Teams

SGV Everything Hurts-Carter-FC-SU2

2022 Tri-Level League - San Gabriel Valley · SGV - Women 3.5

15 players · average NTRP 3.95 / SO.CALIFORNIA

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Schedule10 played
2022-10-02vs LLW SGV Wild Cards-Tang-WN Su10Lost 01
L#1 DoublesLorna Kim / Melissa Mazin vs Yuri Nichelson / Judy Su6-3, 1-6, 0-1
2022-09-24Won 10
W#1 DoublesLorna Kim / Cindi Carter vs N/A6-0, 6-0
L#1 DoublesMelissa Mazin / Penapa Frick vs Suzanne Cumbo / Chiaki Ishihara2-6, 6-7
2022-09-11vs LLW SGV Wild Cards-Tang-WN Su10Lost 01
L#1 DoublesLily Wu / Melissa Mazin vs Tai Sisson / CHIKA TAYLOR2-6, 1-6
L#3 DoublesOlivia Olivares / Feiming Morgan vs Teri McClure / CARA Yokomizo5-7, 1-6
2022-08-28Won 10
W#1 DoublesCatherine Areklett / Melissa Mazin vs Amy Liang / Ying Li6-2, 6-0
2022-08-20vs SGV Mo Better Tri-DeRosa-WN-SA10Lost 01
L#1 DoublesLorna Kim / Cindi Carter vs Jennifer Avila / Monique Lind0-6, 6-7
2022-07-24vs SGV Dare Doubles-Wang-WN-SU8Lost 01
L#1 DoublesLorna Kim / Debbie Sierra vs Amy Liang / Diana Laguna1-6, 3-6
2022-07-17vs SGV Mo Better Tri-DeRosa-WN-SA10Lost 01
L#1 DoublesLorna Kim / Lily Wu vs Aubrie Weissbuch / Karen Vidal0-6, 6-2, 0-1
L#1 DoublesDebbie Sierra / Lorna Kim vs Linda Park / Wenli Chen0-6, 6-7
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 SGV - 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 3.70 estimated across 13 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.

4.27
Catherine Areklett
usually #1 Doubles 100% · published 4.5
Cheryl Park
published 4.5
4.03
Irina Abadzheva
usually #3 Doubles 40%, also #1 Doubles 30% · published 4
3.97
Lily Wu
published
3.85
Debbie Sierra
usually #1 Doubles 100% · published 4
3.79
Tess de Los Reyes
published
3.77
Penapa Frick
published
3.74
Melissa Mazin
usually #1 Doubles 100% · published 4
3.70
Lorna Kim
usually #1 Doubles 100% · published 4
3.69
Cindi Carter
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.49
Kristin McQueen
usually #2 Doubles 60%, also #1 Doubles 40% · published 4
3.34
Feiming Morgan
published 3.5
3.26
Antoinette Lessuk
usually #3 Doubles 53%, also #2 Doubles 47% · published 3.5
3.22
Carla Denker
usually #2 Doubles 58%, also #3 Doubles 42% · published 3.5
Olivia Olivares
usually #3 Doubles 100% · 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.

Antoinette Lessuk + Carla Denker211457% games+8.7% vs expected
Irina Abadzheva + Cindi Carter9457% games+7.0% vs expected
Melissa Mazin + Penapa Frick4255% games+4.2% vs expected
Kristin McQueen + Irina Abadzheva13856% games+3.7% vs expected
Debbie Sierra + Cindi Carter3647% games+0.4% vs expected
Lorna Kim + Debbie Sierra41044% games+0.4% vs expected
Melissa Mazin + Irina Abadzheva8360% games−0.7% vs expected
Lorna Kim + Kristin McQueen141252% games−2.8% vs expected
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.

4.5
Catherine Areklett
18W–4L career · type S · 1 line in 2022
2%94%4%
4.27
4.5
Cheryl Park
1W–0L career · no lines in 2022
not enough data
4
Irina Abadzheva
234W–146L career · 10 lines in 2022
<1%40%60%
4.03
Lily Wu
3W–7L career · no lines in 2022
58%42%<1%
3.97
4
Debbie Sierra
34W–45L career · type A · 2 lines in 2022
<1%88%12%
3.85
Tess de Los Reyes
7W–3L career · no lines in 2022
1%93%5%
3.79
Penapa Frick
12W–10L career · no lines in 2022
2%94%4%
3.77
4
Melissa Mazin
52W–64L career · 4 lines in 2022
3%95%2%
3.74
4
Lorna Kim
210W–162L career · 6 lines in 2022
6%93%1%
3.70
4
Cindi Carter
150W–114L career · 8 lines in 2022
7%92%1%
3.69
4
Kristin McQueen
208W–189L career · 5 lines in 2022
53%47%<1%
3.49
3.5
Feiming Morgan
6W–13L career · no lines in 2022
<1%88%11%
3.34
3.5
Antoinette Lessuk
164W–156L career · 17 lines in 2022
2%94%3%
3.26
3.5
Carla Denker
158W–132L career · 12 lines in 2022
4%94%2%
3.22
Olivia Olivares
56W–55L career · 1 line in 2022
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.