Teams

SPRING NORTH/Hit It & Quit It

Adult 18 & Over Spring · 4.5 Men North - Day NJD

8 players · average NTRP 4.25 / NEW JERSEY

View scouting list →
Schedule5 played
2022-06-12vs NassauWon 20
W#1 DoublesDon Kim / Alexander Wan vs John Doe / Christopher Smith4-6, 6-2, 1-0
W#2 DoublesSammer Bekhiet / Qasim Khan vs Timothy Dowd / Rudolf van Mol6-4, 6-3
2022-06-05vs NassauWon 20
W#1 DoublesSammer Bekhiet / Andy Li vs John Doe / Rudolf van Mol6-3, 6-2
W#2 DoublesQasim Khan / Atul Sharma vs Dan Khoo / Peter Tilles6-0, 6-2
2022-05-22vs NassauWon 30
W#1 DoublesDon Kim / Jonathan Yu vs Timothy Dowd / Ryan Mecca6-4, 7-5
W#1 SinglesAndy Li vs Dan Khoo6-0, 6-0
W#2 DoublesBlake Illes / Ko Kiuchi vs Ravi Vaidyanathan / Rudolf van Mol6-2, 6-4
2022-05-15vs NassauWon 20
W#1 DoublesKo Kiuchi / Jonathan Yu vs Arunkumar Bangalore / Rudolf van Mol6-0, 6-4
W#2 DoublesRichard Chen / Don Kim vs Harshavardhan Dharkar / Peter Tilles6-2, 6-4
2022-05-01vs NassauWon 20
W#1 DoublesDon Kim / Jonathan Yu vs Timothy Dowd / Christopher Smith4-6, 6-2, 1-0
W#2 DoublesAlexander Wan / Richard Chen vs Rudolf van Mol / Ryan Mecca6-2, 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 standings1 teams · 4.5 Men North - Day NJD
TeamWLInd. WInd. LSets lostGames lost
1SPRING NORTH/Hit It & Quit It0515512132

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 3.80 estimated across 3 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.

Don Kim
usually #1 Doubles 75%, also #2 Doubles 25% · published 4.5
4.08
Ko Kiuchi
usually #1 Doubles 75%, also #2 Doubles 25% · published
3.86
Alexander Wan
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.46
Richard Chen
usually #2 Doubles 100% · published
Andy Li
usually #1 Singles 50%, also #1 Doubles 50% · published
Atul Sharma
usually #2 Doubles 100% · published
Jonathan Yu
usually #1 Doubles 100% · published
Qasim Khan
usually #2 Doubles 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.

Qasim Khan + Don Kim4165% games+11.1% vs expected
Jonathan Yu + Don Kim6750% gamesnot 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.

4.5
Don Kim
48W–23L career · 4 lines in 2022
not enough data
Ko Kiuchi
36W–17L career · 8 lines in 2022
26%74%<1%
4.08
4
Alexander Wan
25W–6L career · 2 lines in 2022
<1%86%14%
3.86
Richard Chen
4W–5L career · 2 lines in 2022
62%38%<1%
3.46
Andy Li
3W–0L career · 2 lines in 2022
not enough data
Atul Sharma
2W–3L career · 1 line in 2022
not enough data
Jonathan Yu
26W–30L career · 3 lines in 2022
not enough data
Qasim Khan
34W–14L career · 2 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.