MAC-Bourland

2026 Mixed 40 & Over · 6.0 Mixed

10 players · average NTRP 3.1 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 2.99 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.

3.46

Paul Garrahan

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

3.45

Jennifer Stevenson

usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5

3.26

Lisa Howlett

published 3.5

3.10

Jason Trinchero

usually #3 Doubles 50%, also #2 Doubles 33% · published 3

3.08

Adrienne Dedelow

usually #1 Doubles 100% · published 3

3.02

Jennifer Bayless

usually #1 Doubles 50%, also #2 Doubles 50% · published 3

2.78

Brian Chenoweth

usually #2 Doubles 67%, also #1 Doubles 33% · published 3

2.75

Brian Parker

usually #3 Doubles 100% · published 3

2.72

Madeleine Bourland

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

2.26

Kip Stevenson

usually #2 Doubles 100% · published 2.5

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.

3.5

Paul Garrahan

129W–39L career

0%89%11%

3.46

3.5

Jennifer Stevenson

91W–96L career

0%91%9%

3.45

3.5

Lisa Howlett

31W–21L career · type S

5%91%4%

3.26

Jason Trinchero

30W–15L career

0%53%47%

3.10

Adrienne Dedelow

35W–35L career

0%57%43%

3.08

Jennifer Bayless

61W–13L career

0%76%24%

3.02

Brian Chenoweth

36W–52L career

0%99%1%

2.78

Brian Parker

36W–48L career

1%99%0%

2.75

Madeleine Bourland

64W–53L career

2%98%0%

2.72

2.5

Kip Stevenson

35W–94L career

0%92%8%

2.26

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.