Teams

KWelsh/Smith

2022 Cap Spring USTA 40 & over · 3.5 Women

10 players · average NTRP 3.33 / NORTH 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 →
Schedule6 played
2022-05-12vs MSchantz40Won 10
W#1 DoublesElizabeth Easley / Jeanie White vs Wanda Wilson / Susan Rose6-2, 6-1
2022-04-28vs RMannLost 02
L#1 DoublesTyler Cunningham / Leslie Weaver vs Christine Subasic / Lorrie Hareza5-7, 7-5, 0-1
L#2 DoublesIlsy Chappell / Jeanie White vs Emalie Levine / Yuwie Hager2-6, 3-6
2022-04-07vs RMillsLost 01
L#1 SinglesJeanie White vs Kristen Wassel0-6, 3-6
2022-03-31Won 10
W#1 SinglesTyler Cunningham vs Lisa Freeman6-1, 6-2
2022-03-17Lost 01
L#2 DoublesCrystal Smith / Jeanie White vs Carrie O'Ferral / Diane Allen5-7, 6-7
2022-03-10vs AKERRLost 01
L#2 DoublesCrystal Smith / Jeanie White vs Kris Wordsworth / Melanie Tharrington3-6, 6-3, 0-1
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 3.5 Women 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 3.05 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.

3.37
Elizabeth Easley
published 3.5
3.21
Anna Kouba
published 3.5
3.19
Crystal Smith
published 3.5
3.19
Jeanie White
usually #2 Doubles 60%, also #1 Singles 20% · published 3.5
3.09
Tyler Cunningham
usually #1 Singles 50%, also #1 Doubles 50% · published 3
3.05
Stephanie Simpson
published
3.02
Ramsay Younger
published
2.81
Mandi Chappell
published 3
2.49
Lisa Pace
published
Kristi Wilson
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.

Anna Kouba + Elizabeth Easley224 matchesnot enough data
Crystal Smith + Elizabeth Easley213 matchesnot enough data
Ramsay Younger + Anna Kouba123 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.

3.5
Elizabeth Easley
12W–6L career · no lines in 2022
<1%85%15%
3.37
3.5
Anna Kouba
11W–9L career · no lines in 2022
5%94%1%
3.21
3.5
Crystal Smith
7W–11L career · no lines in 2022
7%92%1%
3.19
3.5
Jeanie White
132W–132L career · 5 lines in 2022
8%92%1%
3.19
3
Tyler Cunningham
46W–69L career · 2 lines in 2022
<1%24%76%
3.09
Stephanie Simpson
4W–4L career · no lines in 2022
36%64%<1%
3.05
Ramsay Younger
7W–9L career · no lines in 2022
<1%43%57%
3.02
3
Mandi Chappell
65W–63L career · no lines in 2022
1%92%7%
2.81
Lisa Pace
0W–3L career · no lines in 2022
52%48%<1%
2.49
Kristi Wilson
0W–1L 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.