Teams

LLTC - Racquet Knight

2022 HTA Spring NA - Men's Doubles Thursday · 4.5 Men's Doubles

13 players · average NTRP 4.36 / TEXAS

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 4.5 Men's Doubles 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 3.94 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.

4.26
Billington Tong
published 4.5
4.26
Andy Chan
published 4.5
Camilo Rodriguez
published 4.5
Duy Linh Nguyen
published 4.5
4.15
4.10
Lening Wang
published
3.77
3.76
Stern Yeh
published
3.76
Kit Joseph Shum
published
3.72
Barrett von Blon
published 4
3.72
Ramana Surya
published
Adriano Soares
published
Pablo Codesal
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.

Kit Joseph Shum + Ramana Surya3545% games+2.2% vs expected
Kit Joseph Shum + Pablo Codesal4249% games+1.2% vs expected
Kit Joseph Shum + Eric Metcalf-Doetsch5159% gamesnot enough data
Giovanny Iabichino + Ramana Surya303 matchesnot enough data
Eric Metcalf-Doetsch + Billington Tong123 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.

4.5
Billington Tong
42W–27L career · no lines in 2022
2%94%3%
4.26
4.5
Andy Chan
18W–12L career · no lines in 2022
2%95%3%
4.26
4.5
Camilo Rodriguez
13W–13L career · no lines in 2022
not enough data
4.5
Duy Linh Nguyen
18W–5L career · no lines in 2022
not enough data
4.5
Eric Metcalf-Doetsch
52W–23L career · no lines in 2022
13%87%<1%
4.15
Lening Wang
80W–38L career · no lines in 2022
<1%23%77%
4.10
4
Giovanny Iabichino
22W–14L career · no lines in 2022
2%94%4%
3.77
Stern Yeh
40W–25L career · no lines in 2022
2%94%3%
3.76
Kit Joseph Shum
37W–34L career · no lines in 2022
2%94%3%
3.76
4
Barrett von Blon
18W–5L career · no lines in 2022
4%94%2%
3.72
Ramana Surya
37W–34L career · no lines in 2022
5%94%2%
3.72
Adriano Soares
9W–6L career · no lines in 2022
not enough data
Pablo Codesal
44W–7L 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.