← Search

Melvin Pascoguin

Add to scout listFree account. Monday email when they play.
San Diego, CA
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
66 matches · 27W–39L · seasons 2022–2026
Match history66 matches
W
2026-11-01 · SD 3.5 UCRC (1PM)/ Chin · #3 Doubles · 3.5 · with Amir Naghshineh-Pour
loading the estimate
6-2, 3-6, 1-0
L
2026-10-18 · SD 3.5 UCRC (1PM)/ Chin · #1 Doubles · 3.5 · with Keven Nguyen
loading the estimate
1-6, 6-3, 0-1
W
2026-10-11 · SD 3.5 UCRC (1PM)/ Chin · #1 Doubles · 3.5 · with Keven Nguyen
loading the estimate
6-4, 6-4
L
2026-10-04 · SD 3.5 UCRC (1PM)/ Chin · #3 Doubles · 3.5 · with Chris Anthes
loading the estimate
6-7, 3-6
W
2026-09-27 · SD 3.5 UCRC (1PM)/ Chin · #1 Doubles · 3.5 · with Amir Naghshineh-Pour
loading the estimate
6-4, 6-3
W
2026-06-14 · SD 3.5 UCRC (3:2 11AM)/ Chin · #3 Doubles · 3.5 · with Bryan Yung
loading the estimate
6-1, 6-0
L
2026-05-31 · SD 3.5 UCRC (3:2 11AM)/ Chin · #2 Singles · 3.5
loading the estimate
5-7, 0-6
W
2026-05-24 · SD 3.5 UCRC (3:2 11AM)/ Chin · #1 Doubles · 3.5 · with Bryan Yung
loading the estimate
2-6, 6-1, 1-0
L
2026-05-17 · SD 3.5 UCRC (3:2 11AM)/ Chin · #1 Doubles · 3.5 · with Amir Naghshineh-Pour
loading the estimate
1-6, 3-6
W
Default
2026-05-10 · SD 3.5 UCRC (3:2 11AM)/ Chin · #2 Doubles · 3.5 · with Chris Anthes
doesn’t count toward your NTRP rating
6-0, 6-0
L
2026-05-03 · SD 3.5 UCRC (3:2 11AM)/ Chin · #2 Singles · 3.5
loading the estimate
2-6, 2-6
L
2026-04-26 · SD 3.5 UCRC (3:2 11AM)/ Chin · #1 Singles · 3.5
loading the estimate
6-2, 1-6, 0-1
Where you rank locallyagainst everyone at your level
Teams13 teams · 2022–2026
Over timerating by season, and how you rank
By level4 levels played
3.5
42.2%
19W–26L · 44.9% of games
7.0mixed
47.1%
8W–9L · 52.7% of games
7.5mixed
0W–2L
not enough matches yet
8.0mixed
0W–2L
not enough matches yet

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

By lineusually #1 Doubles, 41% of the time
#1 Doubles
41%
27 matches
#2 Doubles
24%
16 matches
#3 Doubles
21%
14 matches
#1 Singles
8%
5 matches
#2 Singles
6%
4 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.

The mark of great sportsmen is not how good they are at their best, but how good they are at their worst.
Martina Navratilova