Teams

SAC-Koeberl(s)

2025 Mixed 55 & Over · 6.0 Mixed

9 players · average NTRP 3 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 2.77 estimated across 8 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.

2.94
Grainne Koeberl
usually #3 Doubles 75%, also #2 Doubles 25% · published 3
2.92
Todd McConachie
usually #1 Doubles 80%, also #2 Doubles 20% · published 3
2.84
Kusum Mehndiratta
published 3
2.80
Tom Hsu
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
Bret Crawford
usually #3 Doubles 100% · published 3
2.75
Paul Koenigsberg
usually #2 Doubles 50%, also #1 Doubles 25% · published 3
2.71
Craig Walker
usually #1 Doubles 100% · published 3
2.68
Jeane Anastas
published 3
2.51
Dave Sato
usually #2 Doubles 100% · published 3
Results8 ties
2025-05-25Won 21
W#1 DoublesLisa McConachie / Todd McConachie vs Ashley Bevan / Bryan Potter6-7, 6-3, 1-0
L#2 DoublesKusum Mehndiratta / Dave Sato vs Deborah Cohen / Fred Kowell6-7, 6-4, 1-0
W#3 DoublesGrainne Koeberl / Paul Koenigsberg vs Kathy Cooke / Doug Cooke6-2, 6-0
2025-05-16Lost 03
L#1 DoublesLisa McConachie / Todd McConachie vs Brian Hefele / Jennifer Bayless6-3, 6-3
L#2 DoublesJanet Hummel / Paul Koenigsberg vs Laurel Soot / Scott Soot5-7, 6-4, 1-0
L#3 DoublesGrainne Koeberl / Patrick Koeberl vs Brian Chenoweth / Melinda Magaddino6-2, 6-3
2025-05-03Lost 03
L#1 DoublesJeane Anastas / Paul Koenigsberg vs Paul Garrahan / Jennifer Bayless6-1, 6-1
L#2 DoublesDiana Crawford / Dave Sato vs Jay Hopson / Robin Bowerfind6-1, 6-0
L#3 DoublesDenise Butchee / Bret Crawford vs Jeffrey Bayless / Jani White6-2, 6-2
2025-04-27Lost 03
L#1 DoublesLisa McConachie / Todd McConachie vs Wei Pan / Deborah Self6-3, 6-3
L#2 DoublesDiana Crawford / Dave Sato vs Todd Berinstein / Tamara Phillips7-6, 6-1
L#3 DoublesDenise Butchee / Bret Crawford vs Steven Darling / Amy Hicks6-2, 6-2
2025-04-19Lost 02
L#1 DoublesCraig Walker / Kusum Mehndiratta vs Matt Savage / Alana Rhea6-1, 6-4
L#2 DoublesTom Hsu / Grainne Koeberl vs Frank Brown / Robin Burak6-2, 6-3
2025-04-13Lost 12
L#1 DoublesKusum Mehndiratta / Tom Hsu vs Karla Hendrickson / Monte Gonzales5-7, 6-3, 1-0
W#2 DoublesJeane Anastas / Paul Koenigsberg vs Carmen Timberlake / James North7-5, 6-1
L#3 DoublesGrainne Koeberl / Patrick Koeberl vs Bess Jacobo / Kerry Sweet6-2, 5-7, 1-0
2025-04-11Split 11
L#1 DoublesKusum Mehndiratta / Craig Walker vs Peter Casey / Leanne Kong6-2, 7-6
W#2 DoublesLisa McConachie / Todd McConachie vs Dan Pope / Jing Bennett7-5, 6-3
2025-04-05Split 11
W#1 DoublesTodd McConachie / Lisa McConachie vs Lars Kasch / Beth Gebstadt6-0, 6-2
L#2 DoublesDenise Butchee / Tom Hsu vs Judy Friedman / Dave Sasaki6-4, 2-6, 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.

3
Grainne Koeberl
56W–66L career
0%93%7%
2.94
3
Todd McConachie
51W–47L career
0%92%8%
2.92
3
Kusum Mehndiratta
20W–14L career
1%94%5%
2.84
3
Tom Hsu
28W–30L career
0%99%1%
2.80
3
Bret Crawford
13W–44L career
not enough data
3
Paul Koenigsberg
13W–18L career · type M
3%95%1%
2.75
3
Craig Walker
32W–39L career
11%85%3%
2.71
3
Jeane Anastas
14W–31L career
4%96%0%
2.68
3
Dave Sato
40W–110L career
31%69%0%
2.51

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.