CRRC-Jacobsen

2026 Mixed 18 & Over · 7.0 Mixed

9 players · average NTRP 3.28 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.21 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.

3.64

Clare Belott

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

3.35

Kari Hastings

usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5

3.33

Cory Heisterkamp

usually #2 Doubles 50%, also #1 Doubles 38% · published 3.5

3.33

Dallas Kelle

usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5

3.23

Rick Harnden

usually #2 Doubles 60%, also #1 Doubles 40% · published 3.5

3.16

Vanessa Weber

usually #1 Doubles 57%, also #3 Doubles 29% · published 3

3.01

Chase Stowell

usually #3 Doubles 50%, also #1 Doubles 33% · published 3

2.96

Christina Bergstrom

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

2.87

Margaret Jacobsen

usually #3 Doubles 63%, also #2 Doubles 38% · 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.

3.5

Clare Belott

50W–20L career

0%41%59%

3.64

3.5

Kari Hastings

87W–75L career

0%98%2%

3.35

3.5

Cory Heisterkamp

86W–50L career

0%99%1%

3.33

3.5

Dallas Kelle

31W–35L career

0%99%1%

3.33

3.5

Rick Harnden

16W–22L career

1%99%0%

3.23

Vanessa Weber

55W–35L career

0%35%65%

3.16

Chase Stowell

32W–17L career

0%77%23%

3.01

Christina Bergstrom

67W–50L career

0%77%22%

2.96

Margaret Jacobsen

69W–50L career

0%98%2%

2.87

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.