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Richard He

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San Mateo, CA
3.0C year-end 2023
i
Computer — generated by the USTA algorithm from match play
8 matches · 3W–5L · seasons 2022–2023
Match history8 matches
W
2023-06-15 · SUNNYVALE MTC 18AM3.0A · #3 Doubles · 3.0 · with Xiao Chen
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6-2, 6-4
L
2023-06-05 · SUNNYVALE MTC 18AM3.0A · #2 Doubles · 3.0 · with Cong Lu
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3-6, 1-6
L
2023-05-28 · SUNNYVALE MTC 18AM3.0A · #3 Doubles · 3.0 · with Richard Rao
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2-6, 6-7
L
2023-05-18 · SUNNYVALE MTC 18AM3.0A · #3 Doubles · 3.0 · with Yuan Pan
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7-6, 6-7, 0-1
L
2022-06-12 · SUNNYVALE MTC 18AM3.0B · #3 Doubles · 3.0 · with Peng Xi
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4-6, 1-6
W
2022-06-05 · SUNNYVALE MTC 18AM3.0B · #3 Doubles · 3.0 · with You Wu
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7-6, 7-6
W
2022-05-21 · SUNNYVALE MTC 18AM3.0B · #3 Doubles · 3.0 · with Jingfan Sun
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6-3, 7-5
L
2022-05-07 · SUNNYVALE MTC 18AM3.0B · #3 Doubles · 3.0 · with Richard Rao
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3-6, 3-6
Where you rank locallyagainst everyone at your level
Teams2 teams · 2022–2023
Over timerating by season, and how you rank
By level1 level played
3.0
37.5%
3W–5L · 45.7% of games

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

By lineusually #3 Doubles, 88% of the time
#3 Doubles
88%
7 matches
#2 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.

It’s one of the reasons why I like tennis so much. Because you have to figure it out on your own.
Roger Federer