Teams

Boyko/Carlton

2024 One Doubles · 3.0 Men

2 players · average NTRP 3.25 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.60 estimated across 1 rated player. 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.

3.60
Robert Carlton
usually #1 Doubles 100% · published 3.5
Taylor Boyko
usually #1 Doubles 100% · published 3
Results7 ties
2024-08-04Lost 01
L#1 DoublesRobert Carlton / Taylor Boyko vs Ryan Tunmore - (DQ)* / Jeremy Chiang7-6, 7-6
2024-07-31Won 10
W#1 DoublesTaylor Boyko / Robert Carlton vs Dan McMillan / Robert Savelich6-3, 6-1
2024-07-30Lost 01
L#1 DoublesRobert Carlton / Ben Gionet vs Frank Ferschweiler / Jeremy Chiang6-2, 6-1
2024-07-29Won 10
W#1 DoublesRobert Carlton / Ben Gionet vs Dan McMillan / Robert Savelich6-2, 6-0
2024-07-24Won 10
W#1 DoublesTaylor Boyko / Robert Carlton vs George Scott / Norman Langston6-0, 6-2
2024-07-05Lost 01
L#1 DoublesTaylor Boyko / Robert Carlton vs Jason Floyd / Todd Khozein6-2, 6-4
2024-06-14Won 10
W#1 DoublesTaylor Boyko / Robert Carlton vs Jack Dempsey / Brian Parker6-0, 6-0
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
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
Robert Carlton
23W–6L career
0%52%48%
3.60
3
Taylor Boyko
7W–10L career
not enough data

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.