Teams

MRC:LoveMeansNothing:Arau

2024 ME Mixed 40 & Over · 7.0 Mixed

16 players · average NTRP 3.38 / MAINE

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 →
Schedule4 played
2023-12-10vs ATC:MixedNutsFall:LockhartWon 30
W#1 DoublesAlex Arau / Debbie Merchant vs Ellen Groleau / David Szewczyk6-3, 6-3
W#2 DoublesPat Behling / Lana Arau vs Connie Potvin / Paul Potvin6-2, 6-3
W#3 DoublesRichard Thackeray / Marianna Moll vs Daniel Johnston / Brooke Miller7-6, 6-3
2023-10-21vs ATC:MixedNutsFall:LockhartLost 12
L#1 DoublesTimothy Fong / Pamela Wallace vs Ellen Groleau / David Szewczyk6-7, 3-6
L#2 DoublesWilliam Pearson / Marianna Moll vs Connie Potvin / Paul Potvin2-6, 7-5, 0-1
W#3 DoublesLinda Fu / Alex Arau vs Alexis Lockhart / Scott Lockhart6-0, 6-2
2023-10-21vs ACOPI:EmmertLost 12
W#1 DoublesSante Calandri / Peggy Doucette vs Christine MacDonald / Alexander Stern6-1, 6-2
L#2 DoublesLana Arau / Pat Behling vs James Stewart / Heather Krausse2-6, 4-6
L#3 DoublesGerald Quirk / Cindy Behling vs Michael Emmert / Luz Adriana Henao-Cardona2-6, 0-6
2023-10-08vs ACOPI:EmmertLost 03
L#1 DoublesPeggy Doucette / William Pearson vs Yang Fan / Heather Krausse2-6, 6-7
L#2 DoublesTimothy Fong / Pamela Wallace vs James Stewart / Sarah Land6-4, 3-6, 0-1
L#3 DoublesLinda Fu / Jim Nickelson vs Michael Emmert / Luz Adriana Henao-Cardona7-5, 4-6, 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 standings9 teams · 7.0 Mixed
TeamWLInd. WInd. LSets lostGames lost
1Apex:Swingers:Green8020411154
2ACOPI:Emmert7119517184
3ACOPI:OnTarget:Holm6217716191
4WOOD:DoubleShots:Yoon5315923217
5Apex:GripnRip:Bowring44141021197
6MRC:LoveMeansNothing:Arau44121226236
7Apex:You'veMetYourMatch:Crosby2661838254
8Apex:MatchMakers:Kryger1751938249
9ATC:MixedNutsFall:Lockhart1761838254

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 3.23 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.

3.66
Debbie Merchant
usually #3 Doubles 67%, also #1 Doubles 17% · published 4
3.45
Alex Arau
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.43
Sante Calandri
usually #2 Doubles 67%, also #1 Doubles 33% · published
3.35
Lana Arau
usually #2 Doubles 57%, also #1 Doubles 29% · published
3.35
Peggy Doucette
usually #1 Doubles 100% · published
3.29
Jim Nickelson
usually #1 Doubles 54%, also #2 Doubles 39% · published
3.20
Richard Thackeray
usually #3 Doubles 100% · published
3.10
Marianna Moll
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.09
Timothy Fong
usually #2 Doubles 83%, also #1 Doubles 17% · published
3.08
Pat Behling
usually #2 Doubles 100% · published
3.00
Linda Fu
usually #3 Doubles 64%, also #1 Doubles 18% · published
2.78
Gerald Quirk
usually #1 Doubles 46%, also #3 Doubles 36% · published 3
Cindy Behling
usually #3 Doubles 100% · published 3
Pamela Wallace
usually #1 Doubles 50%, also #2 Doubles 50% · published
Sarah Efird
published
William Pearson
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.

Alex Arau + Lana Arau12754% games+2.8% vs expected
Timothy Fong + Peggy Doucette5553% games+2.7% vs expected
Jim Nickelson + Linda Fu101351% games+2.0% vs expected
Sante Calandri + Debbie Merchant1537% games−5.2% vs expected
Sante Calandri + Peggy Doucette81152% games−5.8% vs expected
Jim Nickelson + Marianna Moll3549% games−6.2% vs expected
Sante Calandri + Lana Arau4842% games−8.1% vs expected
Pat Behling + Cindy Behling81847% games−10.8% 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.

4
Debbie Merchant
10W–28L career · type M · 6 lines in 2024
12%88%<1%
3.66
3.5
Alex Arau
87W–41L career · 2 lines in 2024
<1%65%35%
3.45
Sante Calandri
138W–116L career · 6 lines in 2024
<1%71%29%
3.43
Lana Arau
141W–62L career · 7 lines in 2024
<1%87%13%
3.35
Peggy Doucette
74W–72L career · 2 lines in 2024
<1%87%12%
3.35
Jim Nickelson
112W–104L career · 13 lines in 2024
1%94%5%
3.29
Richard Thackeray
31W–19L career · 1 line in 2024
7%92%1%
3.20
Marianna Moll
67W–64L career · 2 lines in 2024
23%77%<1%
3.10
Timothy Fong
87W–79L career · 6 lines in 2024
23%76%<1%
3.09
Pat Behling
41W–48L career · 2 lines in 2024
27%73%<1%
3.08
Linda Fu
72W–59L career · 11 lines in 2024
<1%50%50%
3.00
3
Gerald Quirk
63W–79L career · 11 lines in 2024
2%94%4%
2.78
3
Cindy Behling
41W–50L career · 1 line in 2024
not enough data
Pamela Wallace
42W–33L career · 2 lines in 2024
not enough data
Sarah Efird
22W–8L career · no lines in 2024
not enough data
William Pearson
11W–10L career · no lines in 2024
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.