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Naoko Mizuta

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LOS ANGELES, CA
3.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
47 matches · 20W–27L · seasons 2019–2026
Match history47 matches
W
2026-10-31 · Great Shots/Ho-Chang/Scholl · #3 Doubles · 3.0 · with Christine Chu
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6-2, 6-2
W
2026-10-17 · Great Shots/Ho-Chang/Scholl · #3 Doubles · 3.0 · with Aileen Mesina
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6-4, 6-1
W
2026-04-26 · Great Shots/Ho-Chang/Scholl · #2 Doubles · 3.0 · with Diep Ho
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6-3, 6-3
L
2026-04-18 · Great Shots/Ho-Chang/Scholl · #2 Doubles · 3.0 · with Keiko Handman
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5-7, 3-6
W
2026-01-24 · Great Shots/Ho-Chang/Scholl · #1 Doubles · 3.0 · with Keiko Handman
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6-0, 6-1
L
2026-01-17 · Great Shots/Ho-Chang/Scholl · #3 Doubles · 3.0 · with Diep Ho
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3-6, 6-2, 0-1
L
2025-12-06 · SGV Tennis Addicts -Tsai-Arroyo HS/SA8 · #1 Doubles · 3.5 · with Lilly Shuton
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1-6, 4-6
W
2025-11-01 · SGV Tennis Addicts -Tsai-Arroyo HS/SA8 · #1 Doubles · 3.5 · with Melissa Lor
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6-2, 7-5
L
2025-10-19 · SGV Tennis Addicts -Tsai-Arroyo HS/SA8 · #2 Doubles · 3.5 · with Kamala Raphael
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3-6, 2-6
L
2025-05-24 · SGV Glow and Giggles-Tsai-Arroyo HS/SU10 · #2 Doubles · 3.5 · with Melissa Lor
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5-7, 2-6
L
2025-04-27 · SGV Glow and Giggles-Tsai-Arroyo HS/SU10 · #1 Doubles · 3.5 · with Susan Lee
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6-7, 6-7
L
2025-03-23 · SGV Glow and Giggles-Tsai-Arroyo High/SA10 · #2 Doubles · 3.5 · with Claire Rifelj
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0-6, 4-6
Where you rank locallyagainst everyone at your level
Teams17 teams · 2019–2026
Over timerating by season, and how you rank
By level4 levels played
3.0
66.7%
4W–2L · 63.1% of games
3.5
40%
12W–18L · 43.7% of games
7.0mixed
37.5%
3W–5L · 40.9% of games
8.0mixed
1W–2L
not enough matches yet

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

By lineusually #3 Doubles, 34% of the time
#3 Doubles
34%
16 matches
#1 Doubles
32%
15 matches
#2 Doubles
32%
15 matches
#2 Singles
2%
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