Teams

SAC-Ingram

2026 Adult 40 & Over · 4.0 Women

10 players · average NTRP 3.85 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.56 estimated across 10 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.

3.84
Teresa Sullivan
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
3.84
Shannon Chen
usually #1 Doubles 56%, also #2 Doubles 22% · published 4
3.65
Bo Yu
usually #1 Singles 100% · published 4
3.61
Susan Ford
usually #3 Doubles 50%, also #1 Doubles 25% · published 4
3.53
Laura Rundle
usually #3 Doubles 60%, also #2 Doubles 20% · published 4
3.49
Molly Odonnell
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.48
Jian Xu
usually #3 Doubles 50%, also #1 Doubles 33% · published 3.5
3.45
Kana Wakamatsu
usually #3 Doubles 60%, also #2 Doubles 40% · published 4
3.38
Kim Tellin
usually #3 Doubles 57%, also #1 Doubles 29% · published 3.5
3.37
Timothea Barnatan
usually #1 Doubles 57%, also #2 Doubles 29% · published 3.5
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
Teresa Sullivan
110W–57L career
0%98%2%
3.84
4
Shannon Chen
67W–32L career
0%98%1%
3.84
4
Bo Yu
105W–180L career
4%96%0%
3.65
4
Susan Ford
38W–107L career · type S
12%88%0%
3.61
4
Laura Rundle
113W–113L career
24%76%0%
3.53
4
Molly Odonnell
37W–90L career
37%63%0%
3.49
3.5
Jian Xu
138W–56L career
0%86%14%
3.48
4
Kana Wakamatsu
60W–63L career
48%52%0%
3.45
3.5
Kim Tellin
110W–71L career
0%97%3%
3.38
3.5
Timothea Barnatan
95W–117L career
0%98%2%
3.37

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.