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Daniel Lim

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HONOLULU, HI
3.5C year-end 2025
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Computer — generated by the USTA algorithm from match play
98 matches · 55W–43L · seasons 2019–2026
Match history98 matches
W
2026-05-30 · OC Dolphins · #3 Doubles · 3.5 · with James Murray
loading the estimate
6-1, 6-4
W
2026-05-16 · OC Dolphins · #2 Doubles · 3.5 · with James Murray
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6-1, 6-2
L
2026-05-16 · OC Mimosas · #1 Doubles · 4.0 · with Curtis Kwok
loading the estimate
5-7, 4-6
W
2026-05-09 · OC Dolphins · #2 Doubles · 3.5 · with Victor Poppinga
loading the estimate
7-6, 4-6, 1-0
L
2026-04-26 · OC Older Dolphins · #3 Doubles · 7.0 · with Jeffrey Benz
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4-6, 3-6
W
2026-04-19 · OC Older Dolphins · #2 Doubles · 7.0 · with Jeffrey Benz
loading the estimate
6-1, 6-3
W
2026-04-12 · OC Older Dolphins · #2 Doubles · 7.0 · with Jeffrey Benz
loading the estimate
6-3, 6-1
W
2026-04-11 · OC Dolphins · #2 Doubles · 3.5 · with Victor Poppinga
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6-2, 6-2
W
2026-04-04 · OC Dolphins · #2 Doubles · 3.5 · with Julio Polo
loading the estimate
6-4, 4-6, 1-0
W
2026-03-29 · OC Older Dolphins · #1 Doubles · 7.0 · with Julio Polo
loading the estimate
7-6, 6-4
L
2026-03-28 · OC Dolphins · #3 Doubles · 3.5 · with Jamie Jeffryes
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4-6, 4-6
L
2026-03-28 · OC Mimosas · #2 Doubles · 4.0 · with Sankaran Krishna
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1-6, 5-7
Where you rank locallyagainst everyone at your level
Teams37 teams · 2019–2026
Over timerating by season, and how you rank
By level7 levels played
3.0
84.2%
16W–3L · 67.7% of games
3.5
52.9%
9W–8L · 49.8% of games
4.0
16.7%
1W–5L · 32% of games
6.5
57.1%
4W–3L · 52.5% of games
7.0
72.2%
13W–5L · 59.2% of games
6.0mixed
50%
7W–7L · 54.6% of games
7.0mixed
29.4%
5W–12L · 42.9% of games

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

By lineusually #3 Doubles, 41% of the time
#3 Doubles
41%
40 matches
#2 Doubles
29%
28 matches
#1 Doubles
17%
17 matches
#1 Singles
4%
4 matches
#4 Doubles
3%
3 matches
#1 Male Doubles
2%
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.
Martina Navratilova