Feng Li
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San Jose, CA
12 matches · 10W–2L · seasons 2019–2019
Match history12 matches
Where you rank locallyagainst everyone at your level
Teams4 teams · 2019–2019
Over timerating by season, and how you rank
By level2 levels played
3.5
80%
8W–2L · 62.3% of games
4.0
2W–0L
not enough matches yet
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #1 Singles, 58% of the time
#1 Singles
58%
7 matches
#3 Doubles
25%
3 matches
#2 Doubles
8%
1 match
#2 Singles
8%
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.
Tennis is mostly mental. You win or lose the match before you even go out there.