Teams

2PEACH-HOCH 60 mix 40&O SEM f2

2022 SEM WINTER MIXED 40 & OVER · 2022 60 MIXED 40 & OVER SEM F

9 players · average NTRP 3.14 / 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 →
Schedule3 played
2022-03-25vs MI/EVENSON 40&OVER 6.0 MIXEDLost 01
L#3 DoublesHeidi Maglicic / Jack Carter vs Nancy Pfeifer / Aaron Faust1-6, 0-6
2022-03-04vs MI/EVENSON 40&OVER 6.0 MIXEDWon 10
W#2 DoublesHeidi Maglicic / Matthew Waldner vs Trish DeFrain / Donald D Murray6-3, 5-7, 1-0
2022-02-11Lost 01
L#1 DoublesHeidi Maglicic / Matthew Waldner vs Nancy Pfeifer / David Fajardo4-6, 2-6
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 standings12 teams · 2022 60 MIXED 40 & OVER SEM F
TeamWLInd. WInd. LSets lostGames lost
13FAC-CONWAY 60 mix 40&O SEM f3902617151
23CHIP-MCKENZIE 60 mix 40&O SEM f18122515195
3MI/EVENSON 40&OVER 6.0 MIXED7115922188
44LIB-BARDEN 60 mix 40&O SEM f154131429240
51SCWB-BIKHLEYZER 60 mix 40&O SEM f354121532248
61EAST-MITCHELL 60 mix 40&O SEM f244121228228
72LIFE-HICKS 60 mix 40&O SEM f345141326207
81CARBONE-CARAVAN 60 mix 40&O SEM f13691836264
92TRAVIS-ZIMMERMAN 60 mix 40&O SEM f127101736266
102PEACH-HOCH 60 mix 40&O SEM f21791532240
11drop 681358 LIB-KERR 60 mix 40&O SEM f000000
124WESS-BROWN 60 mix 40&O SEM f30922551311

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 2.85 estimated across 7 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.

3.21
Joanne Gaines
usually #2 Doubles 56%, also #1 Doubles 22% · published 3.5
3.08
Andrea Szabo
usually #1 Doubles 50%, also #2 Doubles 33% · published 3.5
2.93
Christine Nathman-Parisi
usually #1 Doubles 100% · published 3
2.89
John da Via
usually #1 Doubles 50%, also #2 Doubles 38% · published 3
2.71
Heidi Maglicic
usually #1 Doubles 33%, also #2 Doubles 33% · published 3
2.61
Judy Hoch
usually #2 Doubles 56%, also #3 Doubles 22% · published 3
2.54
Cheryl Hartel
usually #3 Doubles 63%, also #2 Doubles 25% · published 3
Thomas Sklenar
usually #3 Doubles 40%, also #1 Doubles 40% · published
Yini Chen
usually #2 Doubles 33%, also #1 Doubles 33% · 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.

Judy Hoch + John da Via201850% games+4.2% vs expected
Joanne Gaines + John da Via2444% gamesnot enough data
Thomas Sklenar + Cheryl Hartel314 matchesnot enough data
Thomas Sklenar + Christine Nathman-Parisi303 matchesnot enough data
Thomas Sklenar + Judy Hoch033 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.

3.5
Joanne Gaines
100W–176L career · 9 lines in 2022
6%93%1%
3.21
3.5
Andrea Szabo
118W–87L career · 6 lines in 2022
26%74%<1%
3.08
3
Christine Nathman-Parisi
63W–77L career · 4 lines in 2022
<1%70%30%
2.93
3
John da Via
56W–48L career · 8 lines in 2022
<1%79%21%
2.89
3
Heidi Maglicic
76W–119L career · 3 lines in 2022
6%93%1%
2.71
3
Judy Hoch
62W–122L career · type A · 9 lines in 2022
20%80%<1%
2.61
3
Cheryl Hartel
61W–105L career · 8 lines in 2022
38%62%<1%
2.54
Thomas Sklenar
18W–38L career · 5 lines in 2022
not enough data
Yini Chen
72W–40L career · 6 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.