Teams

BP RED

2022 TRIO - DEN · WOMEN 3.0 - TRIO

7 players · average NTRP 3.00 / COLORADO

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 →
Schedule3 played
2022-04-09vs GTC BLUELost 03
L#1 DoublesLaura Read / Emily Adams vs Brooke Webb / Stephanie Baur3-6, 4-6
L#1 SinglesJJ Wagner vs Tae Rice-Schlesinger5-7, 1-6
L#2 DoublesLisa Hoogendoorn Daniel / Angela Martin vs Cyndie Miller / Justine McKinzie4-6, 4-6
2022-04-02vs DTC SILVERLost 03
L#1 DoublesJJ Wagner / Yun Li vs Sarah Hart / Kimberly Montgomery2-6, 3-6
L#1 SinglesLisa Hoogendoorn Daniel vs Elisabeth Vezzani0-6, 2-6
L#2 DoublesErin Heltshe / Angela Martin vs Sheila Tsai / Elaina Grauer0-6, 1-6
2022-03-19vs GTC NAVYLost 12
W#1 DoublesNancy Zhong / Angela Martin vs Crystal Cobb / Sara Springer6-2, 6-2
L#1 SinglesErin Heltshe vs Jill St. John3-6, 4-6
L#2 DoublesYun Li / Laura Read vs Leah Johnson / Julie Woodle1-6, 4-6
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 standings for WOMEN 3.0 - TRIO 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 2.93 estimated across 7 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.

3.49
Laura Read
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.09
Angela Martin
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
3.02
Yun Li
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.81
Nancy Zhong
usually #1 Doubles 100% · published
2.74
JJ Wagner
usually #1 Doubles 50%, also #1 Singles 50% · published 3
2.73
Erin Heltshe
usually #1 Singles 50%, also #2 Doubles 50% · published 3
2.66
Lisa Hoogendoorn Daniel
usually #2 Doubles 50%, also #1 Singles 50% · published 3
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.

Angela Martin + Nancy Zhong4159% games+11.1% vs expected
Angela Martin + Lisa Hoogendoorn Daniel6260% games+9.0% vs expected
Erin Heltshe + JJ Wagner4254% games+8.3% vs expected
Erin Heltshe + Angela Martin4251% games+2.6% vs expected
JJ Wagner + Angela Martin6544% games−13.1% vs expected
Laura Read + Angela Martin404 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.

Laura Read
59W–25L career · 2 lines in 2022
<1%54%46%
3.49
3
Angela Martin
63W–40L career · 3 lines in 2022
<1%25%75%
3.09
Yun Li
21W–14L career · 2 lines in 2022
<1%45%55%
3.02
Nancy Zhong
32W–19L career · 1 line in 2022
1%92%7%
2.81
3
JJ Wagner
68W–56L career · 2 lines in 2022
3%95%2%
2.74
3
Erin Heltshe
42W–50L career · 2 lines in 2022
4%94%2%
2.73
3
Lisa Hoogendoorn Daniel
26W–34L career · 2 lines in 2022
11%89%<1%
2.66

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.