Teams

SD LLW WE 7.0 Balboa Racquettes/ Estevane

2026 Adult 55 & Over Summer- SD · SDNC WE

11 players · average NTRP 3.45 / SAN DIEGO

View scouting list →
Flight standings4 teams · SDNC WE
TeamWLInd. WInd. LSets lostGames lost
1SD LLW WE 7.0 Balboa Racquettes/ Estevane5114412127
2SD 7.0 FRCC/ Hackett339920165
3SD 7.0 SDTRC/ Dube2471125186
4SD 7.0 Vintage/ Randquist2461226188

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 3.30 estimated across 10 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.

3.69
3.43
Pat St Onge
published 3.5
3.38
Megumi Bolger
published 3.5
3.37
Almira MacIas
published 3.5
3.36
Jacinthe Pare
published 3.5
3.30
Elizabeth Estevane
published 3.5
3.28
Ye-Sun Lee
published 3
3.24
Peggy Cuppy
published 3.5
3.24
Yvonne Bentle
published 3.5
2.71
Cathy Edwards
usually #1 Doubles 40%, also #3 Doubles 40% · published 3
Linda Olson
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.

Peggy Cuppy + Jacinthe Pare9256% games+6.1% vs expected
Jacinthe Pare + Pat St Onge8263% gamesnot enough data
Peggy Cuppy + Pat St Onge1448% gamesnot enough data
Cathy Edwards + Deborah Fitzgerald224 matchesnot enough data
Yvonne Bentle + Almira MacIas213 matchesnot enough data
Peggy Cuppy + Almira MacIas303 matchesnot enough data
Ye-Sun Lee + Megumi Bolger303 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
Deborah Fitzgerald
178W–201L career · no lines in 2026
9%90%1%
3.69
3.5
Pat St Onge
56W–28L career · no lines in 2026
<1%70%30%
3.43
3.5
Megumi Bolger
48W–22L career · no lines in 2026
<1%79%20%
3.38
3.5
Almira MacIas
56W–60L career · no lines in 2026
<1%82%17%
3.37
3.5
Jacinthe Pare
67W–36L career · no lines in 2026
1%84%15%
3.36
3.5
Elizabeth Estevane
50W–48L career · no lines in 2026
2%91%8%
3.30
3
Ye-Sun Lee
19W–14L career · no lines in 2026
<1%2%98%
3.28
3.5
Peggy Cuppy
42W–51L career · no lines in 2026
4%93%3%
3.24
3.5
Yvonne Bentle
80W–71L career · no lines in 2026
4%93%3%
3.24
3
Cathy Edwards
9W–6L career · 5 lines in 2026
6%92%2%
2.71
Linda Olson
1W–0L career · no 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.