Teams

SGV Mo Better Tennis - DeRosa - WN/SA 8

2022 Adult Division - 40& Over San Gabriel Valley · SGV - Women 4.0

11 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 SGV - 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 3.71 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.

3.89
Karen Vidal
published
3.86
Claudia Ibarra
usually #2 Doubles 57%, also #3 Doubles 43% · published 4
3.80
Xiaochun Wang
published
Celia Dominguez
published 4
3.74
Kelly Moss
published
3.74
Satsuki Yamashita
published
3.73
Roseann DeRosa
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.71
Theona Zhordania
published 4
3.64
Gloria Ziperovich
usually #1 Singles 67%, also #1 Doubles 33% · published 4
3.54
Holly Lieberenz
usually #2 Doubles 43%, also #1 Doubles 29% · published 4
3.48
Elena Salinas
usually #1 Singles 46%, also #3 Doubles 18% · published 4
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.

Roseann DeRosa + Gloria Ziperovich9354% games+6.9% vs expected
Claudia Ibarra + Elena Salinas20459% games+6.5% vs expected
Claudia Ibarra + Roseann DeRosa11952% games+4.8% vs expected
Theona Zhordania + Roseann DeRosa191651% games+1.9% vs expected
Holly Lieberenz + Theona Zhordania4647% games−3.9% vs expected
Holly Lieberenz + Roseann DeRosa5457% gamesnot enough data
Claudia Ibarra + Theona Zhordania6358% gamesnot enough data
Claudia Ibarra + Gloria Ziperovich6357% 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.

Karen Vidal
25W–10L career · no lines in 2022
<1%81%19%
3.89
4
Claudia Ibarra
97W–62L career · 7 lines in 2022
<1%86%13%
3.86
Xiaochun Wang
4W–0L career · no lines in 2022
1%93%6%
3.80
4
Celia Dominguez
58W–99L career · no lines in 2022
not enough data
Kelly Moss
8W–8L career · no lines in 2022
3%94%2%
3.74
Satsuki Yamashita
4W–3L career · no lines in 2022
3%94%2%
3.74
4
Roseann DeRosa
162W–106L career · 6 lines in 2022
4%94%2%
3.73
4
Theona Zhordania
117W–121L career · no lines in 2022
5%93%1%
3.71
4
Gloria Ziperovich
81W–81L career · 6 lines in 2022
14%86%<1%
3.64
4
Holly Lieberenz
168W–125L career · 7 lines in 2022
37%63%<1%
3.54
4
Elena Salinas
140W–158L career · 11 lines in 2022
55%45%<1%
3.48

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.