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SAC-Yu/Tippisetti

2024 Mixed 18 & Over · 9.0 Mixed

9 players · average NTRP 4.44 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.95 estimated across 7 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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Alison Marsh Harrison
usually #2 Doubles 67%, also #3 Doubles 33% · published 4.5
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Misha DeWolf
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
4.21
Juan Li
usually #2 Doubles 44%, also #1 Doubles 33% · published 4.5
4.03
Eric Furuya
usually #2 Doubles 40%, also #3 Doubles 40% · published 4.5
4.02
Sydney Taggart
usually #2 Doubles 40%, also #1 Doubles 40% · published 4.5
3.98
Tamara Justus
usually #2 Doubles 43%, also #3 Doubles 29% · published 4.5
3.83
Deepak Selvanathan
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.80
Coral Nash
usually #1 Doubles 67%, also #3 Doubles 17% · published 4.5
3.79
Honghui Liang
usually #2 Doubles 43%, also #3 Doubles 29% · published 4.5
Results8 ties
2023-11-12Lost 0–3
L#1 DoublesHonghui Liang / Misha DeWolf vs Christopher Evola / Amanda Wiley6-2, 6-2
L#2 DoublesCoral Nash / Nishant Lakshman vs BON UNG / Nicole Partch7-6, 6-4
L#3 DoublesJenna Hayes / Eric Furuya vs Tarynn Berkman / William Creger7-5, 6-3
2023-11-11Won 2–1
W#1 DoublesDolly CHANG / Deepak Selvanathan vs Sarah Ferrer / Kevin Jarvis6-1, 6-4
W#2 DoublesJuan Li / Misha DeWolf vs Rachel Karlin / Steven Nguyen6-3, 2-6, 1-0
L#3 DoublesTamara Justus / Ajay Kumar Tippisetti vs Shaun Anderson / Lisa Grant6-3, 6-0
2023-11-06Lost 0–2
L#1 DoublesTamara Justus / Misha DeWolf vs Atom Fjeldsted / Yuko Hopman7-5, 6-2
L#2 DoublesEric Furuya / Honghui Liang vs Son Huynh / Michelle Donato6-3, 7-5
2023-10-29Lost 0–3
L#1 DoublesJuan Li / Eric Furuya vs Andy Stecher / Kaitlin Bos6-2, 6-1
L#2 DoublesSydney Taggart / Deepak Selvanathan vs Krista Mikalatos / Owen Suagee6-2, 6-1
L#3 DoublesCoral Nash / Ajay Kumar Tippisetti vs Elijah Nelson / Hanna Jensen6-1, 6-3
2023-10-29Lost 0–3
L#1 DoublesSydney Taggart / Mitch McDaniels vs Mary Klinger / Josh Schweitz6-2, 7-6
L#2 DoublesDolly CHANG / Deepak Selvanathan vs Kaitlin Burns / Zach Butler4-6, 6-1, 1-0
L#3 DoublesAlison Marsh Harrison / Ajay Kumar Tippisetti vs Mike Robertson / Katie Kinsfogel6-3, 6-2
2023-10-22Lost 0–2
L#1 DoublesMisha DeWolf / Jenna Hayes vs John Bui / Grace Lee6-3, 6-4
L#2 DoublesEric Furuya / Alison Marsh Harrison vs Truc Tran / Katelyn Ross6-2, 6-3
2023-10-15Won 3–0
W#1 DoublesMisha DeWolf / Tamara Justus vs Deborah Naugler / Brian Hendrickson6-4, 6-2
W#2 DoublesAlison Marsh Harrison / Ajay Kumar Tippisetti vs Rebecca Martinez Griffin / Justin Ford3-6, 6-1, 1-0
W#3 DoublesHonghui Liang / Deepak Selvanathan vs Maddie Karpinski / Brian Quisling6-2, 6-3
2023-09-23Won 2–1
W#1 DoublesMitch McDaniels / Coral Nash vs Claire Thayer / Franklin Truong6-0, 6-0
W#2 DoublesMisha DeWolf / Tamara Justus vs Gregg Palmer / Jamie Slonaker6-4, 7-6
L#3 DoublesJuan Li / Deepak Selvanathan vs Heike Droste / Joerg Droste6-4, 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.

4.5
Alison Marsh Harrison
29W–25L career
not enough data
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4.5
Misha DeWolf
8W–10L career
not enough data
—
4.5
Juan Li
117W–72L career
1%98%1%
4.21
4.5
Eric Furuya
17W–42L career
17%83%0%
4.03
4.5
Sydney Taggart
68W–105L career
24%75%1%
4.02
4.5
Tamara Justus
98W–68L career
19%81%0%
3.98
4
Deepak Selvanathan
64W–74L career
1%95%4%
3.83
4.5
Coral Nash
39W–69L career
67%33%0%
3.80
4.5
Honghui Liang
61W–84L career
70%30%0%
3.79

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.