Teams

MERVYN MORRIS PK 18MX9.0A

2022 MIXED 18&Over · 18&Over MX9.0

10 players · average NTRP 4.10 / 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 18&Over MX9.0 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 4.11 estimated across 8 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.

4.71
Robin Zhou
published
4.56
Lisa Liang
published
4.27
Stephen Li
published
4.23
Alex Kaiser
published 4.5
4.21
Bryan Balde
published 4.5
4.04
Brandon Mannion
published 4
Helen Tam
published 4
3.58
Melissa Heng Steele
published
3.27
Alma Hwang
published 3.5
Jeffrey Tsai
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.

Helen Tam + Brandon Mannion123 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.

Robin Zhou
10W–4L career · no lines in 2022
6%93%1%
4.71
Lisa Liang
10W–6L career · no lines in 2022
33%67%<1%
4.56
Stephen Li
10W–9L career · no lines in 2022
2%94%4%
4.27
4.5
Alex Kaiser
13W–4L career · no lines in 2022
4%94%2%
4.23
4.5
Bryan Balde
8W–4L career · no lines in 2022
6%93%1%
4.21
4
Brandon Mannion
8W–8L career · no lines in 2022
<1%38%62%
4.04
4
Helen Tam
1W–3L career · no lines in 2022
not enough data
Melissa Heng Steele
2W–2L career · no lines in 2022
26%74%<1%
3.58
3.5
Alma Hwang
3W–6L career · type M · no lines in 2022
2%94%4%
3.27
Jeffrey Tsai
3W–0L 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.