Teams

MERVYN MORRIS PK TLM4.5A

2022 Tom Fey Tri-Level Team Tournament · Men

13 players · average NTRP 4.14 / NO. CALIFORNIA

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 Men 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 3.90 estimated across 11 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.

4.66
Minh Luu
published
Gavin Wall
published 4.5
4.22
Brian Barlay
published 4.5
4.17
Jeff MacHle
published
3.94
Ricky Duong
published
3.81
Tuan Khong
published
3.79
Paul Shin
published
Andreas Berner
published 4
3.74
Henny Huang
published 4
3.74
Lee Byrd
published
3.64
3.63
Jacky Ng
published 4
3.62
Aaron McCullough
published 4
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.

Paul Shin + Henny Huang314 matchesnot enough data
Jacky Ng + Tuan Khong134 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.

Minh Luu
2W–5L career · no lines in 2022
10%89%<1%
4.66
4.5
Gavin Wall
0W–1L career · no lines in 2022
not enough data
4.5
Brian Barlay
4W–4L career · no lines in 2022
5%94%1%
4.22
Jeff MacHle
4W–2L career · no lines in 2022
10%89%<1%
4.17
Ricky Duong
11W–4L career · no lines in 2022
67%33%<1%
3.94
Tuan Khong
15W–21L career · no lines in 2022
1%92%7%
3.81
Paul Shin
9W–3L career · no lines in 2022
1%94%5%
3.79
4
Andreas Berner
3W–2L career · no lines in 2022
not enough data
4
Henny Huang
18W–9L career · no lines in 2022
3%95%2%
3.74
Lee Byrd
6W–11L career · no lines in 2022
3%94%2%
3.74
4
Chandra Sivakumar
2W–6L career · no lines in 2022
15%85%<1%
3.64
4
Jacky Ng
2W–7L career · no lines in 2022
17%83%<1%
3.63
4
Aaron McCullough
4W–3L career · no lines in 2022
18%81%<1%
3.62

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.