Teams

SGV All the single Ladies-Chen-Freemont Park/SA3

2023 Team Singles FALL-18&over-San Gabriel Valley · SGV - Women 4.5

8 players · average NTRP 4.67 / SO.CALIFORNIA

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 →
Schedule7 played
W#1 SinglesLeticia Alcala vs Karen Kuchan6-0, 7-5
W#3 SinglesApril Hartstein vs Leslie Croyder6-4, 2-6, 1-0
W#1 SinglesApril Hartstein vs Jennifer Cotone Gossett6-4, 6-0
L#1 SinglesLeticia Alcala vs Vijaypriya Ganesan1-6, 6-7
L#3 SinglesMandi Collier vs Leslie Croyder4-6, 2-6
W#1 SinglesLauren DiFazio vs Jennifer Cotone Gossett4-6, 6-4, 1-0
L#1 SinglesLeticia Alcala vs Erin Acera0-6, 3-6
W#3 SinglesMandi Collier vs Leslie Croyder6-3, 7-5
L#2 SinglesMandi Collier vs Susan Miller4-6, 7-6, 1-0
W#3 SinglesBrynna Pietz vs Jennifer Cotone Gossett2-6, 4-3
2023-10-07Won 10
W#2 SinglesLauren DiFazio vs Vijaypriya Ganesan2-6, 6-1, 1-0
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 4.5 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 4.35 estimated across 8 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.

4.70
Mandi Collier
usually #3 Singles 67%, also #2 Singles 33% · published 5
4.62
Leticia Alcala
usually #1 Singles 100% · published 5
4.53
Lauren DiFazio
usually #2 Singles 50%, also #1 Singles 50% · published
4.42
Cindy Shin
published 4.5
4.30
April Hartstein
usually #1 Singles 50%, also #3 Singles 50% · published 4.5
4.23
Christine Chen
published 4.5
4.22
Brynna Pietz
usually #3 Singles 100% · published 4.5
3.82
Judy Su
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.

April Hartstein + Leticia Alcala6459% games+3.8% vs expected
Brynna Pietz + Lauren DiFazio10071% gamesnot enough data
April Hartstein + Mandi Collier7165% gamesnot enough data
Leticia Alcala + Mandi Collier3352% 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.

5
Mandi Collier
188W–89L career · 3 lines in 2023
6%93%1%
4.70
5
Leticia Alcala
160W–102L career · 3 lines in 2023
19%81%<1%
4.62
Lauren DiFazio
122W–58L career · 2 lines in 2023
42%58%<1%
4.53
4.5
Cindy Shin
11W–8L career · no lines in 2023
<1%73%27%
4.42
4.5
April Hartstein
227W–139L career · 2 lines in 2023
1%93%6%
4.30
4.5
Christine Chen
12W–12L career · no lines in 2023
4%94%2%
4.23
4.5
Brynna Pietz
89W–60L career · 1 line in 2023
5%94%2%
4.22
Judy Su
11W–7L career · no lines in 2023
1%91%8%
3.82

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.