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Demmi Setyono

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GLENDORA, CA
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
130 matches · 76W–54L · seasons 2021–2026
Match history130 matches
L
2026-10-10 · FLoBs/Galvagni-deCastro/Scholl · #1 Doubles · 4.0 · with May de Castro
loading the estimate
3-6, 1-6
L
2026-09-26 · SGV Tennis Addictzz-S.ChangArroyo HS/SA8 · #2 Doubles · 2.5 · with David Lam mixed
doesn’t count toward your NTRP rating
6-3, 3-6, 0-1
L
2026-09-12 · SGV FLoBS-Galvagni-Scholl CYN/SU8 · #2 Doubles · 3.5 · with Leigh Apel
loading the estimate
3-6, 4-6
W
2026-08-29 · SGV Tennis Addicts Hamilton-S Chang-Arroyo HS-SU12 · #1 Doubles · 2.5 · with Lia Durham
loading the estimate
6-3, 6-0
W
2026-08-23 · SGV Tennis Addicts Hamilton-S Chang-Arroyo HS-SU12 · #1 Doubles · 3.5 · with Michelle Wong
loading the estimate
6-1, 6-2
L
2026-06-29 · FLoBs/Galvagni-de Castro/Scholl · #1 Singles · 4.0
loading the estimate
1-6, 1-6
L
2026-06-28 · FLoBs/Galvagni-de Castro/Scholl · #1 Singles · 4.0
loading the estimate
1-6, 0-6
L
2026-06-21 · FLoBs/Galvagni-de Castro/Scholl · #1 Singles · 4.0
loading the estimate
1-6, 7-6, 0-1
L
2026-06-21 · SGV FLoBS-Galvagni-Scholl/SA8:30 · #1 Doubles · 3.5 · with Keum Ko
loading the estimate
3-6, 4-6
L
2026-06-07 · SGV Tennis Addicts-James Lee-Arroyo HS/SU12 · #2 Doubles · 4.0 · with Alexandra Steele Cooper
loading the estimate
6-7, 4-6
L
2026-06-06 · SGV FLoBS-Galvagni-Scholl/SA8:30 · #1 Singles · 3.5
loading the estimate
1-6, 1-6
L
2026-05-31 · SGV FLoBS-Galvagni-Scholl/SA8:30 · #2 Singles · 3.5
loading the estimate
2-6, 3-6
Where you rank locallyagainst everyone at your level
Teams48 teams · 2021–2026
Over timerating by season, and how you rank
By level11 levels played
2.5
72.7%
8W–3L · 61.2% of games
3.0
63.6%
28W–16L · 60% of games
3.5
59.1%
26W–18L · 55.2% of games
4.0
28.6%
2W–5L · 41.9% of games
2.5mixed
50%
2W–2L · 56.5% of games
3.0mixed
1W–1L
not enough matches yet
5.0mixed
1W–1L
not enough matches yet
5.5mixed
2W–0L
not enough matches yet
6.0mixed
1W–2L
not enough matches yet
7.0mixed
57.1%
4W–3L · 49.6% of games
8.0mixed
0W–3L
not enough matches yet

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

By lineusually #1 Singles, 27% of the time
#1 Singles
27%
35 matches
#2 Doubles
24%
31 matches
#1 Doubles
19%
24 matches
#2 Singles
15%
20 matches
#3 Doubles
15%
19 matches
Singles
1%
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.

You always want to win. That is why you play tennis, because you love the sport and try to be the best you can.
Roger Federer