Cameron Norrie: reliable favourite conversion at 73.5%

Cameron Norrie ranks 35 in the ATP (August 2026 snapshot) and has played 244 ATP main-draw matches in our database from 2022–2026. The headline number — 58.6% overall win rate — frames a clear mid-tier profile, but the 51.3% mark in 2026 (39 matches) is the current form anchor. The paradox worth betting on: reliable favourite conversion at 73.5%.
Key metrics at a glance
| Metric | Value |
|---|---|
| Overall win rate | 58.6% |
| ATP rank (snapshot) | 35 |
| Matches analysed | 244 (2022–2026) |
| Best surface | Clay — 60.3% |
| Weakest surface | Grass — 53.6% |
| Grand Slam win rate | 64.7% (33–18) |
| As favourite | 73.5% (n=117) |
| As underdog | 41.2% (n=68) |
Norrie's year-by-year record
| Year | Matches | Wins | Win rate |
|---|---|---|---|
| 2022 | 69 | 48 | 69.6% |
| 2023 | 46 | 27 | 58.7% |
| 2024 | 32 | 16 | 50.0% |
| 2025 | 58 | 32 | 55.2% |
| 2026 | 39 | 20 | 51.3% |

Win rate by season, Cameron Norrie, 2022–2026. Source: ATP match data via tennispredictor.net
Year-to-year movement shows where the market should update fastest. The favourite conversion at 73.5% 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 | 114 | 58.8% |
| Clay | 78 | 60.3% |
| Grass | 28 | 53.6% |
| Indoors | 24 | 58.3% |

Win rate by surface, Cameron Norrie, 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 |
|---|---|---|
| ATP 250 | 41 | 65.9% |
| Grand Slam | 51 | 64.7% |
| ATP 500 | 73 | 54.8% |
| Masters 1000 | 79 | 54.4% |

Win rate by tournament tier, Cameron Norrie, 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 Tommy Paul or Francisco Cerundolo for other ranks-21–50 archetypes.
Round-by-round: early rounds vs deep runs
| Round | Matches | Win rate |
|---|---|---|
| R1 | 70 | 62.9% |
| R2 | 48 | 72.9% |
| R3 | 27 | 44.4% |
| R16 | 50 | 56.0% |
| QF | 28 | 46.4% |
| SF | 13 | 61.5% |
| F | 8 | 37.5% |

Win rate by round, Cameron Norrie, 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 |
|---|---|---|
| Alcaraz | 3–5 | 37.5% |
| Medvedev | 1–4 | 20.0% |
| Djokovic | 0–5 | 0.0% |
| De Minaur | 2–3 | 40.0% |
| Kecmanovic | 3–1 | 75.0% |
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 | 117 | 73.5% |
| Underdog | 68 | 41.2% |

Favourite vs underdog win rate, Cameron Norrie, 2022–2026. Source: ATP match odds via tennispredictor.net
What the betting market misses about Cameron Norrie
Back Cameron Norrie when:
- on clay (60.3% over 78 matches)
- when priced as favourite (73.5% conversion, n=117)
- in first-round spots (62.9% over 70 matches)
Fade Cameron Norrie when:
- on grass (53.6%)
- in R3 or later (44.4% at R3)
- against top-tier opponents with repeated negative H2H (e.g. Djokovic 0–5)
For live slate context, open the predictions dashboard rather than relying on a static profile alone.
How our model treats Cameron Norrie
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: 185 matches with usable prices). Uncertainty rises when the next match is on grass or in a deep-draw round where Norrie's historical conversion collapses.
Frequently asked questions
What is Cameron Norrie's overall win rate in this study?
58.6% across 244 ATP main-draw matches from 2022–2026.
Which surface shows the highest win rate?
Clay at 60.3% (78 matches).
How often does Cameron Norrie win when installed as favourite?
73.5% over 117 favourite-priced matches in the cache (usable odds only).
How does Cameron Norrie perform at Grand Slams vs regular events?
Grand Slam win rate is 64.7% (33–18), versus 58.6% overall.
Who is Cameron Norrie's toughest matchup in the data?
Among repeated elite meetings: Djokovic (0–5).
When is Cameron Norrie worth backing or fading based on this data?
Back when on clay (60.3% over 78 matches) / when priced as favourite (73.5% conversion, n=117) / in first-round spots (62.9% over 70 matches). Fade when on grass (53.6%) / in R3 or later (44.4% at R3).
How reliable are these statistics given the sample size?
244 matches is a standard profile sample; surface and favourite splits with n≥15 are the most trustworthy rows.
How does your model handle Cameron Norrie'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 51.3%).
Conclusion
Cameron Norrie at ATP #35 is a ranks-21–50 profile defined by 58.6% overall and reliable favourite conversion at 73.5%. 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 Ugo Humbert and Brandon Nakashima.
See today's match predictions with confidence scores and value signals.
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