Teams

GTC RED

2022 USTA MIXED 40 & OVER - DEN · MIXED 8.0 - 40 & OVER

12 players · average NTRP 4.00 / 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 →
Schedule6 played
2022-07-06vs GTC NAVYLost 12
W#1 DoublesNate Moeller / Lissa Moon vs Sean Essex / Cristina Denezza6-4, 7-5
L#2 DoublesMelanie Darden / Jose Amador vs Amy Chase / Josh Lozow4-6, 5-7
L#3 DoublesCatherine Corbett / Eric Mayer vs Brian Berglund / Tracy Brunschwig3-6, 1-6
2022-07-03vs GPTC BLUEWon 30
W#1 DoublesNate Moeller / Jennifer Thomas vs Antonio Vigil / Michelle Zelinger6-4, 6-2
W#2 DoublesMustafa Neemuchwala / Patricia Olson vs Christine Hong / Stanley Samuel6-3, 6-3
W#3 DoublesJohn Darden / Kay Roesch vs Bettina Wolpow / Christopher Seerveld6-4, 6-3
2022-06-29vs CM GREENLost 12
L#1 DoublesEric Mayer / Kay Roesch vs Clay Schneiter / Shannon Burke2-6, 6-4, 0-1
L#2 DoublesMustafa Neemuchwala / Melanie Darden vs Craig Stromberg / Kimberly van Deraa6-4, 3-6, 0-1
W#3 DoublesBryan Humphrys / Lissa Moon vs Eli Anderson / Susan Hennes7-5, 5-7, 1-0
2022-06-12vs EM REDWon 21
W#1 DoublesJose Amador / Melanie Darden vs Pia Lisle / Joe Mahoney7-6, 3-6, 1-0
W#2 DoublesCatherine Corbett / Eric Mayer vs Elizabeth Leonard / Beattie Leonard6-1, 6-7, 1-0
L#3 DoublesBryan Humphrys / Jennifer Thomas vs Joseph Burke / Stacy Roode1-6, 1-6
2022-05-29vs CACM REDLost 12
W#1 DoublesNate Moeller / Jennifer Thomas vs Hervey Pierre / Carmencita Lewis4-6, 6-2, 1-0
L#2 DoublesJohn Darden / Patricia Olson vs Daniel Chin / Barbara Chin2-6, 6-7
L#3 DoublesEric Mayer / Kay Roesch vs Ali Barghelame / Jena Dupont5-7, 6-4, 0-1
2022-05-22vs GAC REDWon 21
W#1 DoublesEric Mayer / Kay Roesch vs Monica Hustead / William Dampier5-7, 6-2, 1-0
W#2 DoublesMustafa Neemuchwala / Patricia Olson vs Jerry Maglio / Stacy Dent4-6, 6-2, 1-0
L#3 DoublesJohn Darden / Jennifer Thomas vs Russell Stewart / Joanie Fowler3-6, 4-6
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 standings8 teams · MIXED 8.0 - 40 & OVER
TeamWLInd. WInd. LSets lostGames lost
1SSLT BLUE5216512128
2RRTC ORANGE5212920183
3JCC NAVY4312919160
4GAC BLUE34111021167
5GTC RED34101127215
6MEA RED3491228221
7GTC GOLD3481328219
8RRTC RED1641737236

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 3.70 estimated across 8 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.

4.25
Jose Amador
usually #1 Doubles 71%, also #3 Doubles 14% · published 4.5
3.98
Mustafa Neemuchwala
usually #2 Doubles 60%, also #3 Doubles 40% · published
3.77
Lissa Moon
usually #3 Doubles 80%, also #1 Doubles 20% · published
Bryan Humphrys
usually #3 Doubles 100% · published 4
3.65
Jennifer Thomas
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.65
Kay Roesch
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.57
Catherine Corbett
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.41
Eric Mayer
usually #3 Doubles 40%, also #1 Doubles 40% · published 3.5
3.29
Patricia Olson
usually #2 Doubles 100% · published
John Darden
usually #3 Doubles 67%, also #2 Doubles 33% · published
Melanie Darden
usually #2 Doubles 67%, also #1 Doubles 33% · published
Nate Moeller
usually #1 Doubles 100% · 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.

Mustafa Neemuchwala + Lissa Moon10358% games+0.2% vs expected
Kay Roesch + Eric Mayer91055% games−3.3% vs expected
Catherine Corbett + Eric Mayer3447% games−11.0% vs expected
Nate Moeller + Lissa Moon8253% gamesnot enough data
Kay Roesch + John Darden3346% gamesnot enough data
Patricia Olson + John Darden2344% gamesnot enough data
Mustafa Neemuchwala + Melanie Darden224 matchesnot enough data
Eric Mayer + Patricia Olson303 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.

4.5
Jose Amador
315W–162L career · 7 lines in 2022
3%95%3%
4.25
Mustafa Neemuchwala
60W–54L career · 5 lines in 2022
<1%56%44%
3.98
Lissa Moon
109W–61L career · 5 lines in 2022
2%94%4%
3.77
4
Bryan Humphrys
5W–29L career · 2 lines in 2022
not enough data
4
Jennifer Thomas
57W–44L career · 4 lines in 2022
12%88%<1%
3.65
4
Kay Roesch
102W–77L career · 4 lines in 2022
12%88%<1%
3.65
4
Catherine Corbett
59W–31L career · 4 lines in 2022
30%70%<1%
3.57
3.5
Eric Mayer
68W–61L career · 5 lines in 2022
<1%75%25%
3.41
Patricia Olson
56W–55L career · 3 lines in 2022
1%94%5%
3.29
John Darden
13W–33L career · 3 lines in 2022
not enough data
Melanie Darden
43W–45L career · 3 lines in 2022
not enough data
Nate Moeller
29W–15L 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.