Teams

PAYNE/HOLSTEIN

2024 South East Tennis Mixed Doubles 55 & Over · MIXED 55 & OVER 3.5

14 players · average NTRP 3.50 / NORTH CAROLINA

View scouting list →
Schedule5 played
2024-07-24vs Kysely / LeeWon 10
W#2 DoublesFred Broyles / Melissa Martin vs Anne Goodwin / Stuart Ross6-1, 4-6, 1-0
2024-07-20vs Wilson (DAY)Lost 01
L#2 DoublesEdwin Tillman / Melissa Martin vs Jeff Walker / Margaret Varga-Roberson4-6, 4-6
2024-06-26vs Wilson (DAY)Lost 01
L#1 DoublesEdwin Tillman / Melissa Martin vs Neal Montany / Margaret Varga-Roberson6-7, 0-6
2024-06-22vs Wong/ScheerWon 10
W#3 DoublesMelissa Martin / Edwin Tillman vs Nancy Garland / Joseph Kugler3-6, 6-3, 1-0
2024-06-12vs Kysely / LeeWon 10
W#3 DoublesEdwin Tillman / Melissa Martin vs YI HUANG / Lorraine Lee6-1, 6-3
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 55 & OVER 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 3.38 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.

3.75
Jerry Klawitter
published
3.70
Gary Milner
published
3.66
Lawrence Baumeister
published
3.42
Mike Holstein
published
3.39
Phyllis Sheets
published
3.35
Melissa Martin
usually #3 Doubles 50%, also #2 Doubles 40% · published 3.5
3.28
Edwin Tillman
published
3.28
David Restione
published 3.5
3.20
Sydney Werner
published
3.16
Fred Broyles
published
2.97
Kathleen Murphy
published
Joan Proctor
published
Kathleen Kunze
published
Sharon Wesson
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.

Edwin Tillman + Kathleen Murphy213 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.

Jerry Klawitter
12W–15L career · no lines in 2024
4%93%4%
3.75
Gary Milner
23W–12L career · no lines in 2024
8%91%2%
3.70
Lawrence Baumeister
12W–20L career · no lines in 2024
13%86%1%
3.66
Mike Holstein
24W–18L career · no lines in 2024
<1%72%27%
3.42
Phyllis Sheets
12W–11L career · no lines in 2024
<1%78%22%
3.39
3.5
Melissa Martin
58W–52L career · 10 lines in 2024
1%85%15%
3.35
Edwin Tillman
18W–12L career · no lines in 2024
2%92%6%
3.28
3.5
David Restione
11W–11L career · no lines in 2024
2%92%6%
3.28
Sydney Werner
7W–10L career · no lines in 2024
8%91%2%
3.20
Fred Broyles
39W–23L career · no lines in 2024
<1%13%87%
3.16
Kathleen Murphy
14W–22L career · no lines in 2024
58%42%<1%
2.97
Joan Proctor
14W–7L career · no lines in 2024
not enough data
Kathleen Kunze
4W–8L career · no lines in 2024
not enough data
Sharon Wesson
3W–9L career · no lines in 2024
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.