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Zeeshan Pasta

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Torrance, CA
3.0C year-end 2023
i
Computer — generated by the USTA algorithm from match play
5 matches · 0W–5L · seasons 2023–2023
Match history5 matches
L
2023-05-21 · LA - Team Ashe · #3 Doubles · 3.5 · with Ammar Pasta
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2-6, 1-6
L
2023-05-20 · LA - Team Ashe · #3 Doubles · 3.5 · with Daniel Wang
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1-6, 0-6
L
2023-05-13 · LA - Team Ashe · #3 Doubles · 3.5 · with Richard Taylor
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6-4, 3-6, 0-1
L
2023-04-22 · LA - Team Ashe · #2 Doubles · 3.5 · with Justin Scovil
loading the estimate
6-4, 0-6, 0-1
L
2023-04-16 · LA - Team Ashe · #3 Doubles · 3.5 · with Justin Scovil
loading the estimate
0-6, 1-6
Where you rank locallyagainst everyone at your level
Teams2 teams · 2022–2023
Over timerating by season, and how you rank
By level1 level played
3.5
0%
0W–5L · 25.6% of games

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

By lineusually #3 Doubles, 80% of the time
#3 Doubles
80%
4 matches
#2 Doubles
20%
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.
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