Teams

Refund/Credit

Holding · Refund

11 players · average NTRP 3.75 / NEW JERSEY REGION

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 Refund 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 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.

4.47
Jason Palleschi
published
4.22
James Burger
published
4.10
Jon Rubinstein
published
3.40
Paul Fang
published 4
3.35
Craig Spenner
published 3.5
Daniel May
published
Michael Alexander
published
Ryan Kim
published
Steven Kim
published
Tyler Harris
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.

Sathiesh Ramaiyapillai Selvaraj + Paul Fang6455% games−8.5% vs expected
Jason Palleschi + James Burger314 matchesnot enough data
Tyler Harris + Paul Fang314 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.

Jason Palleschi
86W–43L career · no lines in 2022
<1%58%42%
4.47
James Burger
35W–17L career · no lines in 2022
6%92%2%
4.22
Jon Rubinstein
163W–90L career · no lines in 2022
23%76%<1%
4.10
Sathiesh Ramaiyapillai Selvaraj
124W–116L career · no lines in 2022
25%75%<1%
3.60
4
Paul Fang
217W–98L career · no lines in 2022
77%23%<1%
3.40
3.5
Craig Spenner
104W–150L career · no lines in 2022
1%86%14%
3.35
Daniel May
9W–14L career · no lines in 2022
not enough data
Michael Alexander
10W–10L career · no lines in 2022
not enough data
Ryan Kim
6W–6L career · no lines in 2022
not enough data
Steven Kim
7W–27L career · no lines in 2022
not enough data
Tyler Harris
174W–54L 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.