Teams

SHC-Patrick

2026 Adult 18 & Over · 3.0 Men

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

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Scouting

Roster averages 2.92 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.

3.42
James Jaeger
usually #2 Doubles 80%, also #1 Doubles 20% · published 3
3.07
Gilbert Chiang
usually #1 Doubles 40%, also #2 Singles 30% · published 3
2.94
Joseph Siri
usually #2 Doubles 75%, also #1 Doubles 25% · published 3
2.90
Rufus Timberlake
usually #1 Doubles 75%, also #2 Doubles 25% · published 3
2.89
Chris Hartson
usually #1 Doubles 71%, also #3 Doubles 14% · published 3
2.88
Brian Patrick
usually #3 Doubles 75%, also #2 Doubles 25% · published 3
2.86
JAMES KYUNG
usually #2 Doubles 60%, also #3 Doubles 30% · published 3
2.84
Stefano Gaggini
usually #3 Doubles 50%, also #2 Doubles 33% · published 3
2.78
Greg Arendt
usually #1 Doubles 60%, also #3 Doubles 40% · published 3
2.67
Dave Gillard
usually #2 Doubles 60%, also #3 Doubles 40% · 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
James Jaeger
41W–18L career
0%2%98%
3.42
3
Gilbert Chiang
46W–22L career
0%64%36%
3.07
3
Joseph Siri
45W–38L career
0%89%11%
2.94
3
Rufus Timberlake
23W–35L career
1%84%15%
2.90
3
Chris Hartson
32W–41L career
0%96%4%
2.89
3
Brian Patrick
38W–49L career
0%95%5%
2.88
3
JAMES KYUNG
52W–66L career
0%98%2%
2.86
3
Stefano Gaggini
28W–14L career
0%97%3%
2.84
3
Greg Arendt
16W–16L career
1%99%1%
2.78
3
Dave Gillard
36W–41L career
6%94%0%
2.67

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.