Teams

1FAC-NAKANO 9.0 mix 40&O SEM

2022 SEM WINTER MIXED 40 & OVER · 2022 90 MIXED 40 & OVER SEM F

11 players · average NTRP 4.44 / S.E. MICHIGAN

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 →
Schedule8 played
2022-04-16vs 5WESS-TANGUAY 9.0 mix 40&O SEMWon 10
W#2 DoublesXiaoqiang Li / Ritsuko Nakano vs Randy Winston / Naoko McKelvey2-6, 6-4, 1-0
2022-04-01vs 4EAST-KEAN 9.0 mix 40&O SEMWon 20
W#1 DoublesXiaoqiang Li / Ritsuko Nakano vs Brian Kean / Stephanie Schulte4-6, 6-3, 1-0
W#3 DoublesJohn Newman / Rise Gilliland vs N/A6-0, 6-0
2022-03-26Won 10
W#2 DoublesXiaoqiang Li / Ritsuko Nakano vs Steven Cohen / Akemi Maebashi6-4, 6-2
2022-03-19vs MI/FORMICOLA 40&OVER 9.0 MIXEDLost 01
L#1 DoublesBrian Wayne / Trish Keranen vs Scott Davies / Kendra Clark2-6, 2-6
2022-02-19vs 2FAC-STEINER 9.0 mix 40&O SEMSplit 11
L#2 DoublesMiles Uhlar / Ritsuko Nakano vs Sainath Lachhireddygari / Aiko Lapinski3-6, 3-6
W#3 DoublesJohn Newman / Rise Gilliland vs Matthew Mitchell / Nury Steiner4-6, 6-2, 1-0
2022-02-11vs MI/FORMICOLA 40&OVER 9.0 MIXEDSplit 11
W#1 DoublesBrian Wayne / Trish Keranen vs Craig Capelli / Faith Sparr7-5, 1-6, 1-0
L#3 DoublesXiaoqiang Li / Ritsuko Nakano vs Kip Andringa / Leigh Formicola6-7, 6-7
2022-02-04vs 4EAST-KEAN 9.0 mix 40&O SEMWon 20
W#1 DoublesBrian Wayne / Trish Keranen vs Stephanie Schulte / Michael Haines6-2, 6-2
W#2 DoublesXiaoqiang Li / Rise Gilliland vs Eric Moore / Mary Beth Garvey2-6, 7-5, 1-0
2022-01-29vs 5WESS-TANGUAY 9.0 mix 40&O SEMLost 02
L#1 DoublesAlison Kirschenbaum / Xiaoqiang Li vs Frances Parsons / Eric Mojica4-6, 2-6
L#3 DoublesRitsuko Nakano / Miles Uhlar vs Steven Szymanski / Julia Szymanski4-6, 6-7
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 standings5 teams · 2022 90 MIXED 40 & OVER SEM F
TeamWLInd. WInd. LSets lostGames lost
1MI/FORMICOLA 40&OVER 9.0 MIXED8019510163
21FAC-NAKANO 9.0 mix 40&O SEM5315924216
35WESS-TANGUAY 9.0 mix 40&O SEM44111328233
44EAST-KEAN 9.0 mix 40&O SEM3591532236
52FAC-STEINER 9.0 mix 40&O SEM0861838261

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 4.17 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.

4.49
Eric Podgorny
usually #1 Doubles 60%, also #2 Doubles 40% · published 5
4.47
Trish Keranen
usually #1 Doubles 44%, also #3 Doubles 33% · published 4.5
4.45
Alison Kirschenbaum
usually #2 Doubles 50%, also #1 Doubles 33% · published 4.5
4.27
Xiaoqiang Li
usually #2 Doubles 50%, also #1 Doubles 33% · published
Brian Wayne
usually #1 Doubles 100% · published 4.5
4.16
Miles Uhlar
usually #3 Doubles 50%, also #2 Doubles 38% · published 4.5
4.07
Ritsuko Nakano
usually #2 Doubles 50%, also #3 Doubles 33% · published 4.5
3.75
Carolyn Kennedy
usually #3 Doubles 43%, also #1 Doubles 29% · published 4
3.67
Rise Gilliland
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
John Newman
usually #3 Doubles 67%, also #1 Doubles 33% · published
Samit Shah
usually #1 Doubles 57%, also #3 Doubles 29% · 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.

Carolyn Kennedy + Samit Shah15856% games−2.5% vs expected
Ritsuko Nakano + Xiaoqiang Li10354% games−7.2% vs expected
Trish Keranen + Xiaoqiang Li2461% games−9.0% vs expected
Ritsuko Nakano + Miles Uhlar3357% gamesnot enough data
Trish Keranen + Miles Uhlar3255% gamesnot enough data
Xiaoqiang Li + Alison Kirschenbaum2346% gamesnot enough data
Eric Podgorny + Alison Kirschenbaum224 matchesnot enough data
Brian Wayne + Trish Keranen213 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.

5
Eric Podgorny
66W–65L career · 5 lines in 2022
53%47%<1%
4.49
4.5
Trish Keranen
206W–79L career · 9 lines in 2022
<1%59%41%
4.47
4.5
Alison Kirschenbaum
212W–84L career · 6 lines in 2022
<1%64%36%
4.45
Xiaoqiang Li
110W–63L career · 6 lines in 2022
2%94%4%
4.27
4.5
Brian Wayne
17W–11L career · 3 lines in 2022
not enough data
4.5
Miles Uhlar
94W–72L career · 8 lines in 2022
12%88%<1%
4.16
4.5
Ritsuko Nakano
126W–76L career · 6 lines in 2022
30%70%<1%
4.07
4
Carolyn Kennedy
54W–63L career · 7 lines in 2022
3%95%3%
3.75
4
Rise Gilliland
65W–102L career · 3 lines in 2022
9%90%1%
3.67
John Newman
44W–32L career · 3 lines in 2022
not enough data
Samit Shah
43W–20L career · 7 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.