Teams

C40SM - Strokes Left in the Tank - SEP

Adult 40 & Over · 40 & Over Adult Men - 3.5

9 players · average NTRP 3.25 / SOUTH CAROLINA

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Schedule2 played
2020-03-08vs C40SP - Karma's a B! @# - RKWon 30
W#1 SinglesJohn McKenzie vs Reaves McLeod6-1, 6-0
W#2 DoublesLee Elliott / Jay Cleary vs Roger Sears / Thad Cleary7-5, 4-6, 1-0
W#3 DoublesJohn Carrington / James Clements vs Justin Peterson / Timothy Herbkersman6-3, 2-6, 1-0
2020-03-06vs C40FH-Bad Boyz Club- RKLost 04
L#1 DoublesJames Clements / Tom Tracy vs Freddie Hardwick / Michael Guffee6-1, 4-6, 0-1
L#1 SinglesJay Cleary vs Wendell McCoy3-6, 2-6
L#2 DoublesJohn McKenzie / Jeffrey Waris vs Wesley Graybill / Bill Winslow3-6, 4-6
L#3 DoublesStephen Marshall / Donald Godish vs Mark Pleasant / Edwin Martin Jr1-6, 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 standings7 teams · 40 & Over Adult Men - 3.5
TeamWLInd. WInd. LSets lostGames lost
1C40BE - CaveManSlam - BCC3112412118
2C40SF - Shirtless Wildcards - WWD2044866
3C40FH-Bad Boyz Club- RK2193885
4C40SM - Strokes Left in the Tank - SEP11351277
5C40SG-Across The River-HB127513115
6C40RH - Tennis Mafia - TCC0104848
7C40SP - Karma's a B! @# - RK0301224135

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 3.13 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.

3.54
John Carrington
usually #3 Doubles 100% · published
3.47
Tom Tracy
usually #1 Doubles 100% · published
3.31
Jay Cleary
usually #2 Doubles 50%, also #1 Singles 50% · published
3.25
Stephen Marshall
usually #3 Doubles 100% · published
3.20
Lee Elliott
usually #2 Doubles 100% · published
3.19
James Clements
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
2.59
Jeffrey Waris
usually #2 Doubles 100% · published
2.48
Donald Godish
usually #3 Doubles 100% · published 3
John McKenzie
usually #1 Singles 50%, also #2 Doubles 50% · 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.

Stephen Marshall + Tom Tracy21760% games+5.3% vs expected
James Clements + Jeffrey Waris1443% gamesnot enough data
James Clements + Tom Tracy2349% 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.

John Carrington
83W–54L career · 1 line in 2020
39%61%<1%
3.54
Tom Tracy
120W–73L career · 1 line in 2020
<1%58%42%
3.47
Jay Cleary
2W–8L career · 2 lines in 2020
93%7%<1%
3.31
Stephen Marshall
50W–47L career · 1 line in 2020
3%95%3%
3.25
Lee Elliott
77W–32L career · 1 line in 2020
6%93%1%
3.20
3.5
James Clements
62W–145L career · 2 lines in 2020
8%91%1%
3.19
Jeffrey Waris
17W–99L career · 1 line in 2020
24%76%<1%
2.59
3
Donald Godish
22W–64L career · 1 line in 2020
56%44%<1%
2.48
John McKenzie
1W–1L career · 2 lines in 2020
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.