Teams

SMREC

2022 CTA WOMEN'S DAYTIME DOUBLES - ASPEN · MOUNTAINS

8 players · average NTRP 4.00 / COLORADO

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 →
Schedule4 played
2022-09-02vs SMCLost 01
L#1 DoublesKylee Kelbaugh / Kimberly Welsh vs Shelley Lundh / Maryanne McKenzie6-3, 3-6, 0-1
2022-08-26vs SMCWon 10
W#1 DoublesAmy Fullerton / Kylee Kelbaugh vs Shelley Lundh / Maryanne McKenzie6-1, 7-6
2022-08-05vs SMCLost 02
L#1 DoublesSandra Iglehart / Alison Vansax vs Cindy Zasacky / Shauna McFeeley3-6, 6-3, 0-1
L#2 DoublesAmy Fullerton / Sunni McBride vs Aimee Smith / Maryanne McKenzie2-4
2022-07-29vs SMCLost 12
W#1 DoublesNina Leonard / Stacey Mays vs Cindy Zasacky / Shauna McFeeley6-0, 6-0
L#2 DoublesAmy Fullerton / Kimberly Welsh vs Peg Devan / Shelley Lundh5-7, 6-7
L#3 DoublesAlison Vansax / Kylee Kelbaugh vs Aimee Smith / Maryanne McKenzie7-5, 4-6, 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 standings2 teams · MOUNTAINS
TeamWLInd. WInd. LSets lostGames lost
1SMC3351329199
2SMREC1521632197

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3 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.

4.25
Stacey Mays
usually #1 Doubles 100% · published
Alison Vansax
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.56
Shelley Lundh
published 4
2.96
Kimberly Welsh
usually #2 Doubles 50%, also #1 Doubles 50% · published
Kylee Kelbaugh
usually #1 Doubles 67%, also #3 Doubles 33% · published
Nina Leonard
usually #1 Doubles 100% · published
Sandra Iglehart
usually #1 Doubles 100% · published
Sunni McBride
usually #2 Doubles 100% · 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.

Shelley Lundh + Alison Vansax4255% gamesnot enough data
Shelley Lundh + Kimberly Welsh1435% gamesnot enough data
Nina Leonard + Stacey Mays5080% gamesnot 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.

Stacey Mays
51W–11L career · 1 line in 2022
3%95%3%
4.25
4
Alison Vansax
18W–19L career · 2 lines in 2022
not enough data
4
Shelley Lundh
75W–121L career · no lines in 2022
33%67%<1%
3.56
Kimberly Welsh
21W–46L career · 2 lines in 2022
61%39%<1%
2.96
Kylee Kelbaugh
3W–5L career · 3 lines in 2022
not enough data
Nina Leonard
6W–1L career · 1 line in 2022
not enough data
Sandra Iglehart
0W–1L career · 1 line in 2022
not enough data
Sunni McBride
0W–1L career · 1 line 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.