Teams

2FAC-STEINER 9.0 mix 40&O SEM

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

14 players · average NTRP 4.06 / 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 →
Schedule6 played
2022-03-04vs MI/FORMICOLA 40&OVER 9.0 MIXEDWon 10
W#1 DoublesKevin McGuffie / Aiko Lapinski vs Craig Capelli / Christina Slade4-6, 6-3, 1-0
2022-02-27vs 5WESS-TANGUAY 9.0 mix 40&O SEMLost 01
L#2 DoublesTAYU LIU / Yumiko Farrell vs Naoko McKelvey / Randy Winston0-6, 2-6
2022-02-19vs 1FAC-NAKANO 9.0 mix 40&O SEMLost 02
L#1 DoublesKevin McGuffie / Yumiko Farrell vs Samit Shah / Carolyn Kennedy6-7, 1-6
L#3 DoublesMatthew Mitchell / Nury Steiner vs John Newman / Rise Gilliland6-4, 2-6, 0-1
2022-02-12vs 4EAST-KEAN 9.0 mix 40&O SEMLost 02
L#1 DoublesKevin McGuffie / Nury Steiner vs Michael Haines / Stephanie Schulte1-6, 2-6
L#2 DoublesMatthew Mitchell / Akemi Maebashi vs Jim Beardslee / Mary Beth Garvey3-6, 0-6
2022-01-29vs MI/FORMICOLA 40&OVER 9.0 MIXEDLost 01
L#1 DoublesKevin McGuffie / Yumiko Farrell vs Paul Gill / Leigh Formicola4-6, 4-6
2022-01-23vs 5WESS-TANGUAY 9.0 mix 40&O SEMSplit 11
W#1 DoublesNury Steiner / Kevin McGuffie vs Omar Gonzalez / Naoko McKelvey6-4, 6-0
L#3 DoublesMatthew Mitchell / Akemi Maebashi vs Barbara Friesen / Kevin Friesen5-7, 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 3.88 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.

4.10
Sainath Lachhireddygari
usually #3 Doubles 57%, also #2 Doubles 29% · published
4.06
Kevin McGuffie
usually #1 Doubles 100% · published 4.5
3.90
Aiko Lapinski
usually #2 Doubles 71%, also #1 Doubles 29% · published 4
3.87
Steven Millard
usually #1 Doubles 78%, also #3 Doubles 11% · published 4
3.85
Madoka Minamoto
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.80
Nury Steiner
usually #2 Doubles 42%, also #3 Doubles 33% · published 4
3.76
Jay Dalal
usually #2 Doubles 57%, also #3 Doubles 43% · published 4
Akemi Maebashi
usually #3 Doubles 33%, also #2 Doubles 33% · published 4
Leimomi Respicio
published 4
3.69
Yumiko Farrell
usually #3 Doubles 50%, also #2 Doubles 25% · published 4
Matthew Mitchell
usually #3 Doubles 67%, also #2 Doubles 33% · published
Mie Tashiro
usually #3 Doubles 57%, also #2 Doubles 29% · published
TAYU LIU
usually #2 Doubles 100% · published
Yoshihiro Omori
usually #2 Doubles 75%, also #3 Doubles 25% · 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.

Steven Millard + Akemi Maebashi2448% games+10.4% vs expected
Steven Millard + Aiko Lapinski6553% games+4.5% vs expected
Steven Millard + Nury Steiner51341% games+3.6% vs expected
Yumiko Farrell + Steven Millard0525% games−6.6% vs expected
Sainath Lachhireddygari + Aiko Lapinski1446% gamesnot enough data
Madoka Minamoto + Kevin McGuffie134 matchesnot enough data
Kevin McGuffie + Nury Steiner123 matchesnot enough data
Kevin McGuffie + Akemi Maebashi123 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.

Sainath Lachhireddygari
90W–74L career · 7 lines in 2022
23%77%<1%
4.10
4.5
Kevin McGuffie
107W–40L career · 5 lines in 2022
31%69%<1%
4.06
4
Aiko Lapinski
152W–92L career · 7 lines in 2022
<1%79%21%
3.90
4
Steven Millard
200W–175L career · 9 lines in 2022
<1%83%17%
3.87
4
Madoka Minamoto
78W–61L career · 5 lines in 2022
<1%87%13%
3.85
4
Nury Steiner
185W–151L career · 12 lines in 2022
1%93%6%
3.80
4
Jay Dalal
227W–145L career · 7 lines in 2022
2%94%3%
3.76
4
Akemi Maebashi
66W–42L career · 6 lines in 2022
not enough data
4
Leimomi Respicio
26W–54L career · no lines in 2022
not enough data
4
Yumiko Farrell
195W–151L career · 8 lines in 2022
8%92%1%
3.69
Matthew Mitchell
45W–31L career · 3 lines in 2022
not enough data
Mie Tashiro
42W–31L career · 7 lines in 2022
not enough data
TAYU LIU
54W–22L career · 1 line in 2022
not enough data
Yoshihiro Omori
22W–26L career · 4 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.