Karen Khachanov: reliable favourite conversion at 72.8%

Karen Khachanov ranks 39 in the ATP (August 2026 snapshot) and has played 239 ATP main-draw matches in our database from 2022–2026. The headline number — 57.7% overall win rate — frames a clear mid-tier profile, but the 48.6% mark in 2026 (37 matches) is the current form anchor. The paradox worth betting on: reliable favourite conversion at 72.8%.
Key metrics at a glance
| Metric | Value |
|---|---|
| Overall win rate | 57.7% |
| ATP rank (snapshot) | 39 |
| Matches analysed | 239 (2022–2026) |
| Best surface | Clay — 61.3% |
| Weakest surface | Hard — 54.9% |
| Grand Slam win rate | 69.6% (39–17) |
| As favourite | 72.8% (n=125) |
| As underdog | 36.0% (n=75) |
Khachanov's year-by-year record
| Year | Matches | Wins | Win rate |
|---|---|---|---|
| 2022 | 62 | 37 | 59.7% |
| 2023 | 37 | 23 | 62.2% |
| 2024 | 47 | 28 | 59.6% |
| 2025 | 56 | 32 | 57.1% |
| 2026 | 37 | 18 | 48.6% |

Win rate by season, Karen Khachanov, 2022–2026. Source: ATP match data via tennispredictor.net
Year-to-year movement shows where the market should update fastest. The favourite conversion at 72.8% 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 | 113 | 54.9% |
| Clay | 75 | 61.3% |
| Indoors | 26 | 57.7% |
| Grass | 25 | 60.0% |

Win rate by surface, Karen Khachanov, 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 | 56 | 69.6% |
| ATP 250 | 35 | 57.1% |
| Masters 1000 | 82 | 54.9% |
| ATP 500 | 66 | 51.5% |

Win rate by tournament tier, Karen Khachanov, 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 Andrey Rublev or Tommy Paul for other ranks-21–50 archetypes.
Round-by-round: early rounds vs deep runs
| Round | Matches | Win rate |
|---|---|---|
| R1 | 59 | 71.2% |
| R2 | 50 | 72.0% |
| R3 | 29 | 51.7% |
| R16 | 58 | 46.6% |
| QF | 27 | 44.4% |
| SF | 12 | 33.3% |
| F | 4 | 50.0% |

Win rate by round, Karen Khachanov, 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 |
|---|---|---|
| Cerundolo | 7–0 | 100.0% |
| Alcaraz | 0–6 | 0.0% |
| Djokovic | 0–5 | 0.0% |
| Tsitsipas | 1–4 | 20.0% |
| Bautista-Agut | 4–1 | 80.0% |
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 | 125 | 72.8% |
| Underdog | 75 | 36.0% |

Favourite vs underdog win rate, Karen Khachanov, 2022–2026. Source: ATP match odds via tennispredictor.net
What the betting market misses about Karen Khachanov
Back Karen Khachanov when:
- on clay (61.3% over 75 matches)
- when priced as favourite (72.8% conversion, n=125)
- in first-round spots (71.2% over 59 matches)
Fade Karen Khachanov when:
- on hard (54.9%)
- in R16 or later (46.6% at R16)
- against top-tier opponents with repeated negative H2H (e.g. Alcaraz 0–6)
For live slate context, open the predictions dashboard rather than relying on a static profile alone.
How our model treats Karen Khachanov
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: 200 matches with usable prices). Uncertainty rises when the next match is on hard or in a deep-draw round where Khachanov's historical conversion collapses.
Frequently asked questions
What is Karen Khachanov's overall win rate in this study?
57.7% across 239 ATP main-draw matches from 2022–2026.
Which surface shows the highest win rate?
Clay at 61.3% (75 matches).
How often does Karen Khachanov win when installed as favourite?
72.8% over 125 favourite-priced matches in the cache (usable odds only).
How does Karen Khachanov perform at Grand Slams vs regular events?
Grand Slam win rate is 69.6% (39–17), versus 57.7% overall.
Who is Karen Khachanov's toughest matchup in the data?
Among repeated elite meetings: Alcaraz (0–6).
When is Karen Khachanov worth backing or fading based on this data?
Back when on clay (61.3% over 75 matches) / when priced as favourite (72.8% conversion, n=125) / in first-round spots (71.2% over 59 matches). Fade when on hard (54.9%) / in R16 or later (46.6% at R16).
How reliable are these statistics given the sample size?
239 matches is a standard profile sample; surface and favourite splits with n≥15 are the most trustworthy rows.
How does your model handle Karen Khachanov'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 48.6%).
Conclusion
Karen Khachanov at ATP #39 is a ranks-21–50 profile defined by 57.7% overall and reliable favourite conversion at 72.8%. 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 Andrey Rublev and Daniil Medvedev.
See today's match predictions with confidence scores and value signals.
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