Teams

BVP RED

2023 USTA MIXED 40 & OVER - DEN · MIXED 9.0 - 40 & OVER

13 players · average NTRP 4.28 / 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
2023-07-09vs JCC REDLost 12
W#1 DoublesMegan Melucci / Bryan Pivovar vs Adam Koszowski / Michelle Topf7-5, 6-2
L#2 DoublesArmando Escalante / Mary Nelson vs Adam Gilden / Julie Lang3-5
L#3 DoublesDorothy Monroe / Tomas Mendez vs Oliver McKinstry / Irina Suyumova0-6, 6-4, 0-1
2023-06-25vs GTC REDLost 03
L#1 DoublesMeng Lian / Megan Melucci vs Rachel Heise / JD Ready7-5, 3-6, 1-0
L#2 DoublesPhilip Dixon-Patterson / Michelle Campbell vs KC Nettleton / Craig Stromberg1-6, 3-6
L#3 DoublesTomas Mendez / Mary Nelson vs W Hancock / Michelle Degitis2-6, 4-6
2023-06-23vs GTC GOLDLost 01
L#1 DoublesMeng Lian / Amber McGregor vs Lissa Moon / Bryan Nykerk5-7, 4-6
2023-06-11vs LTA-Q REDLost 02
L#1 DoublesTomas Mendez / Bobbie Lutz vs Brandon Kuhl / Rachael Sparks2-6, 2-6
L#2 DoublesPhilip Dixon-Patterson / Mary Nelson vs Keaton Howe / Kristeen Dehning3-6, 6-7
2023-05-28vs JCC REDLost 03
L#1 DoublesPhilip Dixon-Patterson / Deborah Freischlag vs Jeff Crosley / Julie Lang6-7, 2-6
L#2 DoublesMeng Lian / Amber McGregor vs Oliver McKinstry / Michelle Topf6-7, 6-3, 0-1
L#3 DoublesArmando Escalante / Mary Nelson vs Adam Gilden / Susan Conway7-6, 5-7, 1-0
2023-05-22vs GTC REDWon 21
W#1 DoublesDeborah Freischlag / W Peter Freischlag vs Michelle Degitis / Craig Stromberg6-4, 3-6, 1-0
L#2 DoublesTomas Mendez / Mary Nelson vs Paul Barrow / Tonya Laden4-6, 3-6
W#3 DoublesDorothy Monroe / Meng Lian vs Rachael Costain / Marc Costain6-3, 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 standings7 teams · MIXED 9.0 - 40 & OVER
TeamWLInd. WInd. LSets lostGames lost
1GTC GOLD6116516163
2SS-H ORANGE5112617148
3LTA-Q RED5216514142
4JCC RED5213818153
5RRTC BLUE3310820167
6GTC RED2571430199
7BVP RED0712040245

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 3.85 estimated across 11 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.

4.27
Meng Lian
usually #2 Doubles 50%, also #3 Doubles 25% · published 4.5
4.25
Megan Melucci
usually #1 Doubles 100% · published 4.5
4.19
Bryan Pivovar
usually #1 Doubles 100% · published 4.5
4.17
Amber McGregor
usually #2 Doubles 50%, also #1 Doubles 33% · published 4.5
4.08
Philip Dixon-Patterson
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
3.86
Armando Escalante
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
3.73
Michelle Campbell
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.67
Bobbie Lutz
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.67
Mary Nelson
usually #3 Doubles 43%, also #2 Doubles 43% · published
3.52
Dorothy Monroe
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
2.94
Deborah Freischlag
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
Tomas Mendez
usually #2 Doubles 43%, also #1 Doubles 29% · published
W Peter Freischlag
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.

Amber McGregor + Meng Lian2647% games−1.1% vs expected
Philip Dixon-Patterson + Dorothy Monroe1443% games−3.0% vs expected
Bobbie Lutz + Tomas Mendez0535% gamesnot enough data
Meng Lian + Dorothy Monroe224 matchesnot enough data
Bobbie Lutz + Philip Dixon-Patterson044 matchesnot enough data
Bryan Pivovar + Mary Nelson314 matchesnot enough data
Meng Lian + Megan Melucci123 matchesnot enough data
Michelle Campbell + Philip Dixon-Patterson033 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
Meng Lian
102W–63L career · 8 lines in 2023
2%94%4%
4.27
4.5
Megan Melucci
106W–74L career · 2 lines in 2023
3%95%3%
4.25
4.5
Bryan Pivovar
85W–75L career · 6 lines in 2023
7%92%1%
4.19
4.5
Amber McGregor
52W–63L career · 6 lines in 2023
9%90%1%
4.17
4.5
Philip Dixon-Patterson
62W–81L career · 3 lines in 2023
28%72%<1%
4.08
4.5
Armando Escalante
14W–54L career · 2 lines in 2023
86%14%<1%
3.86
Michelle Campbell
64W–89L career · 3 lines in 2023
4%94%2%
3.73
4
Bobbie Lutz
109W–67L career · 4 lines in 2023
9%90%1%
3.67
Mary Nelson
51W–49L career · 7 lines in 2023
10%90%1%
3.67
4
Dorothy Monroe
59W–60L career · 3 lines in 2023
45%55%<1%
3.52
3.5
Deborah Freischlag
34W–68L career · 4 lines in 2023
66%34%<1%
2.94
Tomas Mendez
23W–37L career · 7 lines in 2023
not enough data
W Peter Freischlag
4W–14L career · 1 line in 2023
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.