Teams

LIB-Barden 6.0X 55&O F

2026 cSEM MIX FALL 55 & OVER · 55 & Over 6.0X

13 players · average NTRP 3.00 / 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 →
Flight standings6 teams · 55 & Over 6.0X
TeamWLInd. WInd. LSets lostGames lost
1PEACH-Hoch 6.0X 55&O F000000
2WESS-Dennis 6.0X 55&O F000000
3BHC-Burg 6.0X 55&O F000000
4LIB-Barden 6.0X 55&O F000000
5TROY-Vondell 6.0X 55&O F000000
6EAST-Mitchell 6.0X 55&O F000000

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 2.71 estimated across 8 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.

3.01
Ursula Jakob
published 3.5
2.90
2.87
Barry St Pierre
published 3
2.86
Xuerong Mu
published
2.63
Lori Ferris
published
2.57
Steve Strauss
published
2.54
Jun Wei
published
2.29
Janet Barden
published 2.5
John Elliott
published
Patrick Haley
published
Paul Johnston
published
Todd Moore
published
Toufic Hamaoui
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.

Xuerong Mu + Jun Wei5261% games−0.1% vs expected
Barry St Pierre + Lichee St. Pierre142443% games−9.9% vs expected
John Elliott + Janet Barden71743% 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.

3.5
Ursula Jakob
101W–96L career · no lines in 2026
48%52%<1%
3.01
3
Lichee St. Pierre
100W–111L career · no lines in 2026
<1%78%21%
2.90
3
Barry St Pierre
107W–165L career · no lines in 2026
<1%84%16%
2.87
Xuerong Mu
102W–51L career · no lines in 2026
<1%85%15%
2.86
Lori Ferris
73W–93L career · no lines in 2026
15%84%<1%
2.63
Steve Strauss
27W–22L career · no lines in 2026
29%71%<1%
2.57
Jun Wei
25W–13L career · no lines in 2026
37%63%<1%
2.54
2.5
Janet Barden
91W–119L career · no lines in 2026
0%95%5%
2.29
John Elliott
13W–21L career · no lines in 2026
not enough data
Patrick Haley
18W–17L career · no lines in 2026
not enough data
Paul Johnston
14W–8L career · no lines in 2026
not enough data
Todd Moore
1W–6L career · no lines in 2026
not enough data
Toufic Hamaoui
1W–1L career · no lines in 2026
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.