Teams

JADE PK 18MX8.0A

2023 MIXED 18&Over · 18&Over MX8.0

15 players · average NTRP 3.90 / NO. 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 →
Schedule3 played
2023-03-18vs SHERWOOD TC 18MX8.0ALost 01
L#1 DoublesGeorge Taylor / Sharyn Evers vs Joel Munoz Salinas / Molly Espiritu3-6, 1-6
2023-03-02vs CARMEL VAC 18MX8.0ALost 01
L#1 DoublesGeorge Taylor / Beatriz Dailey vs Julie Walton / Ken Walton2-6, 3-6
2023-02-19vs CARMEL VAC 18MX8.0ALost 01
L#3 DoublesGeorge Taylor / Monica McNulty vs John Dicconson / Victoria Bunch3-6, 5-7
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 18&Over MX8.0 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 8 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.

3.97
Michael Hiddleson
published
3.93
Ramesh Theivendran
published
3.90
Bob Linney
published 4
3.76
Casey Schirmer
published 4
George Taylor
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.72
Marcus Woods
published
3.62
John Szymanski
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.46
Gregory LeBaron
published
3.32
Caitlin Baker
published 3.5
Donny Dailey
published
Jeanine Schirmer
published
Julie Nielsen
published
Kathie Park
published
Monica McNulty
published
Sara Litle
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.

Jeanine Schirmer + Casey Schirmer6257% 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.

Michael Hiddleson
1W–7L career · no lines in 2023
59%41%<1%
3.97
Ramesh Theivendran
0W–5L career · no lines in 2023
69%31%<1%
3.93
4
Bob Linney
2W–1L career · no lines in 2023
<1%76%24%
3.90
4
Casey Schirmer
13W–6L career · no lines in 2023
3%92%4%
3.76
4
George Taylor
121W–113L career · 3 lines in 2023
not enough data
Marcus Woods
11W–10L career · no lines in 2023
98%2%<1%
3.72
4
John Szymanski
132W–113L career · 3 lines in 2023
20%80%<1%
3.62
Gregory LeBaron
7W–7L career · no lines in 2023
<1%62%38%
3.46
3.5
Caitlin Baker
27W–16L career · no lines in 2023
1%89%10%
3.32
Donny Dailey
1W–3L career · no lines in 2023
not enough data
Jeanine Schirmer
11W–4L career · no lines in 2023
not enough data
Julie Nielsen
0W–4L career · no lines in 2023
not enough data
Kathie Park
3W–8L career · no lines in 2023
not enough data
Monica McNulty
0W–2L career · no lines in 2023
not enough data
Sara Litle
3W–3L 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.