Teams

Dragonball

2022 Montgomery Mixed 40 & Over Spring · Montgomery Mixed 40 & Over 8.0

9 players · average NTRP 3.83 / MARYLAND

View scouting list →
Schedule10 played
2022-07-26vs RubinoWon 10
W#2 DoublesRobert Baily / Jeanne Baily vs Scott Miller / Wendy Guo6-3, 6-4
2022-07-24vs Great SetsLost 01
L#1 DoublesLarry Johnson / Carol Gover vs Thomas Leuba / Leah Noonan2-6, 5-7
2022-07-19vs Vissermix 40+Lost 01
L#3 DoublesJeanne Baily / Robert Baily vs Christine Bragale / Henry Forster2-6, 3-6
2022-07-13vs MoCady 8.0 40+Lost 01
L#2 DoublesJeanne Baily / Robert Baily vs Carol Besse / Edison Penafiel1-6, 4-6
2022-07-10vs RubinoLost 01
L#2 DoublesLarry Johnson / Carol Gover vs Scott Miller / Wendy Guo0-6, 2-6
2022-07-07vs Great SetsLost 01
L#2 DoublesLarry Johnson / Carol Gover vs Thomas Leuba / Kara Stevenson5-7, 1-6
2022-06-28vs Vissermix 40+Won 10
W#2 DoublesCarol Gover / Robert Baily vs Evelyn Chan / Henry Forster1-6, 6-0, 1-0
2022-06-18vs MoCady 8.0 40+Lost 01
L#2 DoublesLarry Johnson / Carol Gover vs Marketa Chromkova / Jose Miguel Sacin1-6, 3-6
2022-06-08vs RubinoLost 01
L#1 DoublesJeanne Baily / WILLIAM SCHILLERSTROM vs Shan Wang / Jorge Sirgo1-6, 1-6
2022-05-23vs Vissermix 40+Lost 02
L#1 DoublesJeanne Baily / Robert Baily vs Dao Phan-Vissering / Surendra Babu1-6, 6-2, 1-0
L#2 DoublesCarol Gover / Larry Johnson vs Kristina Leary / Johnny Hsiung3-6, 2-6
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 standings for Montgomery 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 3.38 estimated across 7 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.

3.79
Robert Baily
usually #2 Doubles 60%, also #1 Doubles 20% · published 4
3.74
Jeanne Baily
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.50
Michelyn Boyd
published
3.31
Carol Gover
usually #2 Doubles 83%, also #1 Doubles 17% · published 3.5
3.27
Mesanie Lee
published
3.26
Yong Kim
published
2.81
Larry Johnson
published
Timothy Triplett
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.

Jeanne Baily + Robert Baily242551% games−0.1% vs expected
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
Robert Baily
90W–89L career · 5 lines in 2022
1%93%5%
3.79
4
Jeanne Baily
339W–236L career · 5 lines in 2022
3%94%2%
3.74
Michelyn Boyd
2W–11L career · no lines in 2022
51%49%<1%
3.50
3.5
Carol Gover
120W–213L career · 6 lines in 2022
1%92%7%
3.31
Mesanie Lee
26W–27L career · no lines in 2022
2%94%4%
3.27
Yong Kim
5W–19L career · no lines in 2022
97%3%<1%
3.26
Melissa Hayes-Gehrke
3W–8L career · no lines in 2022
93%7%<1%
2.81
Larry Johnson
24W–5L career · no lines in 2022
not enough data
Timothy Triplett
4W–6L 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.