Teams

MI-Xed-Nielsen

2023 Mixed 40 & Over · 6.0

20 players · average NTRP 3.37 / NORTHWEST WASHINGTON

View scouting list →
Schedule7 played
2023-08-05vs TCSP-Mixed Results-SteckWon 30
W#1 DoublesBryan Goode / Suzanne Vannatter vs Kristen Modie / James Modie6-2, 7-6
W#2 DoublesChenyang Li / Danica Knievel vs Geeta McCormack / Michael Manwaring6-1, 6-4
W#3 DoublesCatherine Nielsen / Subu Sankara Subramanian vs Jeff Au-Yeung / Jesenka Berberovich6-4, 6-3
2023-07-29vs PL-Aces & Lobs-KhullarWon 30
W#1 DoublesMeijean Walker / Chenyang Li vs Teresa Engrav / Parikshit Kumar6-2, 6-0
W#2 DoublesSella Subramanian / Matthew Zlateff vs Manivel Chandrasekaran / Angela Wang6-4, 6-0
W#3 DoublesJanine Perret / Saurabh Khandelwal vs Mikel Morrow / Charlotte Black7-5, 6-4
2023-07-22vs NWW-PSC-ZhaoLost 03
L#1 DoublesUna Lee / Chenyang Li vs Jasmine Kreizenbeck / Charles Zhang0-6, 2-6
L#2 DoublesJanine Perret / Bryan Goode vs Celia Zhu / Yue Zhao2-6, 3-6
L#3 DoublesVeena Shankaran / Subu Sankara Subramanian vs Lingqing Wang / Li Shen3-6, 4-6
2023-07-09vs WSC-Party at the Net-KrammerWon 30
W#1 DoublesSubu Sankara Subramanian / Sella Subramanian vs Hugo Aponte / Lucy Zhang4-6, 6-4, 1-0
W#2 DoublesLindsay Goode / Bryan Goode vs Eugene Besel / Tammy Besel6-0, 6-1
W#3 DoublesUna Lee / Jonathan Harrington vs Joseph Carter / Haley Neff-LaFord6-3, 6-3
2023-07-01vs AYTC-Cosy's Deuce-MaLost 12
W#1 DoublesJames Hua / Christina Hua vs Meg Viera / Remi Dargent4-6, 6-4, 1-0
L#2 DoublesSuzanne Vannatter / Jeremy Knievel vs Rebecca Zimmer / Christopher Ma5-7, 2-6
L#3 DoublesMina Laban / Saurabh Khandelwal vs Amy Morse / Robert Arnesen2-6, 0-6
2023-06-24vs BETC-RuthWon 30
W#1 DoublesSubu Sankara Subramanian / Una Lee vs Sangwoo Han / Jeonghae Park6-0, 6-2
W#2 DoublesJames Hua / Christina Hua vs Jeff Dabbs / Lara Dabbs6-3, 6-2
W#3 DoublesLindsay Goode / Bryan Goode vs Chen Hsu / Junghee Kim6-0, 6-3
2023-06-18vs ETC-Box 6.0 WhiteWon 21
L#1 DoublesMeijean Walker / Jonathan Harrington vs Akiko Koyama / Soon Kwon1-6, 6-2, 0-1
W#2 DoublesCatherine Nielsen / Matthew Zlateff vs Olga Moshchuk / Alexander Moshchuk6-3, 7-5
W#3 DoublesDanica Knievel / Jeremy Knievel vs Lana Dunsmore / Mac Pinski6-0, 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 standings30 teams · 6.0
TeamWLInd. WInd. LSets lostGames lost
1NWW-PSC-Zhao702014109
2NWW-WSC-Acuario6117410153
3TCSP-Love-All-Hardie6116513142
4BC-Doubles 2 Love-Sedghinasab6115613145
5CP-Yours!!! Allison5216511133
6MI-Xed-Nielsen5215614150
7BETC-Shutt5216514145
8PSC-Rogal-Petriuc5215614145
9ETC-Box 6.0 Red5215616154
10EDG-Livin on the EDG-Rochford5212921185
11PL-Swinger Lickin' Good-Wood5212924191
12ETC-Holmgren4313821175
13TCSP-First One In-Williams43111024200
14AYTC-Cosy's Deuce-Ma43101126201
15TCSP-Mixed Results-Steck4391227200
16MC-Elim MX3412921188
17BC-Underwood3491224183
18PL-In It To Spin It-Tang/Chou34101125184
19PSC-Beastside-Jacobson2581328210
20ETC-Box 6.0 White2581328202
21PL-Aces & Lobs-Khullar2571429208
22WSC-Ad-In-Adventures 6.0 Mxd40-Buck2571430220
23TCSP-Spain2551633221
24CAC/SL-Greatest Hits-Stark2541736233
25MI-Versteeg1551327195
26PSC-Onu1551328185
27BETC-Ruth1661532223
28FC-Salt & Pepper-Gaipal1651635228
29CAC/SL-Big Swingers-O'Rourke1641735232
30BTA-All Mixed Up-Gerard0721938237

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 3.01 estimated across 17 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.

3.72
Sella Subramanian
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.43
Christina Hua
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.32
Janine Perret
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.30
Una Lee
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.26
Subu Sankara Subramanian
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
Morgan Shook
published 3.5
3.23
Matthew Zlateff
usually #2 Doubles 57%, also #1 Doubles 43% · published 3.5
3.16
Chenyang Li
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.15
Meijean Walker
usually #1 Doubles 100% · published 3.5
3.15
Danica Knievel
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
2.97
Bryan Goode
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
2.84
Suzanne Vannatter
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.78
Lindsay Goode
usually #3 Doubles 50%, also #2 Doubles 50% · published
Saurabh Khandelwal
usually #3 Doubles 100% · published 3
2.65
James Hua
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.62
Veena Shankaran
usually #3 Doubles 100% · published 3
2.58
Mina Laban
usually #3 Doubles 100% · published
2.57
Jeremy Knievel
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.39
Catherine Nielsen
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
Jonathan Harrington
usually #3 Doubles 50%, also #1 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.

Sella Subramanian + Subu Sankara Subramanian15465% games+10.8% vs expected
Bryan Goode + Lindsay Goode7457% games+8.1% vs expected
Jeremy Knievel + Danica Knievel7553% games+6.4% vs expected
Christina Hua + James Hua4253% gamesnot enough data
Veena Shankaran + Saurabh Khandelwal4252% gamesnot enough data
Meijean Walker + Chenyang Li123 matchesnot enough data
Subu Sankara Subramanian + Catherine Nielsen213 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
Sella Subramanian
127W–42L career · 4 lines in 2023
6%92%2%
3.72
3.5
Christina Hua
48W–28L career · 2 lines in 2023
<1%68%32%
3.43
3.5
Janine Perret
85W–35L career · 2 lines in 2023
1%89%10%
3.32
3.5
Una Lee
68W–34L career · 3 lines in 2023
2%91%7%
3.30
3.5
Subu Sankara Subramanian
82W–50L career · 6 lines in 2023
3%93%4%
3.26
3.5
Morgan Shook
49W–29L career · no lines in 2023
not enough data
3.5
Matthew Zlateff
143W–79L career · 7 lines in 2023
5%92%3%
3.23
3.5
Chenyang Li
37W–47L career · 3 lines in 2023
13%87%1%
3.16
3.5
Meijean Walker
48W–32L career · 2 lines in 2023
14%86%1%
3.15
3.5
Danica Knievel
52W–34L career · 2 lines in 2023
15%85%1%
3.15
3
Bryan Goode
36W–30L career · 4 lines in 2023
<1%59%41%
2.97
3
Suzanne Vannatter
39W–30L career · 2 lines in 2023
1%86%13%
2.84
Lindsay Goode
17W–11L career · 2 lines in 2023
2%92%6%
2.78
3
Saurabh Khandelwal
9W–8L career · type S · 2 lines in 2023
not enough data
James Hua
24W–31L career · 2 lines in 2023
14%85%1%
2.65
3
Veena Shankaran
32W–39L career · 1 line in 2023
19%80%<1%
2.62
Mina Laban
17W–16L career · 1 line in 2023
28%72%<1%
2.58
Jeremy Knievel
26W–28L career · 2 lines in 2023
30%70%<1%
2.57
3
Catherine Nielsen
33W–51L career · 2 lines in 2023
78%22%<1%
2.39
Jonathan Harrington
8W–25L career · 2 lines in 2023
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.