Teams

JCC - Networkers

2024 HTA Spring NA - Ladies Doubles Tuesday · 4.0 Ladies Doubles

14 players · average NTRP 3.80 / TEXAS

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 →
Schedule1 played
2024-02-06Won 10
W#4 DoublesLeslie Goldman Tepper / Pam Penn vs N/A6-0, 6-0
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 4.0 Ladies Doubles 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 3.42 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.

3.64
Akhila Reddy
published 4
3.57
Jaree Lee
published
3.53
Jennifer Cowan
published
3.53
3.50
Dixie Bowers
published
3.49
Sherry Kirchoff
published
3.46
Leslie Goldman Tepper
usually #4 Doubles 100% · published 4
3.27
Pam Penn
published
3.25
Diane Saylor
published 3.5
3.23
Nataliya Bulayeva
published
3.12
Caroline Champion
published 3.5
Jing Zhou
published
Noriko Chandler
published
Wenli Liu
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.

Nataliya Bulayeva + Jennifer Cowan4251% games+8.0% vs expected
Noriko Chandler + Akhila Reddy6356% games+7.2% vs expected
Jennifer Cowan + Akhila Reddy2350% games+0.5% vs expected
Nataliya Bulayeva + Jing Zhou7451% games−0.4% vs expected
Jennifer Cowan + Carolina Moskosky2946% games−2.6% vs expected
Dixie Bowers + Diane Saylor131547% games−4.9% vs expected
Caroline Champion + Sherry Kirchoff2343% gamesnot enough data
Jennifer Cowan + Noriko Chandler3255% 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.

4
Akhila Reddy
23W–25L career · no lines in 2024
17%83%<1%
3.64
Jaree Lee
5W–8L career · no lines in 2024
31%69%<1%
3.57
Jennifer Cowan
46W–49L career · no lines in 2024
42%58%<1%
3.53
4
Carolina Moskosky
23W–29L career · no lines in 2024
43%57%<1%
3.53
Dixie Bowers
28W–34L career · no lines in 2024
<1%49%51%
3.50
Sherry Kirchoff
9W–17L career · no lines in 2024
54%46%<1%
3.49
4
Leslie Goldman Tepper
14W–18L career · type A · 1 line in 2024
60%40%<1%
3.46
Pam Penn
8W–10L career · no lines in 2024
3%92%5%
3.27
3.5
Diane Saylor
29W–34L career · no lines in 2024
4%93%4%
3.25
Nataliya Bulayeva
41W–51L career · no lines in 2024
<1%5%95%
3.23
3.5
Caroline Champion
19W–50L career · no lines in 2024
20%80%<1%
3.12
Jing Zhou
9W–9L career · no lines in 2024
not enough data
Noriko Chandler
74W–70L career · no lines in 2024
not enough data
Wenli Liu
6W–23L career · no lines in 2024
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.