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Chandrika Maliyagoda

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Tucson, AZ
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
150 matches · 63W–87L · seasons 2018–2026
Match history150 matches
W
2026-10-27 · Perfect Storm · #2 Singles · 4.0
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7-6, 7-6
L
2026-10-23 · Perfect Storm · #2 Singles · 4.0
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1-6, 3-6
L
2026-05-30 · Aces · #1 Singles · 3.5
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4-6, 6-2, 0-1
L
2026-05-16 · Aced · #1 Singles · 4.0
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1-6, 2-6
L
2026-05-09 · Aces · #1 Singles · 3.5
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0-6, 4-6
W
2026-04-25 · Aces · #2 Singles · 3.5
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7-6, 6-1
W
2026-04-22 · Aces · #2 Doubles · 3.5 · with Kristina Burdine
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6-2, 7-6
L
2026-04-21 · Aced · #2 Doubles · 4.0 · with Suo Ji
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2-6, 4-6
W
2026-04-18 · Aces · #1 Singles · 3.5
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6-0, 6-0
L
2026-04-11 · 40 & Fierce Aces · #3 Doubles · 3.5 · with Kathryn Verna championship
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2-6, 2-6
L
2026-03-25 · 40 & Fierce Aces · #2 Doubles · 3.5 · with Mary Cunningham
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6-7, 6-3, 0-1
W
2026-03-21 · 40 & Fierce Aces · #1 Doubles · 3.5 · with Diane Burch
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2-6, 6-4, 1-0
Where you rank locallyagainst everyone at your level
Teams14 teams · 2019–2027
Over timerating by season, and how you rank
By level4 levels played
3.0
94.4%
17W–1L · 65.2% of games
3.5
47.9%
34W–37L · 49% of games
4.0
17.1%
7W–34L · 34.1% of games
7.0mixed
25%
5W–15L · 42% of games

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

By lineusually #1 Singles, 35% of the time
#1 Singles
35%
53 matches
#2 Singles
21%
31 matches
#2 Doubles
19%
29 matches
#3 Doubles
15%
22 matches
#1 Doubles
10%
15 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.

Start where you are. Use what you have. Do what you can.
Arthur Ashe