Teams

EAST-Kean 40&O 90 Mix

2026 aSEM MIX WINTER 40 & OVER · 2026 90 MIXED 40 & OVER SEM F

21 players · average NTRP 4.29 / 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 →
Schedule5 played
2026-04-26Won 10
W#2 DoublesSEBASTIEN FOKA / Tracy Carleton vs Daniel Tanguay / Rebecca Tanguay6-3, 6-0
2026-04-22Lost 01
L#2 DoublesJohn Spina / Madoka Minamoto vs Martin Bak / Ty Moss4-6, 2-6
2026-04-18vs FAC-Keranen 40&O 90 MixWon 10
W#3 DoublesSEBASTIEN FOKA / Tracy Carleton vs Nichola Stojanov / Stacey Lareau7-5, 6-4
2026-03-29vs FAC-Keranen 40&O 90 MixLost 01
L#1 DoublesAmy Blackwell / Geoff Wagner vs Carly Eckert / Michael Case1-6, 3-6
2026-02-22vs FAC-Keranen 40&O 90 MixWon 10
W#2 DoublesJohn Spina / Madoka Minamoto vs Michael Case / Alissa VanderKooi6-2, 2-6, 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 standings5 teams · 2026 90 MIXED 40 & OVER SEM F
TeamWLInd. WInd. LSets lostGames lost
1PINE-Atallah 40&O 90 Mix72161127258
2EAST-Kean 40&O 90 Mix54161126227
3FAC-Keranen 40&O 90 Mix45131432245
4CHIP-Formicola 40&O 90 Mix2791840290
5BYE000000

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 4.15 estimated across 20 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.

4.58
SEBASTIEN FOKA
usually #3 Doubles 50%, also #2 Doubles 50% · published
4.54
John Spina
usually #2 Doubles 100% · published
4.46
Jason Joo
published
4.40
Sam Healy
usually #2 Doubles 50%, also #3 Doubles 40% · published
4.39
Stephanie Schulte
usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5
4.35
Jason Go
usually #1 Doubles 56%, also #2 Doubles 28% · published
4.34
Amy Blackwell
usually #1 Doubles 33%, also #2 Doubles 33% · published 4.5
Barbara Friesen
published 4.5
4.25
Antonia Burkhard
usually #1 Doubles 50%, also #2 Doubles 25% · published 4.5
4.17
Jim Beardslee
usually #2 Doubles 100% · published 4.5
4.13
Samantha Wagner
published
4.13
Jennifer Deisinger
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
4.11
Matt Wise
usually #2 Doubles 50%, also #1 Doubles 50% · published
4.09
Tracy Mengyan
usually #3 Doubles 50%, also #2 Doubles 50% · published
4.08
Sarah Malys
published
3.95
Geoff Wagner
usually #1 Doubles 100% · published 4.5
3.85
Madoka Minamoto
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.84
Kevin Friesen
usually #3 Doubles 100% · published 4
3.81
Tracy Carleton
usually #1 Doubles 38%, also #3 Doubles 38% · published 4
3.80
Mary Beth Garvey
usually #1 Doubles 100% · published 4
3.66
Brian Kean
usually #1 Doubles 71%, also #2 Doubles 14% · published 4
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.

Jason Go + Antonia Burkhard4353% games−0.9% vs expected
Kevin Friesen + Barbara Friesen3842% games−1.7% vs expected
Stephanie Schulte + Brian Kean2742% games−3.2% vs expected
Brian Kean + Mary Beth Garvey2648% games−7.1% vs expected
John Spina + Madoka Minamoto224 matchesnot enough data
Tracy Mengyan + Sam Healy404 matchesnot enough data
Tracy Carleton + SEBASTIEN FOKA404 matchesnot enough data
Amy Blackwell + Sam Healy404 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.

SEBASTIEN FOKA
13W–5L career · 2 lines in 2026
28%72%<1%
4.58
John Spina
76W–18L career · 2 lines in 2026
39%61%<1%
4.54
Jason Joo
95W–36L career · no lines in 2026
<1%61%39%
4.46
Sam Healy
39W–8L career · 10 lines in 2026
<1%78%22%
4.40
4.5
Stephanie Schulte
103W–74L career · 4 lines in 2026
<1%80%20%
4.39
Jason Go
62W–42L career · 18 lines in 2026
<1%88%12%
4.35
4.5
Amy Blackwell
69W–45L career · 3 lines in 2026
<1%88%12%
4.34
4.5
Barbara Friesen
46W–46L career · no lines in 2026
not enough data
4.5
Antonia Burkhard
28W–24L career · 8 lines in 2026
3%95%3%
4.25
4.5
Jim Beardslee
66W–56L career · 1 line in 2026
10%89%1%
4.17
Samantha Wagner
77W–28L career · no lines in 2026
15%84%<1%
4.13
4.5
Jennifer Deisinger
129W–93L career · 3 lines in 2026
16%84%<1%
4.13
Matt Wise
19W–9L career · 2 lines in 2026
21%79%<1%
4.11
Tracy Mengyan
72W–40L career · 2 lines in 2026
25%75%<1%
4.09
Sarah Malys
62W–47L career · no lines in 2026
27%73%<1%
4.08
4.5
Geoff Wagner
24W–24L career · 1 line in 2026
64%36%<1%
3.95
4
Madoka Minamoto
78W–61L career · 6 lines in 2026
<1%87%13%
3.85
4
Kevin Friesen
196W–105L career · 1 line in 2026
<1%88%11%
3.84
4
Tracy Carleton
12W–16L career · 8 lines in 2026
1%92%8%
3.81
4
Mary Beth Garvey
53W–58L career · 7 lines in 2026
1%93%6%
3.80
4
Brian Kean
164W–180L career · 7 lines in 2026
11%88%<1%
3.66

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.