Teams

SD 4.0 Coronado TC (Sun 2:30)/ Webster

2026 SoCal Fall Doubles WE- San Diego · SD Women 4.0 GNO

9 players · average NTRP 3.93 / 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 →

Flight standings for SD Women 4.0 GNO 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 3.65 estimated across 9 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.

3.84
Gladys Esponda
published 4
3.72
Jane Khouw
published
3.72
Kellie McMullen
published 4
3.67
Jill Webster
published
3.65
Esther Leeflang
published 4
3.64
Diana Kirkland
published 4
3.60
Wanda Jurlina
published 4
3.55
Sheryl Munning
published 4
3.43
Elsie Hammond
published 3.5
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.

Wanda Jurlina + Jill Webster3650% games+5.9% vs expected
Sheryl Munning + Gladys Esponda12556% games+5.1% vs expected
Wanda Jurlina + Kellie McMullen141548% games−0.4% vs expected
Jane Khouw + Jill Webster4354% games−1.4% vs expected
Sheryl Munning + Esther Leeflang4643% games−8.6% vs expected
Wanda Jurlina + Sheryl Munning7656% gamesnot enough data
Sheryl Munning + Kellie McMullen4449% gamesnot enough data
Wanda Jurlina + Gladys Esponda2448% 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
Gladys Esponda
156W–89L career · no lines in 2026
1%87%13%
3.84
Jane Khouw
16W–18L career · no lines in 2026
6%92%2%
3.72
4
Kellie McMullen
125W–80L career · no lines in 2026
6%92%2%
3.72
Jill Webster
15W–21L career · no lines in 2026
11%88%1%
3.67
4
Esther Leeflang
74W–78L career · no lines in 2026
15%84%1%
3.65
4
Diana Kirkland
47W–102L career · no lines in 2026
16%84%1%
3.64
4
Wanda Jurlina
69W–74L career · no lines in 2026
24%75%<1%
3.60
4
Sheryl Munning
40W–53L career · no lines in 2026
35%65%<1%
3.55
3.5
Elsie Hammond
66W–161L career · no lines in 2026
<1%69%31%
3.43

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.