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SAC-Ko/Shum

2022 Mixed 40 & Over · 8.0 Mixed

10 players · average NTRP 4.05 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.68 estimated across 9 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.

4.02
Sydney Taggart
usually #1 Doubles 43%, also #3 Doubles 29% · published 4.5
3.95
Kristie Leake
usually #1 Doubles 75%, also #2 Doubles 25% · published 4.5
3.83
Deepak Selvanathan
usually #1 Doubles 50%, also #2 Doubles 38% · published 4
3.82
Teresa Sullivan
usually #1 Doubles 100% · published 4
—
Neerav Shah
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.67
Ashwani Gupta
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.60
Seungja Shin
usually #3 Doubles 40%, also #2 Doubles 40% · published 4
3.50
Vimal Natarajan
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.50
Eric Means
usually #2 Doubles 100% · published 4
3.28
Sam Ko
usually #3 Doubles 100% · published 3.5
Results8 ties
2022-03-19Won 2–0
W#1 DoublesKristie Leake / Ajay Kumar Tippisetti vs Rebecca Jones / Kevin Heller7-5, 6-3
W#2 DoublesSeungja Shin / Neerav Shah vs Jana Hirst / Michael Yee3-6, 6-1, 1-0
2022-03-06Lost 1–2
W#1 DoublesVimal Natarajan / Kristie Leake vs Ken Crowley / Kris Kelly-Koster7-6, 5-7, 1-0
L#2 DoublesEric Means / Irena Ilcheva vs Emily McBride / Kevin Oloughlin3-6, 7-6, 1-0
L#3 DoublesSam Ko / Diane Pittmon vs Kelly Bartlett / Albert Hensley6-4, 7-5
2022-02-18Won 2–1
W#1 DoublesMolly Shum / Deepak Selvanathan vs Karen Ohollaren / Hector M Salomon6-1, 6-4
L#2 DoublesIrena Ilcheva / Eric Means vs Babette Zielinski / Jon Monson6-4, 3-6, 1-0
W#3 DoublesSeungja Shin / Neerav Shah vs Mary Hlady / Bill Rhoades6-4, 4-6, 1-0
2022-02-05Lost 1–2
W#1 DoublesTeresa Sullivan / Deepak Selvanathan vs Kelly Mohr / Patrick Harkin4-6, 6-3, 1-0
L#2 DoublesKristie Leake / Ajay Kumar Tippisetti vs Luke Filose / Anita Rockwell6-3, 6-2
L#3 DoublesSam Ko / Sydney Taggart vs Deepak Kumar / Takumi Koyama6-3, 7-5
2022-01-30Split 1–1
W#1 DoublesTeresa Sullivan / Vimal Natarajan vs Ashleigh Kayser / Brian Hendrickson6-4, 7-6
L#3 DoublesDiane Pittmon / Ashwani Gupta vs Jeff Capen / Deborah Naugler4-6, 6-4, 1-0
2022-01-29Won 2–0
W#1 DoublesTeresa Sullivan / Ashwani Gupta vs Peter Cutrona / Linda Barr6-3, 7-6
W#2 DoublesJulie Hansen / Eric Means vs Aman Wasu / Cindy Rushall2-6, 6-0, 1-0
2022-01-16Lost 0–3
L#1 DoublesAshwani Gupta / Molly Shum vs Chizuru Watanabe / Sushil Srivastava6-2, 6-1
L#2 DoublesAjay Kumar Tippisetti / Seungja Shin vs Kyoko Adcock / Nate Look6-1, 5-7, 1-0
L#3 DoublesNeerav Shah / Julie Hansen vs Suzanne Chambers / Yuya Fujii6-2, 7-6
2022-01-15Lost 1–2
W#1 DoublesDeepak Selvanathan / Molly Shum vs Michael Delanty / Katy Marcy6-0, 6-2
L#2 DoublesVimal Natarajan / Julie Hansen vs John Hall / Elizabeth Lilly6-0, 6-2
L#3 DoublesSam Ko / Sydney Taggart vs Rudy Martinez / Kim Stevens7-6, 3-6, 1-0
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.

4.5
Sydney Taggart
68W–105L career
24%75%1%
4.02
4.5
Kristie Leake
126W–83L career · type A
26%74%0%
3.95
4
Deepak Selvanathan
64W–74L career
1%95%4%
3.83
4
Teresa Sullivan
112W–57L career
0%98%1%
3.82
4
Neerav Shah
23W–18L career
not enough data
—
4
Ashwani Gupta
18W–14L career
9%91%0%
3.67
4
Seungja Shin
86W–64L career
14%86%0%
3.60
4
Vimal Natarajan
78W–95L career
34%66%0%
3.50
4
Eric Means
26W–48L career
36%64%0%
3.50
3.5
Sam Ko
66W–81L career
1%99%1%
3.28

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.