Teams

NNM 3.5M LA - Chang

2022 USTA Adult 40 & Over League - NNM · 3.5 Men

9 players · average NTRP 3.50 / NORTHERN NEW MEXICO

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 →
Schedule2 played
2022-04-03vs NNM 3.5M JC - DreikeSplit 11
L#1 DoublesJae Chang / Walt Whetham vs Robert Munro / Tomas Ruiz-Fabrega3-6, 3-6
W#2 DoublesDonald Dry / Kin Lam vs Dean Strassburger / Vince Panzarella6-1, 5-7, 1-0
2022-03-12vs NNM 3.5M JC - DreikeLost 12
L#1 DoublesChristopher Lee / Yu Seung Kim vs Greg Smith / Robert Munro6-7, 7-6, 0-1
W#2 DoublesJae Chang / Sergey Kurennoy vs John Loges / Vincent Langan1-6, 6-4, 1-0
L#3 DoublesJerome Morzinski / Walt Whetham vs Dean Strassburger / John Burns2-6, 6-3, 1-0
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 3.5 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 3.20 estimated across 5 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.

3.39
Yu Seung Kim
usually #1 Doubles 100% · published
3.33
Paul Koehler
usually #2 Doubles 67%, also #3 Doubles 17% · published
3.14
Sergey Kurennoy
usually #2 Doubles 78%, also #3 Doubles 22% · published
3.11
Jae Chang
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.04
Donald Dry
usually #2 Doubles 100% · published 3.5
Jerome Morzinski
usually #3 Doubles 100% · published
John Sarracino
usually #3 Doubles 60%, also #1 Doubles 40% · published
Kin Lam
usually #2 Doubles 100% · published
Walt Whetham
usually #1 Doubles 50%, also #3 Doubles 50% · 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.

Paul Koehler + Sergey Kurennoy61546% games+0.4% vs expected
Donald Dry + Jae Chang2444% games−2.0% vs expected
Jae Chang + Yu Seung Kim3745% games−2.4% vs expected
Jae Chang + Sergey Kurennoy5447% games−3.6% vs expected
Donald Dry + Sergey Kurennoy2642% games−3.6% vs expected
Donald Dry + Yu Seung Kim4256% gamesnot enough data
Jae Chang + Kin Lam2352% gamesnot enough data
Paul Koehler + Yu Seung Kim044 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.

Yu Seung Kim
32W–36L career · 1 line in 2022
<1%80%19%
3.39
Paul Koehler
27W–59L career · 6 lines in 2022
1%90%9%
3.33
Sergey Kurennoy
45W–93L career · 9 lines in 2022
13%86%<1%
3.14
3.5
Jae Chang
21W–37L career · 2 lines in 2022
20%80%<1%
3.11
3.5
Donald Dry
19W–47L career · 1 line in 2022
38%62%<1%
3.04
Jerome Morzinski
0W–1L career · 1 line in 2022
not enough data
John Sarracino
8W–19L career · 5 lines in 2022
not enough data
Kin Lam
4W–14L career · 1 line in 2022
not enough data
Walt Whetham
0W–2L career · 2 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.