Teams

Thede-Parker

2022 NOVA Combo Men · NOVA Combo 8.5 Men

12 players · average NTRP 4.42 / VIRGINIA

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 →
Schedule5 played
2022-09-06vs Wise Ace GOATsSplit 11
L#2 DoublesMatt Morgan / Blake Nuwayhid vs Sumeet Chawla / Zachary Errickson2-6, 4-6
W#3 DoublesDhiraj Jagasia / Kenneth Fowler vs Liviu Carare / Stephen Gotts6-4, 6-1
2022-08-27vs Team Fever TreeWon 10
W#1 DoublesChip Hathaway / Nicholas Ponticelli vs Zack Armstrong / Ryan Rohn7-6, 6-1
2022-08-22vs Wise Ace GOATsWon 20
W#1 DoublesJordan Bentley / Chip Hathaway vs Oliver Lee / Suraj Goyle6-3, 6-6
W#2 DoublesNicholas Ponticelli / Dhiraj Jagasia vs Ethan Barath / Jason Wright6-2, 6-1
2022-08-20Won 10
W#2 DoublesChip Hathaway / Jordan Bentley vs Chris Helmick / Dariusz Kot6-3, 6-3
2022-08-18vs Chantucky BoysWon 20
W#1 DoublesBlake Nuwayhid / Lohit Palle vs Rob Rivera / Russ Roberts6-4, 5-3
W#2 DoublesJordan Bentley / Chip Hathaway vs Dariusz Kot / Christopher Reneau6-1, 6-4
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 NOVA Combo 8.5 Men 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 4.11 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.

4.29
Dhiraj Jagasia
usually #2 Doubles 50%, also #3 Doubles 50% · published 5
4.25
Edward Brophy
published 4.5
4.18
Kenneth Fowler
published
4.11
Chip Hathaway
usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5
3.98
Blake Nuwayhid
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
3.86
Jordan Bentley
published
Aaron Thede
published 4
Devarshi Bhatt
published 4
Lohit Palle
published
Matt Morgan
published
Maximillian Chang
published
Zackery Gould
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.

5
Dhiraj Jagasia
99W–65L career · 2 lines in 2022
95%5%<1%
4.29
4.5
Edward Brophy
4W–2L career · no lines in 2022
3%95%2%
4.25
Kenneth Fowler
56W–30L career · no lines in 2022
8%91%1%
4.18
4.5
Chip Hathaway
207W–115L career · 4 lines in 2022
21%79%<1%
4.11
4.5
Blake Nuwayhid
32W–61L career · 2 lines in 2022
57%43%<1%
3.98
Jordan Bentley
23W–5L career · no lines in 2022
<1%85%14%
3.86
4
Aaron Thede
0W–2L career · no lines in 2022
not enough data
4
Devarshi Bhatt
2W–0L career · no lines in 2022
not enough data
Lohit Palle
5W–7L career · no lines in 2022
not enough data
Matt Morgan
5W–1L career · no lines in 2022
not enough data
Maximillian Chang
3W–0L career · no lines in 2022
not enough data
Zackery Gould
17W–9L 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.