OC LNRC/Monarch- Elyzabeth - Sun 12

2023 USTA Mixed Doubles 40 & Over - OC · OC - 7.0 WE - Weekend Mixed Doubles

17 players · average NTRP 4.06 / 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 - 7.0 WE - Weekend Mixed Doubles 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 3.66 estimated across 16 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.

4.21

Valentina Stepanova

usually #3 Doubles 69%, also #1 Doubles 25% · published 4.5

4.03

Theresa Jeong

usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5

3.97

Brian Richardson

published 4.5

3.91

Elyzabeth Pham

usually #3 Doubles 60%, also #1 Doubles 40% · published 4

3.82

SUSAN BROWN

published —

3.81

Desiree Kathmann

usually #2 Doubles 50%, also #1 Doubles 50% · published 4

3.76

Tami Vannah

usually #1 Doubles 50%, also #3 Doubles 50% · published 4

3.76

James Ha

usually #1 Doubles 40%, also #2 Doubles 30% · published —

3.58

Emily McKinney

published —

3.57

Jaala Zabrocki

published —

3.52

Kent Burner

published —

3.51

Jennifer Sabol

published —

3.33

Quang Luu

published —

3.31

Cindy Tang

published 3.5

3.25

Rod Faircloth

usually #3 Doubles 100% · published 3.5

3.22

Vinod Melapudi

published —

—

KAZI ISLAM

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.

Desiree Kathmann + Rod Faircloth	19–11	52% games	−0.8% vs expected
Rod Faircloth + Elyzabeth Pham	3–0	3 matches	not 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.

4.5

Valentina Stepanova

172W–73L career · 16 lines in 2023

6%92%2%

4.21

4.5

Theresa Jeong

83W–33L career · 4 lines in 2023

41%59%<1%

4.03

4.5

Brian Richardson

8W–7L career · no lines in 2023

59%41%<1%

3.97

Elyzabeth Pham

152W–37L career · 5 lines in 2023

<1%74%26%

3.91

—

SUSAN BROWN

16W–5L career · no lines in 2023

<1%1%99%

3.82

Desiree Kathmann

307W–204L career · 2 lines in 2023

1%89%9%

3.81

Tami Vannah

360W–151L career · 2 lines in 2023

3%92%5%

3.76

—

James Ha

88W–53L career · 10 lines in 2023

3%92%4%

3.76

—

Emily McKinney

8W–10L career · no lines in 2023

<1%29%71%

3.58

—

Jaala Zabrocki

11W–3L career · no lines in 2023

<1%<1%>99%

3.57

—

Kent Burner

5W–0L career · no lines in 2023

<1%46%54%

3.52

—

Jennifer Sabol

7W–4L career · no lines in 2023

<1%48%52%

3.51

—

Quang Luu

12W–4L career · no lines in 2023

1%88%11%

3.33

3.5

Cindy Tang

19W–6L career · type S · no lines in 2023

1%90%9%

3.31

3.5

Rod Faircloth

299W–305L career · 2 lines in 2023

3%93%4%

3.25

—

Vinod Melapudi

7W–10L career · no lines in 2023

6%92%2%

3.22

—

KAZI ISLAM

4W–0L 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.