Christine Chen
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Arcadia, CA
200 matches · 110W–90L · seasons 2019–2026
Match history200 matches
Where you rank locallyagainst everyone at your level
Teams84 teams · 2019–2026
Fuzz Off/Belcher-Hartstein/CSUN
Fuzz Off/Belcher/VNSO
LA - Slay All Day - Fall
OC Fullerton - Josephine
SFV LLW Fuzz Off/Belcher/Balboa
SGV LLW Mo Better Tennis-DeRosa-WN/SU10
SGV LLW Mo Better Tennis-DeRosa-WN/SU10
SGV Tennis Addicts-James Lee-Arroyo HS/SU8
SGV Wild Cards 2-Collier-Arroyo High /SU
SGV Wild Cards too-Tang-Arroyo High /SU12
SoCal/Hartstein/40&Over4.5W
Supreme Courters High Tri/Heum/CSUN
Over timerating by season, and how you rank
By level6 levels played
0.0
0W–3L
not enough matches yet
3.5
46.2%
6W–7L · 48.8% of games
4.5
62.7%
99W–59L · 55.9% of games
5.0
0%
0W–15L · 27% of games
9.0
1W–1L
not enough matches yet
9.0mixed
44.4%
4W–5L · 52.4% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #1 Doubles, 46% of the time
#1 Doubles
46%
92 matches
#2 Doubles
28%
55 matches
#3 Doubles
21%
41 matches
#4 Doubles
2%
4 matches
#3 Female Doubles
2%
3 matches
#1 Singles
1%
2 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.
What matters isn’t how well you play when you’re playing well. What matters is how well you play when you’re playing badly.