Teams

NITA W 80MX18a Five Star (Madhavan)

2022 NITA2 Winter Mixed 18 & Over · NITA Winter 18 & Over 8.0 Mixed

20 players · average NTRP 3.78 / 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 →
Schedule12 played
L#1 DoublesCharlie Turri / Dorothy OMalley vs John Laurx / Debbi Landorf2-6, 2-6
L#2 DoublesFranklin Ko / Ann Ko vs Derek Wong / Marilyn Tansey2-6, 3-6
2022-04-03Won 20
W#1 DoublesRakesh Nigudkar / Dorothy OMalley vs N/A6-0, 6-0
W#2 DoublesRick Jett / Ann Ko vs N/A6-0, 6-0
2022-03-25Won 10
W#1 DoublesRick Jett / Amy Harper vs N/A6-0, 6-0
L#1 DoublesCarole Liang / Rakesh Nigudkar vs Carlos Flores / Ana Chang3-6, 4-6
W#2 DoublesDorothy OMalley / Kenneth Scaliatine vs Colleen Chionis / Jazz Burks6-4, 5-6, 1-0
L#3 DoublesSteve Timmer / Susan DiMagno vs Dimitrina Schoyer / JASON SCHICKERLING6-3, 1-6, 0-1
L#1 DoublesRahul Wagh / Laurie Schick vs Debbi Landorf / Deniz Karacay0-6, 1-6
L#2 DoublesThekkepat Harish Madhavan / Gai Truong vs Charles Schinzer / Heather Stenmark2-6, 2-6
L#3 DoublesKyle Berry / Ann Ko vs Marilyn Tansey / Derek Wong1-6, 3-6
L#1 DoublesRakesh Nigudkar / Dorothy OMalley vs Carlos Flores / Ana Chang4-6, 3-6
L#2 DoublesKenneth Scaliatine / Laurie Schick vs Aaron Cross / Zanobia Syed3-6, 3-6
L#1 DoublesRick Jett / Gai Truong vs Rafael Lozada / Debbie Ackerman3-6, 1-6
L#2 DoublesLaurie Schick / Tam Tran vs Colleen Chionis / Carlos Flores0-6, 4-6
L#3 DoublesKyle Berry / Ann Ko vs Thomas Strickler / Ngozi Ezike7-6, 5-6, 0-1
L#1 DoublesRahul Wagh / Amy Harper vs Carlos Alcantar / Sylwia Rakauskas1-6, 2-6
W#2 DoublesKyle Berry / Ann Ko vs Jeff Fortier / Wendy Pochocki6-2, 6-4
W#3 DoublesRakesh Nigudkar / Gai Truong vs Terrence Stewart / Valerie Collopy4-6, 6-0, 1-0
L#1 DoublesTam Tran / Laurie Schick vs Ana Chang / Rafael Lozada2-6, 7-5, 0-1
W#2 DoublesCharlie Turri / Nikki Rivera vs Ayah Kamel / Thomas Strickler6-2, 1-6, 1-0
L#3 DoublesFranklin Ko / Ann Ko vs Carlos Flores / Tricia Dziabis4-6, 1-6
L#1 DoublesDorothy OMalley / Kenneth Scaliatine vs Julie Rusin / Kevin Podwika2-6, 2-6
L#2 DoublesSusan DiMagno / Steve Timmer vs Debbi Landorf / Krishna Krupal2-6, 5-7
L#3 DoublesAmy Harper / Andrzej Harmata vs Marilyn Tansey / Craig Berry3-6, 2-6
L#1 DoublesCharlie Turri / Gai Truong vs Deniz Karacay / Melissa Held2-6, 2-6
W#2 DoublesTam Tran / Laurie Schick vs John Laurx / Debbi Landorf2-6, 6-4, 1-0
W#3 DoublesThekkepat Harish Madhavan / Nikki Rivera vs Anthony Noti / Marilyn Tansey7-6, 6-4
L#1 DoublesDorothy OMalley / Rahul Wagh vs Sylwia Rakauskas / Carlos Alcantar4-6, 3-6
W#2 DoublesNikki Rivera / Kenneth Scaliatine vs Amy Tyree / Terrence Stewart6-4, 6-1
W#3 DoublesAmy Harper / Andrzej Harmata vs Jennifer McClelland / Mick Brennan6-3, 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 standings4 teams · NITA Winter 18 & Over 8.0 Mixed
TeamWLInd. WInd. LSets lostGames lost
1NITA W 80MX18c Naperville TC (Podwika)10230616198
2NITA W 80MX18b River Trails (Miller)93231330260
3NITA W 80MX18a Five Star (Madhavan)57152146310
4NITA W 80MX18d Oak Lawn RC (Laylo/Gaynor)01243265406

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 3.63 estimated across 13 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.

4.32
Susan DiMagno
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.81
3.75
Ann Ko
usually #3 Doubles 60%, also #2 Doubles 40% · published 4
3.74
Charlie Turri
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.70
Thekkepat Harish Madhavan
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.66
Kenneth Scaliatine
usually #2 Doubles 75%, also #1 Doubles 25% · published
3.60
Dorothy OMalley
usually #1 Doubles 83%, also #2 Doubles 17% · published 4
3.54
Rahul Wagh
usually #1 Doubles 100% · published
3.52
Nikki Rivera
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.50
Carole Liang
usually #1 Doubles 100% · published 4
3.48
Rakesh Nigudkar
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.37
Rick Jett
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
Amy Harper
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
Bob King
published 3.5
Franklin Ko
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.17
Laurie Schick
usually #2 Doubles 60%, also #1 Doubles 40% · published
Kyle Berry
usually #3 Doubles 67%, also #2 Doubles 33% · published
Richard McNeel
published
Stephanie McNeel
published
Steve Timmer
usually #3 Doubles 50%, also #2 Doubles 50% · 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.

Franklin Ko + Ann Ko71445% games+7.2% vs expected
Ann Ko + Thekkepat Harish Madhavan7261% games+7.1% vs expected
Charlie Turri + Beverly Paperiello8654% games+2.1% vs expected
Stephanie McNeel + Richard McNeel171451% gamesnot enough data
Ann Ko + Rick Jett2440% gamesnot enough data
Nikki Rivera + Thekkepat Harish Madhavan2345% gamesnot enough data
Ann Ko + Rakesh Nigudkar404 matchesnot enough data
Nikki Rivera + Charlie Turri123 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.

Susan DiMagno
91W–66L career · 2 lines in 2022
1%91%9%
4.32
4
Beverly Paperiello
20W–16L career · no lines in 2022
1%92%8%
3.81
4
Ann Ko
96W–154L career · 5 lines in 2022
3%95%3%
3.75
4
Charlie Turri
150W–125L career · 3 lines in 2022
3%94%2%
3.74
Thekkepat Harish Madhavan
76W–72L career · 2 lines in 2022
7%92%1%
3.70
Kenneth Scaliatine
55W–61L career · 4 lines in 2022
10%89%<1%
3.66
4
Dorothy OMalley
173W–204L career · 6 lines in 2022
22%78%<1%
3.60
Rahul Wagh
37W–67L career · 3 lines in 2022
38%62%<1%
3.54
Nikki Rivera
42W–40L career · 3 lines in 2022
44%56%<1%
3.52
4
Carole Liang
34W–73L career · 1 line in 2022
51%49%<1%
3.50
Rakesh Nigudkar
66W–63L career · 3 lines in 2022
56%44%<1%
3.48
3.5
Rick Jett
127W–97L career · 3 lines in 2022
<1%84%15%
3.37
3.5
Amy Harper
29W–50L career · 3 lines in 2022
not enough data
3.5
Bob King
63W–40L career · no lines in 2022
not enough data
3.5
Franklin Ko
23W–26L career · type M · 2 lines in 2022
not enough data
Laurie Schick
28W–50L career · 5 lines in 2022
9%90%1%
3.17
Kyle Berry
25W–43L career · 3 lines in 2022
not enough data
Richard McNeel
18W–14L career · no lines in 2022
not enough data
Stephanie McNeel
59W–33L career · no lines in 2022
not enough data
Steve Timmer
13W–25L 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.