Teams

CV-Indian Wells TG/Giles

2023 SoCal Doubles - CV · CV Men's 3.5

1 players · average NTRP 3.5 · USTA/SO. CALIFORNIA / SO.CALIFORNIA

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Scouting

Roster averages 3.36 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.

3.36
Tom Sloan
usually #2 Doubles 86%, also #1 Doubles 14% · published 3.5
Results7 ties
2023-12-03Lost 01
L#2 DoublesRandy Diamond / Tom Sloan vs Paul Cain / Glen Stock6-4, 1-6, 1-0
2023-11-26Won 10
W#2 DoublesRandy Diamond / Tom Sloan vs Bassem Boutros / Charles Haugh6-3, 5-7, 1-0
2023-11-19Won 10
W#2 DoublesRandy Diamond / Tom Sloan vs Gary Dixon / Edwin LIEW-FERGUSON6-2, 7-5
2023-11-05Won 10
W#2 DoublesTom Sloan / Randy Diamond vs Roger Lujan / Andrew Poulton6-0, 6-0
2023-10-29Won 10
W#2 DoublesTom Sloan / Randy Diamond vs Paul Cain / Roger Davis6-4, 6-3
2023-10-22Won 10
W#2 DoublesRandy Diamond / Tom Sloan vs Dennis Howey / Dave Girling6-4, 6-4
2023-10-15Lost 01
L#1 DoublesRandy Diamond / Tom Sloan vs Edwin LIEW-FERGUSON / Danny Hitt6-3, 6-1
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
Tom Sloan
65W–40L career
0%94%5%
3.36

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.