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Waid Louie

Bellevue, WA
3.5C year-end 2025
50 matches · 25W–25L · seasons 20232026
Bump probability
3.03.54.0lowhigh

Where this rating stands today. Taller means more likely. The dashed lines are the band edges, and the three shaded areas are the three percentages below.

3.20
estimated dynamic rating
Where the rating sits now, on 11 matches this season · USTA never publishes this number
1%
down to 3.0
99%
stay 3.5
0%
up to 4.0

A 3.5 runs from 3.01 to 3.50. This rating sits in the lower half of the band, and every match moves it.

Our estimate, not a USTA figure — scale measured at this point of 2023 on 2160 players. Graded publicly in December when USTA publishes year-end ratings. It moves when you play, and occasionally when we improve the model.

Where you rank
Bellevue · 3.5
79 of 119
WA · 3.5
975 of 1460

Waid is ranked among players at the same level in the same place, by our estimated dynamic rating — not the published level, which is the same for everyone in the band. Groups smaller than five are not ranked, because a placing out of two is noise dressed as standing.

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

Waid has been a steady 3.5 across all 4 seasons on record.

3.03.52023202420252026

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. The smaller, faded points — 2023 — rest on fewer than 5 matches, where the estimate is mostly the level the player was entered at rather than anything they did on court. Read the shape, not the value.

How you rank at your level
At 3.5, Waid has gone from the 34th to the 52nd percentile of players at that level, 2024 to 2026.

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 level3 levels played
3.5
42.1%
16W–22L · 44.9% of games
4.0
60%
3W–2L · 62.5% of games
7.0mixed
85.7%
6W–1L · 59.7% of games

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

Match history50 matches
W
2026-05-29 · #2 Singles · 3.5
0.002better than expected — took 80% of games against 70% expected
6-3, 6-0
W
2026-05-22 · #2 Doubles · 3.5 · with Salena Wang
0.005below expectation — took 43% of games against 48% expected
7-6, 1-6, 1-0
W
Qiwen Hu
2026-05-14 · #1 Singles · 3.5
0.012about as expected — took 63% of games against 64% expected
6-4, 6-3
W
Alexis Neigel
2026-05-08 · #2 Singles · 3.5
+0.044better than expected — took 80% of games against 55% expected
6-1, 6-2
W
Elena Harnish
2026-05-01 · #2 Singles · 3.5
+0.031better than expected — took 62% of games against 47% expected
6-3, 7-5
W
2026-04-24 · #2 Doubles · 3.5 · with Shannen Wyman
+0.034better than expected — took 62% of games against 46% expected
6-2, 7-6
L
2026-04-09 · #2 Doubles · 3.5 · with Shannen Wyman
0.040below expectation — took 14% of games against 39% expected
6-0, 6-2
L
Erica Lerer / Sharon Lee
2026-04-03 · #1 Doubles · 3.5 · with Jennie Cecil-Moore
0.014below expectation — took 20% of games against 34% expected
6-1, 6-2
L
2026-02-12 · #1 Singles · 3.5
+0.004about as expected — took 33% of games against 36% expected
6-3, 6-3
W
Evelyn Yang / Raghav Goyalmixed
2025-09-27 · #3 Doubles · 7.0 · with Jason Buchanan
+0.000better than expected — took 63% of games against 52% expected
6-3, 6-4
W
Justin Mellish / Neesha Pinnaduwagemixed
2025-09-14 · #2 Doubles · 7.0 · with Han Kim
+0.000better than expected — took 75% of games against 56% expected
6-2, 6-2
L
Molly Fort / Courtney Martin
2025-07-20 · #1 Doubles · 3.5 · with Jennie Cecil-Moore
0.006below expectation — took 29% of games against 37% expected
6-4, 6-1
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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.