Teams

OC Tennis Lovers - LPC - Diekneit - Sat11

2025 OC 55 & Over Mixed Doubles · OC WE 7.0

9 players · average NTRP 3.50 / SO.CALIFORNIA

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Schedule6 played
2025-11-23vs OC Irvine LPC - Debra - Sat9Lost 12
W#1 DoublesXuan Le / Terry Wong vs Xi Xu / Jing Dong6-2, 6-4
L#2 DoublesKaren Holmes / Jeff Holmes vs Mai Gu / Henry Xin2-6, 1-6
L#3 DoublesBen Seifollahi / Sheri Hall vs Jun Yuan / Christine Ly4-6, 0-6
2025-11-22vs OC YLCC - Jerry - Sun3Won 10
W#1 DoublesSharon Diekneit / Edward Pederson vs Sandra Patel / Joseph Leonardi6-4, 7-6
L#1 DoublesSharon Diekneit / Brian Lee vs Maria Arlene Ranada / Virgilio Angeles0-6, 2-6
2025-10-19vs OC YLCC - Jerry - Sun3Won 10
W#2 DoublesSharon Diekneit / Edward Pederson vs Christina Case / Jerry McCormick6-2, 6-3
2025-10-11vs OC Irvine LPC - Debra - Sat9Lost 01
L#1 DoublesSharon Diekneit / Ray Ng vs Selina Mansonhing / Jon Wang1-6, 3-6
2025-09-27vs OC Anaheim TC - Konnie Vu -Sun*Lost 01
L#2 DoublesSharon Diekneit / Ray Ng vs Robin Briones / Travis Moore1-6, 2-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for OC WE 7.0 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 3.17 estimated across 5 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.

3.29
Sharon Diekneit
usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5
3.28
Ben Seifollahi
usually #3 Doubles 100% · published 3.5
3.12
Beth McCormick
published 3.5
3.10
Xuan Le
usually #1 Doubles 100% · published
3.09
Cynthia Branch
published 3.5
Edward Pederson
published
Jeff Holmes
usually #2 Doubles 100% · published
Ray Ng
published
Sheri Hall
usually #3 Doubles 100% · 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.

Sharon Diekneit + Ray Ng3553% gamesnot enough data
Sharon Diekneit + Ben Seifollahi4447% gamesnot enough data
Sheri Hall + Ben Seifollahi314 matchesnot enough data
Beth McCormick + Edward Pederson123 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.

3.5
Sharon Diekneit
185W–204L career · 5 lines in 2025
2%92%6%
3.29
3.5
Ben Seifollahi
5W–7L career · 1 line in 2025
2%92%6%
3.28
3.5
Beth McCormick
6W–10L career · no lines in 2025
20%79%<1%
3.12
Xuan Le
32W–16L career · 1 line in 2025
<1%25%75%
3.10
3.5
Cynthia Branch
5W–11L career · no lines in 2025
25%74%<1%
3.09
Edward Pederson
2W–5L career · no lines in 2025
not enough data
Jeff Holmes
7W–5L career · 1 line in 2025
not enough data
Ray Ng
6W–8L career · no lines in 2025
not enough data
Sheri Hall
3W–1L career · 1 line 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.