Teams

Gibson

2022 USTA ADULT 40 & OVER - POCATELLO · Women 3.5 - 40 & OVER

11 players · average NTRP 3.25 / IDAHO

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
2022-08-10vs Lob SquadSplit 22
W#1 DoublesPatricia Bolinger / Carrie Rose Lindley vs Michele Surmelis / Victoria Scharp1-6, 6-2, 1-0
W#1 SinglesAllyson Laible vs Panayota Semons-Short6-1, 6-0
L#2 DoublesVenita Petti / Kathy Dahlke vs Rachel Mattson / Sarah Davids3-6, 2-6
L#3 DoublesDonna Araki / Amy Cunningham vs Wendy Elison / Camille Aguinaga3-6, 3-6
2022-08-08vs HarmonSplit 22
W#1 DoublesKathy Dahlke / Venita Petti vs Karen McGee / Anne MacLachlan7-5, 1-6, 1-0
L#1 SinglesAllyson Laible vs Jamie Simmons0-6, 3-6
W#2 DoublesAmy Cunningham / Carrie Rose Lindley vs Karen Grasso / Lorie Murray7-5, 6-3
L#3 DoublesPatsy Lapointe / Leslie Mulholland vs Mikel Harmon / Kirsten Nickisch4-6, 3-6
2022-08-06vs Lob SquadSplit 22
L#1 DoublesLeslie Mulholland / Patsy Lapointe vs Rachel Mattson / Wendy Elison2-6, 0-6
L#1 SinglesCarrie Rose Lindley vs Panayota Semons-Short5-7, 4-6
W#2 DoublesAlyce Brown / Allyson Laible vs Camille Aguinaga / Lisa Holt6-0, 6-1
W#3 DoublesVenita Petti / Kathy Dahlke vs Michele Surmelis / Victoria Scharp6-4, 6-3
2022-08-04vs HarmonLost 13
L#1 DoublesAlyce Brown / Venita Petti vs Cara Sonnemann / Mikel Harmon6-7, 5-7
W#1 SinglesAllyson Laible vs Kirsten Nickisch7-6, 6-3
L#2 DoublesPatricia Bolinger / Patsy Lapointe vs Teresa Henderson / Jamie Simmons5-7, 1-6
L#3 DoublesDonna Araki / Leslie Mulholland vs Anne MacLachlan / Karen McGee1-6, 1-6
2022-08-03vs Lob SquadSplit 22
W#1 DoublesAlyce Brown / Allyson Laible vs Shauna Myler / Quincy Sutton7-5, 6-0
L#1 SinglesAmy Cunningham vs Panayota Semons-Short7-5, 4-6, 0-1
W#2 DoublesKathy Dahlke / Leslie Mulholland vs Michele Surmelis / Victoria Scharp4-6, 6-2, 1-0
L#3 DoublesDonna Araki / Patsy Lapointe vs Camille Aguinaga / Lisa Holt1-6, 4-6
2022-07-25vs HarmonLost 13
L#1 DoublesAlyce Brown / Allyson Laible vs Mikel Harmon / Theresa Mansfield4-6, 4-6
L#1 SinglesJane Gibson vs Kirsten Nickisch0-6, 0-3
W#2 DoublesPatricia Bolinger / Amy Cunningham vs Lorie Murray / Jamie Simmons3-6, 6-2, 1-0
L#3 DoublesLeslie Mulholland / Patsy Lapointe vs Anne MacLachlan / Karen McGee1-6, 6-4, 0-1
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 · Women 3.5 - 40 & OVER
TeamWLInd. WInd. LSets lostGames lost
1Gibson24101432237
2Lob Squad1581633232

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 3.05 estimated across 5 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.

Allyson Laible
usually #1 Singles 50%, also #1 Doubles 33% · published 3.5
3.22
Amy Cunningham
usually #2 Doubles 50%, also #1 Singles 25% · published 3.5
3.19
Patricia Bolinger
usually #2 Doubles 67%, also #1 Doubles 33% · published
3.10
Alyce Brown
usually #1 Doubles 71%, also #2 Doubles 29% · published 3.5
3.04
Carrie Rose Lindley
usually #1 Singles 33%, also #2 Doubles 33% · published 3
Donna Araki
usually #3 Doubles 100% · published 3
2.69
Venita Petti
usually #1 Doubles 50%, also #3 Doubles 25% · published 3
Jane Gibson
usually #1 Singles 100% · published
Kathy Dahlke
usually #2 Doubles 50%, also #3 Doubles 25% · published
Leslie Mulholland
usually #3 Doubles 60%, also #1 Doubles 20% · published
Patsy Lapointe
usually #3 Doubles 60%, also #1 Doubles 20% · 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.

Alyce Brown + Allyson Laible12855% games+1.7% vs expected
Venita Petti + Kathy Dahlke4349% games+0.9% vs expected
Venita Petti + Carrie Rose Lindley8650% games−1.0% vs expected
Patricia Bolinger + Carrie Rose Lindley4646% games−8.7% vs expected
Amy Cunningham + Kathy Dahlke4746% games−9.7% vs expected
Leslie Mulholland + Venita Petti224 matchesnot enough data
Alyce Brown + Venita Petti314 matchesnot enough data
Alyce Brown + Kathy Dahlke134 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.

3.5
Allyson Laible
24W–37L career · 6 lines in 2022
not enough data
3.5
Amy Cunningham
48W–122L career · 4 lines in 2022
5%94%2%
3.22
Patricia Bolinger
33W–70L career · 3 lines in 2022
8%92%1%
3.19
3.5
Alyce Brown
52W–73L career · 7 lines in 2022
23%77%<1%
3.10
3
Carrie Rose Lindley
73W–100L career · 3 lines in 2022
<1%38%62%
3.04
3
Donna Araki
5W–20L career · 3 lines in 2022
not enough data
3
Venita Petti
82W–116L career · 4 lines in 2022
7%92%1%
2.69
Jane Gibson
1W–8L career · 1 line in 2022
not enough data
Kathy Dahlke
26W–25L career · 4 lines in 2022
not enough data
Leslie Mulholland
13W–13L career · 5 lines in 2022
not enough data
Patsy Lapointe
0W–5L career · 5 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.