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Nico Arcino

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Berkeley, CA
4.0C year-end 2024
i
Computer — generated by the USTA algorithm from match play
9 matches · 1W–8L · seasons 2023–2026
Match history9 matches
L
2026-01-24 · RICHMOND TA/NICHOLL PK 40AM4.0B · #1 Singles · 4.0
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0-6, 3-6
L
2024-06-15 · SAN PABLO PK 18AM4.0A · #2 Singles · 4.0
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3-6, 1-6
L
2024-06-09 · SAN PABLO PK 18AM4.0A · #1 Singles · 4.0
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1-6, 1-6
L
2024-05-26 · SAN PABLO PK 18AM4.0A · #2 Singles · 4.0
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1-6, 3-6
L
2024-05-25 · SAN PABLO PK 18AM4.0A · #2 Doubles · 4.0 · with Manoj Tolety
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1-6, 4-6
W
2024-04-21 · SAN PABLO PK 18AM4.0A · #2 Singles · 4.0
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6-3, 6-4
L
2023-06-04 · SAN PABLO PK 18AM4.0A · #2 Singles · 4.0
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1-6, 7-5, 0-1
L
2023-04-29 · SAN PABLO PK 18AM4.0A · #1 Singles · 4.0
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1-6, 3-6
L
2023-04-15 · SAN PABLO PK 18AM4.0A · #1 Singles · 4.0
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6-2, 6-7, 0-1
Where you rank locallyagainst everyone at your level
Teams4 teams · 2023–2026
Over timerating by season, and how you rank
By level1 level played
4.0
11.1%
1W–8L · 34.8% of games

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

By lineusually #1 Singles, 44% of the time
#1 Singles
44%
4 matches
#2 Singles
44%
4 matches
#2 Doubles
11%
1 match

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.

Experience is a big word. I think it comes with time, and I have that.
Serena Williams