Teams

CDTA W M40&OX8.0 3.College Park Yang Sat 6 $23

CDTA 2Winter Mixed 40 & over · CDTA 40 & Over 8.0 Mixed Winter

10 players · average NTRP 3.80 / CHICAGO

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 →
Schedule5 played
L#2 DoublesJazz Burks / Haiying Yuan vs John Li / Debbi Landorf2-6, 6-3, 0-1
L#1 DoublesShirley Liu / Chung-Fu Shih vs Debbi Landorf / John Li1-6, 6-7
L#2 DoublesPamela Leichtling / Jazz Burks vs Priscilla Ewaldz / Kevin Podwika1-6, 2-6
W#3 DoublesHaiying Yuan / Ming Yang vs Julie Hahn / Ken Sitar6-2, 3-6, 1-0
L#2 DoublesMing Yang / Marina Minkina vs Bruce Thornquist / Sara Marberry5-7, 1-6
L#3 DoublesMartin Lu / Haiying Yuan vs Joon Sung / Crystal Leighton2-6, 0-6
L#1 DoublesJackie Spicuzza / Jazz Burks vs Colleen Chionis / Carlos Flores2-6, 2-6
L#2 DoublesShirley Liu / Chung-Fu Shih vs Sophia Koliatsis / Rafael Lozada6-7, 4-6
L#3 DoublesMarina Minkina / Martin Lu vs Priscilla Ewaldz / Derek Majka2-6, 1-6
L#1 DoublesMing Yang / Haiying Yuan vs El Cid Balitaan / Silvia Kusaka3-6, 2-6
L#2 DoublesJazz Burks / Emma Lee vs Young Choi / Stephanie Batka4-6, 0-6
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 CDTA 40 & Over 8.0 Mixed Winter 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 3.43 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.

3.79
Jazz Burks
usually #2 Doubles 50%, also #3 Doubles 33% · published 4
3.77
Chung-Fu Shih
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.45
Pamela Leichtling
usually #2 Doubles 100% · published 4
3.28
Marina Minkina
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.21
Haiying Yuan
usually #2 Doubles 38%, also #1 Doubles 38% · published 3.5
3.05
Emma Lee
usually #2 Doubles 100% · published
Jackie Spicuzza
usually #1 Doubles 100% · published
Martin Lu
usually #3 Doubles 100% · published
Ming Yang
usually #3 Doubles 33%, also #1 Doubles 33% · published
Shirley 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.

Shirley Liu + Chung-Fu Shih7351% gamesnot enough data
Ming Yang + Haiying Yuan1441% gamesnot enough data
Jackie Spicuzza + Jazz Burks224 matchesnot enough data
Haiying Yuan + Jazz Burks123 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
Jazz Burks
229W–226L career · 6 lines in 2024
2%91%7%
3.79
4
Chung-Fu Shih
22W–31L career · type S · 2 lines in 2024
3%92%5%
3.77
4
Pamela Leichtling
47W–107L career · 1 line in 2024
63%37%<1%
3.45
3.5
Marina Minkina
90W–129L career · 2 lines in 2024
2%92%6%
3.28
3.5
Haiying Yuan
35W–56L career · type A · 8 lines in 2024
7%91%2%
3.21
Emma Lee
37W–49L career · 1 line in 2024
<1%36%64%
3.05
Jackie Spicuzza
37W–56L career · 1 line in 2024
not enough data
Martin Lu
2W–13L career · 2 lines in 2024
not enough data
Ming Yang
15W–46L career · 3 lines in 2024
not enough data
Shirley Liu
18W–22L 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.