Teams

VTC-Simpson/Damiano 7.0

2026 Mixed 18 & Over · 7.0 Mixed

9 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.34 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.

3.92
Kaytlynn Kolb
usually #1 Doubles 50%, also #3 Doubles 33% · published 4.5
3.46
Natasha Weinstock
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.42
Sean McKinnie
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
3.38
Joshua Murray
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
3.32
Joseph Leaptrott
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.32
Matthew Weinstock
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.20
Kara Petracca
usually #1 Doubles 44%, also #3 Doubles 44% · published 3.5
3.10
Terry Bennett
usually #1 Doubles 75%, also #2 Doubles 13% · published 3
2.95
Chris Simpson
usually #2 Doubles 33%, also #3 Doubles 33% · 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.

4.5
Kaytlynn Kolb
70W–38L career
32%68%0%
3.92
3.5
Natasha Weinstock
33W–31L career
0%88%12%
3.46
3.5
Sean McKinnie
53W–52L career
0%93%7%
3.42
3.5
Joshua Murray
14W–7L career · type S
0%96%4%
3.38
3.5
Joseph Leaptrott
13W–17L career · type S
0%98%2%
3.32
3.5
Matthew Weinstock
18W–12L career
2%94%5%
3.32
3.5
Kara Petracca
71W–40L career
2%98%0%
3.20
3
Terry Bennett
39W–24L career
0%54%46%
3.10
3
Chris Simpson
50W–40L career
0%90%10%
2.95

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.