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Linda Wu

BELLEVUE, WA
0.0 year-end
100 matches · 49W–51L · seasons 2019–2022
Where Linda sits
123
2.5
1173
3.0
1525
3.5
1013
4.0
423
4.5
66
5.0

Linda is one of 0 women at 0.0 in this cohort of 4323. Levels at or below 0.0 account for 100% of them. Shown for women only: NTRP is a gender-specific standard, so a pooled curve would compare against the wrong bar.

Over timerating by season, and how you rank
Rating by season

Linda has played at 3.5, 4.0 across 3 seasons — 1 move up and 0 down.

3.03.54.0201920202021

The line is our estimate; the horizontal lines are level boundaries, so crossing one is a bump. Hollow points are years we inferred from the level played the following season, because USTA publishes a current rating but no history.

How you rank at your level
At 3.5, Linda has gone from the 74th to the 84th percentile of players at that level, 2019 to 2020.

Percentile compares the same level in the same season, by share of games won. Mixed is shown for context — USTA rules exclude it from your adult rating unless mixed is all you play.

By level6 levels played
3.5
69.2%
18W–8L · 59.2% of games
4.0
0%
0W–8L · 33.8% of games
6.5mixed
53.3%
8W–7L · 54.6% of games
7.0mixed
62.5%
10W–6L · 51.3% of games
7.5mixed
38.9%
7W–11L · 48.8% of games
8.0mixed
36.4%
4W–7L · 43.7% of games

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

Match history100 matches
L
2022-07-31 · #1 Doubles · 7.5 · with Keith Goldstein
+0.000below expectation — took 28% of games against 38% expected
6-0, 7-5
W
2022-07-17 · #2 Doubles · 7.5 · with Keith Goldstein
+0.000about as expected — took 57% of games against 56% expected
6-4, 7-6
W
2022-06-04 · #3 Doubles · with Leonardo Desouza
+0.000below expectation — took 55% of games against 62% expected
5-7, 6-3, 1-0
L
2022-06-01 · #1 Doubles · with Timothy Lee
+0.000below expectation — took 25% of games against 44% expected
6-2, 6-2
W
2022-05-22 · #1 Doubles · 8.0 · with Majid Mirzazadeh
+0.000better than expected — took 54% of games against 44% expected
6-4, 6-7, 1-0
W
Brett Boone / Paige Ginnmixed
2022-05-15 · #2 Doubles · 7.0 · with Timothy Lee
+0.000about as expected — took 67% of games against 64% expected
6-2, 6-4
L
Lesley Chan / Jayden Atkinmixed
2022-05-15 · #1 Doubles · 8.0 · with Majid Mirzazadeh
+0.000about as expected — took 48% of games against 45% expected
7-5, 4-6, 1-0
W
2022-05-08 · #2 Doubles · 7.0 · with Enhua Chen
+0.000below expectation — took 43% of games against 57% expected
1-6, 7-6, 1-0
W
George Babakitis / Sydney Babakitismixed
2022-04-24 · #1 Doubles · 7.0 · with Timothy Lee
+0.000better than expected — took 67% of games against 44% expected
6-2, 6-4
L
Lesley Chan / Michael Borensteinmixed
2022-04-10 · #3 Doubles · 8.0 · with Justo Martinez
+0.000below expectation — took 20% of games against 33% expected
6-1, 6-2
W
Kanahele Montizor / Victoria Nienhuismixed
2022-04-03 · #2 Doubles · 7.0 · with Lee Lanterman
+0.000about as expected — took 55% of games against 51% expected
6-3, 5-7, 1-0
L
Michael Delozier / Priscila Cergolmixed
2022-04-03 · #3 Doubles · 8.0 · with Shane Littlefield
+0.000below expectation — took 46% of games against 53% expected
7-6, 7-6
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Not affiliated with or endorsed by the USTA. Rating shown is the published USTA year-end figure; match data is from USTA TennisLink.