| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1251. | Jason Kubler | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | 14 | 628 | 45 |
| 1252. | Eva Lys | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 13 | 618 | 48 |
| 1253. | Harald Elschenbroich | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 13 | 618 | 48 |
| 1254. | Jesper de Jong | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 9 | 578 | 64 |
| 1255. | Peter Gojowczyk | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 16 | 22 | 660 | 30 |
| 1256. | Anna Tatishvili | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 14 | 20 | 640 | 32 |
| 1257. | Illya Marchenko | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 12 | 18 | 620 | 34 |
| 1258. | Martín Vassallo Argüello | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 10 | 16 | 600 | 38 |
| 1259. | Andrea Sestini Hlaváčková | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | 12 | 560 | 47 |
| 1260. | John Austin | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 11 | 550 | 50 |
| 1261. | Maxime Cressy | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 10 | 540 | 54 |
| 1262. | Eric Fromm | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 10 | 540 | 54 |
| 1263. | Michael Russell | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 29 | 34 | 732 | 22 |
| 1264. | Daniel Brands | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 13 | 18 | 572 | 32 |
| 1265. | Margarita Betova | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 12 | 17 | 562 | 33 |
| 1266. | Marta Domachowska | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 12 | 17 | 562 | 33 |
| 1267. | Rinky Hijikata | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 10 | 15 | 542 | 36 |
| 1268. | Kenny de Schepper | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 8 | 13 | 522 | 40 |
| 1269. | Irakli Labadze | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 8 | 13 | 522 | 40 |
| 1270. | Brian Baker | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 7 | 12 | 512 | 43 |
| 1271. | Arthur Cazaux | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 10 | 492 | 49 |
| 1272. | Michael Joyce | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 10 | 492 | 49 |
| 1273. | Richard Matuszewski | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 10 | 492 | 49 |
| 1274. | Debbie Jevans | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 10 | 492 | 49 |
| 1275. | Tadeusz Nowicki | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 10 | 492 | 49 |
| 1276. | Ronald Holmberg | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 9 | 482 | 54 |
| 1277. | Bunny Bruning | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 8 | 472 | 59 |
| 1278. | Neale Fraser | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 8 | 472 | 59 |
| 1279. | Bob Green | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 7 | 462 | 66 |
| 1280. | Petra Keppeler | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 7 | 462 | 66 |
| 1281. | Claudia Pasquale | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 7 | 462 | 66 |
| 1282. | Kristin Godridge | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 11 | 15 | 494 | 33 |
| 1283. | Pat Cramer | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 10 | 14 | 484 | 35 |
| 1284. | Kelly Jones | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 8 | 12 | 464 | 39 |
| 1285. | Lawson Duncan | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 8 | 12 | 464 | 39 |
| 1286. | Juan Ignacio Londero | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 6 | 10 | 444 | 44 |
| 1287. | Veli Paloheimo | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 6 | 10 | 444 | 44 |
| 1288. | Ulf Stenlund | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | 8 | 424 | 53 |
| 1289. | Tito Vázquez | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | 8 | 424 | 53 |
| 1290. | Aliona Bolsova | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 7 | 414 | 59 |
| 1291. | Tereza Smitková | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 7 | 414 | 59 |
| 1292. | Jean-Paul Meyer | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 6 | 404 | 67 |
| 1293. | Bobby Wilson | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 6 | 404 | 67 |
| 1294. | Keith Hancock | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 1 | 5 | 394 | 79 |
| 1295. | Elvira Weisenberger | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 4 | 384 | 96 |
| 1296. | Sally Irvine | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 4 | 384 | 96 |
| 1297. | Eugenia Birioukova | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 4 | 384 | 96 |
| 1298. | Rubén Ramírez Hidalgo | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 17 | 20 | 496 | 25 |
| 1299. | Samantha Smith | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 11 | 14 | 436 | 31 |
| 1300. | Bernabé Zapata Miralles | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 8 | 11 | 406 | 37 |
Open Era Grand Slam Tennis
This site is dedicated to Grand Slam tennis stats from the Open Era – for those of us who love the numbers behind the game. Pick any group of players and see how they rank. Compare, filter, and view the same data from different angles – whether you want to explore dominance, consistency, or longevity. In short: It’s all about turning tennis history into insights you can actually play with.