Teams

BC-WestEnd/ForrestBleakley

2022 Adult 40 & Over - Beach Cities · BC Women - 4.0

15 players · average NTRP 3.93 / 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 BC Women - 4.0 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 3.65 estimated across 14 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.

4.05
Jennie Speciale
published
3.92
Tami Reyes
usually #1 Singles 50%, also #1 Doubles 25% · published
3.90
Pamela Milroy
usually #1 Singles 60%, also #1 Doubles 40% · published 4
3.82
JULIE MOORE
usually #1 Doubles 50%, also #1 Singles 50% · published 4
3.76
Denise Vega
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.69
Christeen Field
usually #1 Doubles 100% · published 4
3.66
Terumi Barrett
usually #2 Doubles 100% · published
3.64
Sungsoon Han
published
3.63
Yumi Yamamoto
published
3.62
Sayaka Amano
usually #1 Singles 50%, also #2 Doubles 50% · published
3.60
3.46
Rebecca Chavira
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.30
Kay C Johnson
published
3.04
Mary Kay Dyes
usually #2 Doubles 50%, also #1 Singles 50% · published 3.5
Tess Pugliese
usually #1 Singles 50%, also #1 Doubles 50% · 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.

Terumi Barrett + Sayaka Amano10952% games−5.8% vs expected
Denise Vega + Christeen Field71052% gamesnot enough data
Pamela Milroy + JULIE MOORE4452% gamesnot enough data
Denise Vega + Pamela Milroy3353% gamesnot enough data
Rebecca Chavira + Mary Kay Dyes1442% gamesnot enough data
JULIE MOORE + Christeen Field4163% gamesnot enough data
Rebecca Chavira + Denise Vega134 matchesnot enough data
Denise Vega + Yumi Yamamoto404 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.

Jennie Speciale
3W–13L career · no lines in 2022
36%64%<1%
4.05
Tami Reyes
231W–92L career · 4 lines in 2022
72%28%<1%
3.92
4
Pamela Milroy
112W–68L career · 5 lines in 2022
<1%77%23%
3.90
4
JULIE MOORE
97W–63L career · 2 lines in 2022
1%91%8%
3.82
4
Denise Vega
52W–52L career · 5 lines in 2022
2%95%3%
3.76
4
Christeen Field
95W–83L career · 5 lines in 2022
7%92%1%
3.69
Terumi Barrett
92W–61L career · 2 lines in 2022
11%89%<1%
3.66
Sungsoon Han
3W–3L career · no lines in 2022
14%86%<1%
3.64
Yumi Yamamoto
4W–3L career · no lines in 2022
15%85%<1%
3.63
Sayaka Amano
43W–32L career · 2 lines in 2022
18%82%<1%
3.62
4
Charmaine Nielsen
4W–6L career · no lines in 2022
23%77%<1%
3.60
4
Rebecca Chavira
99W–92L career · 3 lines in 2022
62%38%<1%
3.46
Kay C Johnson
11W–10L career · no lines in 2022
1%93%6%
3.30
3.5
Mary Kay Dyes
39W–114L career · 2 lines in 2022
37%63%<1%
3.04
Tess Pugliese
46W–37L career · 4 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.