Teams

Saturnia Lakes / Fischel

2025 Collier Mixed 18 & Over Spring · Mixed 18 & over 7.0

12 players · average NTRP 4.00 / REGION_7

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Schedule3 played
2025-05-17vs COLLIER/Barnard/Mix18&over7.0MixLost 12
L#1 DoublesCollins Pennie / Ira Olivos vs SUE BECK / Ryan Wells0-6, 1-6
W#2 DoublesAnita Susco / Gian Fidanli vs Margaret Laggis / Mike van Parys6-3, 6-2
L#3 DoublesKristie Kederis / Ram Kumar vs Daniela de Pietto / Massimo Bugliosi2-6, 2-6
2025-05-10vs Bay Colony / GravanteLost 01
L#1 DoublesLaura Haney / Erwin Gumapac vs Steve Miron / Sue Malek2-6, 5-7
2025-04-12vs COLLIER/Barnard/Mix18&over7.0MixLost 01
L#2 DoublesLaura Haney / Ram Kumar vs Susan Flagg / Chris Flagg3-6, 3-6
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 Mixed 18 & over 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 3.23 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.

4.00
Anita Susco
usually #2 Doubles 100% · published 4
3.35
Ram Kumar
usually #3 Doubles 100% · published
3.29
Laura Haney
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.89
Ira Olivos
usually #1 Doubles 100% · published
2.61
Sherry Sheldon
published
Erwin Gumapac
published
Gian Fidanli
usually #2 Doubles 100% · published
Irene Nirmaier
published
Jeffrey Feld
published
Kristie Kederis
usually #3 Doubles 100% · published
Linda Lucombe
published
Roman Veksler
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.

Anita Susco + Gian Fidanli10262% gamesnot enough data
Ira Olivos + Erwin Gumapac1531% gamesnot enough data
Linda Lucombe + Erwin Gumapac033 matchesnot enough data
Roman Veksler + Irene Nirmaier123 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.

4
Anita Susco
17W–6L career · 1 line in 2025
<1%49%51%
4.00
Ram Kumar
3W–9L career · 1 line in 2025
1%85%14%
3.35
Laura Haney
374W–273L career · 2 lines in 2025
2%92%6%
3.29
Ira Olivos
1W–13L career · 1 line in 2025
<1%79%21%
2.89
Sherry Sheldon
2W–7L career · no lines in 2025
22%78%<1%
2.61
Erwin Gumapac
2W–13L career · no lines in 2025
not enough data
Gian Fidanli
10W–4L career · 1 line in 2025
not enough data
Irene Nirmaier
1W–5L career · no lines in 2025
not enough data
Jeffrey Feld
0W–3L career · no lines in 2025
not enough data
Kristie Kederis
0W–5L career · 1 line in 2025
not enough data
Linda Lucombe
0W–7L career · no lines in 2025
not enough data
Roman Veksler
1W–4L career · no lines 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.