CHARB-Valenzuela/Mills

2026 Adult 40 & Over · 4.0 Men

9 players · average NTRP 3.78 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.50 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.

3.77

Carlin Jackson

usually #1 Doubles 71%, also #1 Singles 14% · published 4

3.73

Lance Berkey

usually #1 Doubles 75%, also #2 Doubles 25% · published 4

3.49

Don Mcbride

usually #3 Doubles 80%, also #2 Doubles 20% · published 4

3.49

Danny Denning

usually #2 Doubles 71%, also #1 Doubles 14% · published 4

3.48

Bill Rhoades

usually #2 Doubles 50%, also #1 Doubles 38% · published 4

3.47

Tom Lonergan

usually #2 Doubles 50%, also #1 Singles 50% · published 3.5

3.47

Anthony Valenzuela

usually #3 Doubles 40%, also #2 Doubles 40% · published 3.5

3.43

Craig Mills

usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5

3.21

Sean Gay

usually #3 Doubles 60%, also #1 Doubles 20% · published 3.5

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.

Carlin Jackson

134W–66L career

0%99%0%

3.77

Lance Berkey

59W–40L career

1%98%0%

3.73

Don Mcbride

2W–14L career · type S

37%63%0%

3.49

Danny Denning

64W–77L career

36%64%0%

3.49

Bill Rhoades

79W–87L career

38%62%0%

3.48

3.5

Tom Lonergan

104W–99L career

0%86%14%

3.47

3.5

Anthony Valenzuela

37W–64L career

0%86%14%

3.47

3.5

Craig Mills

58W–89L career

0%89%11%

3.43

3.5

Sean Gay

4W–31L career

3%97%0%

3.21

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.