| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 851. | Anne Coleman | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 270 | 90 |
| 852. | Rita Bentley | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 270 | 90 |
| 853. | Sandra Walsham | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 270 | 90 |
| 854. | Kerstin Seelbach | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 270 | 90 |
| 855. | Linda Cassell | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 260 | 130 |
| 856. | Brenda Catton | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 260 | 130 |
| 857. | Cathy Griffiths | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 260 | 130 |
| 858. | Helen Worland | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 260 | 130 |
| 859. | Cheryl Norquay | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 260 | 130 |
| 860. | Adrienne Avis | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 260 | 130 |
| 861. | Darlene Hard | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 260 | 130 |
| 862. | Silke Meier | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 15 | 31 | 1330 | 43 |
| 863. | Louise Field | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 10 | 23 | 1070 | 47 |
| 864. | Stéphanie Foretz | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 28 | 40 | 1180 | 30 |
| 865. | Sofia Arvidsson | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 19 | 31 | 1090 | 35 |
| 866. | Meilen Tu | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 19 | 31 | 1090 | 35 |
| 867. | Tímea Babos | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 22 | 33 | 1050 | 32 |
| 868. | Mathilde Johansson | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 16 | 26 | 920 | 35 |
| 869. | Anhelina Kalinina | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 11 | 21 | 870 | 41 |
| 870. | Arantxa Parra Santonja | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 10 | 20 | 860 | 43 |
| 871. | Martina Muller | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 19 | 850 | 45 |
| 872. | Yvonne Meusburger | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 14 | 23 | 830 | 36 |
| 873. | Rebecca Peterson | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 12 | 21 | 810 | 39 |
| 874. | Kim Jones | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 17 | 770 | 45 |
| 875. | Hu Na | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 16 | 760 | 48 |
| 876. | Adriana Villagrán | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 16 | 760 | 48 |
| 877. | Caty McNally | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 4 | 13 | 730 | 56 |
| 878. | Sandra Cacic | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 19 | 27 | 810 | 30 |
| 879. | Lucie Hradecká | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 18 | 26 | 800 | 31 |
| 880. | Debbie Graham | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 13 | 21 | 750 | 36 |
| 881. | Claire Liu | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 10 | 18 | 720 | 40 |
| 882. | Antonella Serra Zanetti | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 15 | 690 | 46 |
| 883. | Ann Devries | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 14 | 680 | 49 |
| 884. | Stefanie Vögele | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 26 | 33 | 810 | 25 |
| 885. | Clare Wood | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 23 | 30 | 780 | 26 |
| 886. | Stéphanie Cohen-Aloro | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 17 | 24 | 720 | 30 |
| 887. | Noëlle van Lottum | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 17 | 24 | 720 | 30 |
| 888. | Veronika Martinek | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 16 | 23 | 710 | 31 |
| 889. | Laurence Courtois | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 15 | 22 | 700 | 32 |
| 890. | Radka Bobková | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 13 | 20 | 680 | 34 |
| 891. | Heather Ludloff | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 13 | 20 | 680 | 34 |
| 892. | Rene Simpson | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 12 | 19 | 670 | 35 |
| 893. | Tara Snyder | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 9 | 16 | 640 | 40 |
| 894. | Louise Allen | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 7 | 14 | 620 | 44 |
| 895. | Évelyne Terras | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 0 | 7 | 550 | 79 |
| 896. | Anne Keothavong | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 18 | 24 | 660 | 28 |
| 897. | Alina Jidkova | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 17 | 23 | 650 | 28 |
| 898. | Anastasiya Yakimova | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 16 | 22 | 640 | 29 |
| 899. | Cătălina Cristea | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 16 | 22 | 640 | 29 |
| 900. | Fang Li | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 16 | 22 | 640 | 29 |
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.