Tennis Data & Analysis
Every serve, every stat
ATP rankings, Grand Slam results, serve analysis, and surface performance data. Tennis decoded by the numbers.
Three pillars of tennis data
The Rankings
ATP and WTA rankings with full point breakdowns. Player profiles: career titles, Grand Slam records, surface win rates, serve statistics, return statistics, head-to-head vs top 10. Season-by-season performance tracking. The raw numbers -- sortable, comparable, contextualised.
The Court
Long-form tennis journalism grounded in statistics. Surface analysis, Wimbledon history, the evolution of playing styles. Tennis as geometry, tradition, and individual drama -- the stories that live inside the statistics. Every service game treated as a narrative arc.
The Baseline
Accessible explainers on tennis analytics: first-serve percentage, break point conversion, return points won, surface speed rating, tiebreak performance. Deep-dive analysis with documented methodology. Every concept explained from first principles before the data appears.
Data-driven, editorially independent
Prelvox exists because tennis deserves better data journalism. Every match produces hundreds of data points -- serve speeds, break point conversion rates, rally lengths, surface-specific win percentages -- but most coverage reduces this richness to a final score. We believe the numbers tell deeper stories: about technique, about pressure, about how surface changes everything. Our editorial team combines data analysis with long-form storytelling to reveal what the statistics actually mean.
Founded in London, Prelvox draws on official ATP and WTA data, Grand Slam organiser statistics, and historical archives spanning 147 years of championship tennis. Every number is verified against at least two independent sources.
“The racquet doesn’t predict -- it records.”
ATP rankings snapshot
The ATP rankings are a rolling 52-week points system: a player's total is the sum of their best results across the calendar year. This means a Grand Slam title earned 12 months ago is about to drop off -- and the player must defend it or fall. The rankings below reflect this accumulation. The supplementary columns reveal how those points were earned: through titles, through consistency, or through surface dominance.
| Pos | Player | Points | Titles | Win% | Hard% | Clay% | Grass% | Form |
|---|---|---|---|---|---|---|---|---|
| 1 | Player A | 11,245 | 8 | 89.2% | 91.0% | 84.6% | 90.0% | |
| 2 | Player B | 8,870 | 5 | 84.1% | 86.3% | 82.4% | 78.5% | |
| 3 | Player C | 7,640 | 4 | 81.6% | 78.2% | 91.2% | 72.4% | |
| 4 | Player D | 6,285 | 3 | 79.4% | 82.6% | 74.8% | 84.1% | |
| 5 | Player E | 5,920 | 3 | 78.2% | 80.4% | 76.2% | 78.8% |
Player A's 91% hard-court win rate and 12.4 aces per match paint a picture of a serve-dominant player who thrives on fast surfaces. Player C's 91.2% clay win rate -- the highest on tour -- tells a different story: a baseline grinder who constructs points through rally depth. The rankings place them P1 and P3 respectively, but on Roland Garros clay, the hierarchy inverts.
Grand Slam calendar
Australian Open
Hard (GreenSet)
- Venue
- Melbourne Park
- Dates
- January
- Champion
- Player A
Roland Garros
Clay (terre battue)
- Venue
- Stade Roland Garros
- Dates
- May -- June
- Champion
- Player C
Wimbledon
Grass
- Venue
- All England Club
- Dates
- June -- July
- Champion
- Player A
US Open
Hard (DecoTurf)
- Venue
- Flushing Meadows
- Dates
- August -- September
- Champion
- Upcoming
Prelvox in numbers
The depth of our database reflects a commitment to completeness. Every match tracked, every player profiled, every Grand Slam archived -- because data without coverage is just anecdote.
Every ATP and WTA tour-level match with full statistical breakdowns.
Career stats, surface splits, serve analysis, and head-to-head records.
Australian Open, Roland Garros, Wimbledon, US Open -- every champion, every final.
Recent results
Every tour-level result with full statistics -- set scores, serve speeds, ace counts, break point conversion, and match duration. Not just who won, but how they won, and what the numbers reveal about the tactical story of the match.
31 aces in the final -- nearly one per game. Grass amplifies the serve.
Just 4 aces, but 52.8% break point conversion. On clay, the return game decides.
Hard-court dominance: 24 aces and 48.2% break point conversion in straight sets.
Wimbledon: 147 Years of Championship Data
From Spencer Gore's 1877 victory to the modern era, Wimbledon has produced 147 years of championship data. We map every champion, every seeding upset, every five-set final -- and ask whether the grass-court advantage has genuinely diminished or just changed form. The data suggests the latter: serve speeds in finals have risen from 185 km/h in the 1990s to 208 km/h in the 2020s, yet unseeded champions remain extraordinarily rare -- just four in history.
Key data points
4 unseeded champions in 147 years
35% decline in five-set finals since 2000
185 → 208 km/h average final serve speed (1990s vs 2020s)
The sport in images
What readers say
“I coach junior players and Prelvox's surface performance data has completely changed how I prepare them for different tournaments. The clay-to-hard transition data is invaluable.”
“The Wimbledon historical database is staggering. 147 years of championship data on one page, and every number is sourced. This is how tennis history should be presented.”
“I've been a tennis stats nerd for a decade but never found a site that explained first-serve percentage in a way that connected it to actual match outcomes. Prelvox does that beautifully.”
Data partners
Prelvox has commercial relationships with licensed betting operators. These relationships help fund the platform but do not influence our editorial content or statistical analysis.
Get in touch
Questions about our data, editorial enquiries, or partnership proposals -- we read every message.
8 Hatton Garden, London EC1N 8AA
+44 20 7946 0925