Teams

PTC-Lee/Daoud

2026 Mixed 40 & Over · 6.0 Mixed

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

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Scouting

Roster averages 2.88 estimated across 11 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.

3.25
Tim Janes
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
3.03
Seth Wagner
usually #3 Doubles 33%, also #2 Doubles 33% · published 3
3.01
John Brady
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.91
Jeny Joseph
usually #2 Doubles 75%, also #1 Doubles 25% · published 3
2.88
Lysa Morla Maxey
usually #1 Doubles 80%, also #2 Doubles 20% · published 3
2.86
Michael Navarro
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.79
Ed de la Fuente
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.77
Amy Carolan
usually #2 Doubles 50%, also #1 Doubles 33% · published 3
2.75
Kathleen Crowley
usually #3 Doubles 100% · published 3
2.74
Bill Barnes
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
2.70
Katja Daoud
usually #3 Doubles 100% · published 3
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
Tim Janes
47W–53L career
0%14%86%
3.25
3
Seth Wagner
51W–76L career
0%73%27%
3.03
3
John Brady
71W–76L career
0%81%19%
3.01
3
Jeny Joseph
75W–91L career
0%95%5%
2.91
3
Lysa Morla Maxey
32W–15L career
0%97%3%
2.88
3
Michael Navarro
27W–39L career
0%97%3%
2.86
3
Ed de la Fuente
78W–81L career
0%99%1%
2.79
3
Amy Carolan
30W–27L career
0%99%0%
2.77
3
Kathleen Crowley
60W–51L career
4%94%2%
2.75
3
Bill Barnes
11W–17L career · type M
2%98%0%
2.74
3
Katja Daoud
71W–70L career
3%97%0%
2.70

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.