Teams

SGV Fenoms- Loevinger-Flint Canyon/SA 12

2022 Adult Division - 18 & Over San Gabriel Valley · SGV - Women 3.0

7 players · average NTRP 3.00 / SO.CALIFORNIA

View scouting list →
Schedule7 played
W#2 DoublesAlice Markowski / Laura Schmidt vs Mika Shenefelt / Roxanne Wu1-6, 6-3, 1-0
2022-06-04Won 10
W#2 SinglesAlice Markowski vs Sophie Chopra6-0, 6-0
W#2 SinglesAlice Markowski vs Wanda Shimazu3-6, 6-0, 1-0
L#1 SinglesAlice Markowski vs Cristina Padron0-6, 0-6
2022-05-07vs SGV Dare Doubles-Flores - WN/SU 10Lost 01
L#1 SinglesAlice Markowski vs Demmi Setyono1-6, 3-6
L#1 SinglesAlice Markowski vs Cindy Carpenter2-6, 3-6
L#3 DoublesAlice Markowski / Pauline Mauro vs Camille Farnsworth / Irene Zaragoza1-6, 3-6
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 3.0 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 2.79 estimated across 5 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.

2.92
Alice Markowski
usually #1 Singles 43%, also #2 Singles 29% · published 3
2.90
Katherine Loevinger
published
2.87
Sophia Chang
published
Christina Bang
published 3
Connie Becker
published 3
2.65
ANN GRAY
published 3
2.63
Pauline Mauro
published
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.

3
Alice Markowski
70W–69L career · 7 lines in 2022
<1%74%26%
2.92
Katherine Loevinger
2W–3L career · no lines in 2022
<1%78%22%
2.90
Sophia Chang
10W–14L career · no lines in 2022
<1%84%16%
2.87
3
Christina Bang
1W–1L career · type S · no lines in 2022
not enough data
3
Connie Becker
0W–2L career · type S · no lines in 2022
not enough data
3
ANN GRAY
0W–3L career · no lines in 2022
13%87%<1%
2.65
Pauline Mauro
7W–18L career · no lines in 2022
17%83%<1%
2.63

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.