Teams

TParis (Life Time)

2024 Singles 40 & Over League · 40 & Over Singles 3.5 Men - Mon PM

8 players · average NTRP 3.50 / NORTH CAROLINA

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Schedule6 played
2024-07-22vs JDichak (WSRC)Lost 03
L#1 SinglesTodd Paris vs Daniel Kolepp2-6, 2-6
L#2 SinglesDaniel Malecki vs Vladislav Valtsis3-6, 6-3
L#3 SinglesCJ ONeill vs Dhruv Bhatt1-6, 6-3, 0-1
2024-07-15vs VDatta (Raintree)Lost 12
L#1 SinglesStephen Polacek vs Paul Whitmore1-6, 2-6
L#2 SinglesDaniel Malecki vs Ty Leonard1-6, 1-6
W#3 SinglesTodd Paris vs Chris Ackerlund6-4, 7-5
2024-07-01vs KFranks (PPRSC)Lost 02
L#2 SinglesTodd Paris vs Tom Stapleton3-6, 2-6
L#3 SinglesCJ ONeill vs Kent Franks6-7, 0-6
2024-06-24vs BStover/RGogate (Blakeney)Split 11
L#1 SinglesStephen Polacek vs Sumit Gahlawat2-6, 1-6
W#3 SinglesDaniel Malecki vs Michel Abranches2-6, 7-6, 1-0
2024-06-17vs WDawson (Olde Providence)Split 11
W#2 SinglesTodd Paris vs Henry Ko3-6, 6-2, 1-0
L#3 SinglesCJ ONeill vs Will Smith0-6, 2-6
2024-06-03vs KSwain (Col Beatty)Lost 02
L#1 SinglesTodd Paris vs Sourav Parida0-6, 0-6
L#2 SinglesDaniel Malecki vs Rakesh Padhy1-6, 3-6
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 standings for 40 & Over Singles 3.5 Men - Mon PM have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.30 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.

3.55
CJ ONeill
usually #3 Singles 100% · published 3.5
3.49
Stephen Polacek
usually #1 Singles 100% · published 3.5
3.32
David Tyson
published 3.5
3.32
Ram Nanduri
published
3.21
Daniel Malecki
usually #2 Singles 75%, also #3 Singles 25% · published 3.5
3.18
Leonard Brecken
published
3.16
Todd Paris
usually #1 Singles 40%, also #2 Singles 40% · published 3.5
3.14
Kirk Tatge
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.

Todd Paris + Daniel Malecki123 matchesnot enough data
Todd Paris + Kirk Tatge123 matchesnot enough data
Todd Paris + Stephen Polacek213 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
CJ ONeill
67W–52L career · 3 lines in 2024
<1%36%64%
3.55
3.5
Stephen Polacek
99W–83L career · 2 lines in 2024
<1%52%48%
3.49
3.5
David Tyson
20W–12L career · no lines in 2024
1%89%9%
3.32
Ram Nanduri
5W–6L career · no lines in 2024
1%89%9%
3.32
3.5
Daniel Malecki
39W–64L career · 4 lines in 2024
6%92%2%
3.21
Leonard Brecken
2W–6L career · no lines in 2024
10%89%1%
3.18
3.5
Todd Paris
28W–47L career · 5 lines in 2024
13%86%1%
3.16
Kirk Tatge
6W–10L career · no lines in 2024
16%83%<1%
3.14

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.