Teams

SAC-Elmer/Harvey

2026 Adult 40 & Over · 3.0 Men

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

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Scouting

Roster averages 2.81 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.

2.92
Todd McConachie
usually #2 Doubles 63%, also #1 Doubles 25% · published 3
2.92
Donny Cablao
usually #2 Doubles 100% · published 3
2.92
Mohsen Soleimani
usually #1 Singles 50%, also #3 Doubles 25% · published 3
2.90
Nathan Watson
usually #2 Doubles 67%, also #1 Doubles 17% · published 3
2.87
Yogesh Patel
usually #1 Singles 100% · published 3
2.87
Steve Elmer
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.78
Ruming Yin
usually #1 Doubles 50%, also #2 Doubles 25% · published 3
2.76
Mauro Kobrinsky
usually #2 Doubles 60%, also #1 Singles 40% · published 3
2.74
Brian Harvey
usually #1 Doubles 100% · published 3
2.72
Craig Walker
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
2.52
Dave Sato
usually #3 Doubles 60%, also #1 Doubles 20% · 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
Todd McConachie
51W–47L career
0%92%8%
2.92
3
Donny Cablao
42W–50L career
0%84%15%
2.92
3
Mohsen Soleimani
9W–20L career
0%90%10%
2.92
3
Nathan Watson
32W–41L career
0%95%5%
2.90
3
Yogesh Patel
46W–46L career
0%93%7%
2.87
3
Steve Elmer
61W–77L career
0%94%6%
2.87
3
Ruming Yin
8W–20L career
1%99%1%
2.78
3
Mauro Kobrinsky
14W–23L career
4%93%3%
2.76
3
Brian Harvey
15W–20L career
4%95%1%
2.74
3
Craig Walker
32W–39L career
10%86%4%
2.72
3
Dave Sato
40W–109L career
29%71%0%
2.52

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.