Teams

SGV Mo Better Tennis-DeRosa-WN/SA10

2025 Adult Division - 40& Over San Gabriel Valley · SGV - Women 4.5

10 players · average NTRP 4.20 / 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 SGV - Women 4.5 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 3.93 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.

4.47
Jennifer Prakash
published
4.15
Gloria Geller
usually #1 Doubles 57%, also #2 Doubles 43% · published 4.5
4.08
Shirley Fong
usually #1 Singles 50%, also #3 Doubles 50% · published 4.5
4.04
Joanna Morley
published
3.93
Vicki Peterson
published
3.84
Claudia Ibarra
usually #1 Singles 40%, also #2 Doubles 20% · published 4
3.78
Xiaochun Wang
published
3.70
Roseann DeRosa
usually #1 Doubles 44%, also #2 Doubles 22% · published 4
3.68
Theona Zhordania
usually #1 Doubles 63%, also #2 Doubles 25% · published 4
3.67
Jennifer Lichtman
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.

Claudia Ibarra + Roseann DeRosa11952% games+5.9% vs expected
Theona Zhordania + Roseann DeRosa191651% games+1.2% vs expected
Claudia Ibarra + Theona Zhordania6358% gamesnot enough data
Claudia Ibarra + Xiaochun Wang404 matchesnot enough data
Joanna Morley + Jennifer Prakash404 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.

Jennifer Prakash
10W–2L career · no lines in 2025
<1%58%42%
4.47
4.5
Gloria Geller
139W–102L career · 7 lines in 2025
14%85%1%
4.15
4.5
Shirley Fong
89W–47L career · 2 lines in 2025
27%72%<1%
4.08
Joanna Morley
11W–1L career · no lines in 2025
<1%<1%>99%
4.04
Vicki Peterson
3W–5L career · no lines in 2025
<1%<1%>99%
3.93
4
Claudia Ibarra
97W–62L career · 5 lines in 2025
1%86%13%
3.84
Xiaochun Wang
4W–0L career · no lines in 2025
2%92%5%
3.78
4
Roseann DeRosa
162W–106L career · 9 lines in 2025
8%91%2%
3.70
4
Theona Zhordania
117W–121L career · 8 lines in 2025
10%89%1%
3.68
Jennifer Lichtman
24W–8L career · no lines in 2025
<1%<1%>99%
3.67

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.