Teams

RPM

2023 Montgomery Combo Winter · Montgomery Combo 6.5 Men

13 players · average NTRP 3.30 / MARYLAND

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Schedule4 played
2023-04-10Won 10
W#3 DoublesPing-Jung Liu / Junyi Shi vs N/A6-0, 6-0
2023-03-25Lost 01
L#2 DoublesBo Liang / Junyi Shi vs Tony Feric / Sorin Schwartz6-2, 4-6, 0-1
2023-03-12vs Aces 'R UsWon 10
W#2 DoublesZhiwei Lin / Junyi Shi vs Bryan Bassig / Mohamed Atalla6-3, 6-7, 1-0
2023-02-18vs DefendersLost 01
L#2 DoublesJunyi Shi / Haibin Bai vs Sean Alewine / Sandeep Duvedi6-7, 5-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for Montgomery Combo 6.5 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 3.17 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.

4.03
George Liu
published 4
3.60
Zhiwei Lin
published
3.35
Jun Hee Kim
published
3.32
Junyi Shi
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
3.24
Xiao Liu
published
3.16
Mark Tyler
published
2.96
Wei Fu
published
2.92
Woo Jin Shim
published
2.90
Bo Liang
published 3
2.75
Hyun Soo Kim
published 3
2.69
Eddie Gao
published 3
KC Song
published
Ping-Jung Liu
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.

Eddie Gao + Bo Liang224 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
George Liu
13W–7L career · no lines in 2023
<1%41%59%
4.03
Zhiwei Lin
10W–8L career · no lines in 2023
21%79%<1%
3.60
Jun Hee Kim
12W–10L career · no lines in 2023
<1%87%12%
3.35
3.5
Junyi Shi
54W–32L career · 4 lines in 2023
1%91%9%
3.32
Xiao Liu
1W–6L career · no lines in 2023
3%94%2%
3.24
Mark Tyler
26W–14L career · no lines in 2023
<1%12%88%
3.16
Wei Fu
12W–11L career · no lines in 2023
<1%61%39%
2.96
Woo Jin Shim
1W–9L career · no lines in 2023
74%26%<1%
2.92
3
Bo Liang
11W–11L career · no lines in 2023
<1%77%23%
2.90
3
Hyun Soo Kim
5W–7L career · no lines in 2023
3%95%2%
2.75
3
Eddie Gao
7W–6L career · no lines in 2023
7%92%1%
2.69
KC Song
2W–0L career · no lines in 2023
not enough data
Ping-Jung Liu
1W–2L career · no lines in 2023
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.