits with n≥15 are the most trustworthy rows.

How does your model handle Botic van de Zandschulp's surface and form swings?

It re-weights recent surface form and does not treat the career overall win rate as a constant prior when the year-by-year table shows large swings (notably the 2026 line at 55.6%).

Conclusion

Botic van de Zandschulp at ATP #41 is a ranks-21–50 profile defined by 49.0% overall and reliable favourite conversion at 66.7%. The actionable reads are the surface table, the favourite conversion, the 2026 form line, and the round curve — not the ranking alone.

Watch the North American hard-court swing and any surface-specific weeks to confirm whether current form holds. For related mid-tier profiles, see Denis Shapovalov and Alex Michelsen.