Teams

Chappell

2022 Cap Mixed 18 & over · 7.0 Mixed

9 players · average NTRP 3.70 / NORTH CAROLINA

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Schedule7 played
2022-07-31vs GugliottaWon 10
W#2 DoublesMeghan Yancey / Robert Weaver vs Leslie Wright / Philip Gugliotta7-5, 6-2
2022-07-24vs MEveritt 18+Lost 12
W#1 DoublesMeggy Campbell / Joe Neylan vs Mary Hellner / Raymond Xu6-3, 6-2
L#2 DoublesKimberly Monsees / Robert Weaver vs Lola Jefferies / Stephen Holmes3-6, 6-7
L#3 DoublesJonathan Chappell / Jeanie White vs ROBIN Lamb / Ivan Andjelkovic7-5, 3-6, 0-1
2022-07-19vs HuffleCoupleWon 21
W#1 DoublesMeghan Yancey / Robert Weaver vs Sharon Lambe / William Smith6-1, 6-1
L#2 DoublesJonathan Chappell / Jeanie White vs Lisa Sun / Dale Lambe6-1, 3-1
W#3 DoublesKimberly Monsees / Thomas Bell vs Molly Clark / David Clark1-6, 6-3, 1-0
2022-07-17vs IJGoatcher 18+ MixedWon 10
W#3 DoublesMeggy Campbell / Joe Neylan vs Robert Caulfield / Denise Lange6-0, 6-1
2022-06-26vs GugliottaWon 20
W#1 DoublesMeggy Campbell / Joe Neylan vs Tracey Carlin / David Carlin6-4, 6-2
W#3 DoublesJonathan Chappell / Meghan Yancey vs Graham Wright / Leslie Wright6-1, 6-2
2022-06-18vs MEveritt 18+Lost 01
L#1 DoublesJeanie White / John Markham vs Raymond Xu / Mary Hellner7-5, 5-7, 0-1
2022-06-05vs HuffleCoupleWon 10
W#1 DoublesJonathan Chappell / Jeanie White vs Lewis Carroll / Andrea Miller6-2, 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.

Flight standings for 7.0 Mixed 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 3.50 estimated across 9 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.

3.85
Joe Neylan
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.78
Meghan Yancey
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
3.58
Meggy Campbell
published
3.58
Mary Penn Lunger
published
3.55
Thomas Bell
published
3.48
John Markham
published
3.34
Kimberly Monsees
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.19
Jeanie White
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
3.12
Carole Anne Hussey
published 3.5
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.

4
Joe Neylan
107W–46L career · 3 lines in 2022
<1%87%12%
3.85
4
Meghan Yancey
197W–72L career · 3 lines in 2022
2%94%4%
3.78
Meggy Campbell
4W–12L career · no lines in 2022
26%74%<1%
3.58
Mary Penn Lunger
7W–7L career · no lines in 2022
27%73%<1%
3.58
Thomas Bell
0W–3L career · no lines in 2022
35%65%<1%
3.55
John Markham
10W–7L career · no lines in 2022
55%45%<1%
3.48
3.5
Kimberly Monsees
127W–65L career · 2 lines in 2022
<1%88%11%
3.34
3.5
Jeanie White
132W–132L career · 6 lines in 2022
8%92%1%
3.19
3.5
Carole Anne Hussey
4W–12L career · no lines in 2022
18%81%<1%
3.12

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.