Teams

WI Other Tri-Level Delta Mixed NEL GBTC Stasiak

2022 WI Other · WI Other Tri-Level Delta Mixed

15 players · average NTRP 3.60 / WISCONSIN

View scouting list →
Schedule6 played
2022-05-14Split 11
W#1 DoublesNathan Barash / Danielle Morris vs Michelle Vandenberg / Jason Wilkinson6-4, 6-2
L#2 DoublesKyle Oberstadt / Rocky Calawerts vs Amy Addo / Ramesh Kakula3-6, 1-6
2022-05-14Lost 01
L#3 DoublesTracy Scanlan / Jeff Crowell vs Tyler Linscott / Patricia Lison-Sheikh4-6, 0-6
2022-05-01Split 11
W#1 DoublesGino Recchia / Kristin Fencl vs Ivor Addo / Carly van Nuland6-0, 6-1
L#3 DoublesAndy Taylor / Tracy Scanlan vs Tyler Linscott / Patricia Lison-Sheikh4-6, 3-6
L#2 DoublesLucas Mullen / Rocky Calawerts vs Pramod Shinde / Ginna Trowbridge2-6, 4-6
L#1 DoublesNathan Barash / Danielle Morris vs Alex Christianson / Rachel Sawall4-6, 3-6
L#3 DoublesTracy Scanlan / Andy Taylor vs Tyler Linscott / Mary Underhill6-3, 6-7, 0-1
2022-03-06Lost 01
L#1 DoublesNathan Barash / Danielle Morris vs Alex Christianson / Rachel Sawall5-7, 6-7
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 standings2 teams · WI Other Tri-Level Delta Mixed
TeamWLInd. WInd. LSets lostGames lost
1WI Other Tri-Level Delta Mixed NEL Valley Addo6217717192
2WI Other Tri-Level Delta Mixed NEL GBTC Stasiak2671737262

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 3.29 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.

3.90
Danielle Morris
usually #1 Doubles 100% · published 4
3.83
Kaitlyn Jonen
usually #2 Doubles 82%, also #1 Doubles 18% · published
Gino Recchia
usually #1 Doubles 100% · published 4
3.60
Erica Shookman
usually #3 Doubles 83%, also #2 Doubles 17% · published 3.5
3.46
Tom Leggett
usually #1 Doubles 89%, also #3 Doubles 11% · published
3.32
Tracy Scanlan
usually #3 Doubles 100% · published
3.25
Melita Parker
usually #1 Doubles 100% · published
Andy Taylor
usually #3 Doubles 100% · published 3.5
3.14
Kyle Oberstadt
usually #2 Doubles 100% · published
2.99
Rocky Calawerts
usually #2 Doubles 100% · published
2.85
Theresa Palasota
usually #3 Doubles 78%, also #1 Doubles 22% · published
2.59
Jack Palasota
usually #3 Doubles 100% · published 3
Kristin Fencl
usually #1 Doubles 100% · published
Lucas Mullen
usually #2 Doubles 88%, also #1 Doubles 13% · published
Nathan Barash
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.

Kaitlyn Jonen + Erica Shookman20663% games+10.6% vs expected
Lucas Mullen + Andy Taylor4845% games+10.5% vs expected
Erica Shookman + Kyle Oberstadt4556% games+6.4% vs expected
Kaitlyn Jonen + Kyle Oberstadt5452% games+3.2% vs expected
Melita Parker + Erica Shookman2645% games−11.4% vs expected
Melita Parker + Theresa Palasota6549% gamesnot enough data
Tom Leggett + Kaitlyn Jonen4744% gamesnot enough data
Theresa Palasota + Jack Palasota2832% gamesnot 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.

4
Danielle Morris
27W–28L career · 3 lines in 2022
<1%78%21%
3.90
Kaitlyn Jonen
177W–96L career · 11 lines in 2022
1%90%9%
3.83
4
Gino Recchia
27W–10L career · 5 lines in 2022
not enough data
3.5
Erica Shookman
135W–59L career · 6 lines in 2022
<1%22%78%
3.60
Tom Leggett
47W–85L career · 9 lines in 2022
63%37%<1%
3.46
Tracy Scanlan
46W–37L career · 3 lines in 2022
1%91%8%
3.32
Melita Parker
69W–70L career · 12 lines in 2022
2%95%3%
3.25
3.5
Andy Taylor
34W–56L career · 2 lines in 2022
not enough data
Kyle Oberstadt
56W–57L career · 9 lines in 2022
14%86%<1%
3.14
Rocky Calawerts
16W–31L career · 2 lines in 2022
52%48%<1%
2.99
Theresa Palasota
102W–175L career · 9 lines in 2022
<1%87%13%
2.85
3
Jack Palasota
26W–52L career · type S · 7 lines in 2022
25%75%<1%
2.59
Kristin Fencl
11W–13L career · 1 line in 2022
not enough data
Lucas Mullen
31W–43L career · 8 lines in 2022
not enough data
Nathan Barash
114W–68L career · 7 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.