Teams

3FAC-MAHMOOD 8.0 MIXED 40&O SEM F3

2024 zSEM MIX WINTER 40 & OVER · 2024 80 MIXED 40 & OVER SEM F

14 players · average NTRP 4.05 / 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 →
Schedule9 played
W#1 DoublesAlfredo Ospina / Lisa Martell vs Rebecca Tanguay / Robert Nagle4-6, 6-2, 1-0
W#2 DoublesPhillip Pennington / Nisha Jam vs Daniel Tanguay / Cynthia Ostrowski6-4, 2-6, 1-0
2024-04-13vs 1BEV-HARBAR 8.0 MIXED 40&O SEM F3Won 10
W#2 DoublesLaure Housey / Phillip Pennington vs Rebecca Barry / Miles Uhlar7-6, 6-4
W#2 DoublesPhillip Pennington / Luminita Varos vs Shawn Snell / Mary Vogt6-3, 6-1
2024-03-16vs 1BEV-HARBAR 8.0 MIXED 40&O SEM F3Won 10
W#3 DoublesJohan Mahmood / Anne Belleau-Mills vs Eric Green / Julie Longo6-2, 6-3
W#2 DoublesAlfredo Ospina / Lisa Martell vs Eric Podgorny / Stacey Gutowsky6-4, 6-2
W#2 DoublesDan Langford / Lisa Martell vs Daniel Tanguay / Cynthia Ostrowski6-3, 7-6
W#3 DoublesColeen Giniel / Phillip Pennington vs Lora Kazanjian / Timothy Harry6-0, 6-3
W#2 DoublesAlfredo Ospina / Lisa Martell vs Paul Podgorny / Maria Mierzwa6-1, 6-4
2024-02-11Lost 01
L#2 DoublesColeen Giniel / Dan Langford vs Henry Pu / Naoko McKelvey0-6, 0-6
2024-02-04vs 1BEV-HARBAR 8.0 MIXED 40&O SEM F3Lost 01
L#1 DoublesJohan Mahmood / Anne Belleau-Mills vs Peter Stutcher / Veronica O'Hara6-7, 6-3, 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 standings12 teams · 2024 80 MIXED 40 & OVER SEM F
TeamWLInd. WInd. LSets lostGames lost
13EAST-KEAN 8.0 MIXED 40&O SEM F28122514186
23FAC-MAHMOOD 8.0 MIXED 40&O SEM F38120719210
31CHIP-SLADE 8.0 MIXED 40&O SEM F17220719188
41FAC-BARTHOLOMEW 8.0 MIXED 40&O SEM F26318925244
52CHIP-PALMER 8.0 MIXED 40&O SEM F163151226231
64WESS-TANGUAY 8.0 MIXED 40&O SEM F354161127246
72FAC-MILLARD 8.0 MIXED 40&O SEM F245141328219
82PINE-KNIGHT 8.0 MIXED 40&O SEM F336101738278
94HV-COOPER 8.0 MIXED 40&O SEM F136111638277
101BEV-HARBAR 8.0 MIXED 40&O SEM F32781941289
113TRAVIS-SHELL 8.0 MIXED 40&O SEM F12781941280
124PEACH-GAINES 8.0 MIXED 40&O SEM F20902754321

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 3.78 estimated across 10 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.

Alfredo Ospina
usually #2 Doubles 44%, also #1 Doubles 44% · published 4.5
Daniel Carlson
published 4.5
4.05
Phillip Pennington
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.98
Lisa Martell
usually #2 Doubles 75%, also #1 Doubles 25% · published
3.96
Nisha Jam
usually #1 Doubles 57%, also #2 Doubles 43% · published 4
3.83
Johan Mahmood
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.82
Laure Housey
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.76
Luminita Varos
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
Dan Langford
usually #2 Doubles 100% · published 4
3.75
Al Itchon
usually #3 Doubles 100% · published 4
3.69
Tsen Joslyn
usually #3 Doubles 100% · published 4
3.56
Coleen Giniel
usually #3 Doubles 60%, also #2 Doubles 40% · published 4
3.42
Anne Belleau-Mills
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
TAYU LIU
usually #3 Doubles 83%, also #2 Doubles 17% · 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.

Luminita Varos + Johan Mahmood4352% games−1.2% vs expected
Luminita Varos + Al Itchon4350% gamesnot enough data
Tsen Joslyn + TAYU LIU6053% gamesnot enough data
Laure Housey + Alfredo Ospina2360% gamesnot enough data
Lisa Martell + Alfredo Ospina314 matchesnot enough data
Johan Mahmood + Anne Belleau-Mills224 matchesnot enough data
Coleen Giniel + Al Itchon213 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.

4.5
Alfredo Ospina
139W–60L career · 9 lines in 2024
not enough data
4.5
Daniel Carlson
29W–18L career · no lines in 2024
not enough data
Phillip Pennington
51W–22L career · 4 lines in 2024
35%65%<1%
4.05
Lisa Martell
24W–19L career · 4 lines in 2024
56%44%<1%
3.98
4
Nisha Jam
136W–73L career · 7 lines in 2024
<1%61%39%
3.96
Johan Mahmood
120W–52L career · 2 lines in 2024
88%12%<1%
3.83
4
Laure Housey
188W–116L career · 4 lines in 2024
1%89%9%
3.82
4
Luminita Varos
109W–70L career · 3 lines in 2024
3%93%4%
3.76
4
Dan Langford
11W–17L career · 2 lines in 2024
not enough data
4
Al Itchon
120W–82L career · 3 lines in 2024
4%93%4%
3.75
4
Tsen Joslyn
92W–46L career · 4 lines in 2024
9%90%1%
3.69
4
Coleen Giniel
89W–101L career · 5 lines in 2024
34%65%<1%
3.56
3.5
Anne Belleau-Mills
141W–72L career · 2 lines in 2024
<1%71%29%
3.42
TAYU LIU
51W–20L career · 6 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.