Teams

BC-MCC/TonyRojko

2022 MIXED 40 & OVER · BC - Mixed 40 & Over - 8.0

24 players · average NTRP 3.86 / 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 →
Schedule9 played
2022-08-06vs BC-WestEnd/StephanieMarraWon 10
W#2 DoublesLauren Bruksch / Jeffrey Alder vs Yumi Yamamoto / Kaare Wagner6-3, 6-2
2022-07-30vs BC-WestEnd/KarenChanLost 01
L#2 DoublesFrances Hong / Marc Goedemans vs Koichi Ishihara / Pamela Milroy3-6, 6-3, 0-1
2022-07-23Lost 01
L#1 DoublesLayla Kiffin / Marc Goedemans vs Hong Zhang / Patrick Yang6-7, 4-6
2022-07-16vs BC-ElSegundo/TakTakedaSplit 11
L#1 DoublesRobert Conte / Kris Rone vs GO MURAYAMA / Junko Kuroda1-6, 4-6
W#3 DoublesRick Rumpp / Mariel VandenHengel vs Harry Kushigemachi / Juli Vadney6-1, 6-3
2022-07-02vs BC-WestEnd/StephanieMarraWon 20
W#1 DoublesLauren Bruksch / Paul Reiner vs Robin Freni / Kangsung Yip7-6, 6-4
W#3 DoublesJeffrey Alder / Kristen Finn vs Roger Kodani / Marlowe Sutton6-3, 6-3
2022-06-25vs BC-WestEnd/KarenChanSplit 11
W#1 DoublesJohn Shure / Mariel VandenHengel vs Alex Blagojevich / Pamela Milroy1-6, 6-4, 1-0
L#2 DoublesRick Rumpp / Frances Hong vs Juan Tueros / Karen Chan3-6, 3-6
2022-06-18Lost 01
L#1 DoublesDylan Tinker / Mariel VandenHengel vs Edwin Ng / Lea Yasunaga2-6, 6-7
2022-06-11vs BC-ElSegundo/TakTakedaLost 01
L#1 DoublesKris Rone / John Shure vs SHINICHI MINE / Junko Kuroda4-6, 3-6
2022-06-04vs BC-WestEnd/KarenChanLost 01
L#1 DoublesJeffrey Alder / MaryAnn Burns vs Drew Isley / Evelyn Yanke1-6, 5-7
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 40 & 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 3.66 estimated across 18 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.

4.26
David Chang
published 4
3.89
Kristina Schrader
published
3.80
Stephanie Twombley
published
3.79
Tony Rojko
published
Jeffrey Alder
usually #1 Doubles 33%, also #3 Doubles 33% · published 4
3.72
Mariel VandenHengel
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.69
Kristen Finn
published
3.69
Lauren Bruksch
published
3.65
Kris Rone
usually #1 Doubles 100% · published 4
3.65
Frances Hong
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
3.64
Paul Reiner
usually #1 Doubles 100% · published
3.64
Dean DeVore
published 4
3.63
Marc Goedemans
usually #1 Doubles 60%, also #3 Doubles 20% · published
3.61
John Shure
usually #1 Doubles 100% · published
3.60
Layla Kiffin
published
3.51
Rick Rumpp
published
3.50
Kristina Mohr
published
3.35
Jill Halkias
published
3.30
Annie Han
published 3.5
ASHLEY FULTON
published 3.5
MaryAnn Burns
published
Robert Conte
published
Stephen Testa
published
Tina Wu
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.

Kris Rone + John Shure3247% gamesnot enough data
Frances Hong + Marc Goedemans2353% gamesnot enough data
John Shure + Mariel VandenHengel123 matchesnot enough data
Tina Wu + David Chang123 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.

4
David Chang
2W–4L career · no lines in 2022
<1%2%98%
4.26
Kristina Schrader
3W–2L career · no lines in 2022
<1%80%19%
3.89
Stephanie Twombley
24W–15L career · no lines in 2022
1%93%6%
3.80
Tony Rojko
0W–9L career · no lines in 2022
95%5%<1%
3.79
4
Jeffrey Alder
28W–17L career · 3 lines in 2022
not enough data
Mariel VandenHengel
31W–31L career · 3 lines in 2022
4%94%2%
3.72
Kristen Finn
5W–1L career · no lines in 2022
7%92%1%
3.69
Lauren Bruksch
2W–10L career · no lines in 2022
7%92%1%
3.69
4
Kris Rone
71W–60L career · 2 lines in 2022
13%87%<1%
3.65
4
Frances Hong
74W–93L career · 4 lines in 2022
13%86%<1%
3.65
Paul Reiner
93W–90L career · 1 line in 2022
14%85%<1%
3.64
4
Dean DeVore
0W–10L career · no lines in 2022
15%85%<1%
3.64
Marc Goedemans
29W–43L career · 5 lines in 2022
15%85%<1%
3.63
John Shure
101W–64L career · 2 lines in 2022
20%80%<1%
3.61
Layla Kiffin
5W–8L career · no lines in 2022
22%78%<1%
3.60
Rick Rumpp
2W–13L career · no lines in 2022
46%54%<1%
3.51
Kristina Mohr
0W–5L career · no lines in 2022
48%52%<1%
3.50
Jill Halkias
0W–3L career · no lines in 2022
87%13%<1%
3.35
3.5
Annie Han
6W–9L career · no lines in 2022
1%93%6%
3.30
3.5
ASHLEY FULTON
11W–11L career · no lines in 2022
not enough data
MaryAnn Burns
0W–1L career · no lines in 2022
not enough data
Robert Conte
22W–8L career · no lines in 2022
not enough data
Stephen Testa
1W–0L career · no lines in 2022
not enough data
Tina Wu
1W–2L 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.