Teams

KBarsness

2022 Capital Fall 40 & Over Singles League · 3.0 Women

6 players · average NTRP 3.00 / NORTH CAROLINA

View scouting list →
Schedule6 played
2022-10-03vs MGonella/RizzoLost 02
L#1 SinglesKari Barsness vs Sarah Overholser3-6, 3-6
L#2 SinglesStephanie Suski vs Dana Aderhold4-6, 1-6
2022-09-26vs KLambSLost 12
L#1 SinglesJennifer Guy vs Kathryn Kiel4-6, 4-6
W#2 SinglesKari Barsness vs Melanie Price4-6, 6-4, 1-0
L#3 SinglesStephanie Suski vs Vinaya Verghese4-6, 3-6
2022-09-19vs MSteinhardtWon 20
W#2 SinglesStephanie Suski vs Mandy Steinhardt4-6, 6-1, 1-0
W#3 SinglesCatherine Bray vs Chandra Cahoon6-3, 6-0
2022-08-29vs KLambSLost 01
L#3 SinglesCatherine Bray vs Kimberly Lamb6-1, 4-6, 0-1
2022-08-22vs MSteinhardtWon 30
W#1 SinglesTheresa Critcher vs Amy Cuni7-6, 2-6, 1-0
W#2 SinglesJennifer Guy vs Heidi McCann4-6, 6-2, 1-0
W#3 SinglesStephanie Suski vs Mandy Steinhardt6-2, 6-4
2022-08-18vs MGonella/RizzoLost 02
L#1 SinglesCatherine Bray vs Dana Aderhold6-4, 4-6, 0-1
L#2 SinglesTheresa Critcher vs Julie Rizzo3-6, 4-6
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 3.0 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 2.93 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.

3.00
Jennifer Guy
usually #2 Singles 50%, also #1 Singles 50% · published 3
2.99
Stephanie Suski
usually #3 Singles 50%, also #2 Singles 50% · published 3
2.98
Kari Barsness
usually #2 Singles 50%, also #1 Singles 50% · published 3
2.90
Theresa Critcher
usually #2 Singles 50%, also #1 Singles 50% · published 3
2.86
Catherine Bray
usually #3 Singles 67%, also #1 Singles 33% · published 3
2.84
Betsy Fulcher
published 3
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.

Theresa Critcher + Jennifer Guy15560% games+7.1% vs expected
Catherine Bray + Kari Barsness6159% games+5.3% vs expected
Stephanie Suski + Theresa Critcher8653% gamesnot enough data
Catherine Bray + Theresa Critcher123 matchesnot enough data
Kari Barsness + Stephanie Suski213 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
Jennifer Guy
72W–57L career · 2 lines in 2022
<1%50%50%
3.00
3
Stephanie Suski
125W–101L career · 4 lines in 2022
<1%52%48%
2.99
3
Kari Barsness
125W–125L career · 2 lines in 2022
<1%56%44%
2.98
3
Theresa Critcher
132W–78L career · 2 lines in 2022
<1%78%22%
2.90
3
Catherine Bray
61W–53L career · 3 lines in 2022
<1%86%14%
2.86
3
Betsy Fulcher
10W–5L career · no lines in 2022
<1%88%11%
2.84

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.