Rankings
Every player, every surface
Full ATP and WTA rankings with surface performance splits, serve statistics, and career data. Updated weekly.
The ATP and WTA rankings are a rolling 52-week points system. A player's total at any given moment is the sum of their best results over the past calendar year. Win a Grand Slam and you gain 2,000 points; but 12 months later, those points fall away, and you must defend them. This creates a constant cycle of accumulation and attrition that rewards both brilliance and consistency. The columns below capture not just the ranking itself, but the data behind it: surface-specific win rates, serve statistics, and recent form.
“Every surface rewrites the rules. The data shows you how.”
ATP rankings 2026
The ATP rankings below reflect the current 52-week cycle. Surface split columns reveal whether a player's points come from hard-court dominance, clay consistency, or grass-court prowess.
| Pos | Player | Points | Titles | Win% | Hard% | Clay% | Grass% | Aces/Match | 1st Sv% | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Player A | 11,245 | 8 | 89.2% | 91.0% | 84.6% | 90.0% | 12.4 | 68.2% | |
| 2 | Player B | 8,870 | 5 | 84.1% | 86.3% | 82.4% | 78.5% | 8.6 | 64.8% | |
| 3 | Player C | 7,640 | 4 | 81.6% | 78.2% | 91.2% | 72.4% | 6.2 | 62.1% | |
| 4 | Player D | 6,285 | 3 | 79.4% | 82.6% | 74.8% | 84.1% | 14.8 | 71.4% | |
| 5 | Player E | 5,920 | 3 | 78.2% | 80.4% | 76.2% | 78.8% | 10.2 | 66.9% |
Player D's 14.8 aces per match leads all top-five players, yet a 79.4% overall win rate places them fourth. The data suggests exceptional serve power without the return game to match. Player C, by contrast, averages just 6.2 aces per match but wins 91.2% on clay -- proof that on slow surfaces, the return game can neutralise even the most powerful server.
2025 season data available in the full database.
2024 season data available in the full database.
Historical data spanning the Open Era available in the full database.
Surface specialists
Player A
Highest hard-court win%
Player C
Highest clay win%
Player A
Highest grass win%
WTA rankings 2026
The WTA rankings follow the same 52-week rolling points system as the ATP. The table below captures the top five with surface-specific win rates, serve data, and recent form.
| Pos | Player | Points | Titles | Win% | Hard% | Clay% | Grass% | Aces/Match | 1st Sv% | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Player K | 9,820 | 7 | 87.4% | 89.2% | 82.1% | 86.4% | 6.8 | 66.4% | |
| 2 | Player L | 7,650 | 5 | 83.2% | 85.4% | 80.8% | 76.2% | 4.2 | 63.8% | |
| 3 | Player M | 6,280 | 3 | 79.6% | 76.4% | 88.6% | 70.2% | 3.4 | 61.2% | |
| 4 | Player N | 5,440 | 2 | 77.8% | 80.2% | 72.4% | 82.6% | 8.4 | 69.2% | |
| 5 | Player O | 4,890 | 2 | 76.4% | 78.6% | 74.2% | 72.8% | 5.6 | 64.2% |
Player K's dominance across all three surfaces -- 89.2% on hard, 82.1% on clay, 86.4% on grass -- makes her the most complete player on the WTA tour. Player M mirrors Player C on the ATP side: a clay specialist with 88.6% win rate on the surface, but a significant drop on grass (70.2%). Player N's 8.4 aces per match is the highest on the WTA tour, reflecting a serve-first approach that thrives on fast surfaces.
Serve leaders
Serve speed alone is misleading -- a 210 km/h first serve on grass generates a different advantage than the same speed on clay. The table below pairs speed with ace frequency and first-serve points won to show the full picture of serve effectiveness.
| Player | Avg 1st Serve (km/h) | Aces/Match | 1st Serve Pts Won | Double Faults/Match |
|---|---|---|---|---|
| Player D | 218 | 14.8 | 78.4% | 3.2 |
| Player H | 214 | 16.2 | 76.8% | 3.8 |
| Player A | 212 | 12.4 | 75.2% | 2.4 |
| Player E | 206 | 10.2 | 72.8% | 2.8 |
| Player G | 204 | 9.4 | 71.6% | 2.6 |
Player H leads in raw aces (16.2 per match) but also in double faults (3.8) -- a classic risk-reward profile. Player A, by contrast, averages 12.4 aces with just 2.4 double faults, suggesting precision rather than raw power. The most efficient server on tour by this measure is the one who maximises aces while minimising free points given away.
“The surface split columns in the rankings table changed everything for me. A player ranked 30th overall but 8th on clay is a completely different proposition at Roland Garros.”
“I run a tennis podcast and Prelvox is my pre-tournament research tool. The head-to-head records with surface breakdowns are exactly what I need.”