Teams

Hawk - Cox/Tangeman

2022 Alachua Mixed 40 & Over · 6.0 Mixed 40 & Over

10 players · average NTRP 3.25 / REGION_2

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Schedule8 played
2022-03-30Won 10
W#3 DoublesJodi Cox / Robert Tangeman vs Hillary Arnaoutakis / Jamie Pomeranz7-5, 6-4
2022-03-14vs Hawk - Yonge/HowellLost 01
L#1 DoublesKelsy Hill / Adam Polifka vs Tania Alavi / Thomas Yonge2-6, 2-6
2022-03-04vs Park - BobcatsWon 10
W#2 DoublesHaesuk Park / Robert Tangeman vs Terry Rodriguez / Benjamin Bensadon6-3, 6-2
2022-02-27vs Alachua - JTC/Zaldivar/DemopolousLost 02
L#1 DoublesQuynn Gingrich / Subramanyam Pasumarti vs Chris Cochran / Kim Newsom1-6, 2-6
L#2 DoublesKelsy Hill / Adam Polifka vs Maria Zaldivar / Paul Folkers6-3, 2-6, 1-0
2022-02-17vs WS - FergusonWon 10
W#2 DoublesSubramanyam Pasumarti / Kristen King vs Alicia Pfahler / David Pfahler3-6, 6-3, 1-0
2022-02-04vs DB - MadorskyWon 10
W#3 DoublesSubramanyam Pasumarti / Carmen Cornell vs Colleen Anderson / Paul Turney6-7, 1-0
2022-01-30vs JTC - LancasterWon 20
W#1 DoublesIsabel Silver / Subramanyam Pasumarti vs James Araujo / Tiffany Schmidt6-3, 6-2
W#2 DoublesKelsy Hill / Robert Tangeman vs Patricia Woolley / John Stewart6-1, 6-1
2022-01-16vs Park - BobcatsWon 10
W#3 DoublesTed Gingrich / Haesuk Park vs Valerie Atohi / Stefan Gerber6-3, 6-2
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 6.0 Mixed 40 & Over 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 3.21 estimated across 6 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.

3.57
Keith Myers
published
3.24
Haesuk Park
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.23
Kelsy Hill
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.17
Jodi Cox
published
3.08
Subramanyam Pasumarti
usually #1 Doubles 50%, also #3 Doubles 25% · published 3
3.01
Robert Tangeman
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
Carmen Cornell
published 3
JASON BROMIRSKI
published 3
Isabel Silver
published
John Cornell
published
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.

Keith Myers
8W–9L career · no lines in 2022
29%71%<1%
3.57
3.5
Haesuk Park
86W–64L career · 2 lines in 2022
3%94%2%
3.24
3.5
Kelsy Hill
103W–117L career · 3 lines in 2022
4%94%2%
3.23
Jodi Cox
6W–17L career · no lines in 2022
10%89%1%
3.17
3
Subramanyam Pasumarti
127W–85L career · 4 lines in 2022
<1%27%73%
3.08
3.5
Robert Tangeman
146W–71L career · 3 lines in 2022
48%52%<1%
3.01
3
Carmen Cornell
0W–1L career · no lines in 2022
not enough data
3
JASON BROMIRSKI
0W–1L career · no lines in 2022
not enough data
Isabel Silver
1W–0L career · no lines in 2022
not enough data
John Cornell
0W–1L 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.