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Melissa Blume

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Chevy Chase, MD
3.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
8 matches · 5W–3L · seasons 2023–2026
Match history8 matches
W
2026-03-19 · Rowan - Bethesda Ballers · #2 Doubles · 3.5 · with Deanna Ingis
loading the estimate
6-2, 6-1
L
2026-02-18 · Rowan - Bethesda Ballers · #2 Doubles · 3.5 · with Laura O'Keefe
loading the estimate
2-6, 2-6
W
2026-01-12 · Rowan - Bethesda Ballers · #2 Doubles · 3.5 · with Laura O'Keefe
loading the estimate
4-6, 7-5, 1-0
W
2023-03-02 · BCC · #3 Doubles · 3.5 · with Gina Apolenis
loading the estimate
6-3, 7-5
L
2023-02-23 · BCC · #1 Doubles · 3.5 · with Melanie Wine
loading the estimate
1-6, 1-6
W
2023-02-17 · BCC · #3 Doubles · 3.5 · with Jill Silverberg Wiener
loading the estimate
7-6, 6-4
L
2023-02-10 · BCC · #3 Doubles · 3.5 · with Jill Silverberg Wiener
loading the estimate
3-6, 4-6
W
2023-02-01 · BCC · #2 Doubles · 3.5 · with Melanie Wine
loading the estimate
6-2, 6-2
Where you rank locallyagainst everyone at your level
Teams2 teams · 2023–2026
Over timerating by season, and how you rank
By level1 level played
3.5
62.5%
5W–3L · 51% of games

Games won matters more than matches won — NTRP adjusts on margins.

By lineusually #2 Doubles, 50% of the time
#2 Doubles
50%
4 matches
#3 Doubles
38%
3 matches
#1 Doubles
13%
1 match

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.

Experience is a big word. I think it comes with time, and I have that.
Serena Williams