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Miwa Nagai

Seattle, WA
3.5C year-end 2025
159 matches · 113W–46L · 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.

3.43
estimated dynamic rating
Where the rating sits now, on 38 matches this season · USTA never publishes this number
0%
down to 3.0
81%
stay 3.5
19%
up to 4.0
Projected to December: 0% down · 95% stay · 5% up, from a year-end estimate of 3.36. Lower than today’s 3.43 because form regresses — players this far into their band partway through a season have historically finished nearer the middle of it. Keep playing at this level and the numbers above are the ones that hold.

A 3.5 runs from 3.01 to 3.50. This rating sits in the top 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
Seattle · 3.5
42 of 256
WA · 3.5
210 of 1209

Miwa 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

Miwa has played at 3.0, 3.5 across 4 seasons — 1 move up and 0 down.

2.53.03.52023202420252026

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.

How you rank at your level
At 3.5, Miwa has gone from the 83rd to the 69th 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 level5 levels played
3.0
86.5%
32W–5L · 69.2% of games
3.5
72.1%
49W–19L · 58.5% of games
4.0
50%
6W–6L · 45.7% of games
6.0mixed
57.1%
8W–6L · 56.2% of games
7.0mixed
64.7%
11W–6L · 55.1% of games

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

Match history159 matches
W
2026-07-30 · #1 Singles · 3.5
+0.001about as expected — took 53% of games against 54% expected
7-5, 1-2
W
2026-07-24 · #3 Doubles · 7.0 · with Anand Kancherla
+0.000below expectation — took 59% of games against 67% expected
7-6, 6-3
W
2026-07-19 · #3 Doubles · 7.0 · with Scott Johnson
+0.000below expectation — took 45% of games against 53% expected
7-5, 1-6, 1-0
W
Jade Phan / Guy Jangmixed
2026-07-11 · #1 Doubles · 7.0 · with Russel Hercules
+0.000about as expected — took 65% of games against 61% expected
6-1, 7-6
L
2026-07-10 · #1 Doubles · 3.5 · with Yuko Kitsis
0.031below expectation — took 53% of games against 62% expected
2-6, 6-4, 1-0
W
2026-07-05 · #3 Doubles · 7.0 · with Warren Yasutake
+0.000better than expected — took 80% of games against 59% expected
6-2, 6-1
L
Jimena Diaz
2026-06-28 · #1 Singles · 3.5
0.009about as expected — took 47% of games against 50% expected
7-5, 1-2
W
2026-06-27 · #2 Doubles · 7.0 · with Russel Hercules
+0.000better than expected — took 68% of games against 48% expected
6-0, 7-6
W
N/Amixed
2026-06-20 · #1 Doubles · 7.0 · with Mihai Petriuc
+0.000better than expected — took 100% of games against 82% expected
6-0, 6-0
L
2026-06-18 · #1 Doubles · 3.5 · with Daye Chung
+0.004about as expected — took 52% of games against 49% expected
7-5, 2-6, 1-0
W
Grace Zheng
2026-05-17 · #1 Singles · 3.5
+0.021better than expected — took 63% of games against 52% expected
6-3, 6-4
W
Meagan Milca
2026-05-15 · #1 Singles · 3.5
+0.034better than expected — took 75% of games against 56% expected
6-2, 3-1
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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.