Teams

Mixed Masters

2022 DC WTA Combo Mixed · DC WTA Combo Mixed 7.5

13 players · average NTRP 3.71 / WASHINGTON D.C.

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 →
Schedule3 played
2022-09-29vs Anderson & AndersonLost 01
L#1 DoublesCara Fulton / Jake Satisky vs Frederic Colas / Layna Kelly6-7, 3-6
2022-09-18vs Game TimeLost 01
L#1 DoublesCara Fulton / Jake Satisky vs Derrick Lewis / Jennifer Mitchell4-6, 3-6
2022-08-20vs Game TimeLost 01
L#1 DoublesTom Oda / Cara Fulton vs Barghav Hariharan / Krupaa Lakshmi6-3, 2-6, 0-1
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 DC WTA Combo Mixed 7.5 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 3.37 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.

Daniel Jones
published 4
Drew Vollmer
published 4
Jake Satisky
published 4
3.68
Kathy Crowley
published
3.65
Tom Oda
published
3.56
Kim Ngoc Tran
published
3.56
Della Cummings
published 4
3.35
Cara Fulton
usually #1 Doubles 100% · published 3.5
3.29
Harriet Nash
published 3.5
3.04
Brian Lynch
published 3
2.80
Nancy Perkins
published
Jeff Ragonese
published
Mario Cristaldo
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.

Nancy Perkins + Tom Oda191452% games+2.1% vs expected
Cara Fulton + Mario Cristaldo8950% gamesnot enough data
Nancy Perkins + Brian Lynch314 matchesnot enough data
Cara Fulton + Drew Vollmer224 matchesnot enough data
Della Cummings + Drew Vollmer213 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
Daniel Jones
3W–7L career · no lines in 2022
not enough data
4
Drew Vollmer
10W–14L career · no lines in 2022
not enough data
4
Jake Satisky
2W–2L career · no lines in 2022
not enough data
Kathy Crowley
15W–34L career · no lines in 2022
9%91%1%
3.68
Tom Oda
60W–69L career · no lines in 2022
12%87%<1%
3.65
Kim Ngoc Tran
10W–20L career · no lines in 2022
31%69%<1%
3.56
4
Della Cummings
17W–15L career · no lines in 2022
34%66%<1%
3.56
3.5
Cara Fulton
156W–152L career · 3 lines in 2022
<1%86%13%
3.35
3.5
Harriet Nash
18W–18L career · no lines in 2022
1%94%5%
3.29
3
Brian Lynch
64W–81L career · no lines in 2022
<1%39%61%
3.04
Nancy Perkins
132W–95L career · no lines in 2022
1%92%7%
2.80
Jeff Ragonese
17W–16L career · no lines in 2022
not enough data
Mario Cristaldo
28W–47L 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.