Teams

NITA E 80MX40b Midtown AC (Meng/Smith)

2022 NITA1 ESL Mixed 40 & Over · NITA ESL 40 & Over 8.0 Mixed

16 players · average NTRP 3.58 / 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 →
Schedule7 played
2021-12-05vs NITA E 80MX40a TAM (Marberry/Sung)Lost 02
L#1 DoublesSophia Koliatsis / James Klein vs Joon Sung / Jennifer Grady6-7, 0-6
L#2 DoublesRochelle Meng / Scott Smith vs Sara Marberry / SEAN YANG2-6, 1-6
W#2 DoublesRosemary Wheeler / Alex Paz vs Sue Jeon / Paul Leonardo6-7, 6-1, 1-0
W#3 DoublesSophia Koliatsis / Chris Klein vs N/A6-0, 6-0
L#2 DoublesAlex Paz / Laurie Sandman vs John Laurx / Debbi Landorf2-6, 3-6
L#3 DoublesChris Klein / Elisa Zusman vs Melissa Held / Timothy Schmeltz5-7, 3-6
2021-11-06vs NITA E 80MX40a TAM (Marberry/Sung)Split 11
L#2 DoublesBela Starkman / William Strickley vs Lesley Seeger / SEAN YANG2-6, 2-6
W#3 DoublesRochelle Meng / Alex Paz vs N/A6-0, 6-0
2021-10-24Won 10
W#3 DoublesSue Christianson / William Strickley vs N/A6-0, 6-0
2021-09-18vs NITA E 80MX40a TAM (Marberry/Sung)Lost 02
L#2 DoublesSophia Koliatsis / Mark Juhl vs Paul Leonardo / Lesley Seeger2-6, 2-6
L#3 DoublesJulie Alexander / Alex Paz vs Lisa Hans / Bruce Thornquist1-6, 3-6
2021-09-12Won 30
W#1 DoublesRochelle Meng / Scott Smith vs N/A6-0, 6-0
W#2 DoublesBela Starkman / Mark Juhl vs N/A6-0, 6-0
W#3 DoublesSue Christianson / Brad Schulman vs N/A6-0, 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 standings4 teams · NITA ESL 40 & Over 8.0 Mixed
TeamWLInd. WInd. LSets lostGames lost
1NITA E 80MX40a TAM (Marberry/Sung)6218614118
2NITA E 80MX40b Midtown AC (Meng/Smith)35101429181
3NITA E 80MX40d Naperville TC (Podwika)3581632221
4WITHDREW NITA E 80MX40c TAM (Aguayo)000000

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 3.44 estimated across 10 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.

3.83
Bela Starkman
usually #2 Doubles 100% · published 4
3.75
Sophia Koliatsis
usually #2 Doubles 33%, also #3 Doubles 33% · published 4
3.73
Barry Marks
published 4
3.61
Rochelle Meng
usually #1 Doubles 33%, also #3 Doubles 33% · published 4
3.40
Mark Juhl
published
3.40
Sue Christianson
usually #3 Doubles 100% · published 3.5
3.32
Laurie Sandman
usually #2 Doubles 100% · published 3.5
3.29
Rosemary Wheeler
usually #2 Doubles 100% · published 3.5
Alex Paz
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
Brad Schulman
published 3.5
3.20
Elisa Zusman
usually #3 Doubles 100% · published 3.5
2.84
William Strickley
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
GRACE CARDOS
published 3
Jonathan Cooper
published
Julie Alexander
usually #3 Doubles 100% · published
Mary Marks
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.

Sophia Koliatsis + William Strickley5446% games−7.9% vs expected
Mary Marks + Barry Marks4356% gamesnot enough data
Sue Christianson + William Strickley3350% gamesnot enough data
Bela Starkman + William Strickley134 matchesnot enough data
Elisa Zusman + William Strickley033 matchesnot enough data
Brad Schulman + Rosemary Wheeler213 matchesnot enough data
Rosemary Wheeler + William Strickley123 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
Bela Starkman
183W–164L career · 2 lines in 2022
1%90%9%
3.83
4
Sophia Koliatsis
341W–195L career · 3 lines in 2022
3%95%3%
3.75
4
Barry Marks
35W–31L career · no lines in 2022
4%94%2%
3.73
4
Rochelle Meng
184W–198L career · 3 lines in 2022
20%80%<1%
3.61
Mark Juhl
24W–41L career · no lines in 2022
79%21%<1%
3.40
3.5
Sue Christianson
214W–169L career · 2 lines in 2022
<1%79%21%
3.40
3.5
Laurie Sandman
158W–135L career · 1 line in 2022
1%91%8%
3.32
3.5
Rosemary Wheeler
162W–147L career · 1 line in 2022
1%93%5%
3.29
3.5
Alex Paz
20W–43L career · 3 lines in 2022
not enough data
3.5
Brad Schulman
56W–17L career · no lines in 2022
not enough data
3.5
Elisa Zusman
172W–142L career · 1 line in 2022
6%93%1%
3.20
3
William Strickley
116W–134L career · type A · 2 lines in 2022
<1%89%11%
2.84
3
GRACE CARDOS
13W–16L career · no lines in 2022
not enough data
Jonathan Cooper
16W–17L career · no lines in 2022
not enough data
Julie Alexander
45W–56L career · 1 line in 2022
not enough data
Mary Marks
4W–3L career · no 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.