Teams

LCTA39/Spring/ParkWest

2022 LCTA 39 & Over Fall League · 39 & over Fall - Women - 3.5 Day

13 players · average NTRP 3.62 / SOUTH 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 →
Schedule2 played
2022-10-26vs LCTA39/Emge/Dunes WestWon 10
W#2 DoublesKristin Berry / Iliana Bleau vs Ann Mitchell / Marissa Regan1-6, 7-6, 1-0
2022-09-28Lost 01
L#2 DoublesYulia Misciagna / Iliana Bleau vs Amy Baker / Michelle Walsh3-6, 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 39 & over Fall - Women - 3.5 Day 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 3.37 estimated across 11 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.

3.86
Callie Condie
published 4
3.86
Kristin Berry
published
3.58
Rebecca Ambrose
published
3.30
Lauri Steeland
published
3.28
Iliana Bleau
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.23
Sylvia Delsalto
published
3.23
Kimberly Ring
published
3.22
Alise McCormack
published 3.5
3.20
Cathy Cocolas
published 3.5
3.20
Yulia Misciagna
published
3.13
Mindy Spring
published
Jenny Biggs
published
Na Jin Seo
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.

Callie Condie + Kristin Berry14566% games+14.9% vs expected
Kimberly Ring + Rebecca Ambrose6154% games+1.2% vs expected
Alise McCormack + Sylvia Delsalto251653% games−1.0% vs expected
Yulia Misciagna + Sylvia Delsalto2543% games−2.5% vs expected
Kimberly Ring + Sylvia Delsalto0533% games−18.6% vs expected
Kimberly Ring + Kristin Berry5069% gamesnot enough data
Kimberly Ring + Alise McCormack314 matchesnot enough data
Kimberly Ring + Lauri Steeland314 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
Callie Condie
67W–34L career · no lines in 2022
<1%85%15%
3.86
Kristin Berry
71W–19L career · no lines in 2022
<1%85%14%
3.86
Rebecca Ambrose
89W–62L career · no lines in 2022
27%73%<1%
3.58
Lauri Steeland
41W–11L career · no lines in 2022
1%93%6%
3.30
3.5
Iliana Bleau
109W–93L career · 3 lines in 2022
2%94%5%
3.28
Sylvia Delsalto
88W–72L career · no lines in 2022
4%94%2%
3.23
Kimberly Ring
56W–34L career · no lines in 2022
4%94%2%
3.23
3.5
Alise McCormack
54W–53L career · no lines in 2022
5%94%2%
3.22
3.5
Cathy Cocolas
40W–24L career · no lines in 2022
6%93%1%
3.20
Yulia Misciagna
53W–70L career · no lines in 2022
7%92%1%
3.20
Mindy Spring
54W–102L career · no lines in 2022
17%83%<1%
3.13
Jenny Biggs
44W–52L career · no lines in 2022
not enough data
Na Jin Seo
75W–43L 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.