Teams

3WESS-BROWN 7.0 MIXED 40&O SEM F4

2024 zSEM MIX WINTER 40 & OVER · 2024 70 MIXED 40 & OVER SEM F

21 players · average NTRP 3.47 / 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
W#1 DoublesMarianne Schouten / Joshua Ewald vs AnnMarie Sanford / David Sills6-1, 6-3
2024-03-29vs 2BEV-ZADROGA 7.0 MIXED 40&O SEM F4Lost 01
L#1 DoublesMarianne Schouten / Evgeny Ginzburg vs Mike Supancich / Kathleen Zadroga4-6, 5-7
2024-03-23vs 4SCWB-GAY 7.0 MIXED 40&O SEM F4Lost 01
L#1 DoublesBonnie Treece / Joshua Ewald vs Merrilee Nay / Bill Casey4-6, 4-6
W#2 DoublesMarianne Schouten / Joshua Ewald vs AnnMarie Sanford / Lance Cousins6-2, 6-2
2024-02-10vs 4SCWB-GAY 7.0 MIXED 40&O SEM F4Won 10
W#2 DoublesJoshua Ewald / Laura Krauss vs Bill Casey / Lynn Bechtel0-6, 6-4, 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 standings19 teams · 2024 70 MIXED 40 & OVER SEM F
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 3.23 estimated across 18 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.

4.02
Sali Refka
usually #1 Doubles 80%, also #2 Doubles 20% · published 4.5
3.74
Marianne Schouten
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.60
Joelle Mansfield
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.45
Laura Krauss
usually #1 Doubles 50%, also #2 Doubles 25% · published 3.5
3.33
Dennis Gurn
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
Clarence Rice
usually #3 Doubles 75%, also #1 Doubles 25% · published 3.5
3.24
Oleg Pojidaev
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.23
Joshua Ewald
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.21
Lani Moore
usually #2 Doubles 100% · published 3.5
3.21
FOUAD BATAH
usually #1 Doubles 100% · published 3.5
3.20
Shannon Matuska
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.19
Bonnie Treece
usually #1 Doubles 64%, also #2 Doubles 27% · published 3.5
3.18
Robert Berry
usually #2 Doubles 57%, also #1 Doubles 43% · published
3.03
Michelle Chinnaiyan
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.00
Heidi Malin
usually #3 Doubles 80%, also #1 Doubles 20% · published 3.5
2.95
Craig Halseth
usually #3 Doubles 75%, also #1 Doubles 25% · published 3
2.88
Nina Brown
usually #3 Doubles 50%, also #2 Doubles 40% · published 3
2.83
Noah Casser
usually #1 Doubles 60%, also #3 Doubles 40% · published 3
2.80
Kim Mizuno
usually #1 Doubles 100% · published 3
Albert Mooney
published
Evgeny Ginzburg
usually #1 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.

Laura Krauss + FOUAD BATAH5164% gamesnot enough data
Bonnie Treece + Robert Berry4252% gamesnot enough data
Sali Refka + FOUAD BATAH314 matchesnot enough data
Laura Krauss + Robert Berry404 matchesnot enough data
Craig Halseth + Bonnie Treece404 matchesnot enough data
Bonnie Treece + FOUAD BATAH224 matchesnot enough data
Oleg Pojidaev + Bonnie Treece213 matchesnot enough data
Nina Brown + Robert Berry033 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
Sali Refka
203W–133L career · 5 lines in 2024
44%56%<1%
4.02
Marianne Schouten
105W–29L career · 3 lines in 2024
3%95%2%
3.74
4
Joelle Mansfield
103W–80L career · 2 lines in 2024
22%78%<1%
3.60
3.5
Laura Krauss
184W–49L career · 4 lines in 2024
<1%65%35%
3.45
3.5
Dennis Gurn
67W–96L career · 3 lines in 2024
1%90%9%
3.33
3.5
Clarence Rice
42W–30L career · 4 lines in 2024
not enough data
3.5
Oleg Pojidaev
43W–89L career · 2 lines in 2024
3%95%2%
3.24
Joshua Ewald
34W–83L career · 4 lines in 2024
98%2%<1%
3.23
3.5
Lani Moore
97W–84L career · 2 lines in 2024
5%94%1%
3.21
3.5
FOUAD BATAH
91W–49L career · 5 lines in 2024
5%93%1%
3.21
3.5
Shannon Matuska
75W–88L career · 2 lines in 2024
7%92%1%
3.20
3.5
Bonnie Treece
106W–43L career · 11 lines in 2024
7%92%1%
3.19
Robert Berry
43W–37L career · 7 lines in 2024
8%91%1%
3.18
3.5
Michelle Chinnaiyan
88W–74L career · 4 lines in 2024
41%59%<1%
3.03
3.5
Heidi Malin
133W–136L career · 5 lines in 2024
50%50%<1%
3.00
3
Craig Halseth
40W–35L career · 4 lines in 2024
<1%64%36%
2.95
3
Nina Brown
146W–135L career · 10 lines in 2024
<1%83%17%
2.88
3
Noah Casser
33W–56L career · 5 lines in 2024
1%90%10%
2.83
3
Kim Mizuno
44W–75L career · 1 line in 2024
1%93%6%
2.80
Albert Mooney
2W–2L career · no lines in 2024
not enough data
Evgeny Ginzburg
3W–9L career · 1 line 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.