Nuno Borges: 64.1% favourite conversion vs a fourth-round cliff (26.3%)

Nuno Borges ranks 47 in the ATP (August 2026 snapshot) and has played 176 ATP main-draw matches in our database from 2022 to 2026. The headline number — 49.4% overall win rate — sits near break-even, but the 54.9% mark in 2026 (51 matches) shows a live uptick. The paradox worth betting on: 64.1% favourite conversion paired with a 26.3% fourth-round win rate.
Key metrics at a glance
| Metric | Value |
|---|---|
| Overall win rate | 49.4% |
| ATP rank (snapshot) | 47 |
| Matches analysed | 176 (2022–2026) |
| Best surface | Clay — 53.6% |
| Weakest surface | Grass — 42.3% |
| Grand Slam win rate | 52.6% (20–18) |
| As favourite | 64.1% (n=39) |
| As underdog | 44.2% (n=77) |
Borges's year-by-year record
| Year | Matches | Wins | Win rate |
|---|---|---|---|
| 2022 | 10 | 4 | 40.0% |
| 2023 | 19 | 5 | 26.3% |
| 2024 | 38 | 20 | 52.6% |
| 2025 | 58 | 30 | 51.7% |
| 2026 | 51 | 28 | 54.9% |

Win rate by season, Nuno Borges, 2022–2026. Source: ATP match data via tennispredictor.net
Year-to-year movement shows where the market should update fastest. The 26.3% trough in 2023, the 2024–2025 rebound, and the 54.9% 2026 run are the primary form anchors for live pricing — not a single career average.
Surface breakdown: where the edge lives
| Surface | Matches | Win rate |
|---|---|---|
| Clay | 56 | 53.6% |
| Hard | 85 | 49.4% |
| Grass | 26 | 42.3% |
| Indoors | 9 | 44.4% |

Win rate by surface, Nuno Borges, 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 | 50 | 54.0% |
| Grand Slam | 38 | 52.6% |
| Masters 1000 | 46 | 45.7% |
| ATP 500 | 42 | 45.2% |

Win rate by tournament tier, Nuno Borges, 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 | 84 | 61.9% |
| R2 | 27 | 51.9% |
| R3 | 13 | 46.2% |
| R16 | 38 | 26.3% |
| QF | 10 | 30.0% |
| SF | 3 | 33.3% |
| F | 1 | 100.0% |

Win rate by round, Nuno Borges, 2022–2026. Source: ATP match data via tennispredictor.net
Round curves separate true closers from early-round specialists. The drop from 61.9% in R1 to 26.3% at R16 is 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 |
|---|---|---|
| Medvedev | 0–4 | 0.0% |
| Rublev | 1–5 | 16.7% |
| Rune | 1–2 | 33.3% |
| Ruud | 1–2 | 33.3% |
| Cerundolo | 2–1 | 66.7% |
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 | 39 | 64.1% |
| Underdog | 77 | 44.2% |

Favourite vs underdog win rate, Nuno Borges, 2022–2026. Source: ATP match odds via tennispredictor.net
What the betting market misses about Nuno Borges
Back Nuno Borges when:
- on clay (53.6% over 56 matches)
- when priced as favourite (64.1% conversion, n=39)
- in first-round spots (61.9% over 84 matches)
- during strong 2026 form (54.9% over 51 matches)
Fade Nuno Borges when:
- on grass (42.3%)
- in R16 or later (26.3% at R16, 30.0% at QF)
- against top-tier opponents with repeated negative H2H (e.g. Medvedev 0–4)
For live slate context, open the predictions dashboard rather than relying on a static profile alone.
How our model treats Nuno Borges
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: 116 matches with usable prices). Uncertainty rises when the next match is on grass or in a deep-draw round where Borges's historical conversion collapses.
Frequently asked questions
What is Nuno Borges's overall win rate in this study?
49.4% across 176 ATP main-draw matches from 2022 to 2026.
Which surface shows the highest win rate?
Clay at 53.6% (56 matches).
How often does Nuno Borges win when installed as favourite?
64.1% over 39 favourite-priced matches in the cache (usable odds only).
How does Nuno Borges perform at Grand Slams vs regular events?
Grand Slam win rate is 52.6% (20–18), versus 49.4% overall.
Who is Nuno Borges's toughest matchup in the data?
Among repeated elite meetings: Medvedev (0–4).
When is Nuno Borges worth backing or fading based on this data?
Back when on clay (53.6% over 56 matches) / when priced as favourite (64.1% conversion, n=39) / in R1 (61.9%). Fade when on grass (42.3%) or in R16+ (26.3% at R16).
How reliable are these statistics given the sample size?
176 matches is a standard profile sample; surface and favourite splits with n≥15 are the most trustworthy rows.
How does your model handle Nuno Borges'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 2023 trough at 26.3% and the 2026 rebound at 54.9%).
Conclusion
Nuno Borges at ATP #47 is a ranks-21–50 profile defined by 49.4% overall and reliable favourite conversion at 64.1% — but with a structural R16 cliff at 26.3%. 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 grass-tour weeks to confirm whether the 2026 uptick holds. For related mid-tier profiles, see Cameron Norrie and Tomas Martin Etcheverry.
See today's match predictions with confidence scores and value signals.
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