Teams

IE-MTC-Shelter

2025 So Cal Mixed Doubles Tri-Level - IE · 6.0

17 players · average NTRP 3.10 / SO.CALIFORNIA

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Schedule1 played
2025-10-12vs IE-Andulka-Party Mix-UngeheuerLost 03
L#1 DoublesRosa Galeas-Vamadeva / Renzo Rodriguez vs Rose Soriano / Christopher Enciso3-6, 4-6
L#2 DoublesLouissa Dyer / Jeffrey Robertson vs Samantha Mae Moerer / Carsten Seemann2-6, 5-7
L#3 DoublesJennivieve Randolph / Mike Deluca vs Valoria Jones / Jinyong Liu7-6, 0-6, 0-1
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 standings for 6.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.12 estimated across 13 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.

3.60
Kelsey Cane
published
3.60
Judy Henning
published
3.54
Louissa Dyer
usually #2 Doubles 100% · published
3.40
Rosa Galeas-Vamadeva
usually #1 Doubles 100% · published
3.27
Elizabeth Bentley
published 3.5
3.25
David Duncan
published 3.5
3.19
Maureen Duncan
published
3.00
Jeff Cane
published
2.99
Ray Miller
published
2.79
Heidi Jones
published 3
2.74
Jennivieve Randolph
usually #3 Doubles 100% · published
2.73
Aaron Capen
published 3
2.50
Irene Capen
published 2.5
Jeanne Shelter
published
Jeffrey Robertson
usually #2 Doubles 100% · published
Matt Randolph
published
Mike Deluca
usually #3 Doubles 100% · 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.

Mike Deluca + Heidi Jones4256% gamesnot enough data
Louissa Dyer + Jeffrey Robertson1443% gamesnot enough data
Irene Capen + Aaron Capen1430% gamesnot 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.

Kelsey Cane
0W–4L career · no lines in 2025
21%79%<1%
3.60
Judy Henning
3W–5L career · no lines in 2025
23%77%<1%
3.60
Louissa Dyer
16W–13L career · 1 line in 2025
<1%39%61%
3.54
Rosa Galeas-Vamadeva
12W–17L career · 1 line in 2025
<1%78%22%
3.40
3.5
Elizabeth Bentley
6W–7L career · no lines in 2025
2%94%4%
3.27
3.5
David Duncan
7W–10L career · no lines in 2025
3%95%3%
3.25
Maureen Duncan
5W–4L career · no lines in 2025
7%92%1%
3.19
Jeff Cane
4W–5L career · no lines in 2025
49%51%<1%
3.00
Ray Miller
1W–7L career · no lines in 2025
54%46%<1%
2.99
3
Heidi Jones
21W–20L career · no lines in 2025
1%93%6%
2.79
Jennivieve Randolph
7W–11L career · 1 line in 2025
3%94%2%
2.74
3
Aaron Capen
1W–4L career · type S · no lines in 2025
4%94%2%
2.73
2.5
Irene Capen
6W–11L career · no lines in 2025
0%49%51%
2.50
Jeanne Shelter
0W–1L career · no lines in 2025
not enough data
Jeffrey Robertson
1W–4L career · 1 line in 2025
not enough data
Matt Randolph
0W–2L career · no lines in 2025
not enough data
Mike Deluca
4W–5L career · 1 line in 2025
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.