Teams

LCTA55/Hubbard/LTP-DI

2022 USTA 55 & Over Spring · Men-4.0

12 players · average NTRP 3.50 / SOUTH CAROLINA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →

Flight standings for Men-4.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.59 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.

3.84
Thomas Browne
published
3.73
Rohn Wagoner
published
3.70
Jack Barker
published 3.5
3.61
Robert Bertolini
published
3.57
Keith Pridgen
published
3.52
David Hubbard
published 3.5
3.41
Michael Ward
published
3.31
Hong Pi
published 3.5
Michael Nelson
published
Mike Loconte
published
Neil Johnson
published
Rudy Gill
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Robert Bertolini + Hong Pi6850% games−1.8% vs expected
Michael Ward + David Hubbard51342% games−6.7% vs expected
David Hubbard + Hong Pi1543% gamesnot enough data
Hong Pi + Mike Loconte1438% gamesnot enough data
Jack Barker + Keith Pridgen134 matchesnot enough data
Michael Nelson + Keith Pridgen044 matchesnot enough data
Michael Ward + Neil Johnson123 matchesnot enough data
David Hubbard + Neil Johnson123 matchesnot enough data
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. Lines played in this team’s season are shown beside each name.

Thomas Browne
37W–14L career · no lines in 2022
<1%88%11%
3.84
Rohn Wagoner
8W–5L career · no lines in 2022
4%94%2%
3.73
3.5
Jack Barker
38W–23L career · type A · no lines in 2022
<1%6%94%
3.70
Robert Bertolini
74W–80L career · no lines in 2022
19%81%<1%
3.61
Keith Pridgen
103W–101L career · no lines in 2022
29%71%<1%
3.57
3.5
David Hubbard
58W–90L career · no lines in 2022
<1%45%55%
3.52
Michael Ward
53W–49L career · no lines in 2022
<1%76%24%
3.41
3.5
Hong Pi
38W–80L career · no lines in 2022
1%92%7%
3.31
Michael Nelson
16W–23L career · no lines in 2022
not enough data
Mike Loconte
7W–10L career · no lines in 2022
not enough data
Neil Johnson
18W–28L career · no lines in 2022
not enough data
Rudy Gill
3W–6L career · no lines in 2022
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. 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.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.