Teams

CLC:FAAFO:Bannon

2026 ME Summer Tri Level · Women 3.0

5 players · average NTRP 3.00 / MAINE

View scouting list →
Schedule8 played
2026-09-06vs Apex:TuckerLost 01
L#1 DoublesDeirdre Bannon / Logan Neale vs Sarah Parisien / Jodi Tucker4-6, 3-6
2026-09-05vs MP:GreenbaumLost 01
L#1 DoublesDeirdre Bannon / Alice Phillips vs Deirdre Barton / Wendy Greenbaum3-6, 1-6
2026-08-26vs MP:GreenbaumWon 10
W#1 DoublesDeirdre Bannon / Katy Nicketakis vs Nobuko Walek / Kate Willeford6-1, 6-4
2026-08-22vs Apex:SummerSet:SchwarzLost 01
L#1 DoublesLogan Neale / Katy Nicketakis vs Erin Schwarz / Renee Rogers4-6, 6-2, 0-1
2026-08-22vs Apex:TuckerWon 10
W#1 DoublesKaty Nicketakis / Hillary Bulmer vs Sarah Parisien / Jodi Tucker3-6, 6-2, 1-0
2026-08-20vs Apex:KayCat:MehlerWon 10
W#1 DoublesHillary Bulmer / Alice Phillips vs Kayla Bartlett / Elizabeth Langham6-2, 4-6, 1-0
2026-08-15vs Apex:SummerSet:SchwarzWon 10
W#1 DoublesDeirdre Bannon / Alice Phillips vs Lauren Schuman / Wen Wang6-0, 6-4
2026-07-29vs Apex:KayCat:MehlerWon 10
W#1 DoublesLogan Neale / Katy Nicketakis vs Kayla Bartlett / Catalina Mehler1-6, 6-2, 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 standings9 teams · Women 3.0
TeamWLInd. WInd. LSets lostGames lost
1Apex:SummerSet:Schwarz4141333
2WOOD:NoOne'sFault:Alcock4141431
3Apex:Ramirez3030022
4CLC:FAAFO:Bannon2020112
5Apex:KayCat:Mehler2323741
6Apex:SimplySmashing:Kabaeva24241060
7Apex:Tucker1212532
8OPShoreShots:Thompson1313632
9MP:Greenbaum1414848

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 2.88 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.

2.99
Katy Nicketakis
usually #1 Doubles 100% · published
2.97
Deirdre Bannon
usually #1 Doubles 100% · published 3
2.81
Alice Phillips
usually #1 Doubles 100% · published 3
2.81
Logan Neale
usually #1 Doubles 100% · published
2.80
Hillary Bulmer
usually #1 Doubles 100% · published 3
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.

Alice Phillips + Hillary Bulmer5160% games+10.7% vs expected
Deirdre Bannon + Logan Neale3352% games−4.2% vs expected
Alice Phillips + Logan Neale3256% gamesnot enough data
Alice Phillips + Deirdre Bannon213 matchesnot enough data
Hillary Bulmer + Logan Neale213 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.

Katy Nicketakis
7W–8L career · 4 lines in 2026
52%48%<1%
2.99
3
Deirdre Bannon
54W–37L career · 4 lines in 2026
<1%60%40%
2.97
3
Alice Phillips
16W–24L career · 3 lines in 2026
1%91%8%
2.81
Logan Neale
20W–18L career · 3 lines in 2026
1%92%7%
2.81
3
Hillary Bulmer
32W–36L career · 2 lines in 2026
1%93%6%
2.80

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.