Teams

ManZhenSum

2023 One Doubles · 3.5 Men

3 players · average NTRP 3.17 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.85 estimated across 2 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

Sumit Gupta
usually #1 Doubles 100% · published 3.5
2.87
Zhenyu Han
usually #1 Doubles 100% · published 3
2.83
Manoj Agnihotri
usually #1 Doubles 100% · published 3
Results8 ties
2023-08-11Lost 01
L#1 DoublesManoj Agnihotri / Zhenyu Han vs Janis Locenieks / Simon Lofts6-3, 6-3
2023-08-06Lost 01
L#1 DoublesManoj Agnihotri / Zhenyu Han vs Frank Foti / Jeff Lipke6-4, 6-2
2023-07-30Lost 01
L#1 DoublesManoj Agnihotri / Zhenyu Han vs Charlie Adams / Frederick Buckman6-1, 6-0
2023-07-23Lost 01
L#1 DoublesManoj Agnihotri / Zhenyu Han vs Zachary Wright / Tom Sloan6-3, 6-2
2023-07-20Lost 01
L#1 DoublesSumit Gupta / Zhenyu Han vs David Young / Neville Mehta6-0, 6-4
2023-07-07Lost 01
L#1 DoublesManoj Agnihotri / Zhenyu Han vs Chris Hasle / Jeremy Fields6-1, 6-2
2023-07-06Lost 01
L#1 DoublesManoj Agnihotri / Sumit Gupta vs Janis Locenieks / Simon Lofts6-1, 6-1
2023-06-29Lost 01
L#1 DoublesManoj Agnihotri / Sumit Gupta vs Jonathan Hong / Austin Chanthakhoun6-1, 6-3
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits.

3.5
Sumit Gupta
17W–31L career
not enough data
3
Zhenyu Han
24W–52L career
0%97%3%
2.87
3
Manoj Agnihotri
81W–117L career
0%99%1%
2.83

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.