MPRC-Alfonso/Tompkins

2026 Mixed 18 & Over · 6.0 Mixed

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

Scouting

Roster averages 2.97 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.

3.43

Wei Li

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

3.38

Joshua Slate

usually #1 Doubles 56%, also #2 Doubles 33% · published 3.5

3.01

Kristi Tompkins

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

3.00

Reno Brown

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

2.98

Dan Blaker

usually #2 Doubles 100% · published 3

2.94

Ellie Linn

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

2.83

Andy Alfonso

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

2.75

Craig Tompkins

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

2.73

Susan Douglas

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

2.67

Jing Bennett

usually #1 Doubles 100% · 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

Wei Li

24W–24L career

0%92%8%

3.43

3.5

Joshua Slate

40W–13L career

0%93%7%

3.38

Kristi Tompkins

67W–79L career · type A

0%78%22%

3.01

Reno Brown

24W–17L career

0%81%19%

3.00

Dan Blaker

34W–47L career

0%83%17%

2.98

Ellie Linn

17W–17L career

0%87%13%

2.94

Andy Alfonso

58W–59L career

0%99%1%

2.83

Craig Tompkins

32W–33L career

4%94%2%

2.75

Susan Douglas

23W–32L career

2%98%0%

2.73

Jing Bennett

38W–34L career

4%96%0%

2.67

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.