Teams

HIW GREEN

2022 USTA MIXED 40 & OVER - DEN · MIXED 6.0 - 40 & OVER

15 players · average NTRP 3.25 / COLORADO

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 →
Schedule5 played
2022-07-03vs NJ NAVYLost 03
L#1 DoublesAmanda Fuller Wellman / Todd Wellman vs Rick Bonczynski / Debbie Lipski4-6, 4-6
L#2 DoublesEdward STEWART / Mary Tribby vs Carrie Poulsen / Bruce Robertson6-7, 4-6
L#3 DoublesShena Cothran / Brian Cothran vs Sue Curtin / Sean Mitchell0-6, 0-6
2022-06-19vs MC REDWon 21
W#1 DoublesAmanda Fuller Wellman / Todd Wellman vs David Atkinson / Annmarie Oien6-2, 6-0
W#2 DoublesWilliam Richmond / Shena Cothran vs Stephen Schulte / Tina Atchley6-4, 6-3
L#3 DoublesBrian Cothran / Angela Appleby vs John Hartney / Tanya Hartney2-6, 3-6
2022-06-17vs NJ NAVYLost 03
L#1 DoublesMary Tribby / Edward STEWART vs Rick Bonczynski / Angela Hale0-6, 3-6
L#2 DoublesAmanda Fuller Wellman / Todd Wellman vs Carrie Poulsen / Sean Mitchell2-6, 7-5, 0-1
L#3 DoublesAngela Appleby / William Richmond vs Bruce Robertson / Kathleen Harvey2-6, 5-7
2022-06-12vs RHCC REDLost 03
L#1 DoublesEdward STEWART / Mary Tribby vs Kari Eckert / Kip Cranford1-6, 4-6
L#2 DoublesEmily Lenich / Paul Lenich vs Jessica Tsuo / Lee Tsuo2-6, 7-5, 0-1
L#3 DoublesWilliam Richmond / Ira Chang-Richmond vs Paul Rose / Carol Tye Rose2-6, 7-5, 0-1
2022-05-22vs PH REDLost 12
L#1 DoublesEdward STEWART / Mary Tribby vs Jessen Fahey / Jennifer Fahey3-6, 6-3, 0-1
W#2 DoublesTodd Wellman / Amanda Fuller Wellman vs Michael Main / Teri Markle6-2, 6-2
L#3 DoublesEmily Lenich / Paul Lenich vs John Edwards / Joyce Anderson2-6, 6-3, 1-0
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 standings7 teams · MIXED 6.0 - 40 & OVER
TeamWLInd. WInd. LSets lostGames lost
1BRMST GREEN5214716145
2BRMST GOLD4312922184
3LEBTC GOLD43111023164
4TTA GREEN3491226190
5SSHP GREEN2571430190
6HIW GREEN1431224154
7RMTC NAVY1651633206

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 2.96 estimated across 6 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.

3.64
Sue Speyer
published 4
Emily Lenich
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.24
Edward STEWART
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
2.91
Mary Tribby
usually #1 Doubles 75%, also #2 Doubles 25% · published 3
Amanda Fuller Wellman
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.74
Wendy Vance
published 3
2.71
Angela Appleby
usually #3 Doubles 100% · published 3
2.50
Ira Chang-Richmond
usually #3 Doubles 100% · published 3
Alex Speyer
published
Brian Cothran
usually #3 Doubles 100% · published
Paul Lenich
usually #3 Doubles 50%, also #2 Doubles 50% · published
SCOTT BOYLE
published
Shena Cothran
usually #2 Doubles 50%, also #3 Doubles 50% · published
Todd Wellman
usually #1 Doubles 50%, also #2 Doubles 50% · published
William Richmond
usually #3 Doubles 67%, also #2 Doubles 33% · 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.

Mary Tribby + Edward STEWART51743% games−9.3% vs expected
Amanda Fuller Wellman + Todd Wellman191160% gamesnot enough data
Emily Lenich + Paul Lenich21142% gamesnot enough data
Sue Speyer + Alex Speyer6657% gamesnot enough data
Shena Cothran + Brian Cothran01130% gamesnot enough data
Ira Chang-Richmond + William Richmond3845% gamesnot enough data
Amanda Fuller Wellman + SCOTT BOYLE6069% gamesnot enough data
Angela Appleby + SCOTT BOYLE1446% 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
Sue Speyer
79W–39L career · no lines in 2022
14%86%<1%
3.64
3.5
Emily Lenich
21W–20L career · 2 lines in 2022
not enough data
3.5
Edward STEWART
6W–17L career · type S · 4 lines in 2022
3%94%2%
3.24
3
Mary Tribby
95W–94L career · 4 lines in 2022
<1%75%25%
2.91
3
Amanda Fuller Wellman
52W–38L career · type M · 4 lines in 2022
not enough data
3
Wendy Vance
28W–26L career · no lines in 2022
3%94%2%
2.74
3
Angela Appleby
18W–29L career · 2 lines in 2022
6%93%1%
2.71
3
Ira Chang-Richmond
29W–62L career · type A · 1 line in 2022
50%50%<1%
2.50
Alex Speyer
6W–6L career · no lines in 2022
not enough data
Brian Cothran
0W–13L career · 2 lines in 2022
not enough data
Paul Lenich
3W–12L career · 2 lines in 2022
not enough data
SCOTT BOYLE
9W–6L career · no lines in 2022
not enough data
Shena Cothran
36W–25L career · 2 lines in 2022
not enough data
Todd Wellman
20W–12L career · 4 lines in 2022
not enough data
William Richmond
4W–11L career · 3 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.