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SAC-Yu

2020 Mixed 18 & Over · 9.0 Mixed

11 players · average NTRP 4.36 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.98 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.

4.42
Michelle Aman
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
4.41
Yen Ly
usually #3 Doubles 80%, also #1 Doubles 20% · published 4.5
—
Alison Marsh Harrison
usually #2 Doubles 67%, also #3 Doubles 33% · published 4.5
—
Patricia Evola
usually #1 Doubles 100% · published 4.5
4.04
Christie Post
published 4.5
4.03
Eric Furuya
usually #3 Doubles 67%, also #1 Doubles 33% · published 4.5
3.99
Colin Arnold
usually #2 Doubles 80%, also #3 Doubles 20% · published 4.5
3.98
Tamara Justus
usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5
3.79
Honghui Liang
usually #3 Doubles 57%, also #1 Doubles 29% · published 4.5
3.65
Bo Yu
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.48
Ryan Patterson
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
Results7 ties
2019-11-15Split 1–1
W#1 DoublesPatricia Evola / Christopher Evola vs Eugene Jung / Tato Zedginidze6-4, 6-4
L#3 DoublesColin Arnold / Alison Marsh Harrison vs Andrew Pritchard / Jackie Dooris6-2, 6-2
2019-11-10Split 1–1
W#2 DoublesColin Arnold / Alison Marsh Harrison vs Frank Collie / Kirsten Ruchaber7-6, 3-6, 1-0
L#3 DoublesHonghui Liang / Eric Furuya vs Kristen Stedman / Keisuke Komine4-6, 6-4, 1-0
2019-11-02Lost 1–2
W#1 DoublesPatricia Evola / Christopher Evola vs Minou Chau / Todd Kuribayashi6-3, 6-3
L#2 DoublesBo Yu / Ajay Kumar Tippisetti vs Krista Mikalatos / Ben DeLuca6-2, 6-0
L#3 DoublesYen Ly / Ryan Patterson vs Sanja Lemes / James Feeney6-3, 6-2
2019-10-13Split 1–1
L#2 DoublesMichelle Aman / Ajay Kumar Tippisetti vs Rebecca Jacobs / Griffin Fraser2-6, 6-3, 1-0
W#3 DoublesYen Ly / Ryan Patterson vs Tiare Farris / Tim Campbell6-4, 6-7, 1-0
2019-10-06Split 1–1
L#1 DoublesEric Furuya / Jenna Hayes vs Gram Leahy / Stephanie Leeding6-3, 6-0
W#2 DoublesColin Arnold / Alison Marsh Harrison vs Christopher Haddon / Annie Duong6-1, 7-5
2019-09-29Lost 1–2
L#1 DoublesYen Ly / Ryan Patterson vs Sarah Lanigan / Dennis Cordova Leal6-1, 6-2
W#2 DoublesBo Yu / Colin Arnold vs Hau Bui / Michelle Mehr4-6, 7-5, 1-0
L#3 DoublesHonghui Liang / Eric Furuya vs Eugene Jung / Xia Wu6-4, 6-2
2019-09-14Split 1–1
W#1 DoublesAjay Kumar Tippisetti / Michelle Aman vs Kimberly Quach / Jim Nudelman6-4, 6-2
L#2 DoublesColin Arnold / Jenna Hayes vs Frank Collie / Kirsten Ruchaber6-0, 6-0
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
Michelle Aman
27W–23L career
0%78%22%
4.42
4.5
Yen Ly
56W–51L career
0%84%16%
4.41
4.5
Alison Marsh Harrison
29W–25L career
not enough data
—
4.5
Patricia Evola
26W–12L career
not enough data
—
4.5
Christie Post
29W–26L career
9%91%0%
4.04
4.5
Eric Furuya
17W–42L career
17%83%0%
4.03
4.5
Colin Arnold
67W–70L career
17%83%0%
3.99
4.5
Tamara Justus
98W–68L career
19%81%0%
3.98
4.5
Honghui Liang
61W–84L career
70%30%0%
3.79
4
Bo Yu
105W–180L career
4%96%0%
3.65
3.5
Ryan Patterson
11W–16L career
0%82%18%
3.48

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.