Teams

JLuther (Raintree)

2022 Adult 40 & Over League · 40 & Over Adult 3.5 Men - Mon PM

11 players · average NTRP 3.50 / NORTH CAROLINA

View scouting list →
Schedule6 played
2022-05-02vs DMatters (Queens)Split 11
L#1 DoublesAndy Love / Jon Luther vs Tom Gill / David Richards2-6, 2-6
W#1 SinglesMichael Fresina vs Robert Marlowe6-0, 6-2
2022-04-04vs SSofsian (PCC)Won 20
W#1 DoublesAndy Love / Ty Leonard vs James Dye / Peter Barlow7-5, 6-3
W#1 SinglesMichael Fresina vs Gary Leavitt6-1, 6-3
2022-03-28vs PGriffiths (OPRC)Lost 01
L#1 DoublesAndy Love / Kevin Dorst vs Henry Ko / Jerry Lee4-6, 1-6
2022-03-21vs CWood (Carmel)Lost 02
L#1 DoublesJon Luther / Andy Love vs John Santospago / Jon Olin0-6, 3-6
L#1 SinglesMichael Fresina vs Patrick Dillon6-2, 2-6, 0-1
2022-03-07vs HPence (PLCC)Lost 01
L#1 DoublesJon Luther / Andy Love vs Marc Swann / Howard Pence6-7, 0-6
2022-02-28vs ABecker (JCC)Lost 01
L#1 SinglesMichael Fresina vs John Haviland6-2, 2-6, 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 standings for 40 & Over Adult 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 3.10 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.

3.18
Vikram Datta
published
3.17
Michael Fresina
usually #1 Singles 100% · published 3.5
3.16
Philip Solomon
published
3.15
Ty Leonard
published
3.13
Andy Love
usually #1 Doubles 100% · published 3.5
3.12
Chris Ackerlund
published 3.5
3.04
Jon Luther
published
2.90
Brian Austin
published 3.5
Jonathan Lindner
published
Norman Herland
published
Seth Marlowe
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.

Ty Leonard + Philip Solomon2348% games−1.2% vs expected
Andy Love + Philip Solomon213 matchesnot enough data
Michael Fresina + Philip Solomon123 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.

Vikram Datta
14W–18L career · no lines in 2022
8%91%1%
3.18
3.5
Michael Fresina
39W–53L career · 4 lines in 2022
10%90%1%
3.17
Philip Solomon
7W–11L career · no lines in 2022
11%89%<1%
3.16
Ty Leonard
5W–11L career · no lines in 2022
13%86%<1%
3.15
3.5
Andy Love
58W–90L career · 5 lines in 2022
17%83%<1%
3.13
3.5
Chris Ackerlund
6W–9L career · no lines in 2022
19%81%<1%
3.12
Jon Luther
3W–9L career · no lines in 2022
39%61%<1%
3.04
3.5
Brian Austin
5W–14L career · no lines in 2022
78%22%<1%
2.90
Jonathan Lindner
1W–5L career · no lines in 2022
not enough data
Norman Herland
0W–2L career · no lines in 2022
not enough data
Seth Marlowe
2W–3L career · no 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.