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Albert Yu

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Plano, TX
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
57 matches · 36W–21L · seasons 2019–2026
Match history57 matches
W
2026-11-01 · #1 Singles · 3.5
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6-4, 6-4
W
2026-10-31 · #1 Doubles · 4.0 · with Dongxiao Liu
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6-4, 7-5
W
2026-10-25 · #1 Singles · 3.5
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6-2, 6-2
L
2026-10-24 · #2 Doubles · 4.0 · with Kaiwei Chen
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3-6, 3-6
W
2026-09-27 · #1 Singles · 3.5
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6-0, 6-2
L
2026-09-26 · #1 Singles · 4.0
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4-6, 2-6
W
2026-09-20 · #1 Singles · 3.5
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6-1, 7-5
W
2026-09-19 · #3 Doubles · 4.0 · with Alexander Lu
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4-6, 6-2, 1-0
W
2026-09-13 · #1 Singles · 3.5
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6-1, 6-1
W
2026-09-12 · #3 Doubles · 4.0 · with Sairam Galla
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7-5, 4-6, 1-0
W
2026-07-12 · #1 Singles · 3.5 championship
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6-2, 6-3
L
2026-07-10 · #2 Singles · 3.5 championship
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6-7, 1-6
Where you rank locallyagainst everyone at your level
Teams13 teams · 2019–2027
Over timerating by season, and how you rank
By level2 levels played
3.5
66%
33W–17L · 57.4% of games
4.0
42.9%
3W–4L · 44.1% of games

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

By lineusually #1 Singles, 37% of the time
#1 Singles
37%
21 matches
#2 Singles
23%
13 matches
#1 Doubles
16%
9 matches
#2 Doubles
14%
8 matches
#3 Doubles
11%
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.

The mark of great sportsmen is not how good they are at their best, but how good they are at their worst.
Martina Navratilova