| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2201. | Keith Richardson | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 120 | 60 |
| 2202. | Hideko Goto | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 120 | 60 |
| 2203. | Marion Cristiani | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 120 | 60 |
| 2204. | Wendy Appleby | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 120 | 60 |
| 2205. | Ken Stuart | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 120 | 60 |
| 2206. | Chuck McKinley | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 120 | 60 |
| 2207. | Betty Rosenquest Pratt | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 120 | 60 |
| 2208. | Pierre Darmon | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 120 | 60 |
| 2209. | Moïse Kouamé | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2210. | Jérôme Kym | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2211. | August Holmgren | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2212. | Henrique Rocha | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2213. | Natalija Stevanović | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2214. | Genaro Alberto Olivieri | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2215. | Beatrice Capra | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2216. | Julien Jeanpierre | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2217. | Surina De Beer | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2218. | Pablo Campana | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2219. | Sergio Cortés | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2220. | Stacey Schefflin | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2221. | José Clavet | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2222. | Dale Houston | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2223. | Miranda Yates | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2224. | Birgitte Hermansen | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2225. | Pam Bailey | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2226. | Silvana Urroz | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2227. | Sharon Pichbeck | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2228. | Michelle Berrigan | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2229. | Trevor Little | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2230. | Lotta Stenberg | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2231. | Merrilyn Robinson | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2232. | Daryl Gralka | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2233. | Masako Yokobori | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2234. | Toshiko Sade | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2235. | Katerleen Szeman | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2236. | Nellemieke Brouwer | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2237. | Jill Schwikert | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2238. | Moira Whitely | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2239. | Patricia King | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2240. | Robyn Knobel | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2241. | Patricia Billing | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2242. | Aleksandra Ivanova | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2243. | Helen Taylor | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2244. | Kati Athorne | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2245. | Helga Hoesl | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2246. | Matthias Werren | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2247. | Valerie Caulley | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2248. | Carol Langsford | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2249. | Anita Van Deventer | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2250. | Harold Hunt | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
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.