CAC-Deems

2026 Adult 18 & Over · 4.0 Men

10 players · average NTRP 3.9 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.72 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.

4.06

Mike Zielinski

usually #1 Doubles 46%, also #3 Doubles 23% · published 4

3.86

Zachary Meloche

usually #2 Doubles 40%, also #1 Singles 20% · published 4

3.83

William Creger

usually #2 Doubles 67%, also #1 Doubles 33% · published 4

3.72

Cristian Crisan

usually #3 Doubles 33%, also #1 Singles 33% · published 4

3.68

Sheng Saechao

usually #1 Doubles 50%, also #3 Doubles 25% · published 4

3.68

Josh Meyer

usually #1 Singles 33%, also #2 Doubles 33% · published 4

3.66

Kenton Bui

usually #3 Doubles 50%, also #2 Doubles 25% · published 4

3.65

Matt Deems

published 4

3.60

Spencer Byrd

usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5

3.50

Dylan Amici

usually #2 Doubles 55%, also #3 Doubles 36% · 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.

Mike Zielinski

57W–38L career

0%67%33%

4.06

Zachary Meloche

65W–41L career

0%94%6%

3.86

William Creger

71W–41L career

1%96%3%

3.83

Cristian Crisan

41W–46L career

3%96%0%

3.72

Sheng Saechao

72W–52L career

4%96%0%

3.68

Josh Meyer

33W–15L career

7%93%0%

3.68

Kenton Bui

7W–16L career

9%91%0%

3.66

Matt Deems

92W–49L career

17%81%2%

3.65

3.5

Spencer Byrd

82W–43L career

0%53%48%

3.60

3.5

Dylan Amici

9W–11L career

0%78%22%

3.50

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.