Teams

Better Call Out

Mixed 18 & Over - Fall · 7.0 Mixed Doubles

13 players · average NTRP 3.67 / PHILADELPHIA

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Schedule7 played
2024-10-19vs Honey DeucesWon 20
W#1 DoublesAnnette Borst / Oliver Yu vs Krista McGrath / Anand Venkatachalam3-6, 6-3, 1-0
W#2 DoublesYanhong Feng / David Stevenson vs Jason Dale / Amy Fritsch7-5, 6-3
2024-10-12vs GCC 7.0 Mixed - FallLost 03
L#1 DoublesSha Ha / Oliver Yu vs Michelle Kirsch / Finn Klemann3-6, 6-4, 1-0
L#2 DoublesYanhong Feng / David Stevenson vs Michael Mullen / Rebecca Devine4-6, 6-0, 0-1
L#3 DoublesShuang Zhao / Ginger McGeer vs Ben Eisen / Jennifer Rogers7-6, 4-6, 0-1
2024-10-05vs Serve Me a DoubleLost 12
L#1 DoublesYingli Yuan / Oliver Yu vs Rachel-Paige Mumenthaler / Matthew Mascaro6-7, 1-3
W#2 DoublesYanhong Feng / David Stevenson vs Donald Archer / Mila Archer5-7, 3-1, 1-0
L#3 DoublesShuang Zhao / Xuemei Li vs William Fehl / Elyse Salek2-6, 2-6
2024-09-28vs UMLY UnitedLost 03
L#1 DoublesAnnette Borst / Oliver Yu vs Wai Chang / Gursharan Kang3-6, 5-7
L#2 DoublesMarie Groncki / Gary Kao vs Marian Inderelst / Ian Monson2-6, 6-4, 0-1
L#3 DoublesXuemei Li / Xiangmin Liao vs Jackie Berry / Chaka Allen3-6, 3-6
2024-09-22vs UMLY UnitedLost 03
L#1 DoublesAnnette Borst / Xiaohai Wang vs Wai Chang / Gursharan Kang1-6, 4-6
L#2 DoublesDavid Stevenson / Sha Ha vs Rohit Gandrakota / Carol DiBari2-6, 3-6
L#3 DoublesXuemei Li / Shuang Zhao vs Jackie Berry / Alexander Pettinos4-6, 5-7
2024-09-21vs Some Strings Attached 7.0Lost 03
L#1 DoublesSha Ha / Xiangmin Liao vs Indrajeet Joglekar / Rian Larkin2-6, 1-6
L#2 DoublesAnnette Borst / David Stevenson vs Aaron Palmer / Naoko Kumagai1-6, 3-6
L#3 DoublesShuang Zhao / Ginger McGeer vs Tim Parrott / Kim England1-6, 5-7
2024-09-14vs Honey DeucesWon 21
W#1 DoublesOliver Yu / Annette Borst vs Donald Pell / Amy Fritsch6-3, 5-7, 1-0
L#2 DoublesMarie Groncki / Xiaohai Wang vs Anand Venkatachalam / Krista McGrath1-6, 1-6
W#3 DoublesDavid Stevenson / Yanhong Feng vs Merri Gardner / O Gardner4-6, 6-1, 1-0
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 standings10 teams · 7.0 Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1Tenacious Topspin1510817131
2PRAC 7.0 - Fall061715112
3Take 2 Fall069921161
4Mix Saturday0671125177
5Serve Me a Double0631530191
6Upper Dubliners0621632200
7GCC 7.0 Mixed - Fall0717412141
8UMLY United0715613168
9Some Strings Attached 7.00714715151
10Better Call Out0751636228

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 3.45 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.

3.66
Shuang Zhao
usually #3 Doubles 83%, also #2 Doubles 17% · published
3.59
Sha Ha
usually #1 Doubles 50%, also #2 Doubles 25% · published 4
3.56
Annette Borst
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.53
Xiaohai Wang
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.50
Xiangmin Liao
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.49
Gary Kao
usually #2 Doubles 100% · published
3.48
Yanhong Feng
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.39
Oliver Yu
usually #1 Doubles 71%, also #2 Doubles 29% · published
3.19
Ginger McGeer
usually #3 Doubles 100% · published
3.09
Marie Groncki
usually #2 Doubles 100% · published
David Stevenson
usually #2 Doubles 83%, also #3 Doubles 17% · published 3
Xuemei Li
usually #3 Doubles 100% · published
Yingli Yuan
usually #1 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.

Xiangmin Liao + Yanhong Feng9651% games+5.2% vs expected
Sha Ha + Shuang Zhao192949% games+0.7% vs expected
Yanhong Feng + Xiaohai Wang3544% gamesnot enough data
Yanhong Feng + Shuang Zhao1440% gamesnot enough data
Sha Ha + Xiaohai Wang2346% gamesnot enough data
Yanhong Feng + David Stevenson314 matchesnot enough data
Yingli Yuan + Shuang Zhao224 matchesnot enough data
Annette Borst + Oliver Yu213 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.

Shuang Zhao
63W–93L career · 6 lines in 2025
13%86%1%
3.66
4
Sha Ha
104W–100L career · 4 lines in 2025
25%75%<1%
3.59
4
Annette Borst
70W–56L career · 5 lines in 2025
34%65%<1%
3.56
Xiaohai Wang
28W–49L career · 2 lines in 2025
42%58%<1%
3.53
Xiangmin Liao
44W–70L career · 2 lines in 2025
49%51%<1%
3.50
Gary Kao
56W–18L career · 1 line in 2025
<1%52%48%
3.49
Yanhong Feng
92W–102L career · 4 lines in 2025
55%45%<1%
3.48
Oliver Yu
54W–50L career · 7 lines in 2025
<1%79%21%
3.39
Ginger McGeer
51W–50L career · 2 lines in 2025
8%90%1%
3.19
Marie Groncki
20W–16L career · 2 lines in 2025
27%73%<1%
3.09
3
David Stevenson
3W–3L career · type M · 6 lines in 2025
not enough data
Xuemei Li
0W–3L career · 3 lines in 2025
not enough data
Yingli Yuan
29W–28L career · 1 line in 2025
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.