Teams

SHC-Lee/Priest

2026 Mixed 40 & Over · 6.0 Mixed

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

View scouting list →
Scouting

Roster averages 2.82 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.

3.07
Gilbert Chiang
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.91
Monte Gonzales
usually #3 Doubles 100% · published 3
2.90
Mike Baker
usually #3 Doubles 100% · published 3
2.88
Brian Patrick
usually #2 Doubles 100% · published 3
2.86
Patrick Priest
usually #2 Doubles 100% · published 3
2.86
JAMES KYUNG
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.79
Susanne Cochran
usually #2 Doubles 100% · published 3
2.78
Greg Arendt
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.75
Theresa Gonzales
usually #3 Doubles 100% · published 3
2.67
Kerry Sweet
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.54
Stacy Cain
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
Gilbert Chiang
46W–22L career
0%64%36%
3.07
3
Monte Gonzales
118W–97L career
0%95%5%
2.91
3
Mike Baker
47W–91L career
0%95%5%
2.90
3
Brian Patrick
38W–49L career
0%95%5%
2.88
3
Patrick Priest
52W–48L career
0%96%3%
2.86
3
JAMES KYUNG
52W–66L career
0%98%2%
2.86
3
Susanne Cochran
82W–67L career
1%98%1%
2.79
3
Greg Arendt
16W–16L career
1%99%1%
2.78
3
Theresa Gonzales
14W–42L career
5%93%2%
2.75
3
Kerry Sweet
31W–63L career
4%96%0%
2.67
3
Stacy Cain
1W–9L career · type S
28%72%0%
2.54

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.