Teams

5PEACH-GAINES 7.0 MIXED 40&O SEM F1

2025 aSEM MIX WINTER 40 & OVER · 2025 70 MIXED 40 & OVER SEM F

23 players · average NTRP 3.31 / 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
L#1 DoublesCraig Emery / Susan Lukas vs Kevin Marvin / Amy Stablein6-2, 2-6, 0-1
2025-03-23vs 4EAST-THOMAS 7.0 MIXED 40&O SEM F1Lost 02
L#1 DoublesWilliam Belbot / Lesley Discher vs Mike Downey / Alicia LaBeau1-6, 5-7
L#2 DoublesCraig Emery / Jennifer Talbot vs Michael Held / Sharlene Held4-6, 4-6
L#3 DoublesChristopher Wyatt / Gigi Oleson vs Patrick Serda / Stacey Gutowsky2-6, 0-6
2025-02-16Lost 01
L#1 DoublesChristopher Roberts / Susan Lukas vs Mike Downey / Tina Verbeke4-6, 2-6
L#1 DoublesWilliam Belbot / Lesley Discher vs Kristin Wikol / Jeffrey Froggett2-6, 2-6
L#2 DoublesPaul DeMeester / Jennifer Talbot vs Patrick Serda / Dora Romanelli2-2
L#3 DoublesChristopher Wyatt / Judith Swiderski vs Chet Miller / Sonia Miller2-6, 1-6
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 standings20 teams · 2025 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 3.07 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.

3.62
Christopher Roberts
usually #1 Doubles 38%, also #3 Doubles 38% · published 4
3.41
Judith Swiderski
usually #1 Doubles 60%, also #3 Doubles 20% · published 3.5
3.31
Kristy Doherty
usually #2 Doubles 100% · published 3.5
3.30
Gerard Rizarri
usually #2 Doubles 100% · published 3.5
3.28
Eric Wheatley
usually #1 Doubles 100% · published 3.5
3.21
Joanne Gaines
usually #3 Doubles 100% · published 3.5
3.19
Paul DeMeester
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
3.10
Jennifer Talbot
usually #2 Doubles 100% · published
3.10
Lesley Discher
usually #1 Doubles 100% · published 3.5
3.07
Craig Emery
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
3.05
Dan DeLong
usually #2 Doubles 50%, also #3 Doubles 33% · published 3
3.00
Gigi Oleson
usually #3 Doubles 100% · published 3
2.96
Natalie Luke
usually #2 Doubles 50%, also #3 Doubles 33% · published
2.94
Kathleen Macko
usually #3 Doubles 100% · published 3
2.94
Lisa Studzinski
usually #1 Doubles 100% · published 3.5
2.93
Nancy Sinutko
usually #3 Doubles 40%, also #1 Doubles 40% · published 3
2.93
Christine Nathman-Parisi
usually #2 Doubles 100% · published 3
2.78
Rose Wedemeyer
usually #3 Doubles 60%, also #2 Doubles 40% · published 3
James Gajewski
usually #2 Doubles 57%, also #3 Doubles 43% · published 3
2.67
Susan Lukas
usually #1 Doubles 100% · published
2.60
Christopher Wyatt
usually #3 Doubles 100% · published 3
Kevin White
published
William Belbot
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.

Dan DeLong + Rose Wedemeyer151253% games+10.9% vs expected
Joanne Gaines + Craig Emery5744% games+10.0% vs expected
Natalie Luke + Paul DeMeester0729% games+4.2% vs expected
Natalie Luke + Craig Emery1837% games+4.2% vs expected
Kristy Doherty + Gerard Rizarri9852% games−0.3% vs expected
Joanne Gaines + Eric Wheatley4444% games−2.2% vs expected
Lesley Discher + William Belbot21140% gamesnot enough data
Eric Wheatley + Lisa Studzinski1540% gamesnot 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
Christopher Roberts
35W–43L career · 8 lines in 2025
17%83%<1%
3.62
3.5
Judith Swiderski
178W–98L career · 5 lines in 2025
<1%75%25%
3.41
3.5
Kristy Doherty
77W–74L career · 3 lines in 2025
1%92%7%
3.31
3.5
Gerard Rizarri
54W–72L career · 3 lines in 2025
1%93%6%
3.30
3.5
Eric Wheatley
33W–74L career · 3 lines in 2025
2%94%5%
3.28
3.5
Joanne Gaines
100W–176L career · 6 lines in 2025
6%93%1%
3.21
3.5
Paul DeMeester
12W–30L career · 4 lines in 2025
7%92%1%
3.19
Jennifer Talbot
17W–34L career · 2 lines in 2025
22%78%<1%
3.10
3.5
Lesley Discher
53W–64L career · 2 lines in 2025
22%78%<1%
3.10
3.5
Craig Emery
44W–93L career · 6 lines in 2025
29%71%<1%
3.07
3
Dan DeLong
56W–27L career · 6 lines in 2025
<1%36%64%
3.05
3
Gigi Oleson
41W–74L career · 2 lines in 2025
<1%49%51%
3.00
Natalie Luke
81W–150L career · 6 lines in 2025
61%39%<1%
2.96
3
Kathleen Macko
29W–43L career · 1 line in 2025
<1%67%33%
2.94
3.5
Lisa Studzinski
94W–126L career · 2 lines in 2025
68%32%<1%
2.94
3
Nancy Sinutko
48W–42L career · 5 lines in 2025
<1%69%31%
2.93
3
Christine Nathman-Parisi
63W–77L career · 1 line in 2025
<1%70%30%
2.93
3
Rose Wedemeyer
82W–66L career · 5 lines in 2025
1%94%5%
2.78
3
James Gajewski
1W–7L career · type M · 7 lines in 2025
not enough data
Susan Lukas
53W–59L career · 2 lines in 2025
9%90%1%
2.67
3
Christopher Wyatt
1W–16L career · 2 lines in 2025
22%78%<1%
2.60
Kevin White
0W–6L career · no lines in 2025
not enough data
William Belbot
2W–10L career · 2 lines in 2025
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.