Teams

SDNC 4.0 Tri RBCTC/ Nelson

2022 SCTA Tri-Level Doubles Summer- SDNC · SDNC Women (4.0

11 players · average NTRP 3.62 / SAN DIEGO

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 →
Schedule8 played
2022-08-29Won 10
W#3 DoublesJoyce Reading / Suzy Liu vs Pamela MacDonald / Lori Sandstrom6-2, 6-3
L#3 DoublesEileen Gonzalez / Tammy Lloyd vs Kelly Campbell / Sarah Fontana6-1, 4-6, 0-1
W#3 DoublesTammy Lloyd / Suzy Liu vs Andrea Van Soest / Michelle Roe6-1, 6-2
W#3 DoublesSuzy Liu / Joyce Reading vs Nahomi Kato / Kelly Walecki4-6, 6-2, 1-0
L#2 DoublesChristi McClain / Rebecca Baguio vs Casey Luckham / Katie Butler3-6, 3-6
W#3 DoublesEileen Gonzalez / Tammy Lloyd vs Jessica Burden / Jane Doe2-6, 6-4, 1-0
2022-07-25vs SDNC 4.0 Tri El Camino CC/ GraberWon 10
W#3 DoublesTammy Lloyd / Suzy Liu vs Kerry Lutzker / Kim Friedrichsen6-2, 6-0
W#3 DoublesEileen Gonzalez / Tammy Lloyd vs Rebecca Christensen / Michelle Roe6-1, 6-2
2022-07-11vs SDNC 4.0 Tri Brengle Terrace/ CadizSplit 11
L#2 DoublesChristi McClain / Judy Nelson vs Mercedes Cadiz / Diane Silberman2-6, 3-6
W#3 DoublesSuzy Liu / Joyce Reading vs Liz Difuntorum / Nahomi Kato6-2, 6-2
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 SDNC Women (4.0 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 3.35 estimated across 10 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.

Jamie Neppl
published 4
3.70
Rindy Barnes
published
3.69
TERESA FISHER
published
3.64
Christi McClain
usually #3 Doubles 60%, also #2 Doubles 40% · published 4
3.63
Connie Balen
published 4
3.60
Joan Rogers
published
3.28
Tammy Lloyd
usually #3 Doubles 100% · published 3.5
3.13
Heidi Dalvie
published 3.5
3.12
Suzy Liu
usually #3 Doubles 100% · published 3.5
3.03
Joyce Reading
published 3.5
2.73
Eileen Gonzalez
published 3
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
Jamie Neppl
1W–1L career · no lines in 2022
not enough data
Rindy Barnes
5W–7L career · no lines in 2022
6%93%1%
3.70
TERESA FISHER
7W–8L career · no lines in 2022
8%92%1%
3.69
4
Christi McClain
111W–48L career · 5 lines in 2022
15%85%<1%
3.64
4
Connie Balen
2W–6L career · no lines in 2022
16%83%<1%
3.63
Joan Rogers
4W–2L career · no lines in 2022
21%79%<1%
3.60
3.5
Tammy Lloyd
65W–30L career · 5 lines in 2022
2%94%5%
3.28
3.5
Heidi Dalvie
1W–3L career · no lines in 2022
16%84%<1%
3.13
3.5
Suzy Liu
47W–50L career · 5 lines in 2022
17%82%<1%
3.12
3.5
Joyce Reading
51W–29L career · no lines in 2022
40%60%<1%
3.03
3
Eileen Gonzalez
1W–2L career · no lines in 2022
4%94%2%
2.73

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.