Teams

SD LT Peninsula TC/ Miller

2026 Mixed Doubles Tri-Level Fall - SD · SD (8.0

14 players · average NTRP 3.50 / SAN DIEGO

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 →
Flight standings7 teams · SD (8.0
TeamWLInd. WInd. LSets lostGames lost
1SD LT SDTRC/ Adams000000
2SD LT ECCTA/ Rozo- Runde000000
3SD LT Balboa TC/ Tan000000
4SD LT Balboa M&M's/ Afifi000000
5SD LT Peninsula TC/ Miller000000
6SD LT Mtn View/ Cortez000000
7SD LT SDTRC/ Dube000000

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 3.27 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.

3.71
Jon Cieslak
published
3.64
Erica Miller
published 4
3.56
Lorena Whiteside
published 3.5
3.42
Sarah Dudley
published
3.38
Tyler LaMont
published
3.35
Lisa Carey
published
Austin Farres Oriol
published 3.5
3.24
Bharat Madan
published 3.5
3.23
William Carey
published
2.98
Shelby Carlin
published
2.75
Deniz Unal
published 3
2.73
Gina Stein
published 3
Neil Aubuchon
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.

Erica Miller + Deniz Unal3544% gamesnot enough data
Lisa Carey + William Carey213 matchesnot enough data
Gina Stein + Bharat Madan123 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
Christopher Lopez-Simons
1W–1L career · type M · no lines in 2026
not enough data
Jon Cieslak
4W–6L career · no lines in 2026
5%93%1%
3.71
4
Erica Miller
10W–9L career · no lines in 2026
14%85%<1%
3.64
3.5
Lorena Whiteside
77W–31L career · no lines in 2026
<1%33%67%
3.56
Sarah Dudley
11W–8L career · no lines in 2026
<1%73%27%
3.42
Tyler LaMont
4W–2L career · no lines in 2026
<1%83%17%
3.38
Lisa Carey
25W–10L career · no lines in 2026
<1%86%13%
3.35
3.5
Austin Farres Oriol
2W–1L career · no lines in 2026
not enough data
3.5
Bharat Madan
1W–2L career · type S · no lines in 2026
3%95%2%
3.24
William Carey
5W–6L career · no lines in 2026
4%94%2%
3.23
Shelby Carlin
5W–1L career · no lines in 2026
<1%57%43%
2.98
3
Deniz Unal
3W–6L career · type S · no lines in 2026
3%95%3%
2.75
3
Gina Stein
1W–2L career · type S · no lines in 2026
4%94%2%
2.73
Neil Aubuchon
1W–3L 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.