Teams

SGV Dark Horses - Lee- La Habra/SA11

2022 Mixed Tri Level -18 &Over-San Gabriel Valley · SGV - 3.0

12 players · average NTRP 3.70 / 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 →
Schedule3 played
2022-11-06Lost 01
L#3 DoublesRyan Ona / Barb Vetterick vs Veronica Cole / Colin Lee2-6, 3-6
W#3 DoublesRyan Ona / Grace Eleyae vs Sandy Mandel / David Mandel6-2, 6-2
2022-10-01Lost 01
L#3 DoublesThomas Medina / Grace Eleyae vs Suleman ALIDINA / Nohely Mejia0-6, 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 - 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 3.38 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.

4.17
Dalton Lee
published 4.5
4.13
Luis Prieto
published
Delong Cen
published 4
3.65
Grace Eleyae
usually #3 Doubles 100% · published 4
3.37
Keiko Jun
published
3.23
Thomas Medina
published
2.93
Joanne Yoshida
published
2.82
Ryan Ona
usually #3 Doubles 100% · published 3
2.72
Barb Vetterick
published 3
Laura Stover
published
Lauren Bee
published
Samuel Cardinal
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.

4.5
Dalton Lee
7W–6L career · no lines in 2022
10%89%1%
4.17
Luis Prieto
13W–8L career · no lines in 2022
15%85%<1%
4.13
4
Delong Cen
0W–4L career · no lines in 2022
not enough data
4
Grace Eleyae
126W–70L career · 2 lines in 2022
12%87%<1%
3.65
Keiko Jun
14W–11L career · no lines in 2022
<1%84%15%
3.37
Thomas Medina
9W–16L career · no lines in 2022
4%94%2%
3.23
Joanne Yoshida
2W–4L career · no lines in 2022
<1%70%30%
2.93
3
Ryan Ona
17W–43L career · type S · 2 lines in 2022
1%91%9%
2.82
3
Barb Vetterick
8W–11L career · no lines in 2022
5%94%2%
2.72
Laura Stover
1W–1L career · no lines in 2022
not enough data
Lauren Bee
4W–0L career · no lines in 2022
not enough data
Samuel Cardinal
1W–0L career · no lines 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.