Teams

LLTC - Fun Bunch

Mixed 55 & Over 6.0 - 9.0 · 7.0

13 players · average NTRP 3.50 / TEXAS

View scouting list →
Schedule5 played
2026-08-28vs LLTC - Mixed MedleyWon 21
W#1 DoublesDiem Pham / Jeff Hechler vs Donna Papangellin / Michael Armstead6-0, 2-6, 1-0
W#2 DoublesJanet Tran / David Wang vs Carol Lewis / Charles Pendarvis2-6, 6-2, 1-0
L#3 DoublesFrankie Erickson / Yulim Tey vs Leslie Gonsalves / Scott Morris6-7, 6-1, 0-1
2026-08-09vs LLTC - Love AllLost 02
L#2 DoublesJeff Hechler / Diem Pham vs Bethuel Gabriel / Monica Parzinger7-5, 5-7, 0-1
L#3 DoublesRandy Marino / Janet Ocasio vs Southida Chanthanark / Angelina Proudfoot0-6, 3-6
2026-08-02vs LLTC- ManiacsSplit 11
W#2 DoublesJeff Hechler / Diem Pham vs Doug Yarger / JING DU6-2, 2-6, 1-0
L#3 DoublesMonica Ho / Vipul Parikh vs Marty Kirkpatrick / Ronnie Kwan5-7, 6-4, 0-1
2026-07-24vs LLTC - Mixed MedleyWon 20
W#2 DoublesJanet Ocasio / Randy Marino vs LaRita Cormier / Noble Benning6-3, 6-1
W#3 DoublesJanet Tran / David Wang vs Carol Lewis / Scott Morris6-3, 7-5
2026-07-19vs LLTC - Love AllLost 02
L#2 DoublesFrankie Erickson / Jeff Hechler vs Cary Hafer / Angeli Zhang2-6, 0-1
L#3 DoublesMonica Ho / Vipul Parikh vs Bethuel Gabriel / Monica Parzinger4-6, 3-6
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 standings4 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1LLTC- Maniacs4111411103
2LLTC - Fun Bunch227511111
3Lost Forest - Guys & Dolls000000
4LLTC - Mixed Medley0401224145

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.37 estimated across 7 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.

3.55
Vipul Parikh
usually #3 Doubles 100% · published
3.42
Janet Tran
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.36
Frankie Erickson
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.35
Yulim Tey
usually #3 Doubles 100% · published
3.33
Jeff Hechler
usually #2 Doubles 75%, also #1 Doubles 25% · published
3.28
Monica Ho
usually #3 Doubles 100% · published
3.27
Janet Ocasio
usually #1 Doubles 33%, also #3 Doubles 33% · published
Bill Wong
published 3.5
David Wang
published 3.5
Diem Pham
published 3.5
Jill Martin
published
Melanie Wong
published
Randy Marino
usually #3 Doubles 50%, also #2 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.

Melanie Wong + Bill Wong5945% gamesnot enough data
Frankie Erickson + Randy Marino5450% gamesnot enough data
Janet Tran + David Wang5263% gamesnot enough data
Vipul Parikh + Monica Ho3254% gamesnot enough data
Jeff Hechler + Janet Tran314 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.

Vipul Parikh
13W–10L career · 2 lines in 2026
36%64%<1%
3.55
Janet Tran
50W–35L career · 2 lines in 2026
<1%72%27%
3.42
Frankie Erickson
77W–54L career · 2 lines in 2026
1%84%16%
3.36
Yulim Tey
32W–15L career · 1 line in 2026
1%85%15%
3.35
Jeff Hechler
72W–67L career · 4 lines in 2026
1%88%12%
3.33
Monica Ho
44W–25L career · 2 lines in 2026
2%92%6%
3.28
Janet Ocasio
8W–1L career · 3 lines in 2026
<1%2%98%
3.27
3.5
Bill Wong
11W–11L career · type S · no lines in 2026
not enough data
3.5
David Wang
31W–15L career · no lines in 2026
not enough data
3.5
Diem Pham
57W–33L career · no lines in 2026
not enough data
Jill Martin
14W–23L career · no lines in 2026
not enough data
Melanie Wong
26W–26L career · no lines in 2026
not enough data
Randy Marino
22W–10L career · 2 lines in 2026
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.