Teams

Vissering

2024 Howard Columbia Mixed 18 & Over · Howard Columbia Mixed 18 & Over 9.0

13 players · average NTRP 4.71 / MARYLAND

View scouting list →
Schedule11 played
2024-04-14vs Crawley HoCo 9.0Won 20
W#2 DoublesJonathan Vissering / Ellen Berlinghof vs Lee Wroe / Carol Besse6-4, 6-2
W#3 DoublesDao Phan-Vissering / Vijay Golla vs N/A6-0, 6-0
2024-04-07vs HocoCha 9.0Won 20
W#1 DoublesIrene Chen / Mehrban Iranshad vs Marketa Chromkova / Farooq Iqbal6-3, 7-5
W#2 DoublesEve Helmer / Vijay Golla vs Anne Tobin / Matthew Geppi7-6, 5-1
2024-03-29vs HocoCha 9.0Won 21
W#1 DoublesIrene Chen / Mehrban Iranshad vs Anne Tobin / Matthew Geppi6-1, 7-6
W#2 DoublesAngel Batkins / Renaldo Savady vs Jay Yee / Lyndall Jordan6-2, 5-7, 1-0
L#3 DoublesMargie Davis / Jonathan Vissering vs Koby Bonta / Maureen Kolb7-6, 4-6, 1-0
2024-03-16vs Crawley HoCo 9.0Won 20
W#1 DoublesIrene Chen / Mehrban Iranshad vs Lee Wroe / Shelena Sanderson6-1, 6-3
W#2 DoublesKaitlyn Heo / Shuang Chen vs Lolita Blair / David Trang6-3, 6-2
2024-03-10vs HocoCha 9.0Split 11
W#1 DoublesDao Phan-Vissering / Vijay Golla vs Jennifer Nyman / Henry Cha6-2, 6-3
L#2 DoublesKaitlyn Heo / Renaldo Savady vs Nita Elie / Farooq Iqbal4-6, 6-2, 0-1
2024-02-24vs HocoCha 9.0Won 10
W#1 DoublesEve Helmer / Mehrban Iranshad vs Anne Tobin / Matthew Geppi6-1, 7-5
2024-02-18vs Crawley HoCo 9.0Won 30
W#1 DoublesEllen Berlinghof / Mehrban Iranshad vs Meghan Damico / David Trang6-3, 6-1
W#2 DoublesKaitlyn Heo / Shuang Chen vs Buthaina Shukri / KHOURY ZIAD6-3, 6-1
W#3 DoublesEve Helmer / Jonathan Vissering vs Shelena Sanderson / Chris Miller6-3, 7-6
2024-02-17vs HocoCha 9.0Won 20
W#2 DoublesAngel Batkins / Renaldo Savady vs Lyndall Jordan / Farooq Iqbal6-3, 2-6, 1-0
W#3 DoublesEve Helmer / Mehrban Iranshad vs Henry McVeigh / Maureen Kolb6-3, 6-2
2024-02-10vs HocoCha 9.0Lost 12
L#1 DoublesRenaldo Savady / Angel Batkins vs Koby Bonta / Sarah Monsheimer4-6, 2-6
L#2 DoublesVijay Golla / Dao Phan-Vissering vs Farooq Iqbal / Marketa Chromkova2-6, 0-6
W#3 DoublesNathan Leslie / Eve Helmer vs Sean Der / Maureen Kolb7-5, 6-4
2024-02-04vs Crawley HoCo 9.0Split 11
L#1 DoublesJonathan Vissering / Ellen Berlinghof vs David Trang / Meghan Damico2-6, 4-6
W#2 DoublesAngel Batkins / Renaldo Savady vs Michael Liu / Bonnie Keating6-4, 6-3
2024-01-07vs Crawley HoCo 9.0Won 10
W#1 DoublesVijay Golla / Dao Phan-Vissering vs Curtis Cavey / Kelly Dennis6-3, 6-1
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 Howard Columbia Mixed 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 4.30 estimated across 10 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.

4.80
Angel Batkins
published 5
4.68
Kaitlyn Heo
usually #2 Doubles 100% · published 5
4.49
Eve Helmer
usually #3 Doubles 60%, also #1 Doubles 20% · published 5
4.45
Mehrban Iranshad
usually #1 Doubles 83%, also #3 Doubles 17% · published 5
4.33
Margie Davis
published
4.25
Nathan Leslie
published
4.19
Jonathan Vissering
usually #1 Doubles 57%, also #3 Doubles 29% · published 4.5
4.04
Shuang Chen
published
3.96
Dao Phan-Vissering
usually #1 Doubles 50%, also #2 Doubles 25% · published 4.5
3.83
Renaldo Savady
usually #2 Doubles 60%, also #3 Doubles 30% · published 4
Hayan Marouf
published
Irene Chen
published
Jessica Lee
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.

Jonathan Vissering + Dao Phan-Vissering81150% gamesnot enough data
Jonathan Vissering + Eve Helmer5063% gamesnot enough data
Mehrban Iranshad + Eve Helmer303 matchesnot enough data
Kaitlyn Heo + Renaldo Savady123 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.

5
Angel Batkins
13W–7L career · no lines in 2024
no projection at this level
4.80
5
Kaitlyn Heo
128W–63L career · 3 lines in 2024
no projection at this level
4.68
5
Eve Helmer
276W–134L career · type D · 5 lines in 2024
no projection at this level
4.49
5
Mehrban Iranshad
126W–71L career · 6 lines in 2024
no projection at this level
4.45
Margie Davis
36W–18L career · no lines in 2024
1%88%11%
4.33
Nathan Leslie
9W–8L career · no lines in 2024
4%93%4%
4.25
4.5
Jonathan Vissering
357W–182L career · 7 lines in 2024
9%90%1%
4.19
Shuang Chen
16W–3L career · no lines in 2024
<1%39%61%
4.04
4.5
Dao Phan-Vissering
232W–271L career · 4 lines in 2024
62%38%<1%
3.96
4
Renaldo Savady
224W–182L career · 10 lines in 2024
1%88%11%
3.83
Hayan Marouf
10W–2L career · no lines in 2024
not enough data
Irene Chen
3W–0L career · no lines in 2024
not enough data
Jessica Lee
2W–1L career · no lines in 2024
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.