Teams

MITC:MixNMatch:Morison

2023 NH Mixed 18 & Over · 7.0 Mixed

14 players · average NTRP 3.33 / NEW HAMPSHIRE

View scouting list →
Schedule6 played
2023-05-21vs ALG:Mixmasters:Frank:MerchantLost 02
L#1 DoublesDavid Odland / Libby Twitchell vs Damian Andrada / Kerry Omeara2-6, 1-6
L#2 DoublesPatricia Moodie / Paul Frehner vs William Frank / Heajung Kim-Aiello1-6, 1-6
2023-05-17vs MTS:Overserved:NippeSplit 11
L#1 DoublesThomas Merrow / REBECCA BROWN vs Nancy Donahue / Gary Roberts2-6, 1-6
W#2 DoublesLibby Twitchell / John Teixeira vs Kelsey Nippe / Stuart Scott6-4, 6-4
2023-04-23vs ALG:Mixmasters:Frank:MerchantLost 03
L#1 DoublesGloria Morison / John Teixeira vs William Frank / Chris Bouressa2-6, 6-7
L#2 DoublesREBECCA BROWN / Robert Beck vs Heajung Kim-Aiello / Damian Andrada7-6, 4-6, 0-1
L#3 DoublesCher Barker / Mark Manley vs Steve MacLeod / Julie Chrissis2-6, 6-7
2023-04-16vs MTS:Overserved:NippeLost 02
L#1 DoublesGloria Morison / John Teixeira vs Elizabeth Kelly / Jason Stadler2-6, 6-7
L#2 DoublesElizabeth Gordon / David Odland vs Heidi Saghir / Matthew Zanderigo5-7, 4-6
2023-03-26vs ALG:Mixmasters:Frank:MerchantLost 03
L#1 DoublesChester Porowski / Gloria Morison vs Carol Merchant / Steve MacLeod2-6, 0-6
L#2 DoublesVivien Law / David Odland vs Jeffrey Degler / Kerry Omeara1-6, 2-6
L#3 DoublesPaul Frehner / Libby Twitchell vs William Frank / Melissa Gardner1-6, 0-6
2023-03-19vs MTS:Overserved:NippeLost 03
L#1 DoublesChester Porowski / Patricia Moodie vs Nancy Donahue / Gary Roberts0-6, 4-6
L#2 DoublesVivien Law / David Odland vs Karen Padgett / Matthew Zanderigo3-6, 1-6
L#3 DoublesMark Manley / Cher Barker vs Maureen Adams / Stuart Scott1-6, 1-6
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
1ALG:Mixmasters:Frank:Merchant601627105
2RVC:Stan:Nabinger5112616156
3TC:Stamenov:Cambo4211717161
4MTS:Gould:Gould4210820165
5IND:YellowFuzzyBalls:Gerhard:Tall429920148
6HH:Weisberg:Bogle249919160
7MTS:Overserved:Nippe2471123165
8MITC:MixNMatch:Morison1541428181
9CON:Plunkett0621632198

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 3.09 estimated across 8 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.

3.37
Elizabeth Gordon
usually #2 Doubles 100% · published
3.28
Chester Porowski
usually #3 Doubles 71%, also #1 Doubles 29% · published 3.5
3.26
David Odland
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.25
Gloria Morison
usually #1 Doubles 100% · published
3.16
Thomas Merrow
usually #1 Doubles 100% · published
2.90
Vivien Law
usually #1 Doubles 50%, also #2 Doubles 33% · published
2.89
Libby Twitchell
usually #3 Doubles 33%, also #2 Doubles 33% · published
2.60
Cher Barker
usually #3 Doubles 100% · published 3
Jennifer Hanrahan
published
John Teixeira
usually #1 Doubles 67%, also #2 Doubles 33% · published
Mark Manley
usually #3 Doubles 100% · published
Patricia Moodie
usually #2 Doubles 50%, also #1 Doubles 50% · published
Paul Frehner
usually #3 Doubles 50%, also #2 Doubles 50% · published
Robert Beck
usually #2 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.

Gloria Morison + John Teixeira6454% gamesnot enough data
Jennifer Hanrahan + Chester Porowski3251% gamesnot enough data
Libby Twitchell + David Odland1442% gamesnot enough data
Cher Barker + Mark Manley044 matchesnot enough data
Cher Barker + David Odland044 matchesnot enough data
Elizabeth Gordon + David Odland134 matchesnot enough data
Patricia Moodie + Chester Porowski123 matchesnot enough data
Gloria Morison + Chester Porowski033 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.

Elizabeth Gordon
22W–19L career · 3 lines in 2023
82%18%<1%
3.37
3.5
Chester Porowski
104W–90L career · 7 lines in 2023
2%92%6%
3.28
3.5
David Odland
18W–39L career · 4 lines in 2023
3%93%4%
3.26
Gloria Morison
142W–106L career · 3 lines in 2023
4%93%4%
3.25
Thomas Merrow
7W–26L career · 1 line in 2023
13%87%1%
3.16
Vivien Law
155W–128L career · 6 lines in 2023
76%24%<1%
2.90
Libby Twitchell
30W–36L career · 3 lines in 2023
<1%77%22%
2.89
3
Cher Barker
53W–73L career · 2 lines in 2023
23%77%<1%
2.60
Jennifer Hanrahan
12W–20L career · no lines in 2023
not enough data
John Teixeira
25W–23L career · 3 lines in 2023
not enough data
Mark Manley
3W–8L career · 2 lines in 2023
not enough data
Patricia Moodie
17W–16L career · 2 lines in 2023
not enough data
Paul Frehner
1W–6L career · 2 lines in 2023
not enough data
Robert Beck
15W–9L career · 1 line in 2023
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.