Teams

CDTA E 40&OM4.0 5Tam Franks Sun 1 $22

CDTA ESL 40 & Over · CDTA E 40&O Men 4.0

7 players · average NTRP 4.00 / CHICAGO

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 →
Schedule4 played
W#1 SinglesBob Schnoll vs Keith Boutell6-1, 6-4
W#2 DoublesRex J Lao / Steve Franks vs Mark Ainsworth / David Grimm6-4, 6-1
W#2 DoublesBob Schnoll / Chris McGuire vs Robert Buetikofer / Dwight Anderson3-6, 6-3, 1-0
W#1 SinglesKartheepan Sivaguru vs Daylen Davis6-3, 6-3
L#2 DoublesSteve Franks / Shane Anastasi vs Omar Montano / Norbert Glod3-6, 3-6
L#1 DoublesRex J Lao / Daniel Mendoza vs Derek Majka / Felix Danciu6-3, 6-7, 0-1
W#1 SinglesKartheepan Sivaguru vs Vijayakumar Velmurugan6-4, 6-0
L#2 DoublesSteve Franks / Mark Grazman vs Jonathan Cooper / Stephen Ewaldz6-3, 6-7, 0-1
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 standings8 teams · CDTA E 40&O Men 4.0
TeamWLInd. WInd. LSets lostGames lost
1CDTA E 40&OM4.0 1RT Ciuca Sat 4 $277023516170
2CDTA E 40&OM4.0 4Nielsen Phelps Sat 6 $225119511114
3CDTA E 40&OM4.0 8MTB Majka Sun 12 $2743131537273
4CDTA E 40&OM4.0 3RT Peroussanov Sat 5 $2734121633241
5CDTA E 40&OM4.0 6Oak OMalley Sun 7 $2234111737270
6CDTA E 40&OM4.0 7Naper Podwika Sun 4:30 $242391124169
7CDTA E 40&OM4.0 5Tam Franks Sun 1 $221581633238
8CDTA E 40&OM4.0 2Tam Bhat Sat 5 $221691938254

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 3.61 estimated across 5 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.

3.79
Kartheepan Sivaguru
usually #1 Singles 100% · published
Daniel Mendoza
published 4
3.75
Rex J Lao
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.62
Chris McGuire
usually #2 Doubles 100% · published 4
3.55
Bob Schnoll
usually #1 Singles 50%, also #2 Doubles 50% · published 4
3.34
Steve Franks
usually #2 Doubles 100% · published
Paul Zuffa
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.

Paul Zuffa + Bob Schnoll5553% games+1.2% vs expected
Steve Franks + Rex J Lao4250% gamesnot enough data
Bob Schnoll + Steve Franks123 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.

Kartheepan Sivaguru
43W–28L career · 2 lines in 2026
2%91%7%
3.79
4
Daniel Mendoza
19W–21L career · no lines in 2026
not enough data
Rex J Lao
54W–16L career · 2 lines in 2026
4%93%4%
3.75
4
Chris McGuire
12W–8L career · 1 line in 2026
20%80%<1%
3.62
4
Bob Schnoll
25W–22L career · 2 lines in 2026
35%65%<1%
3.55
Steve Franks
34W–57L career · 3 lines in 2026
87%13%<1%
3.34
Paul Zuffa
37W–32L 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.