Tommy Paul: reliable favourite conversion at 78.0%

Tommy Paul ranks 24 in the ATP (August 2026 snapshot) and has played 270 ATP main-draw matches in our database from 2022–2026. The headline number — 65.9% overall win rate — frames a clear mid-tier profile, but the 68.5% mark in 2026 (54 matches) shows a live uptick. The paradox worth betting on: reliable favourite conversion at 78.0%.
Key metrics at a glance
| Metric | Value |
|---|---|
| Overall win rate | 65.9% |
| ATP rank (snapshot) | 24 |
| Matches analysed | 270 (2022–2026) |
| Best surface | Indoors — 75.0% |
| Weakest surface | Clay — 61.4% |
| Grand Slam win rate | 70.8% (46–19) |
| As favourite | 78.0% (n=132) |
| As underdog | 47.9% (n=96) |
Paul's year-by-year record
| Year | Matches | Wins | Win rate |
|---|---|---|---|
| 2022 | 62 | 36 | 58.1% |
| 2023 | 55 | 35 | 63.6% |
| 2024 | 56 | 41 | 73.2% |
| 2025 | 43 | 29 | 67.4% |
| 2026 | 54 | 37 | 68.5% |

Win rate by season, Tommy Paul, 2022–2026. Source: ATP match data via tennispredictor.net
Year-to-year movement shows where the market should update fastest. The favourite conversion at 78.0% 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 | 145 | 65.5% |
| Clay | 57 | 61.4% |
| Grass | 44 | 68.2% |
| Indoors | 24 | 75.0% |

Win rate by surface, Tommy Paul, 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 | 65 | 70.8% |
| ATP 250 | 58 | 65.5% |
| ATP 500 | 62 | 64.5% |
| Masters 1000 | 85 | 63.5% |

Win rate by tournament tier, Tommy Paul, 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 Frances Tiafoe or Francisco Cerundolo for other ranks-21–50 archetypes.
Round-by-round: early rounds vs deep runs
| Round | Matches | Win rate |
|---|---|---|
| R1 | 59 | 79.7% |
| R2 | 49 | 79.6% |
| R3 | 35 | 54.3% |
| R16 | 58 | 67.2% |
| QF | 39 | 51.3% |
| SF | 20 | 50.0% |
| F | 10 | 40.0% |

Win rate by round, Tommy Paul, 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 | 2–6 | 25.0% |
| Alcaraz | 2–5 | 28.6% |
| De Minaur | 2–5 | 28.6% |
| Davidovich Fokina | 6–0 | 100.0% |
| Brooksby | 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 | 132 | 78.0% |
| Underdog | 96 | 47.9% |

Favourite vs underdog win rate, Tommy Paul, 2022–2026. Source: ATP match odds via tennispredictor.net
What the betting market misses about Tommy Paul
Back Tommy Paul when:
- on indoors (75.0% over 24 matches)
- when priced as favourite (78.0% conversion, n=132)
- in first-round spots (79.7% over 59 matches)
- during strong 2026 form (68.5% over 54 matches)
Fade Tommy Paul when:
- on clay (61.4%)
- in R3 or later (54.3% at R3)
- against top-tier opponents with repeated negative H2H (e.g. Cerundolo 2–6)
For live slate context, open the predictions dashboard rather than relying on a static profile alone.
How our model treats Tommy Paul
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: 228 matches with usable prices). Uncertainty rises when the next match is on clay or in a deep-draw round where Paul's historical conversion collapses.
Frequently asked questions
What is Tommy Paul's overall win rate in this study?
65.9% across 270 ATP main-draw matches from 2022–2026.
Which surface shows the highest win rate?
Indoors at 75.0% (24 matches).
How often does Tommy Paul win when installed as favourite?
78.0% over 132 favourite-priced matches in the cache (usable odds only).
How does Tommy Paul perform at Grand Slams vs regular events?
Grand Slam win rate is 70.8% (46–19), versus 65.9% overall.
Who is Tommy Paul's toughest matchup in the data?
Among repeated elite meetings: Cerundolo (2–6).
When is Tommy Paul worth backing or fading based on this data?
Back when on indoors (75.0% over 24 matches) / when priced as favourite (78.0% conversion, n=132) / in first-round spots (79.7% over 59 matches). Fade when on clay (61.4%) / in R3 or later (54.3% at R3).
How reliable are these statistics given the sample size?
270 matches is a standard profile sample; surface and favourite splits with n≥15 are the most trustworthy rows.
How does your model handle Tommy Paul'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 68.5%).
Conclusion
Tommy Paul at ATP #24 is a ranks-21–50 profile defined by 65.9% overall and reliable favourite conversion at 78.0%. 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 Frances Tiafoe and Brandon Nakashima.
See today's match predictions with confidence scores and value signals.
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