← Teams

SAC-Majmudar/Marsh

2023 Adult 18 & Over · 3.5 Men

9 players · average NTRP 3.36 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.16 estimated across 5 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.

3.64
Martin von Haartman
usually #1 Doubles 71%, also #2 Doubles 14% · published 4
3.14
Arjun Bilakanti
usually #1 Singles 57%, also #3 Doubles 43% · published 3.5
3.13
Hoon Shin
usually #1 Doubles 50%, also #3 Doubles 25% · published 3.5
3.05
WonKyu Kim
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
2.86
Yogesh Patel
published 3
—
Jeff Legassick
usually #1 Doubles 40%, also #2 Doubles 30% · published 3
—
Tim Fernstrom
usually #3 Doubles 100% · published 3
—
Anup Pandya
published 0
—
Todd Spear
published 0
Results10 ties
2023-03-25Split 1–1
L#1 DoublesMartin von Haartman / Sid Ramachandran vs Harish Krishnamurthy / Edmundo Arroyo6-1, 3-6, 1-0
W#2 DoublesJeff Legassick / WonKyu Kim vs PHAT Lee / Page Watts7-5, 1-6, 1-0
2023-03-18Won 2–0
W#1 DoublesSid Ramachandran / WonKyu Kim vs Robert Gettle / Robert Tatsumi6-3, 7-6
W#3 DoublesTim Fernstrom / David Aman vs Scott Mayer / Will Thaxton6-3, 3-6, 1-0
2023-03-17Lost 0–1
L#3 DoublesMartin von Haartman / Jill Boyce vs Alex Harbell / Julie Arness6-2, 6-3
2023-03-11Lost 0–3
L#1 DoublesJeff Legassick / WonKyu Kim vs Ernesto Bruce / Michael Lee6-3, 6-0
L#1 SinglesArjun Bilakanti vs Scott Vanderhoff6-1, 6-3
L#2 DoublesTae Dong Kim / Hoon Shin vs Richard Sohn / Zachary Wright6-1, 6-1
2023-02-17Lost 0–3
L#1 DoublesBasheer Ahmed Muddebihal / Hoon Shin vs Jeff Lipke / Jason Dortch7-6, 7-5
L#2 DoublesTae Dong Kim / WonKyu Kim vs Matt Thayer / Richard Jennings6-4, 7-5
L#3 DoublesTim Fernstrom / Michael Sullivan vs Frank Foti / Neville Mehta6-0, 6-0
2023-02-11Won 3–0
W#1 DoublesSid Ramachandran / Martin von Haartman vs Anil Khanna / Lamone Voravongseng4-6, 6-3, 1-0
W#2 DoublesJeff Legassick / WonKyu Kim vs Jeffrey Gates / Benjamin Moore6-2, 4-6, 1-0
W#3 DoublesBasheer Ahmed Muddebihal / Hoon Shin vs Zhenyu Han / Manoj Agnihotri6-3, 6-1
2023-01-29Won 2–1
W#1 DoublesSid Ramachandran / Martin von Haartman vs Scott Beall / Jeff Littlejohn6-3, 7-5
L#1 SinglesArjun Bilakanti vs Keith Gordon7-6, 6-2
W#3 DoublesWonKyu Kim / Jeff Legassick vs Ed Schwartz / Jonathan Steinhoff6-3, 1-6, 1-0
2023-01-28Won 2–1
W#1 DoublesMartin von Haartman / Hoon Shin vs Robert Glenn / Timothy Morgan6-4, 6-0
L#1 SinglesArjun Bilakanti vs Juan Camilo Forero7-5, 6-1
W#2 DoublesWonKyu Kim / Jeff Legassick vs Ryan Owens / Daniel Lei6-3, 7-6
2023-01-07Won 2–1
L#1 DoublesMartin von Haartman / Sid Ramachandran vs David Visse / Jeff Welter7-5, 6-3
W#1 SinglesArjun Bilakanti vs Robert Tatsumi7-6, 7-5
W#3 DoublesWonKyu Kim / Jeff Legassick vs Scott Mayer / Bill Eisen Amurao6-4, 5-7, 1-0
2022-12-09Won 1–0
W#2 DoublesKaelin Teo / Martin von Haartman vs Stephanie Haas / Julian Miller6-2, 6-4
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
Martin von Haartman
140W–50L career
7%93%0%
3.64
3.5
Arjun Bilakanti
47W–107L career
6%94%0%
3.14
3.5
Hoon Shin
112W–53L career
13%87%0%
3.13
3.5
WonKyu Kim
78W–64L career
22%78%0%
3.05
3
Yogesh Patel
46W–46L career
0%94%6%
2.86
3
Jeff Legassick
31W–47L career
not enough data
—
3
Tim Fernstrom
20W–31L career
not enough data
—
0
Anup Pandya
22W–6L career
not enough data
—
0
Todd Spear
23W–21L 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.