Teams

Hit and Run

2025 Washington D.C. Singles · Washington D.C. Singles 4.5 Men

7 players · average NTRP 4.50 / WASHINGTON D.C.

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 →
Schedule8 played
2025-09-07vs Net AssetsLost 12
L#1 SinglesJeremy Pietruszewski vs Michael Morris5-7, 1-4
W#2 SinglesRaphael Huang vs Nicholas McMurray6-3
L#3 SinglesGeo Nikolov vs Brad Ziajor7-6, 0-2
2025-09-06vs Net AssetsWon 10
W#1 SinglesJeffrey Bauer vs Nicholas McMurray6-1, 7-5
2025-08-17vs Net AssetsSplit 11
W#1 SinglesJeremy Pietruszewski vs Brad Ziajor6-4, 6-2
L#2 SinglesAti Ok vs Zackery Gould6-4, 4-6, 0-1
2025-08-16vs Net AssetsLost 03
L#1 SinglesWeiling Tan vs Conner Healy1-6, 1-6
L#2 SinglesGeorge Liu vs Brad Ziajor4-6, 1-6
L#3 SinglesGeo Nikolov vs Zackery Gould0-6, 2-6
2025-08-03vs Net AssetsLost 02
L#1 SinglesWeiling Tan vs Michael Morris2-6, 1-6
L#2 SinglesAti Ok vs Zachary Johnson1-6, 0-6
2025-08-02vs Net AssetsLost 02
L#1 SinglesJeremy Pietruszewski vs Michael Morris0-6, 0-6
L#2 SinglesAti Ok vs Conner Healy2-6, 6-4
2025-07-30vs Net AssetsLost 12
L#1 SinglesWeiling Tan vs Zackery Gould0-6, 3-6
W#2 SinglesJeremy Pietruszewski vs Conner Healy6-1, 6-3
L#3 SinglesAti Ok vs Zachary Johnson2-6, 2-3
2025-07-20vs Net AssetsLost 03
L#1 SinglesAti Ok vs Michael Morris1-6, 1-6
L#2 SinglesWeiling Tan vs Zachary Johnson0-6, 0-6
L#3 SinglesGeorge Liu vs Thomas Cyrnak3-6, 3-4
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 standings1 teams · Washington D.C. Singles 4.5 Men
TeamWLInd. WInd. LSets lostGames lost
1Hit and Run0942344282

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 4.00 estimated across 5 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.

4.04
Ati Ok
usually #2 Singles 60%, also #1 Singles 20% · published 4.5
4.04
Raphael Huang
usually #2 Singles 100% · published
4.02
George Liu
usually #2 Singles 50%, also #3 Singles 50% · published
3.99
Geo Nikolov
usually #3 Singles 100% · published
3.89
Jeffrey Bauer
usually #1 Singles 100% · published
Jeremy Pietruszewski
usually #1 Singles 75%, also #2 Singles 25% · published
Weiling Tan
usually #1 Singles 75%, also #2 Singles 25% · 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.

4.5
Ati Ok
58W–34L career · 5 lines in 2025
38%62%<1%
4.04
Raphael Huang
2W–8L career · 1 line in 2025
40%60%<1%
4.04
George Liu
13W–7L career · 2 lines in 2025
<1%45%55%
4.02
Geo Nikolov
1W–5L career · 2 lines in 2025
54%46%<1%
3.99
Jeffrey Bauer
4W–3L career · 1 line in 2025
78%22%<1%
3.89
Jeremy Pietruszewski
5W–4L career · 4 lines in 2025
not enough data
Weiling Tan
0W–5L career · 4 lines 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.