Teams

Hazelrigg

2023 Neb. Adult 18&Over Tri-Level 3.5-4.5 · 3.5

13 players · average NTRP 3.80 / NEBRASKA

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 →
Schedule6 played
2023-09-27vs We Tri HarderLost 12
L#1 DoublesHolly Christoffels / Denise Hazelrigg vs Shannon Dombrowski / Sara McArdle1-6, 4-6
L#2 DoublesShelly Grote / Noelle Wegiel vs Lee Cooney / Elizabeth Flood2-6, 6-7
W#3 DoublesKasey Hesse / Amy Studts vs Kylie Hansen / Sara Dettmer6-4, 7-5
2023-09-20vs NEWC/Churchill/Tri-Level3.5-4.5WSplit 11
L#1 DoublesDenise Hazelrigg / Sarah McGowan vs Shannon Churchill / Tami Bourland1-6, 4-6
W#2 DoublesFae Sterba / Terri Fuxa vs Kelly Jeffreys / Debra Adams6-4, 4-6, 1-0
2023-09-13vs NE/Allison/Tri Level3.5-4.5WLost 02
L#2 DoublesFae Sterba / Noelle Wegiel vs Jennifer Rich / Rachel Southard2-6, 1-6
L#3 DoublesJordan Leeds / Erin Giannangelo vs Elizabeth Kingston / Savannah Maisel2-6, 2-6
2023-09-06vs JorgensenWon 21
W#1 DoublesHolly Christoffels / Sarah McGowan vs Kerry Brown / Diane Porter6-4, 6-2
L#2 DoublesNoelle Wegiel / Katie Cordery vs Tory Jorgensen / Jennifer Lindner7-5, 4-6, 0-1
W#3 DoublesAmy Studts / Erin Giannangelo vs Barbara Spomer / Yasuko Wakuzawa6-4, 6-4
2023-08-30vs Tong/ZebrowskiLost 12
L#1 DoublesNoelle Wegiel / Sarah McGowan vs Lindsay Clayton / Jennifer Zientarski0-6, 2-6
L#2 DoublesJessica Shefsky / Terri Fuxa vs Erica Herrera / Karen Andresen5-7, 1-6
W#3 DoublesAmy Studts / Katie Cordery vs Francesca Farwell / Kersten Higgins6-3, 6-3
2023-08-16vs SwansonLost 12
W#1 DoublesJessica Shefsky / Denise Hazelrigg vs Atsuko Christensen / Victoria Leigh Glesmann2-6, 6-1, 1-0
L#2 DoublesShelly Grote / Fae Sterba vs Brita Swanson / Sheryl Vaughn2-6, 2-6
L#3 DoublesKasey Hesse / Jordan Leeds vs Linda Meuret / Kim Foral1-6, 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 standings9 teams · 3.5
TeamWLInd. WInd. LSets lostGames lost
1Tegler62141023215
2NE/Allison/Tri Level3.5-4.5W511449117
3Tong/Zebrowski5114412142
4NEWC/Churchill/Tri-Level3.5-4.5W5114412140
5Patrick/Mandigo5315921207
6We Tri Harder3381023184
7Hazelrigg1561226192
8Wain1771737255
9Jorgensen0621633204

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 3.54 estimated across 12 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.

4.00
Katie Cordery
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.91
Jessica Shefsky
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.73
Holly Christoffels
usually #1 Doubles 100% · published 4
3.72
Denise Hazelrigg
usually #1 Doubles 100% · published 4
3.62
Sarah McGowan
usually #1 Doubles 100% · published
3.53
Amy Studts
usually #3 Doubles 100% · published 4
3.51
Terri Fuxa
usually #2 Doubles 100% · published
3.49
Fae Sterba
usually #2 Doubles 100% · published 4
3.44
Noelle Wegiel
usually #2 Doubles 75%, also #1 Doubles 25% · published
3.38
Shelly Grote
usually #2 Doubles 100% · published
3.38
Kasey Hesse
usually #3 Doubles 100% · published
2.82
Erin Giannangelo
usually #3 Doubles 100% · published 3
Jordan Leeds
usually #3 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.

Holly Christoffels + Denise Hazelrigg23861% games+8.5% vs expected
Denise Hazelrigg + Fae Sterba7557% games+8.1% vs expected
Noelle Wegiel + Denise Hazelrigg3544% games+7.0% vs expected
Denise Hazelrigg + Jessica Shefsky4255% games+3.9% vs expected
Denise Hazelrigg + Sarah McGowan6748% games+3.4% vs expected
Holly Christoffels + Fae Sterba5353% games+2.7% vs expected
Amy Studts + Kasey Hesse5652% games+2.5% vs expected
Terri Fuxa + Fae Sterba4450% games+0.9% 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.

Katie Cordery
39W–11L career · 2 lines in 2023
50%50%<1%
4.00
Jessica Shefsky
40W–32L career · 2 lines in 2023
<1%75%25%
3.91
4
Holly Christoffels
66W–51L career · 2 lines in 2023
4%94%2%
3.73
4
Denise Hazelrigg
96W–99L career · 3 lines in 2023
5%94%2%
3.72
Sarah McGowan
23W–24L career · 3 lines in 2023
19%81%<1%
3.62
4
Amy Studts
54W–26L career · 3 lines in 2023
40%60%<1%
3.53
Terri Fuxa
42W–56L career · 2 lines in 2023
46%54%<1%
3.51
4
Fae Sterba
46W–70L career · 3 lines in 2023
52%48%<1%
3.49
Noelle Wegiel
30W–71L career · 4 lines in 2023
68%32%<1%
3.44
Shelly Grote
21W–40L career · 2 lines in 2023
82%18%<1%
3.38
Kasey Hesse
55W–51L career · 2 lines in 2023
<1%82%17%
3.38
3
Erin Giannangelo
27W–17L career · 2 lines in 2023
1%91%8%
2.82
Jordan Leeds
26W–31L career · 2 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.