VTC-Mikalatos/Skelly

2026 Mixed 18 & Over · 9.0 Mixed

9 players · average NTRP 4.5 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 4.07 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.

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Elijah Nelson

usually #1 Doubles 67%, also #2 Doubles 33% · published 5

4.27

Michael Furuya

usually #3 Doubles 38%, also #1 Doubles 38% · published 4.5

4.23

Lauren Skelly

usually #1 Doubles 78%, also #2 Doubles 11% · published 4.5

4.19

Rebecca Yu

usually #2 Doubles 50%, also #3 Doubles 38% · published 4.5

4.05

Sierra Wright

usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5

4.02

Emilee Plank

usually #1 Doubles 46%, also #3 Doubles 31% · published 4.5

4.00

Wahyu Setyawan

usually #1 Doubles 75%, also #3 Doubles 25% · published 4

3.94

Thomas McGirk

usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5

3.83

Krista Mikalatos

usually #2 Doubles 75%, also #3 Doubles 25% · published 4.5

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.

Elijah Nelson

98W–31L career

not enough data

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4.5

Michael Furuya

26W–26L career

0%96%3%

4.27

4.5

Lauren Skelly

68W–37L career

0%99%1%

4.23

4.5

Rebecca Yu

64W–49L career

1%99%0%

4.19

4.5

Sierra Wright

80W–69L career

8%92%0%

4.05

4.5

Emilee Plank

74W–48L career

10%90%0%

4.02

Wahyu Setyawan

107W–68L career

0%80%20%

4.00

4.5

Thomas McGirk

56W–73L career

27%73%0%

3.94

4.5

Krista Mikalatos

113W–80L career

58%42%0%

3.83

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.