Teams

Tri AVB Hendricks

2022 NEOTA Tri-Level A · NEOTA Women's Tri-Level

14 players · average NTRP 3.83 / NORTHEASTERN OHIO

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 →
Schedule4 played
2022-02-04vs Tri WR O'DonnellWon 30
W#1 DoublesJane Moose / Hannah Morrison vs Liz Clark / Miki Nakamoto6-2, 6-2
W#2 DoublesPamela Steinhauser / Brenda Kekel vs Beth Schwartz / Courtney Foster6-3, 6-3
W#3 DoublesDina Hopps / Kasey Bland vs Brittney Kohanski / Carole Sanderson5-7, 7-5, 1-0
2022-01-28vs Tri CC CahillWon 21
L#1 DoublesHannah Morrison / Summer Wise vs Dianne Fowler / Beth Smith6-4, 5-7, 0-1
W#2 DoublesPamela Steinhauser / Brenda Kekel vs Yvonne Vann / Danielle Simpson6-3, 6-3
W#3 DoublesDina Hopps / Kasey Bland vs Marnie Walcutt / Deborah Rachek5-7, 6-3, 1-0
2022-01-21vs Tri WE NiehenkeLost 12
L#1 DoublesMegan Bryan / Summer Wise vs Erica Richardson / Katie Allan4-6, 2-6
W#2 DoublesAMY HENDRICKS / Megan Kaleel vs Elaine Niehenke / Sandra Dively6-2, 6-3
L#3 DoublesMeredythe McNally / Carla Elenz vs Nadia Wearsch / Alison Lee6-7, 6-7
2022-01-14vs Tri AO BartramWon 30
W#1 DoublesJane Moose / Megan Bryan vs Beatriz Lopez / Lauren Castagnero5-7, 7-5, 1-0
W#2 DoublesAMY HENDRICKS / Megan Kaleel vs Irene Slattery / Stacey Varuolo6-4, 7-5
W#3 DoublesDina Hopps / Kasey Bland vs Amy Grace / Karen Kneiss6-7, 6-4, 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 standings5 teams · NEOTA Women's Tri-Level
TeamWLInd. WInd. LSets lostGames lost
1Tri AVB Hendricks319310113
2Tri WE Niehenke226612112
3Tri CC Cahill22661495
4Tri WR O'Donnell225717135
5Tri AO Bartram134819135

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 3.59 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.

3.88
Jane Moose
usually #1 Doubles 100% · published
3.79
Hannah Morrison
usually #1 Doubles 100% · published 4
3.73
Brenda Kekel
usually #2 Doubles 100% · published 4
3.70
AMY HENDRICKS
usually #2 Doubles 100% · published 4
3.67
Summer Wise
usually #1 Doubles 100% · published
3.50
Kasey Bland
usually #3 Doubles 100% · published
3.46
Bianca Collins
published 4
3.36
Pamela Hudson
published
Carla Elenz
usually #3 Doubles 100% · published 3.5
3.22
Dina Hopps
usually #3 Doubles 100% · published 3.5
Megan Bryan
usually #1 Doubles 100% · published
Megan Kaleel
usually #2 Doubles 100% · published
Meredythe McNally
usually #3 Doubles 100% · published
Pamela Steinhauser
usually #2 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.

Hannah Morrison + Bianca Collins6552% games+10.0% vs expected
Jane Moose + Brenda Kekel12464% games+9.7% vs expected
Megan Kaleel + Hannah Morrison5159% games+8.2% vs expected
Brenda Kekel + Dina Hopps8067% games+8.2% vs expected
Pamela Steinhauser + Brenda Kekel8359% games+7.4% vs expected
Kasey Bland + AMY HENDRICKS6255% games+6.7% vs expected
Megan Kaleel + AMY HENDRICKS19466% games+3.7% vs expected
Dina Hopps + Carla Elenz7452% games+2.9% 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.

Jane Moose
103W–73L career · 2 lines in 2022
<1%81%19%
3.88
4
Hannah Morrison
45W–17L career · 2 lines in 2022
1%93%5%
3.79
4
Brenda Kekel
75W–28L career · 2 lines in 2022
4%94%2%
3.73
4
AMY HENDRICKS
46W–22L career · 2 lines in 2022
6%93%1%
3.70
Summer Wise
88W–34L career · 2 lines in 2022
9%90%1%
3.67
Kasey Bland
74W–25L career · 3 lines in 2022
<1%51%49%
3.50
4
Bianca Collins
51W–70L career · no lines in 2022
61%39%<1%
3.46
Pamela Hudson
48W–60L career · no lines in 2022
<1%86%14%
3.36
3.5
Carla Elenz
27W–75L career · 1 line in 2022
not enough data
3.5
Dina Hopps
153W–106L career · 3 lines in 2022
5%94%2%
3.22
Megan Bryan
44W–30L career · 2 lines in 2022
not enough data
Megan Kaleel
58W–16L career · 2 lines in 2022
not enough data
Meredythe McNally
50W–26L career · 1 line in 2022
not enough data
Pamela Steinhauser
41W–42L career · 2 lines in 2022
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.