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CHARB-Imbrie/Moreno

2020 Mixed 18 & Over · 8.0 Mixed

9 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.69 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.

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Mihirkant Upadhyaya
usually #1 Doubles 80%, also #2 Doubles 20% · published 5
3.85
Emily McBride
usually #2 Doubles 100% · published 4
3.78
Kris Kelly-Koster
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
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Roxanne Imbrie
usually #1 Doubles 57%, also #2 Doubles 43% · published 4
3.72
Philip Stephenson
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.68
Tony Moreno
usually #1 Doubles 78%, also #2 Doubles 22% · published 4
3.63
Donna Roisom
usually #3 Doubles 60%, also #1 Doubles 20% · published 4
3.47
Tom Lonergan
usually #2 Doubles 100% · published 3.5
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Patricia Sturr
usually #2 Doubles 57%, also #3 Doubles 43% · published 3.5
Results8 ties
2019-11-17Lost 1–2
L#1 DoublesAdam Hutchinson / Roxanne Imbrie vs Jim Rankin / Katherine Lomartire6-3, 6-4
W#2 DoublesPatricia Sturr / Ken Crowley vs Cheryl Roloff / William Wang6-0, 6-2
L#3 DoublesDonna Roisom / Philip Stephenson vs Julie Bradford / Matthew Kershaw6-1, 6-3
2019-11-03Lost 0–3
L#1 DoublesKris Kelly-Koster / Tony Moreno vs Trenton Corvino / Kristie Leake6-1, 6-1
L#2 DoublesEmily McBride / Tom Lonergan vs Kyle Newman / Takumi Koyama7-6, 6-4
L#3 DoublesPatricia Sturr / Ken Crowley vs Rich Rice / Erica Drake6-1, 6-1
2019-10-27Lost 0–2
L#1 DoublesTony Moreno / Roxanne Imbrie vs Zachary Kinavey / Amy Graham6-1, 7-5
L#2 DoublesDonna Roisom / Philip Stephenson vs Joe Warner / Suzanne DeLea6-1, 6-4
2019-10-12Won 2–1
L#1 DoublesRoxanne Imbrie / Tony Moreno vs Sharon Grilley / Kevin Heller7-6, 4-6, 1-0
W#2 DoublesKris Kelly-Koster / Tom Lonergan vs Paula Watt / Bruce Sylva6-4, 5-7, 1-0
W#3 DoublesDonna Roisom / Philip Stephenson vs Rebecca Jones / Fred Grossblatt7-5, 2-6, 1-0
2019-10-06Split 1–1
W#1 DoublesKris Kelly-Koster / Mihirkant Upadhyaya vs Susan Ford / James Feeney6-4, 2-6, 1-0
L#2 DoublesEmily McBride / Tom Lonergan vs Pamela Buckley / Kevin Muck6-0, 7-5
2019-09-22Split 1–1
W#1 DoublesMihirkant Upadhyaya / Kris Kelly-Koster vs Tony Khamsouk / Misty Bettis6-4, 3-6, 1-0
L#2 DoublesTony Moreno / Roxanne Imbrie vs David Richardson / Liz DelPlato6-1, 2-6, 1-0
2019-09-15Won 2–0
W#1 DoublesRoxanne Imbrie / Tony Moreno vs Deb Garris / Christopher Haddon6-3, 5-7, 1-0
W#2 DoublesEmily McBride / Tom Lonergan vs Heidi Clark / Rudy Martinez6-7, 7-5, 1-0
2019-09-07Won 2–0
W#2 DoublesElaine Zevenbergen / Tom Lonergan vs MacHi Nishikawa / Matt Wheatley6-2, 6-3
W#3 DoublesDonna Roisom / Philip Stephenson vs Tammy Brennan / Timothy Johnson6-1, 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.

5
Mihirkant Upadhyaya
51W–10L career
not enough data
—
4
Emily McBride
72W–73L career
0%98%2%
3.85
4
Kris Kelly-Koster
79W–101L career
0%99%0%
3.78
4
Roxanne Imbrie
46W–44L career
not enough data
—
4
Philip Stephenson
43W–42L career
2%98%0%
3.72
4
Tony Moreno
309W–153L career
2%98%0%
3.68
4
Donna Roisom
100W–85L career
9%91%0%
3.63
3.5
Tom Lonergan
104W–99L career
0%87%13%
3.47
3.5
Patricia Sturr
59W–77L 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.