Teams

Racket Scientists

2022 Baltimore Mixed 18 & Over · Baltimore Mixed 18 & Over 7.0

10 players · average NTRP 3.80 / MARYLAND

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Schedule6 played
2022-02-13vs Doubles JeopardyLost 01
L#2 DoublesManeesha Ahluwalia / J Blue vs Tracy Flaherty / Michael Apanius3-6, 1-6
2022-02-06vs Show Your LoveWon 10
W#2 DoublesJ Blue / Laura Haney vs Terry McDonnell / Kristin Seidl7-5, 6-1
2022-01-30vs Doubles JeopardyWon 10
W#2 DoublesPatrick Doane / Maneesha Ahluwalia vs Lisa Siraganian / James Smith6-4, 6-4
2022-01-28vs Show Your LoveSplit 11
L#1 DoublesDoug Nichols / Beth van Derslice vs Matthew Thanner / Valerie Thanner2-6, 3-6
W#2 DoublesJ Blue / Laura Haney vs Rajesh Jari / Kristin Seidl2-6, 6-3, 1-0
2022-01-14vs Show Your LoveWon 20
W#2 DoublesDoug Nichols / Beth van Derslice vs Joel Muneses / Kathy Pettus6-4, 7-6
W#3 DoublesPatrick Doane / Laura Haney vs William Pettus / Carolyn Wescott6-4, 7-5
2022-01-07vs Doubles JeopardySplit 11
L#1 DoublesDoug Nichols / Beth van Derslice vs Karin Davis / Rongfeng Li4-6, 1-6
W#3 DoublesJohn Lynam / Maneesha Ahluwalia vs Rick Milter / Kate Fleming7-5, 6-3
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 Baltimore Mixed 18 & Over 7.0 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 3.53 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.

4.38
Eboni Lance
published 4.5
3.73
Kate Dempsey
published
3.53
Maneesha Ahluwalia
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.38
Beth van Derslice
usually #1 Doubles 83%, also #2 Doubles 17% · published 3.5
3.30
Laura Haney
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.26
3.16
J Blue
published 3.5
John Lynam
published
Karen Robertson
published
Patrick Dempsey
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.

Kate Dempsey + Patrick Dempsey3357% 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.

4.5
Eboni Lance
357W–214L career · no lines in 2022
<1%81%19%
4.38
Kate Dempsey
31W–22L career · no lines in 2022
4%94%2%
3.73
4
Maneesha Ahluwalia
121W–124L career · 3 lines in 2022
42%58%<1%
3.53
3.5
Beth van Derslice
57W–33L career · 6 lines in 2022
<1%83%17%
3.38
Laura Haney
374W–273L career · 3 lines in 2022
1%92%7%
3.30
3.5
Elisabeth Garcia-Wade
9W–5L career · no lines in 2022
2%94%3%
3.26
3.5
J Blue
4W–6L career · no lines in 2022
11%88%<1%
3.16
John Lynam
9W–14L career · no lines in 2022
not enough data
Karen Robertson
6W–5L career · no lines in 2022
not enough data
Patrick Dempsey
5W–3L 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.