Teams

SD LLW 3.5 Coronado TC/ Nichols

2023 Adult 18 & Over Spring - SD · SD - Women - 3.5

11 players · average NTRP 3.62 / SAN DIEGO

View scouting list →
Schedule5 played
2023-05-23vs SD 3.5 Mtn View (3:2)/ PadillaWon 10
W#2 DoublesDiana Elia / Kelli Marovish vs Mer Chiodo / Ruby Gardner6-3, 6-3
2023-05-09vs SD 3.5 SDTRC (2:3)/ MonzonLost 01
L#2 DoublesKelli Marovish / Kathy Nichols vs Krista Losito / Mary Garvey3-6, 1-6
L#3 DoublesConnie Danielson / Diana Elia vs Ciara Levine / ALEXIS MCCANDLESS5-7, 2-6
2023-04-25vs SD 3.5 Mtn View (3:2)/ MorganWon 10
W#3 DoublesConnie Danielson / Kelli Marovish vs Kathie Angione / Hikari Blancarte6-1, 6-0
2023-04-18vs SD 3.5 SDTRC (3:2)/ PeinadoSplit 11
W#2 DoublesKelli Marovish / Kathy Nichols vs Tracy Skaddan / Paula Colarusso6-1, 6-1
L#3 DoublesSamantha Nelson / Diana Elia vs Nancy Peinado / Avelina Kauffman3-6, 6-3, 0-1
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 SD - Women - 3.5 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 3.29 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.

3.87
Katerina Hart
published 4
3.62
Sarah Kimball
published
3.61
Yvonne Hwang
published
3.39
Kelli Marovish
usually #2 Doubles 50%, also #3 Doubles 38% · published 3.5
3.38
Megan West
published
3.25
Hayley Connors
published
3.25
Diana Elia
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.20
Connie Kocherga
published 3.5
3.08
Ruth York
published
2.94
Samantha Nelson
published
2.64
Michelle Gilmore
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.

Diana Elia + Kelli Marovish27859% games+3.2% vs expected
Kelli Marovish + Megan West134 matchesnot enough data
Diana Elia + Connie Kocherga033 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
Katerina Hart
73W–58L career · no lines in 2023
<1%82%18%
3.87
Sarah Kimball
5W–3L career · no lines in 2023
20%80%<1%
3.62
Yvonne Hwang
6W–10L career · no lines in 2023
22%77%<1%
3.61
3.5
Kelli Marovish
96W–74L career · 8 lines in 2023
<1%78%22%
3.39
Megan West
12W–19L career · no lines in 2023
<1%80%20%
3.38
Hayley Connors
6W–5L career · no lines in 2023
3%93%4%
3.25
3.5
Diana Elia
58W–53L career · 3 lines in 2023
4%93%3%
3.25
3.5
Connie Kocherga
2W–7L career · no lines in 2023
7%91%2%
3.20
Ruth York
2W–3L career · no lines in 2023
28%72%<1%
3.08
Samantha Nelson
1W–3L career · no lines in 2023
66%34%<1%
2.94
Michelle Gilmore
1W–3L career · no lines in 2023
16%84%1%
2.64

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.