Teams

Higgins

2025 NOGTA USTA Mixed 40 & Over - Summer · Mixed 3.5

11 players · average NTRP 3.00 / GEORGIA

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 →
Schedule3 played
2025-08-06vs AkposeWon 10
W#1 DoublesMichelle Rauch / Scott Higgins vs Amy Weathers / Roger Ross6-1, 6-2
2025-07-30vs AkposeLost 02
L#1 DoublesSuzan House / Reggie Vachon vs Jill Robinson / Shaun Lackey0-6, 2-6
L#2 DoublesApril Chambers / Shane Wilson vs Whitney Paradis / Johnny Kendrick1-6, 3-6
2025-07-23vs AkposeLost 03
L#1 DoublesSharel Hooper / Shane Wilson vs Emily Maynard / Robert Hansen2-6, 1-6
L#2 DoublesLynne Barkeloo / Jeff Wright vs Jewel Akpose / Jeff McBrayer3-6, 3-6
L#3 DoublesApril Chambers / Scott Higgins vs Amy Weathers / Dave Dameron1-6, 3-6
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.

Flight standings for Mixed 3.5 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 3.21 estimated across 11 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.

3.49
Sharel Hooper
usually #1 Doubles 100% · published
3.46
Suzan House
usually #1 Doubles 100% · published
3.33
Lynne Barkeloo
usually #2 Doubles 100% · published
3.28
Tara McFarlane
published
3.23
Lori Boyd
published
3.23
Wayne Albergotti
published
3.17
Michelle Rauch
usually #1 Doubles 100% · published
3.16
Reggie Vachon
usually #1 Doubles 100% · published
3.15
Scott Sorrow
published
3.11
Scott Higgins
usually #1 Doubles 50%, also #3 Doubles 50% · published
2.75
April Chambers
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
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.

Scott Sorrow + Lynne Barkeloo314 matchesnot enough data
Suzan House + Wayne Albergotti134 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.

Sharel Hooper
21W–21L career · 1 line in 2025
<1%52%48%
3.49
Suzan House
23W–15L career · 1 line in 2025
<1%62%38%
3.46
Lynne Barkeloo
55W–28L career · 1 line in 2025
<1%1%99%
3.33
Tara McFarlane
47W–66L career · no lines in 2025
2%92%6%
3.28
Lori Boyd
3W–3L career · no lines in 2025
5%92%3%
3.23
Wayne Albergotti
9W–16L career · no lines in 2025
5%92%2%
3.23
Michelle Rauch
19W–24L career · 1 line in 2025
12%88%1%
3.17
Reggie Vachon
8W–18L career · 1 line in 2025
13%86%1%
3.16
Scott Sorrow
10W–12L career · no lines in 2025
15%85%1%
3.15
Scott Higgins
31W–24L career · 2 lines in 2025
22%78%<1%
3.11
3
April Chambers
15W–29L career · 2 lines in 2025
4%93%3%
2.75

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.