Pam Dineva
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San Francisco, CA
99 matches · 48W–51L · seasons 2019–2026
Match history99 matches
Where you rank locallyagainst everyone at your level
Teams23 teams · 2019–2026
Over timerating by season, and how you rank
By level6 levels played
3.5
58.6%
17W–12L · 51.5% of games
4.0
43.8%
7W–9L · 47.3% of games
6.5
50%
4W–4L · 55.6% of games
7.5
50%
12W–12L · 49.7% of games
7.0mixed
40%
2W–3L · 42.3% of games
8.0mixed
20%
1W–4L · 41.9% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #2 Doubles, 36% of the time
#2 Doubles
36%
36 matches
#1 Doubles
23%
23 matches
#3 Doubles
22%
22 matches
Singles
12%
12 matches
#1 Singles
6%
6 matches
How often, across every team and every match we hold — including ones that do not count toward a rating. Advanced stats has a court-position table too, and it answers a different question: how well you do there, over matches that count. A team’s own page shows how that one team uses you.
Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.
It’s one of the reasons why I like tennis so much. Because you have to figure it out on your own.