Teams

SGV Terminetters- Bennett-Scholl/SA5

2026 Adult Division - 40& Over San Gabriel Valley · SGV - Women 4.0

11 players · average NTRP 3.71 / SO.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 →
Schedule8 played
W#2 DoublesJenny Lin / Bonnie Cheung vs Ellen Yarter / Celeste Nameth6-1, 6-3
L#1 DoublesJenny Lin / Ming-Ming Peng vs Roseann DeRosa / Claudia Ibarra0-6, 7-6, 0-1
L#2 DoublesCathy Lee / Mary Chou vs Kelly Moss / Lisa Partain0-6, 2-6
2026-03-22vs SGV Dare Doubles-Flores-WN/SU8Split 11
W#1 SinglesUmaa Rebbapragada vs Leslie Le6-1, 6-4
L#2 DoublesJenny Lin / Jina Lee vs Ennie Gonzaga / Tiffany Yu6-2, 1-6, 0-1
W#1 SinglesUmaa Rebbapragada vs Karen Beutler6-2, 6-3
W#3 DoublesJenny Lin / Lupe Lopez vs Yolanda Barocio / Sherie Paulson6-4, 6-3
W#2 DoublesJina Lee / Jenny Lin vs Laurel Eriksen / Sheila Purdy6-2, 6-2
L#1 SinglesBrett Bennett vs Diana Rochford1-6, 3-6
W#2 DoublesJenny Lin / Jina Lee vs Sean Ky / Abbey Everson6-3, 6-4
W#3 DoublesMary Chou / Becky Kim vs May de Castro / Cristina Padron2-6, 6-3, 1-0
L#1 SinglesUmaa Rebbapragada vs Amy Newhall6-4, 4-6, 0-1
W#2 DoublesJenny Lin / Cathy Lee vs Mindy Schiffman / Nancy Ray7-5, 6-0
W#1 DoublesMary Chou / Becky Kim vs Penapa Frick / Tess de Los Reyes6-4, 5-7, 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 standings6 teams · SGV - Women 4.0
TeamWLInd. WInd. LSets lostGames lost
1SGV LLW Mo Better Tennis-DeRosa-WN/SA1071211126221
2SGV Terminetters- Bennett-Scholl/SA562211127233
3SGV Creme de la Court- Kim-Flint Cyn/SU253161634274
4SGV TCC Tennis-Johnson-Claremont Club/SU844171534279
5SGV Live Oaks "Old" Ladies-Perry-Live Oaks/SA126122047326
6SGV Old Gummies-Manley-Arroyo high/SU80892352347

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 3.58 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.

4.07
Ming-Ming Peng
usually #1 Doubles 100% · published 4
3.98
Bonnie Cheung
usually #2 Doubles 100% · published 4
3.82
Jessica Kuba
usually #1 Singles 100% · published 4
3.67
Mary Chou
usually #3 Doubles 33%, also #1 Doubles 33% · published
3.61
Lupe Lopez
usually #3 Doubles 80%, also #2 Doubles 20% · published
3.54
Umaa Rebbapragada
usually #1 Singles 100% · published
3.52
Brett Bennett
usually #1 Singles 100% · published 3.5
3.37
Margie Englis
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.34
Becky Kim
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.33
Jenny Lin
usually #2 Doubles 71%, also #3 Doubles 14% · published
3.14
Sandy Mandel
usually #1 Singles 100% · published 3.5
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.

Ming-Ming Peng + Jenny Lin51043% games−2.3% vs expected
Lupe Lopez + Margie Englis6262% gamesnot enough data
Margie Englis + Brett Bennett123 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
Ming-Ming Peng
52W–34L career · 7 lines in 2026
<1%31%69%
4.07
4
Bonnie Cheung
5W–0L career · 1 line in 2026
<1%56%43%
3.98
4
Jessica Kuba
14W–2L career · type S · 1 line in 2026
1%89%9%
3.82
Mary Chou
2W–1L career · 3 lines in 2026
11%88%1%
3.67
Lupe Lopez
149W–105L career · 5 lines in 2026
21%79%<1%
3.61
Umaa Rebbapragada
13W–3L career · 6 lines in 2026
<1%<1%>99%
3.54
3.5
Brett Bennett
65W–54L career · 1 line in 2026
<1%45%55%
3.52
3.5
Margie Englis
169W–111L career · 3 lines in 2026
<1%83%17%
3.37
3.5
Becky Kim
10W–6L career · 2 lines in 2026
1%87%12%
3.34
Jenny Lin
14W–18L career · 7 lines in 2026
<1%1%99%
3.33
3.5
Sandy Mandel
70W–85L career · 1 line in 2026
17%83%<1%
3.14

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.