GOAT lab
Trophy counts look similar — opposition quality doesn't. Green marks the best value in each row. Opponent ranks are as of match time; walkovers excluded. Add players to the comparison with the pickers.
| Metric | 🇷🇸 Novak Djokovic | 🇪🇸 Rafael Nadal | 🇨🇭 Roger Federer |
|---|---|---|---|
| GOAT points | 180,000 | 151,410 | 168,115 |
| Titles | 101 | 92 | 103 |
| Grand Slams | 24 | 22 | 20 |
| Top-10 wins | 265 | 186 | 224 |
| Win % vs Top-10 | 68.5% | 63.9% | 64.6% |
| Wins over world No. 1 | 16 | 23 | 10 |
| Median opp. rank, Slam QF+ | 6 | 7 | 7 |
| Mean opp. rank, Slam QF+ | 13.4 | 12.8 | 14.5 |
| Top-10 beaten per title run | 1.78 | 1.29 | 1.36 |
| Slam finals won vs Slam champions | 17 | 16 | 16 |
| Peak Elo | 2,572 | 2,507 | 2,547 |
| Peak Elo — hard | 2,494 | 2,369 | 2,472 |
| Peak Elo — clay | 2,435 | 2,565 | 2,359 |
| Peak Elo — grass | 2,258 | 2,165 | 2,309 |
| Surface balance (weakest/strongest) | 76.3 | 62.4 | 83.2 |
Player shapes
Six dimensions, normalized to the all-time best in each: surface peak Elos, win rate vs Top-10, best three-year window, and career GOAT points. A balanced great fills the hexagon; a specialist spikes.
Where the GOAT points came from
Share of each player's GOAT points by surface, against the share of points the tour actually offers ("calendar"). A player far above the calendar share on one surface leans on it.
Era strength
Average career GOAT points of every player who held a top-10 ranking that season — how much all-time greatness stood between you and a trophy. Shaded bands mark the compared players' careers. Recent seasons read low because active careers are still accumulating points.
Novak Djokovic Rafael Nadal Roger Federer
Methodology
Top-10 / No. 1 records use opponents' rankings as of match time, walkovers excluded. Top-10 beaten per title run divides all top-10 wins at title-winning events by total titles. Peak Elo per surface folds carpet into hard. Surface balance = the weakest surface's peak-Elo edge over baseline (1500) as a percentage of the strongest surface's edge — deliberately Elo-based, because hard courts host most of the calendar and raw points shares would flatter clay-heavy careers. Radar axes are each normalized to the all-time best on that axis (win rate vs Top-10 normalized to 72%). Era strength = the average career GOAT points of every player who held a top-10 ranking that season; recent seasons read low because active careers are still accumulating.