Teams

BC-AltaVista/TeresaCampbell

2021 MIXED 55 & Over - Beach Cities LOCAL LEAGUE · BC - Mixed 55 & Over - 8.0

9 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 →
Schedule6 played
2021-12-12vs BC-AltaVista/MauriceKoganLost 01
L#1 DoublesHeidi Grimm / Steven Kigawa vs Robert Rudelius / Donna Leventhal6-2, 1-6, 1-0
2021-11-21vs BC-Lakewood/KenYipWon 20
W#2 DoublesPamela Milroy / Juan Tueros vs Rosita Banuelos / Eric Campos6-2, 6-4
W#3 DoublesHeidi Grimm / Steven Kigawa vs Karen Beard / Mark Mihalco6-3, 6-1
2021-11-14vs BC-AltaVista/MauriceKoganWon 20
W#1 DoublesArthur Wong / Tess Pugliese vs Larry Shapiro / Alison Latiolait4-6, 6-4, 1-0
W#2 DoublesSteven Kigawa / Heidi Grimm vs Lawrence Mortorff / Randi Young6-1, 6-3
2021-10-31vs BC-Lakewood/KenYipWon 10
W#2 DoublesArthur Wong / Tess Pugliese vs Melvin Navarro / Karen Beard3-6, 7-6, 1-0
2021-10-24vs BC-AltaVista/MauriceKoganWon 10
W#2 DoublesJuan Tueros / Pamela Milroy vs Ali Habib / Suzy Nyhus6-1, 6-2
2021-09-04vs BC-Lakewood/KenYipWon 10
W#2 DoublesJuan Tueros / Pamela Milroy vs Mark Mihalco / Celia Dominguez6-3, 6-0
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 BC - Mixed 55 & Over - 8.0 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 3.50 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.

4.03
Juan Tueros
usually #2 Doubles 100% · published 4.5
3.90
Pamela Milroy
usually #2 Doubles 100% · published 4
3.73
Teresa Campbell
published
Heidi Grimm
published 3.5
3.16
Frank Carlos
published 3.5
2.69
Diane Pryzbylo
published 3
Nicholas Douglas
published
Steven Kigawa
usually #2 Doubles 33%, also #3 Doubles 33% · published
Tess Pugliese
usually #2 Doubles 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.

Juan Tueros + Pamela Milroy6756% gamesnot enough data
Steven Kigawa + Tess Pugliese5159% 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.

4.5
Juan Tueros
66W–70L career · 3 lines in 2021
42%58%<1%
4.03
4
Pamela Milroy
112W–68L career · 3 lines in 2021
<1%77%23%
3.90
Teresa Campbell
6W–8L career · no lines in 2021
4%94%2%
3.73
3.5
Heidi Grimm
1W–1L career · no lines in 2021
not enough data
3.5
Frank Carlos
12W–10L career · no lines in 2021
11%89%<1%
3.16
3
Diane Pryzbylo
3W–4L career · no lines in 2021
8%92%1%
2.69
Nicholas Douglas
0W–2L career · no lines in 2021
not enough data
Steven Kigawa
76W–50L career · 3 lines in 2021
not enough data
Tess Pugliese
46W–37L career · 2 lines in 2021
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.