Teams

LPTC YELLOW

2022 ITA MIXED DOUBLES - DEN · MIXED 5.5 - ITA

12 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 →
Schedule7 played
2022-08-21vs KC REDLost 12
L#1 DoublesNick Hatley / Meegan Miloud vs VIRGINIA WANG / Prosper Wang0-6, 7-5, 0-1
L#2 DoublesKathleen Rimlinger / Frank Rimlinger vs Kelly Fisher / Joe Fisher5-7, 3-6
W#3 DoublesTina Atchley / Stephen Schulte vs Erin Stampa / Mike Hollander6-0, 6-3
2022-08-14vs NJ REDWon 21
L#1 DoublesLaurie Lahnert / Philip Lahnert vs Stephanie Shawn / Jeremy Riggle3-6, 4-6
W#2 DoublesTina Atchley / Stephen Schulte vs Kevin Furlong / Jennifer Davis6-3, 6-4
W#3 DoublesFrank Rimlinger / Kathleen Rimlinger vs Rachel Eng / Jordan Eng6-1, 6-3
2022-08-08vs NJ GREENWon 30
W#1 DoublesLaurie Lahnert / Philip Lahnert vs Deena Green / Bill Green7-6, 6-3
W#2 DoublesStephen Schulte / Michelle Dolin vs Ingrid Palmer / John Russell4-6, 6-2, 1-0
W#3 DoublesRebecca BaanHofman / Cordell BaanHofman vs N/A6-0, 6-0
2022-08-07vs BCST SILVERWon 21
W#1 DoublesTina Atchley / Stephen Schulte vs Leslie Aranjo / Paul Aranjo6-2, 6-3
L#2 DoublesRebecca BaanHofman / Jason Farrar vs Michelle Johnston / Scott Johnston1-6, 2-6
W#3 DoublesFrank Rimlinger / Meegan Miloud vs Kathy Williams / Roger Williams7-6, 6-3
2022-07-31vs RCC GOLDLost 03
L#1 DoublesLaurie Lahnert / Philip Lahnert vs Russell Coppo / Jessica Anderson5-7, 5-7
L#2 DoublesMeegan Miloud / Stephen Schulte vs Tayrien Holocher / Ryan Holocher1-6, 3-6
L#3 DoublesRebecca BaanHofman / Cordell BaanHofman vs Randall Else / Christina Sjolin4-6, 2-6
2022-07-17vs KC REDLost 12
L#1 DoublesMeegan Miloud / Nick Hatley vs Kelly Fisher / Joe Fisher2-6, 3-6
L#2 DoublesRebecca BaanHofman / Cordell BaanHofman vs Vicki Calabro / Christopher Calabro4-6, 2-6
W#3 DoublesFrank Rimlinger / Kathleen Rimlinger vs Erica Smith / Wayne Smith6-2, 6-2
2022-07-10vs NJ REDWon 30
W#1 DoublesLaurie Lahnert / Philip Lahnert vs Kristina Petrosino / Jeremy Petrosino6-4, 6-0
W#2 DoublesMeegan Miloud / Stephen Schulte vs Jennifer Davis / Kevin Furlong6-4, 3-6, 1-0
W#3 DoublesKathleen Rimlinger / Frank Rimlinger vs Melissa Sampson / Michael Oconnell6-1, 6-4
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 standings4 teams · MIXED 5.5 - ITA
TeamWLInd. WInd. LSets lostGames lost
1DTP YELLOW5113511136
2SSH SILVER2581329207
3LPTC YELLOW2571430207
4CP ORANGE0651328203

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 2.83 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.

3.09
Stephen Schulte
usually #2 Doubles 67%, also #3 Doubles 17% · published
3.01
Kathleen Rimlinger
usually #3 Doubles 75%, also #2 Doubles 25% · published 3
2.90
Michelle Dolin
usually #2 Doubles 100% · published
2.88
Tina Atchley
usually #1 Doubles 33%, also #2 Doubles 33% · published 3
2.86
Rebecca BaanHofman
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.83
Philip Lahnert
usually #1 Doubles 100% · published 3
2.83
Laurie Lahnert
usually #1 Doubles 100% · published
2.75
Frank Rimlinger
usually #3 Doubles 80%, also #2 Doubles 20% · published 3
2.60
Cordell BaanHofman
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.52
Meegan Miloud
usually #2 Doubles 40%, also #1 Doubles 40% · published 3
Jason Farrar
usually #2 Doubles 100% · published
Nick Hatley
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.

Tina Atchley + Stephen Schulte241055% games+1.5% vs expected
Laurie Lahnert + Philip Lahnert5749% games−4.0% vs expected
Kathleen Rimlinger + Frank Rimlinger172152% games−5.5% vs expected
Rebecca BaanHofman + Cordell BaanHofman5743% games−16.6% 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.

Stephen Schulte
65W–20L career · 6 lines in 2022
<1%25%75%
3.09
3
Kathleen Rimlinger
152W–80L career · 4 lines in 2022
<1%47%53%
3.01
Michelle Dolin
62W–19L career · 1 line in 2022
<1%78%22%
2.90
3
Tina Atchley
148W–84L career · 3 lines in 2022
<1%82%18%
2.88
3
Rebecca BaanHofman
94W–76L career · 4 lines in 2022
<1%86%13%
2.86
3
Philip Lahnert
51W–45L career · 4 lines in 2022
1%90%9%
2.83
Laurie Lahnert
88W–67L career · 4 lines in 2022
1%90%9%
2.83
3
Frank Rimlinger
36W–44L career · type A · 5 lines in 2022
3%95%3%
2.75
3
Cordell BaanHofman
16W–37L career · type A · 3 lines in 2022
22%78%<1%
2.60
3
Meegan Miloud
44W–52L career · 5 lines in 2022
44%56%<1%
2.52
Jason Farrar
0W–1L career · 1 line in 2022
not enough data
Nick Hatley
2W–5L 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.