Teams

MO/Kim/TriLevel

2022 Springfield Adult Trilevel · Women's Trilevel

11 players · average NTRP 3.88 / MISSOURI

View scouting list →
Schedule3 played
2022-10-08vs Clarissa's TeamWon 10
W#1 DoublesAmy Mathew / Lucy Stein vs Laurel Owen / Diane Werner6-4, 6-4
2022-10-08vs Clarissa's TeamSplit 11
W#1 DoublesSharon Bennett / Lucy Stein vs Laurel Owen / Diane Werner6-0, 6-0
L#2 DoublesKelly Kramer / Margaret Taylor vs Clarissa Steele / Mona Palmer4-6, 4-6
2022-10-08vs Clarissa's TeamWon 20
W#1 DoublesAmy Mathew / Sharon Bennett vs Laurel Owen / Diane Werner6-4, 6-0
W#2 DoublesPatricia Musick / Kelly Kramer vs Clarissa Steele / Mona Palmer6-4, 6-2
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 · Women's Trilevel
TeamWLInd. WInd. LSets lostGames lost
1MO/Kim/TriLevel3081463
2Clarissa's Team031816103

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 3.61 estimated across 6 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.

3.91
Amy Mathew
usually #1 Doubles 100% · published 4
3.75
Hee-Sun Kim
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.64
Margaret Taylor
usually #2 Doubles 100% · published
3.56
Leslie Echols
usually #1 Doubles 42%, also #3 Doubles 42% · published
3.46
Kelly Kramer
usually #2 Doubles 100% · published
3.33
Debbie Pell
usually #1 Doubles 63%, also #3 Doubles 25% · published 3.5
Katherine Clouse
usually #2 Doubles 80%, also #3 Doubles 20% · published
Lucy Stein
usually #1 Doubles 100% · published
Patricia Musick
usually #2 Doubles 100% · published
Sharon Bennett
usually #1 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.

Patricia Musick + Kelly Kramer7068% games+11.1% vs expected
Katherine Clouse + Leslie Echols6071% games+10.8% vs expected
Leslie Echols + Debbie Pell5451% games+7.3% vs expected
Katherine Clouse + Debbie Pell4157% games+5.3% vs expected
Hee-Sun Kim + Margaret Taylor13656% games+1.2% vs expected
Margaret Taylor + Debbie Pell2351% gamesnot enough data
Kelly Kramer + Christina Johnson404 matchesnot enough data
Patricia Musick + Katherine Clouse303 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.

4
Amy Mathew
89W–121L career · 2 lines in 2022
<1%76%24%
3.91
4
Christina Johnson
7W–6L career · no lines in 2022
not enough data
4
Hee-Sun Kim
85W–75L career · 8 lines in 2022
3%95%3%
3.75
Margaret Taylor
30W–31L career · 1 line in 2022
14%86%<1%
3.64
Leslie Echols
111W–71L career · 12 lines in 2022
33%67%<1%
3.56
Kelly Kramer
49W–29L career · 2 lines in 2022
61%39%<1%
3.46
3.5
Debbie Pell
112W–89L career · 8 lines in 2022
1%90%9%
3.33
Katherine Clouse
47W–20L career · 10 lines in 2022
not enough data
Lucy Stein
47W–23L career · 2 lines in 2022
not enough data
Patricia Musick
67W–15L career · 1 line in 2022
not enough data
Sharon Bennett
15W–5L career · 2 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.