Teams

Westside - Lai

2022 Alachua Mixed 18 & Over · 7.0 Mixed 18 & Over

9 players · average NTRP 3.50 / REGION_2

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Schedule7 played
2022-08-26vs Westside - PaulyWon 10
W#3 DoublesPaula Rios-Glusberger / Kewei Xu vs Enrique Vargas / Camille Pauly6-3, 6-1
2022-08-21vs JTC - LancasterLost 01
L#1 DoublesJennifer Bogle / Jixiu Shan vs Richard Russin / Alicia Pfahler4-6, 2-6
2022-08-18vs JTC - SchaferLost 02
L#2 DoublesXiaoping Zhang / Heather Adkins vs Jigisha Shah / Ed Stark3-6, 4-6
L#3 DoublesMichelle Burns / Jian Pu vs Marlene Townsend / Michael Tooke2-6, 4-6
2022-08-14vs ALACHUA/BromirskiWon 10
W#3 DoublesJian Pu / Shuhong Han vs TARA BROMIRSKI / Robert Tangeman7-5, 6-2
2022-08-12vs JTC - MadorskySplit 11
L#1 DoublesJixiu Shan / Jennifer Bogle vs Melissa Morris / Anghelo Gangano5-7, 0-6
W#2 DoublesHeather Adkins / Xiaoping Zhang vs Irina Madorsky / Brent Sumerlin7-6, 6-2
2022-07-31vs JTC - ZaldivarLost 02
L#1 DoublesXiaoping Zhang / Heather Adkins vs Christopher Bumgarner / Yaramarie Munoz5-7, 6-7
L#3 DoublesMichelle Burns / Jian Pu vs Maria Zaldivar / Jackson Songayab6-3, 6-7, 0-1
2022-07-29vs HCC Orange Team - CoxWon 10
W#2 DoublesKewei Xu / Paula Rios-Glusberger vs Subramanyam Pasumarti / Vinata Vedam-Mai6-3, 6-3
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 standings for 7.0 Mixed 18 & Over have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.16 estimated across 9 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.

3.40
Heather Adkins
usually #1 Doubles 50%, also #2 Doubles 33% · published 3.5
3.37
Guanghua Yan
published 3.5
3.31
Song Lai
published
3.22
Xiaoping Zhang
published
3.10
Kewei Xu
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.07
Michelle Burns
published
3.06
Jian Pu
usually #3 Doubles 100% · published 3.5
3.00
Jennifer Bogle
usually #1 Doubles 100% · published
2.94
Jixiu Shan
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.

Jennifer Bogle + Jian Pu033 matchesnot enough data
Kewei Xu + Heather Adkins213 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.

3.5
Heather Adkins
116W–111L career · 6 lines in 2022
<1%78%21%
3.40
3.5
Guanghua Yan
4W–3L career · no lines in 2022
<1%85%15%
3.37
Song Lai
3W–2L career · no lines in 2022
1%92%7%
3.31
Xiaoping Zhang
1W–5L career · no lines in 2022
5%94%2%
3.22
3.5
Kewei Xu
53W–44L career · 2 lines in 2022
22%78%<1%
3.10
Michelle Burns
26W–9L career · no lines in 2022
<1%29%71%
3.07
3.5
Jian Pu
103W–117L career · 3 lines in 2022
32%67%<1%
3.06
Jennifer Bogle
34W–86L career · 2 lines in 2022
<1%50%50%
3.00
Jixiu Shan
8W–7L career · no lines in 2022
<1%69%31%
2.94

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.