Teams

NITA E 80MX40a NM Huntley (Venkus)

2024 NITA1 ESL Mixed 40 & Over · NITA ESL 40 & Over 8.0 Mixed

14 players · average NTRP 4.00 / 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
W#1 DoublesDaylen Davis / Yuko Suzuki vs Brian Cole / Ellen Elliot5-7, 7-5, 1-0
W#2 DoublesAmy Brodsky / Michael Lawver vs Nolan Bello / Jackie Spicuzza4-6, 7-5, 1-0
W#3 DoublesGary Gardner / MacY Morales vs Elena Kovalenko / Pierre Thavong6-2, 6-3
2023-10-29Won 30
W#1 DoublesAli Gerstad / Michael Lawver vs N/A6-0, 6-0
W#2 DoublesSarah Korreck / Daylen Davis vs N/A6-0, 6-0
W#3 DoublesMarie Venckus / Cody Schullo vs N/A6-0, 6-0
W#1 DoublesCody Schullo / Yuko Suzuki vs Franklin Ko / Ann Ko6-3, 6-2
W#2 DoublesGary Gardner / Amy Brodsky vs Damian Marshall / Deborah Marshall6-3, 6-4
W#3 DoublesRyan Frederick / Rita Lukey vs Thekkepat Harish Madhavan / Diana McClaurin7-6, 6-2
L#1 DoublesRyan Frederick / Shelley Madsen vs Charlie Turri / Beverly Paperiello6-7, 6-3, 0-1
L#2 DoublesCody Schullo / Yuko Suzuki vs Richard McNeel / Stephanie McNeel3-6, 6-4, 1-0
W#3 DoublesGary Gardner / MacY Morales vs N/A6-0, 6-0
L#1 DoublesMichael Lawver / Amy Brodsky vs Robin Kiamco / Lisa Korte4-6, 4-6
L#2 DoublesShelley Madsen / Daylen Davis vs Debbi Landorf / John Laurx3-6, 3-6
L#3 DoublesYuko Suzuki / Steve Blackmore vs Craig Berry / Sally Berry3-6, 2-6
L#1 DoublesMichael Lawver / MacY Morales vs Robin Kiamco / Lisa Korte5-7, 4-6
L#2 DoublesDaylen Davis / Ali Gerstad vs Craig Berry / Marilyn Tansey6-4, 4-6, 0-1
L#3 DoublesSteve Blackmore / Rita Lukey vs Deniz Karacay / Penny Knapik3-6, 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 standings4 teams · NITA ESL 40 & Over 8.0 Mixed
TeamWLInd. WInd. LSets lostGames lost
1NITA E 80MX40b Naperville (Podwika)902703141
2NITA E 80MX40c Five Star (Madhavan)54111636258
3NITA E 80MX40a NM Huntley (Venkus)36101736249
4NITA E 80MX40d Vaughan (Elliot/Cole)1862143269

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 3.64 estimated across 11 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.

4.14
Amy Brodsky
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
3.92
MacY Morales
usually #3 Doubles 67%, also #1 Doubles 33% · published 4
3.79
Rita Lukey
usually #3 Doubles 80%, also #1 Doubles 20% · published 4
3.75
Sarah Korreck
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.71
Yuko Suzuki
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.61
Cody Schullo
usually #1 Doubles 67%, also #2 Doubles 22% · published 4
3.52
Ali Gerstad
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.47
Shelley Madsen
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.46
Daylen Davis
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.35
Michael Lawver
usually #1 Doubles 43%, also #2 Doubles 43% · published
3.28
Marie Venckus
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
Gary Gardner
published
Ryan Frederick
usually #1 Doubles 50%, also #3 Doubles 25% · published
Steve Blackmore
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.

Marie Venckus + Michael Lawver13755% gamesnot enough data
Yuko Suzuki + Cody Schullo6456% gamesnot enough data
Daylen Davis + Rita Lukey5463% gamesnot enough data
Amy Brodsky + Michael Lawver3544% gamesnot enough data
Yuko Suzuki + Michael Lawver3450% gamesnot enough data
Sarah Korreck + Cody Schullo3356% gamesnot enough data
Marie Venckus + Ryan Frederick4258% gamesnot enough data
Daylen Davis + MacY Morales2344% 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.

4.5
Amy Brodsky
60W–82L career · 3 lines in 2024
16%83%<1%
4.14
4
MacY Morales
103W–58L career · 3 lines in 2024
<1%71%29%
3.92
4
Rita Lukey
94W–52L career · 5 lines in 2024
2%91%7%
3.79
4
Sarah Korreck
72W–48L career · 4 lines in 2024
3%93%4%
3.75
4
Yuko Suzuki
111W–100L career · 4 lines in 2024
7%91%2%
3.71
4
Cody Schullo
94W–56L career · 9 lines in 2024
22%77%<1%
3.61
4
Ali Gerstad
123W–151L career · 2 lines in 2024
43%57%<1%
3.52
4
Shelley Madsen
46W–44L career · 2 lines in 2024
59%41%<1%
3.47
4
Daylen Davis
40W–34L career · 6 lines in 2024
62%38%<1%
3.46
Michael Lawver
105W–121L career · 7 lines in 2024
1%85%15%
3.35
3.5
Marie Venckus
92W–63L career · type M · 4 lines in 2024
2%92%6%
3.28
Gary Gardner
15W–30L career · no lines in 2024
not enough data
Ryan Frederick
27W–21L career · 4 lines in 2024
not enough data
Steve Blackmore
1W–2L career · 2 lines in 2024
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.