Teams

MAC-Keljo/Pierce

2026 Adult 40 & Over · 4.0 Women

10 players · average NTRP 3.94 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.61 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.

3.89
Darci Keljo
usually #1 Doubles 100% · published 4
3.79
Kim Hasle
usually #2 Doubles 75%, also #1 Doubles 25% · published 4
3.76
Courtney Pierce
usually #1 Doubles 100% · published 4
June Kim
usually #2 Doubles 100% · published 4
3.65
Molly Bordonaro
usually #3 Doubles 100% · published 0
3.57
Michelle Doherty
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
3.49
Michelle Posey
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.46
Jessica Meyer
usually #1 Singles 50%, also #3 Doubles 25% · published 4
3.46
Christina McMenamin
usually #1 Singles 40%, also #3 Doubles 40% · published 3.5
3.43
Terri Pickard
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
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
Darci Keljo
55W–36L career
0%95%5%
3.89
4
Kim Hasle
44W–28L career
4%91%5%
3.79
4
Courtney Pierce
28W–24L career
2%97%1%
3.76
4
June Kim
20W–16L career
not enough data
0
Molly Bordonaro
2W–8L career
14%85%1%
3.65
4
Michelle Doherty
27W–23L career
22%77%0%
3.57
4
Michelle Posey
76W–43L career
42%58%0%
3.49
4
Jessica Meyer
39W–45L career
45%55%0%
3.46
3.5
Christina McMenamin
40W–25L career
0%87%13%
3.46
4
Terri Pickard
44W–44L career
52%48%0%
3.43

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.