Teams

SDNC LLW 7.0 FRCC/ Filicia

2026 Mixed Doubles 55 & Over Spring- Combined SD · SDNC

11 players · average NTRP 3.50 / SAN DIEGO

View scouting list →
Schedule
Flight standings9 teams · SDNC
TeamWLInd. WInd. LSets lostGames lost
1SD LLW 7.0 Mtn View/ Ixtlahuac7119514165
2SDNC LLW 7.0 FRCC/ Filicia7118614179
3SD 7.0 Incredoubles @BTC/ Bolger7118618181
4SD 7.0 SDTRC/ Pillow44141024188
5SDNC 7.0 Santaluz Club/ Anderson44131126216
6SDNC 7.0 El Camino CC/ Napper35101432245
7SDNC 7.0 RPTC/ Taillac3591532223
8SD 7.0 Peninsula TC/ Bauer1761838251
9SD 7.0 Lake Murray TC/ Crisologo1732144272

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 3.40 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.

3.56
Wayne Chan
published
3.50
3.44
Scott Arnold
published
3.44
Alison Pasiut
published 3.5
3.43
Jim Filicia
published 3.5
3.42
Stanford Yee
published 3.5
3.41
Jennifer Hackett
usually #3 Doubles 60%, also #2 Doubles 40% · published
3.35
Hillary Emery
published 3.5
3.32
Clare Lemon
published 3.5
3.30
Salma Ott
published 3.5
3.29
Jay Federhart
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.

Clare Lemon + Jim Filicia141057% games+0.4% vs expected
Hillary Emery + Stanford Yee4162% gamesnot enough data
Salma Ott + Christopher Villasenor314 matchesnot enough data
Jennifer Hackett + Stanford Yee404 matchesnot enough data
Clare Lemon + Stanford Yee303 matchesnot enough data
Jim Filicia + Alison Pasiut303 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.

Wayne Chan
5W–1L career · no lines in 2026
<1%34%66%
3.56
3.5
Christopher Villasenor
46W–26L career · no lines in 2026
<1%51%49%
3.50
Scott Arnold
6W–6L career · no lines in 2026
<1%66%34%
3.44
3.5
Alison Pasiut
36W–28L career · no lines in 2026
<1%68%32%
3.44
3.5
Jim Filicia
108W–90L career · no lines in 2026
<1%69%31%
3.43
3.5
Stanford Yee
52W–32L career · no lines in 2026
<1%72%27%
3.42
Jennifer Hackett
30W–16L career · 5 lines in 2026
<1%75%25%
3.41
3.5
Hillary Emery
110W–84L career · no lines in 2026
1%86%13%
3.35
3.5
Clare Lemon
117W–140L career · no lines in 2026
1%89%10%
3.32
3.5
Salma Ott
45W–32L career · no lines in 2026
2%91%8%
3.30
3.5
Jay Federhart
45W–46L career · no lines in 2026
2%92%6%
3.29

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.