Teams

LLTC - Racquet Knights

2025 HTA Spring NA - Men's Doubles Thursday · 4.5 Men's Doubles

19 players · average NTRP 4.33 / 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 3.80 estimated across 15 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.

4.25
James Bui
usually #2 Doubles 50%, also #1 Doubles 50% · published
4.01
Yi Zhou
published
4.01
Billington Tong
published 4.5
3.98
Andrew Kwan
published 4.5
3.88
Matthew Rovelli
published
3.85
Israel Corona
published
3.81
3.76
Sean Hang
usually #4 Doubles 50%, also #3 Doubles 50% · published
3.73
Kevin Shannon
published
3.73
Mark Etienne
published
3.72
Giovanny Iabichino
published
3.71
Jordan Payne
published
3.56
Marco Antonio
published
3.52
Adrian Miranda
published 4
3.52
Kit Joseph Shum
published
Jie Chen
published
Justin Chang
published
Tri Pham
published
Van Tran
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.

Jordan Payne + Mark Etienne4255% games+5.8% vs expected
Yi Zhou + Mark Etienne9358% games−1.7% vs expected
Kit Joseph Shum + Eric Metcalf-Doetsch5159% gamesnot enough data
Jordan Payne + Giovanny Iabichino1442% gamesnot enough data
Billington Tong + Justin Chang134 matchesnot enough data
Eric Metcalf-Doetsch + Billington Tong123 matchesnot enough data
Matthew Rovelli + Yi Zhou303 matchesnot enough data
Sean Hang + Andrew Kwan213 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.

James Bui
96W–18L career · 2 lines in 2025
4%93%4%
4.25
Yi Zhou
44W–31L career · no lines in 2025
<1%46%54%
4.01
4.5
Billington Tong
42W–27L career · no lines in 2025
48%52%<1%
4.01
4.5
Andrew Kwan
32W–9L career · no lines in 2025
55%45%<1%
3.98
Matthew Rovelli
24W–7L career · no lines in 2025
<1%80%20%
3.88
Israel Corona
27W–19L career · no lines in 2025
1%85%14%
3.85
Eric Metcalf-Doetsch
52W–23L career · no lines in 2025
<1%1%99%
3.81
Sean Hang
16W–21L career · 2 lines in 2025
<1%3%97%
3.76
Kevin Shannon
33W–30L career · no lines in 2025
5%92%3%
3.73
Mark Etienne
48W–31L career · no lines in 2025
<1%5%95%
3.73
Giovanny Iabichino
22W–14L career · no lines in 2025
6%92%2%
3.72
Jordan Payne
16W–9L career · no lines in 2025
7%91%2%
3.71
Marco Antonio
13W–15L career · no lines in 2025
<1%35%65%
3.56
4
Adrian Miranda
21W–10L career · no lines in 2025
44%56%<1%
3.52
Kit Joseph Shum
37W–34L career · no lines in 2025
<1%44%56%
3.52
Jie Chen
15W–5L career · no lines in 2025
not enough data
Justin Chang
19W–15L career · no lines in 2025
not enough data
Tri Pham
23W–10L career · no lines in 2025
not enough data
Van Tran
9W–7L career · no 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.