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Sam Yang

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San Gabriel, CA
4.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
115 matches · 60W–55L · seasons 2021–2026
Match history115 matches
L
2026-10-18 · SGV Noobies B-Petrocelli-San Marino HS/SA12 · #3 Singles · 4.5
loading the estimate
2-6, 3-6
L
2026-09-27 · Noobies/Petrocelli/Fremont · #1 Doubles · 4.5 · with Navid Rastegar
loading the estimate
0-6, 1-6
W
Default
2026-09-19 · SGV Noobies-R. Lee-San Marino High/SA10 · #1 Doubles · 4.5 · with Rand Lee
doesn’t count toward your NTRP rating
6-0, 6-0
W
Default
2026-09-12 · SGV Noobies-R. Lee-San Marino High/SA10 · #1 Doubles · 4.5 · with Rand Lee
doesn’t count toward your NTRP rating
6-0, 6-0
L
2026-08-23 · SGV Noobies-R. Lee-San Marino High/SA10 · #1 Doubles · 3.5 · with Rand Lee
loading the estimate
4-6, 2-6
W
2026-08-08 · #1 Doubles · 4.5 · with Bill Petrocelli championship
loading the estimate
6-4, 6-3
W
2026-08-07 · #2 Doubles · 4.5 · with Michael Cheng championship
loading the estimate
6-3, 3-6, 1-0
L
2026-05-30 · SGV LLW Noobies- Petrocelli-San Marino HS/SA10/12 · #3 Doubles · 4.5 · with Richard Phung
loading the estimate
0-6, 1-6
L
2026-05-03 · SGV LLW Noobies- Petrocelli-San Marino HS/SA10/12 · #1 Doubles · 4.5 · with Bill Petrocelli
loading the estimate
7-6, 3-6, 0-1
L
2026-04-26 · SGV LLW Noobies- Petrocelli-San Marino HS/SA10/12 · #2 Doubles · 4.5 · with TEVIN JENKINS
loading the estimate
4-6, 2-6
W
2026-04-19 · SGV LLW Noobies- Petrocelli-San Marino HS/SA10/12 · #1 Doubles · 4.5 · with Bill Petrocelli
loading the estimate
7-5, 6-3
L
2026-03-01 · SGV Noobies B-Leitch-San Marino HS/SA12 · #2 Singles · 4.5
loading the estimate
5-7, 4-6
Where you rank locallyagainst everyone at your level
Teams38 teams · 2021–2026
Over timerating by season, and how you rank
By level7 levels played
3.0
85.7%
6W–1L · 64.2% of games
3.5
33.3%
2W–4L · 46.3% of games
4.0
60.3%
38W–25L · 55.7% of games
4.5
38.5%
10W–16L · 47.4% of games
8.0
1W–0L
not enough matches yet
7.0mixed
2W–1L
not enough matches yet
8.0mixed
0%
0W–7L · 29.5% of games

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

By lineusually #2 Doubles, 30% of the time
#2 Doubles
30%
35 matches
#1 Doubles
22%
25 matches
#3 Doubles
17%
19 matches
#1 Singles
15%
17 matches
#2 Singles
9%
10 matches
#3 Singles
5%
6 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.

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