Matthew Ebert
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San Francisco, CA
63 matches · 28W–35L · seasons 2019–2026
Match history63 matches
Where you rank locallyagainst everyone at your level
Teams18 teams · 2019–2026
Over timerating by season, and how you rank
By level5 levels played
4.5
37.5%
9W–15L · 44.2% of games
8.5
44.4%
4W–5L · 45.6% of games
9.5
25%
1W–3L · 43.4% of games
8.0mixed
72.2%
13W–5L · 60.4% of games
9.0mixed
12.5%
1W–7L · 40% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #1 Doubles, 43% of the time
#1 Doubles
43%
27 matches
#2 Doubles
25%
16 matches
#2 Singles
18%
11 matches
#3 Doubles
11%
7 matches
#1 Singles
3%
2 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.
I really think a champion is defined not by their wins but by how they can recover when they fall.