Teams

OC Great Park - Beckloff

2023 SCTA Tri-Level 18 & Over - OC · OC Women - 3.0 - 3.5 - 4.0 Weekday

22 players · average NTRP 3.50 / 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 OC Women - 3.0 - 3.5 - 4.0 Weekday 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 3.16 estimated across 19 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.

3.79
Huma Khan
published
3.60
Robin Briones
usually #1 Doubles 100% · published 4
3.56
Genesis Arreola
published
3.49
Azin Mirchi
published 4
3.37
Shiva Shokouhi
published
3.36
Tricia Bregman
usually #1 Doubles 100% · published 3.5
3.28
Nedra Jenkins
published
3.26
Nikki Bartlette
published
3.22
Trisha Seminoff
published
3.16
Khanh Vu
published
3.06
Ann Stevenson
published 3.5
3.00
Tiffney Beckloff
published
2.99
Diann Burns
published 3.5
2.97
Lailai Ho
published
2.90
Dina Kagawa
published
2.89
Diann Buckingham
published 3
2.85
Suzi Kim
published
2.83
Joanne Cordero
published
2.51
Chau Phan
published 3
Jacqueline Pehkoff
published
Jeanine Bast
published
Julie Leigh
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.

Tricia Bregman + Robin Briones2439% gamesnot enough data
Shiva Shokouhi + Nikki Bartlette213 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.

Huma Khan
37W–8L career · no lines in 2023
0%<1%>99%
3.79
4
Robin Briones
111W–135L career · 6 lines in 2023
24%76%<1%
3.60
Genesis Arreola
13W–11L career · no lines in 2023
<1%33%67%
3.56
4
Azin Mirchi
6W–9L career · no lines in 2023
53%47%<1%
3.49
Shiva Shokouhi
19W–15L career · no lines in 2023
<1%82%17%
3.37
3.5
Tricia Bregman
114W–117L career · 6 lines in 2023
<1%83%16%
3.36
Nedra Jenkins
2W–10L career · no lines in 2023
94%6%<1%
3.28
Nikki Bartlette
15W–6L career · no lines in 2023
3%93%4%
3.26
Trisha Seminoff
13W–19L career · no lines in 2023
6%92%2%
3.22
Khanh Vu
17W–32L career · no lines in 2023
13%86%1%
3.16
3.5
Ann Stevenson
3W–8L career · no lines in 2023
34%66%<1%
3.06
Tiffney Beckloff
5W–15L career · no lines in 2023
49%51%<1%
3.00
3.5
Diann Burns
1W–3L career · no lines in 2023
53%47%<1%
2.99
Lailai Ho
16W–25L career · no lines in 2023
<1%59%41%
2.97
Dina Kagawa
17W–14L career · no lines in 2023
<1%76%24%
2.90
3
Diann Buckingham
20W–22L career · no lines in 2023
<1%78%22%
2.89
Suzi Kim
2W–8L career · no lines in 2023
1%85%14%
2.85
Joanne Cordero
6W–7L career · no lines in 2023
1%88%11%
2.83
3
Chau Phan
1W–4L career · no lines in 2023
48%52%<1%
2.51
Jacqueline Pehkoff
0W–4L career · no lines in 2023
not enough data
Jeanine Bast
0W–2L career · no lines in 2023
not enough data
Julie Leigh
2W–7L career · no lines in 2023
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.