Teams

SFV-Team Corbin/Kathy Corbin

2025 SoCal Doubles 18 SFV Fall WE · SFV 18 WEEKEND - Women 4.0

16 players · average NTRP 4.00 / 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 →

Flight standings for SFV 18 WEEKEND - Women 4.0 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 3.61 estimated across 15 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.

3.83
Joanah Greenspan
published
3.79
Jody Mischel
usually #2 Doubles 40%, also #1 Doubles 40% · published 4
3.76
Jennifer Sears
usually #3 Doubles 67%, also #1 Doubles 33% · published 4
3.72
Christy Feinfield
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.68
Suzy Miller
published
3.64
Julie Perron
published
3.62
Jill Koenig
usually #2 Doubles 40%, also #3 Doubles 40% · published 4
3.59
Tamra Loeb
published
3.59
Robin Hittelman
usually #3 Doubles 60%, also #1 Doubles 20% · published 4
3.59
Diana Carmichael
usually #3 Doubles 33%, also #2 Doubles 33% · published 4
3.59
Melanie Truhett
usually #3 Doubles 100% · published 4
3.57
Kathy Corbin
published
3.47
Mikaela Nagler
published
3.38
Elisabeth Oei
published
3.32
Stacy Rubeli
published
Maria Tucker
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.

Jill Koenig + Robin Hittelman5449% games+16.3% vs expected
Tamra Loeb + Melanie Truhett11654% games+7.5% vs expected
Joanah Greenspan + Jody Mischel5656% games+3.0% vs expected
Christy Feinfield + Jill Koenig434052% games+0.5% vs expected
Julie Perron + Jennifer Sears2348% games−5.1% vs expected
Jennifer Sears + Robin Hittelman41144% games−5.4% vs expected
Julie Perron + Suzy Miller1441% games−8.8% vs expected
Diana Carmichael + Christy Feinfield10657% 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.

Joanah Greenspan
14W–11L career · no lines in 2025
1%88%11%
3.83
4
Jody Mischel
114W–51L career · 5 lines in 2025
2%92%6%
3.79
4
Jennifer Sears
75W–61L career · 3 lines in 2025
3%92%4%
3.76
4
Christy Feinfield
105W–88L career · 4 lines in 2025
6%92%2%
3.72
Suzy Miller
3W–8L career · no lines in 2025
10%89%1%
3.68
Julie Perron
10W–21L career · no lines in 2025
16%84%1%
3.64
4
Jill Koenig
97W–98L career · 5 lines in 2025
20%80%<1%
3.62
Tamra Loeb
13W–9L career · no lines in 2025
<1%<1%>99%
3.59
4
Robin Hittelman
76W–109L career · 5 lines in 2025
26%74%<1%
3.59
4
Diana Carmichael
81W–73L career · 3 lines in 2025
26%73%<1%
3.59
4
Melanie Truhett
125W–106L career · 2 lines in 2025
27%73%<1%
3.59
Kathy Corbin
3W–3L career · no lines in 2025
31%69%<1%
3.57
Mikaela Nagler
26W–40L career · no lines in 2025
58%42%<1%
3.47
Elisabeth Oei
2W–6L career · no lines in 2025
80%20%<1%
3.38
Stacy Rubeli
4W–11L career · no lines in 2025
<1%1%99%
3.32
Maria Tucker
0W–1L career · no lines 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.