PT&E/SJRC-Haas

2026 Mixed 18 & Over · 7.0 Mixed

10 players · average NTRP 3.65 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.43 estimated across 8 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

Quinn Hunt

usually #1 Doubles 43%, also #2 Doubles 29% · published 4

—

Michael Arellano

usually #1 Doubles 100% · published 4

3.67

Amartya Dutta

usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5

3.62

Tina Farrelly

usually #1 Doubles 57%, also #2 Doubles 29% · published 4

3.37

Stephanie Haas

usually #2 Doubles 43%, also #3 Doubles 29% · published 3.5

3.36

Peter Farrelly

usually #2 Doubles 80%, also #3 Doubles 20% · published 3.5

—

Anna Koepke

usually #2 Doubles 100% · published 3.5

3.23

Saul Hernandez Meza

usually #1 Doubles 100% · published 3.5

3.19

Rob Laing

usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5

3.08

Ericka Nelson

usually #3 Doubles 67%, also #2 Doubles 33% · 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.

Quinn Hunt

37W–16L career

0%94%6%

3.92

Michael Arellano

29W–12L career

not enough data

—

3.5

Amartya Dutta

36W–18L career

0%32%68%

3.67

Tina Farrelly

115W–43L career

8%92%0%

3.62

3.5

Stephanie Haas

66W–82L career

0%97%3%

3.37

3.5

Peter Farrelly

42W–55L career

0%96%4%

3.36

3.5

Anna Koepke

15W–23L career

not enough data

—

3.5

Saul Hernandez Meza

23W–20L career

2%98%0%

3.23

3.5

Rob Laing

29W–53L career

4%96%0%

3.19

3.5

Ericka Nelson

43W–59L career

16%84%0%

3.08

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.