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Young-Mook Lee

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San Diego, CA
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
124 matches · 67W–57L · seasons 2019–2026
Match history124 matches
L
2026-10-04 · SDNC 3.5 RPTC/ Schneider · #3 Doubles · 3.5 · with Sam Madamba
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6-0, 2-6, 0-1
W
2026-09-13 · SDNC 3.5 RPTC/ Schneider · #2 Doubles · 3.5 · with William Milligan
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6-3, 6-7, 1-0
W
2026-06-14 · SDNC 3.5 RPTC (3:2)/ Schneider · #3 Doubles · 3.5 · with William Milligan
loading the estimate
6-7, 7-5, 1-0
L
2026-05-31 · SDNC 3.5 RPTC (3:2)/ Schneider · #3 Doubles · 3.5 · with Deepak Challa
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6-3, 5-7, 0-1
W
2026-05-24 · SDNC 3.5 RPTC (3:2)/ Schneider · #3 Doubles · 3.5 · with Robert Guerieri
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6-1, 6-1
W
2026-04-12 · SDNC 3.5 RPTC (3:2)/ Schneider · #2 Doubles · 3.5 · with Sam Madamba
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6-4, 6-4
L
2026-04-05 · SDNC 3.5 RPTC (3:2)/ Schneider · #3 Doubles · 3.5 · with Jim Chen
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3-6, 4-6
L
2026-03-15 · SDNC 3.5 RPTC (3:1)/ Patwardhan · #2 Doubles · 3.5 · with John Noerenberg
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3-6, 6-3, 0-1
W
2026-03-08 · SDNC 3.5 RPTC (3:1)/ Patwardhan · #3 Doubles · 3.5 · with Manny Vega
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7-6, 6-2
L
2026-02-22 · SDNC 3.5 RPTC (3:1)/ Patwardhan · #1 Singles · 3.5
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1-6, 5-7
W
2026-02-01 · SDNC 3.5 RPTC (3:1)/ Patwardhan · #3 Doubles · 3.5 · with Ronnie Reyno
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7-5, 7-6
L
2026-01-25 · SDNC 3.5 RPTC (3:1)/ Patwardhan · #1 Singles · 3.5
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6-7, 1-6
Where you rank locallyagainst everyone at your level
Teams24 teams · 2019–2026
Over timerating by season, and how you rank
By level6 levels played
3.5
50.8%
31W–30L · 51.9% of games
4.0
46.2%
6W–7L · 43.6% of games
6.5
76.5%
13W–4L · 55.4% of games
7.5
55.6%
5W–4L · 55.7% of games
6.0mixed
60%
3W–2L · 53.2% of games
7.0mixed
20%
2W–8L · 42.1% of games

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

By lineusually #2 Doubles, 39% of the time
#2 Doubles
39%
48 matches
#3 Doubles
21%
26 matches
#1 Doubles
17%
21 matches
#2 Singles
13%
16 matches
#1 Singles
11%
13 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.

I really think a champion is defined not by their wins but by how they can recover when they fall.
Serena Williams