Teams

PL-In It To Spin It-Tang/Chou

2023 Mixed 40 & Over · 6.0

12 players · average NTRP 3.12 / NORTHWEST WASHINGTON

View scouting list →
Schedule7 played
2023-08-05Won 30
W#1 DoublesEloisa Tang / Sherman Tang vs N/A6-0, 6-0
W#2 DoublesConnie Chou / Denvere Yon vs N/A6-0, 6-0
W#3 DoublesThomas Nilsson / Bin Wu vs N/A6-0, 6-0
2023-07-29vs MI-VersteegWon 21
W#1 DoublesEloisa Tang / Sherman Tang vs Marni Seneker / Todd Seneker6-2, 6-3
W#2 DoublesConnie Chou / Denvere Yon vs Emily Norden / Gregory Norden6-1, 6-0
L#3 DoublesMamta Pandey / Thomas Nilsson vs Melissa Saelzer / Geoff Lieberman2-6, 1-6
2023-07-22vs MC-Elim MXWon 21
W#1 DoublesConnie Chou / Denvere Yon vs Jeffrey Hill / Jill LaRosa6-3, 6-3
W#2 DoublesEloisa Tang / Sherman Tang vs Gang Feng / Rita Yang4-6, 6-3, 1-0
L#3 DoublesMamta Pandey / Bojin Li vs Jeong Ham / Jennifer Turner2-6, 6-7
2023-07-16vs EDG-Livin on the EDG-RochfordSplit 11
W#1 DoublesDenvere Yon / Connie Chou vs Ticson MacH / Bessie Chi7-6, 5-7, 1-0
L#2 DoublesArif Murshed / Anca Zaharia vs Paul Moosman / Barbara Smith0-6, 2-6
2023-07-08vs CAC/SL-Greatest Hits-StarkSplit 11
W#1 DoublesSherman Tang / Eloisa Tang vs Carl Nielsen / Lee Darrow6-4, 6-3
L#3 DoublesArif Murshed / Anca Zaharia vs Annie Kuang / Mark Seko7-5, 2-6, 0-1
2023-07-02vs NWW-WSC-AcuarioLost 12
L#1 DoublesDenvere Yon / Connie Chou vs Mabel Tang / Jason Buchanan5-7, 2-6
W#2 DoublesEloisa Tang / Sherman Tang vs Jeff King / Seow-Ling Chua6-3, 6-7, 1-0
L#3 DoublesBojin Li / Bin Wu vs Galya Kirstine / Blake Kirstine0-6, 0-6
2023-06-24vs TCSP-Love-All-HardieLost 03
L#1 DoublesDenvere Yon / Connie Chou vs Nicole Hardie / Ryan Hardie2-6, 0-6
L#2 DoublesSherman Tang / Eloisa Tang vs Jeremy Jones / Daisy Cullop3-6, 6-4, 0-1
L#3 DoublesArif Murshed / Mamta Pandey vs Adam Sherr / Karen Dixon0-6, 1-6
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 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 2.80 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.

3.51
Sherman Tang
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.45
Denvere Yon
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
2.88
Bojin Li
usually #3 Doubles 100% · published 3
2.74
Connie Chou
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.71
Sameer Karnik
published
2.67
Eloisa Tang
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.67
Arif Murshed
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.57
Thomas Nilsson
usually #3 Doubles 100% · published 3
2.39
Anca Zaharia
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.38
Mamta Pandey
usually #3 Doubles 100% · published
Bin Wu
usually #3 Doubles 100% · published 0
Inger Karker
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.

Connie Chou + Denvere Yon15462% games+12.9% vs expected
Eloisa Tang + Sherman Tang14956% games+7.6% vs expected
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.

3.5
Sherman Tang
113W–56L career · 6 lines in 2023
<1%48%52%
3.51
3.5
Denvere Yon
96W–39L career · 6 lines in 2023
<1%64%36%
3.45
3
Bojin Li
70W–26L career · 2 lines in 2023
<1%81%19%
2.88
3
Connie Chou
59W–31L career · 6 lines in 2023
4%93%3%
2.74
Sameer Karnik
29W–26L career · no lines in 2023
7%91%2%
2.71
3
Eloisa Tang
53W–43L career · 6 lines in 2023
11%88%1%
2.67
3
Arif Murshed
6W–20L career · 3 lines in 2023
12%87%1%
2.67
3
Thomas Nilsson
25W–20L career · 2 lines in 2023
32%68%<1%
2.57
3
Anca Zaharia
30W–46L career · 2 lines in 2023
78%22%<1%
2.39
Mamta Pandey
13W–23L career · 3 lines in 2023
81%19%<1%
2.38
0
Bin Wu
1W–2L career · 2 lines in 2023
not enough data
Inger Karker
2W–8L career · no 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.