Teams

SAC-Vimal

2022 Adult 40 & Over · 4.0 Men

8 players · average NTRP 3.86 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.59 estimated across 6 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.

3.83
Deepak Selvanathan
usually #1 Doubles 100% · published 4
Neerav Shah
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.64
Paritosh Saxena
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.53
Matt Zhou
usually #2 Doubles 56%, also #1 Doubles 22% · published 3.5
3.53
Mitchell Whitehurst
usually #2 Doubles 50%, also #3 Doubles 33% · published 3.5
3.50
Vimal Natarajan
usually #2 Doubles 33%, also #1 Singles 33% · published 4
3.50
Eric Means
published 4
Brady Berry
usually #1 Doubles 57%, also #3 Doubles 29% · published 0
Results8 ties
2022-06-12Lost 02
L#1 DoublesVimal Natarajan / Mitchell Whitehurst vs Carlin Jackson / Lance Berkey6-3, 6-3
L#2 DoublesBrady Berry / Matt Zhou vs Ken Crowley / Paul Garry3-6, 6-3, 1-0
2022-06-04Split 11
L#1 DoublesDeepak Selvanathan / Vimal Natarajan vs Quanwang Wei / Patrick Brewer6-4, 6-4
W#2 DoublesMatt Zhou / Stephen Marsh vs Ken Avenoso / Steve Scharfstein4-6, 6-3, 1-0
2022-05-22Won 30
W#1 DoublesDeepak Selvanathan / Jason Cyr vs Chris Thoman / Robert Torch6-3, 7-6
W#2 DoublesVimal Natarajan / Neerav Shah vs James Hockley / John Hall7-6, 5-7, 1-0
W#3 DoublesMitchell Whitehurst / Matt Zhou vs Thomas Turnbull / Christopher Graham6-4, 6-4
2022-05-18Split 11
W#1 DoublesDeepak Selvanathan / Matt Zhou vs Cristian Crisan / Frank Olson6-7, 6-1, 1-0
L#2 DoublesParitosh Saxena / Mitchell Whitehurst vs John Christiaan / Jono Neher6-1, 6-3
2022-05-08Lost 03
L#1 DoublesDeepak Selvanathan / Jason Cyr vs Michael Chang / Ty Noimany6-3, 6-2
L#2 DoublesMatt Zhou / Neerav Shah vs Jon Monson / Matthew Trank6-2, 4-6, 1-0
L#3 DoublesParitosh Saxena / Brady Berry vs Russ DeMoss / Jaap Sparrius6-3, 6-3
2022-04-23Split 22
W#1 DoublesDeepak Selvanathan / Jason Cyr vs Ken Crowley / Carlin Jackson6-4, 6-3
L#1 SinglesVimal Natarajan vs Tom Lonergan6-2, 7-5
L#2 DoublesAjay Kumar Tippisetti / Mitchell Whitehurst vs Lance Berkey / Howard Jaffe6-4, 6-2
W#3 DoublesNeerav Shah / Brady Berry vs Steve Carns / Paul Garry6-2, 6-3
2022-04-17Won 21
W#1 DoublesDeepak Selvanathan / Neerav Shah vs Eric Peterson / Neville Mehta6-1, 6-4
L#1 SinglesVimal Natarajan vs Mark Tryon6-2, 6-2
W#2 DoublesAjay Kumar Tippisetti / Mitchell Whitehurst vs Scott Reis / Masanori Hibino6-3, 6-3
2022-04-10Lost 03
L#1 DoublesDeepak Selvanathan / Neerav Shah vs Jon Monson / Matthew Trank7-6, 6-7, 1-0
L#2 DoublesVimal Natarajan / Ajay Kumar Tippisetti vs Pete Stirling / Jason Crawford7-6, 6-3
L#3 DoublesMitchell Whitehurst / Paritosh Saxena vs Clark Cosart / William Anderson6-3, 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.

4
Deepak Selvanathan
64W–74L career
1%95%4%
3.83
4
Neerav Shah
23W–18L career
not enough data
4
Paritosh Saxena
35W–31L career
10%90%0%
3.64
3.5
Matt Zhou
63W–65L career
0%73%27%
3.53
3.5
Mitchell Whitehurst
90W–77L career
0%76%24%
3.53
4
Vimal Natarajan
78W–95L career
34%66%0%
3.50
4
Eric Means
26W–48L career
36%64%0%
3.50
0
Brady Berry
56W–45L career
not enough data

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.