Teams

Yeessir 4.0

2025 Howard Singles · Howard Singles 4.0 Men

8 players · average NTRP 4.12 / MARYLAND

View scouting list →
Schedule9 played
2025-11-14vs Copsey 4.0Lost 01
L#2 SinglesJohnny Hsiung vs William Briscoe0-6, 3-6
2025-10-30vs Copsey 4.0Lost 01
L#2 SinglesFrederic Colas vs Brian Wagner4-6, 6-2, 0-1
2025-10-28Won 10
W#1 SinglesFrederic Colas vs Shoubhit Ravi6-3, 6-4
2025-10-27vs Khan - KTA 4.0Lost 12
W#1 SinglesJeffrey Bauer vs Dharmesh Patel6-3, 6-0
L#2 SinglesJohn Yee vs Alexander Gerson6-7, 2-6
L#3 SinglesJoe Bae vs Keming Wu3-6, 2-6
2025-10-25vs Ghim - Wild Cards-singlesSplit 11
L#1 SinglesFrederic Colas vs Anthony Hoffman6-1, 5-7, 0-1
W#3 SinglesJohnny Hsiung vs Evan Lloyd6-4, 6-2
2025-10-10vs Ghim - Wild Cards-singlesLost 01
L#2 SinglesJohnny Hsiung vs Matt Huether4-6, 3-6
2025-10-06vs Ghim - Wild Cards-singlesWon 10
W#1 SinglesFrederic Colas vs Matt Huether7-5, 7-5
2025-09-30vs Foehrkolb - Mishit Winners 4.0Won 30
W#1 SinglesJeffrey Bauer vs Cole Weber6-2, 6-1
W#2 SinglesJohn Yee vs Avik Dayal7-6, 6-0
W#3 SinglesDavid Nazari vs Reilly Gates6-0, 6-4
2025-09-03vs Foehrkolb - Mishit Winners 4.0Won 10
W#2 SinglesJohnny Hsiung vs Arthur Chaite6-4, 6-3
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 Singles 4.0 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 3.86 estimated across 7 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.

4.20
Jay Yee
usually #3 Singles 100% · published 4.5
3.95
Johnny Hsiung
usually #2 Singles 75%, also #3 Singles 25% · published 4
3.89
Jeffrey Bauer
usually #1 Singles 100% · published
3.78
Frederic Colas
usually #1 Singles 75%, also #2 Singles 25% · published 4
3.76
John Yee
usually #2 Singles 100% · published
3.74
David Nazari
usually #3 Singles 100% · published 4
3.71
SUNG WOON SOON
published
Joe Bae
usually #3 Singles 100% · 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.

Johnny Hsiung + John Yee7166% games+3.0% vs expected
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.

4.5
Jay Yee
133W–66L career · 4 lines in 2025
8%90%1%
4.20
4
Johnny Hsiung
573W–156L career · 4 lines in 2025
<1%64%36%
3.95
Jeffrey Bauer
4W–3L career · 2 lines in 2025
78%22%<1%
3.89
4
Frederic Colas
180W–150L career · 4 lines in 2025
2%92%5%
3.78
John Yee
24W–17L career · 2 lines in 2025
3%92%5%
3.76
4
David Nazari
10W–4L career · 1 line in 2025
4%93%3%
3.74
SUNG WOON SOON
17W–1L career · no lines in 2025
<1%7%93%
3.71
Joe Bae
0W–1L career · 1 line in 2025
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.