Teams

Well Hong

2022 Montgomery Combo Fall · Montgomery Combo Fall 7.5 Men

11 players · average NTRP 3.69 / MARYLAND

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 →

Flight standings for Montgomery Combo Fall 7.5 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 3.46 estimated across 9 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.

3.75
David Nazari
published 4
3.64
Bill Devine
published 4
3.59
Bradley Jacques
usually #1 Doubles 100% · published 4
3.51
Dileep Nair
published 3.5
3.50
Dmitri Blumin
usually #1 Doubles 60%, also #3 Doubles 40% · published 3.5
3.40
Steven Wolf
published
3.33
Jagannath Surampudi
usually #3 Doubles 100% · published 3.5
3.30
Alex Podpaly
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
3.15
Andrew Norris
published 3.5
Mikhail Laryukhin
published
Wei-Chang Yang
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.

Alex Podpaly + Dmitri Blumin2339% gamesnot enough data
Jagannath Surampudi + Bradley Jacques123 matchesnot enough data
Jagannath Surampudi + Dmitri Blumin123 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.

4
David Nazari
10W–4L career · no lines in 2022
3%95%3%
3.75
4
Bill Devine
3W–0L career · type S · no lines in 2022
14%86%<1%
3.64
4
Bradley Jacques
192W–208L career · 5 lines in 2022
24%75%<1%
3.59
3.5
Dileep Nair
3W–4L career · no lines in 2022
<1%48%52%
3.51
3.5
Dmitri Blumin
105W–64L career · 5 lines in 2022
<1%51%49%
3.50
Steven Wolf
16W–8L career · no lines in 2022
<1%77%23%
3.40
3.5
Jagannath Surampudi
296W–330L career · 1 line in 2022
1%90%9%
3.33
3.5
Alex Podpaly
122W–91L career · 5 lines in 2022
1%93%6%
3.30
3.5
Andrew Norris
2W–4L career · no lines in 2022
12%88%<1%
3.15
Mikhail Laryukhin
1W–2L career · no lines in 2022
not enough data
Wei-Chang Yang
1W–2L 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.