Teams

NITA F 6.5CMXc Score (Thompson/Glod)

2022 NITA4 Fall Combo Mixed 18 & Over · NITA Fall Combo Mixed 18 & O 6.5

12 players · average NTRP 3.25 / NORTHERN ILLINOIS

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 →
Schedule6 played
2022-12-04vs N IL 6.5CMX Berry/DelgrossoLost 12
W#1 DoublesCarla Gonzales / Raynard Laylo vs Priya Bansal / Raj Iyer6-4, 7-6
L#2 DoublesAndrew James / Colette Pinter vs Michelle Jurcenko / Jeffrey Pawlicki1-6, 3-6
L#3 DoublesBrian Allendorfer / Marion Thompson vs Kimberly Kirtley / Kyle Berry2-6, 2-6
L#1 DoublesDebbie Clifford / Raynard Laylo vs Julie Savanelli / Richard McLean2-6, 2-6
L#2 DoublesRosemary Kryk / Andrew James vs Thomas Strickler / Stacie Kotrogiannis5-7, 2-6
W#3 DoublesNorbert Glod / Marion Thompson vs Daniel McDowell / Tracy Ries6-4, 6-1
L#1 DoublesCarla Gonzales / Andrew James vs Erica White / Thomas Strickler3-6, 3-6
L#2 DoublesBrian Allendorfer / Debbie Clifford vs Julie Savanelli / Richard McLean2-6, 1-6
W#3 DoublesJeff Lemna / Becky Lemna vs Kristin Brown / Rob Castanares6-4, 6-2
2022-10-30vs N IL 6.5CMX Berry/DelgrossoLost 12
L#1 DoublesRaynard Laylo / Joan St. Paul vs Everett Smith / Shilpa Iyer1-6, 2-6
W#2 DoublesJeff Lemna / Becky Lemna vs Lori Vardas / Jeffrey Pawlicki4-6, 5-4, 1-0
L#3 DoublesAndrew James / Jill Lauesen vs Kimberly Kirtley / Raj Iyer6-2, 4-6, 0-1
2022-10-23vs N IL 6.5CMX Berry/DelgrossoLost 03
L#1 DoublesNorbert Glod / Carla Gonzales vs Everett Smith / Zaneta Gintautas6-7, 4-6
L#2 DoublesAndrew James / Jill Lauesen vs Nancy Valerio / Purushothaman Damodaran5-7, 6-7
L#3 DoublesBrian Allendorfer / Colette Pinter vs Michelle Jurcenko / Raj Iyer3-6, 3-6
L#1 DoublesJeff Lemna / Jill Lauesen vs Thomas Strickler / Erica White6-7, 6-7
L#2 DoublesRaynard Laylo / Rosemary Kryk vs Julie Savanelli / Richard McLean2-6, 1-6
W#3 DoublesAndrew James / Colette Pinter vs Daniel McDowell / Colleen Zumerchik6-3, 6-0
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 standings3 teams · NITA Fall Combo Mixed 18 & O 6.5
TeamWLInd. WInd. LSets lostGames lost
1N IL 6.5CMX Berry/Delgrosso6014411127
2NITA F 6.5CMXb Courts Plus (Barsotti/Strickler)3381021165
3NITA F 6.5CMXc Score (Thompson/Glod)0651327193

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 2.99 estimated across 7 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.

3.49
Norbert Glod
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.25
Becky Lemna
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.15
Jill Lauesen
usually #2 Doubles 33%, also #1 Doubles 33% · published
3.13
Raynard Laylo
usually #1 Doubles 75%, also #2 Doubles 25% · published
2.79
Jeff Lemna
usually #1 Doubles 33%, also #2 Doubles 33% · published 3
Carla Gonzales
usually #1 Doubles 100% · published 3
Colette Pinter
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
Debbie Clifford
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.68
Joan St. Paul
usually #1 Doubles 100% · published
2.46
Marion Thompson
usually #3 Doubles 100% · published
Brian Allendorfer
usually #3 Doubles 67%, also #2 Doubles 33% · published
Rosemary Kryk
usually #2 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.

Marion Thompson + Norbert Glod152247% games+13.3% vs expected
Becky Lemna + Jeff Lemna393850% games+3.7% vs expected
Marion Thompson + Raynard Laylo01425% games−13.6% vs expected
Jill Lauesen + Norbert Glod41339% games−17.7% vs expected
Carla Gonzales + Norbert Glod8947% gamesnot enough data
Jill Lauesen + Jeff Lemna8552% gamesnot enough data
Carla Gonzales + Raynard Laylo3841% gamesnot enough data
Jill Lauesen + Raynard Laylo1937% 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.

4
Norbert Glod
161W–162L career · type A · 2 lines in 2022
53%47%<1%
3.49
3.5
Becky Lemna
129W–114L career · 2 lines in 2022
3%95%3%
3.25
Jill Lauesen
62W–130L career · 3 lines in 2022
13%86%<1%
3.15
Raynard Laylo
65W–113L career · 4 lines in 2022
<1%17%83%
3.13
3
Jeff Lemna
67W–79L career · type A · 3 lines in 2022
1%94%5%
2.79
3
Carla Gonzales
15W–40L career · type M · 3 lines in 2022
not enough data
3
Colette Pinter
37W–85L career · 3 lines in 2022
not enough data
3
Debbie Clifford
55W–38L career · 2 lines in 2022
not enough data
Joan St. Paul
19W–79L career · 1 line in 2022
99%1%<1%
2.68
Marion Thompson
63W–216L career · 2 lines in 2022
>99%<1%<1%
2.46
Brian Allendorfer
1W–13L career · 3 lines in 2022
not enough data
Rosemary Kryk
0W–7L career · 2 lines in 2022
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.