Teams

SGV Return of Court Assassins-Birmingham-Scholl/SU2

2023 Mixed Doubles - 40 & Over San Gabriel Valley · SGV - 9.0 Mixed Division

14 players · average NTRP 4.50 / 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 →

Flight standings for SGV - 9.0 Mixed Division 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 4.15 estimated across 12 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.

4.73
Jennifer Cotone Gossett
usually #2 Doubles 50%, also #3 Doubles 50% · published 5
4.62
Leticia Alcala
usually #2 Doubles 67%, also #3 Doubles 33% · published 5
4.44
Yuri Nichelson
usually #3 Doubles 100% · published 4.5
4.30
April Hartstein
usually #1 Doubles 67%, also #3 Doubles 17% · published 4.5
4.29
Todd Nagler
usually #1 Doubles 100% · published 4.5
4.28
Carlo Bautista
published 4.5
4.24
Ivan Salazar
published 4.5
4.20
Michael Marley
published
4.15
Heidi Schuler
published 4.5
3.70
Lorna Kim
usually #2 Doubles 100% · published 4
3.52
Lai Chan
published
3.35
Ani Aratounians
usually #1 Doubles 100% · published 4
Nilton Neyra
published
Robert Birmingham
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.

Michael Marley + Yuri Nichelson123 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.

5
Jennifer Cotone Gossett
131W–67L career · 2 lines in 2023
4%94%2%
4.73
5
Leticia Alcala
160W–102L career · 3 lines in 2023
19%81%<1%
4.62
4.5
Yuri Nichelson
207W–73L career · 1 line in 2023
<1%67%33%
4.44
4.5
April Hartstein
227W–139L career · 6 lines in 2023
1%93%6%
4.30
4.5
Todd Nagler
71W–67L career · 1 line in 2023
1%94%5%
4.29
4.5
Carlo Bautista
7W–4L career · no lines in 2023
2%94%5%
4.28
4.5
Ivan Salazar
3W–3L career · no lines in 2023
3%95%2%
4.24
Michael Marley
11W–12L career · no lines in 2023
6%93%1%
4.20
4.5
Heidi Schuler
117W–78L career · no lines in 2023
12%87%<1%
4.15
4
Lorna Kim
210W–162L career · 1 line in 2023
6%93%1%
3.70
Lai Chan
2W–8L career · no lines in 2023
45%55%<1%
3.52
4
Ani Aratounians
73W–121L career · 2 lines in 2023
87%13%<1%
3.35
Nilton Neyra
4W–4L career · no lines in 2023
not enough data
Robert Birmingham
4W–4L career · no lines in 2023
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.