Teams

MIT:Marshall

2022 VT Tri-Level Women · 3.5 Women

4 players · average NTRP / VERMONT

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Schedule10 played
2022-12-11vs ESB:StrausserLost 01
L#1 DoublesSara Marshall / Victoria Luksch vs Margaret Limoge / Jennifer Weiss5-7, 2-6
2022-12-04vs ESB:BTC Gals:KirkpatrickLost 01
L#1 DoublesJanis Bark / Sara Marshall vs Shona Mossey-Lothrop / Stephanie Lacayo6-3, 3-6, 0-1
2022-12-03vs OC:The Diehards:Yost/FoulkWon 10
W#1 DoublesJanis Bark / Victoria Luksch vs Rosa Affleck / Katherine Lenhart6-4, 6-2
2022-11-13vs ESB:RichardsonLost 01
L#1 DoublesJanis Bark / Peggy Clement vs Jeanne Blackmore / Maura Wygmans7-6, 6-7, 0-1
2022-11-08vs ESB:RichardsonLost 01
L#1 DoublesJanis Bark / Peggy Clement vs Kim McManus / Maura Wygmans7-5, 3-6, 1-0
2022-10-30vs ESB:BTC Gals:KirkpatrickWon 10
W#1 DoublesJanis Bark / Peggy Clement vs Mary Kirkpatrick / Shona Mossey-Lothrop6-2, 7-5
2022-10-30vs EE:Morgan-Yatzor/SamterWon 10
W#1 DoublesVictoria Luksch / Sara Marshall vs Deidre Riehle / Linda Samter6-2, 6-2
2022-10-29vs ESB:StrausserLost 01
L#1 DoublesSara Marshall / Victoria Luksch vs Jennifer Weiss / Margaret Limoge2-6, 4-6
2022-10-23vs OC:The Diehards:Yost/FoulkWon 10
W#1 DoublesJanis Bark / Peggy Clement vs Jennifer Connors / Katherine Lenhart6-2, 6-3
2022-10-09vs EE:Morgan-Yatzor/SamterWon 10
W#1 DoublesSara Marshall / Victoria Luksch vs Linda Samter / Deidre Riehle6-4, 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 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 3.28 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.

3.70
Victoria Luksch
usually #1 Doubles 100% · published
3.25
Peggy Clement
usually #1 Doubles 100% · published
2.89
Sara Marshall
usually #1 Doubles 100% · published
Janis Bark
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.

Peggy Clement + Victoria Luksch4165% games+24.5% vs expected
Victoria Luksch + Sara Marshall6458% games+8.0% vs expected
Janis Bark + Peggy Clement8754% games+1.2% vs expected
Janis Bark + Sara Marshall2742% games−24.8% vs expected
Janis Bark + Victoria Luksch224 matchesnot enough data
Peggy Clement + Sara Marshall033 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.

Victoria Luksch
72W–47L career · 5 lines in 2022
6%93%1%
3.70
Peggy Clement
40W–44L career · 4 lines in 2022
3%95%3%
3.25
Sara Marshall
42W–63L career · 5 lines in 2022
79%21%<1%
2.89
Janis Bark
42W–71L career · 6 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.