Teams

Shankopotamus

2022 Prince Georges Mixed 18 & Over · Prince Georges Mixed Doubles 18 & Over 9.0

15 players · average NTRP 4.60 / MARYLAND

View scouting list →
Schedule6 played
2022-04-02vs Mixed SignalsWon 10
W#1 DoublesTaimi Ando / Kelly Blackborow vs Jordan Zimmerman / Gabriella Hesse6-1, 5-7, 1-0
2022-03-26vs Mixed SignalsWon 10
W#2 DoublesHeidi Sung / Mehrban Iranshad vs Kevin Woodruff / Martha Roberts Nolan6-3, 6-3
2022-03-12vs Mixed SignalsWon 10
W#2 DoublesMehrban Iranshad / Kelly Blackborow vs Richard Laukitis / Ashley Delaney6-4, 6-4
2022-03-05vs Mixed SignalsWon 10
W#2 DoublesTaimi Ando / Kelly Blackborow vs Jordan Zimmerman / Ashley Delaney5-7, 6-2, 1-0
2022-02-26vs Mixed SignalsLost 01
L#2 DoublesHeidi Sung / Mehrban Iranshad vs Melissa Mendoza / Houston Ward4-6, 3-6
2022-02-13vs Mixed SignalsWon 10
W#3 DoublesHeidi Sung / Mehrban Iranshad vs Richard Laukitis / Ashley Delaney5-7, 6-2, 1-0
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 standings for Prince Georges Mixed Doubles 18 & Over 9.0 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 4.27 estimated across 12 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.

4.87
4.48
Martina Dragoytchev
published
4.46
Mehrban Iranshad
usually #2 Doubles 75%, also #3 Doubles 25% · published 5
4.28
Taimi Ando
usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5
4.25
Alysia Rodgers
published 4.5
4.22
Leila Lam
published
4.20
Kelly Blackborow
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
4.16
Jonathan Santos
published
4.11
Chris Downs
published 4.5
4.08
Lindsey Keeler
published
4.08
Victor Wong
published
4.01
Trinh Banks
published
Jason Wall
published
Karen Taubenslag
published
Rob Rivera
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.

Manu Balasubramanian
41W–8L career · no lines in 2022
<1%83%17%
4.87
Martina Dragoytchev
5W–1L career · no lines in 2022
<1%<1%>99%
4.48
5
Mehrban Iranshad
126W–72L career · 4 lines in 2022
61%39%<1%
4.46
4.5
Taimi Ando
164W–65L career · 2 lines in 2022
2%94%5%
4.28
4.5
Alysia Rodgers
3W–1L career · type S · no lines in 2022
2%95%3%
4.25
Leila Lam
21W–5L career · no lines in 2022
5%94%1%
4.22
4.5
Kelly Blackborow
135W–66L career · 3 lines in 2022
6%93%1%
4.20
Jonathan Santos
74W–27L career · no lines in 2022
11%88%<1%
4.16
4.5
Chris Downs
4W–8L career · no lines in 2022
19%81%<1%
4.11
Lindsey Keeler
25W–18L career · no lines in 2022
27%73%<1%
4.08
Victor Wong
1W–2L career · no lines in 2022
28%72%<1%
4.08
Trinh Banks
27W–8L career · no lines in 2022
48%52%<1%
4.01
Jason Wall
3W–4L career · no lines in 2022
not enough data
Karen Taubenslag
15W–14L career · no lines in 2022
not enough data
Rob Rivera
11W–11L 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.