Teams

LCTA40/Betros/CCC

2022 USTA 40 & Over Spring · 40 & over Men 4.0

9 players · average NTRP 4.00 / SOUTH CAROLINA

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 →
Schedule7 played
2022-03-15Lost 01
L#2 DoublesJoseph Dennig / Blair Jennings vs Patrick Brown - (DQ) / Charles Allen6-4, 3-6, 0-1
2022-03-08Lost 01
L#1 SinglesPatrick Brown - (DQ) vs Richard Blackburn6-7, 6-1, 0-1
2022-03-01Lost 01
L#2 DoublesWayne Richardson / Noel Goodrich vs Patrick Brown - (DQ) / Mullins Mcleod0-6, 0-6
2022-02-22Lost 01
L#1 DoublesClaudio Carrara / Lawrence Brock vs Martin Skelly / Patrick Brown - (DQ)5-7, 4-6
2022-02-15Lost 01
L#1 SinglesChristophe Paume vs Patrick Brown - (DQ)4-6, 0-6
2022-02-08Lost 01
L#1 SinglesJames Kane vs Patrick Brown - (DQ)0-6, 0-6
2022-02-01Lost 01
L#2 DoublesSamuel Bennett / Doyle Dreesen vs Patrick Brown - (DQ) / Isaac Morton3-6, 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 Men 4.0 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 3.72 estimated across 7 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.

Patrick Brown
usually #2 Doubles 43%, also #1 Singles 43% · published 4.5
3.94
Robert Brice
published
3.86
Mark Andrews
published
3.86
John Killian
published
James Dyke Jr
published 4
3.74
Martin Skelly
published
3.72
3.58
James Craigie
published 4
3.33
Isaac Morton
published 3.5
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.

Mark Andrews + Martin Skelly6160% games+4.9% vs expected
Mark Andrews + John Killian7065% games+4.0% vs expected
Martin Skelly + Christopher Betros5160% games+2.5% vs expected
Isaac Morton + John Killian3250% gamesnot enough data
Mark Andrews + Robert Brice404 matchesnot enough data
Isaac Morton + James Craigie314 matchesnot enough data
Martin Skelly + James Craigie123 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.

4.5
Patrick Brown
7W–15L career · 7 lines in 2022
not enough data
Robert Brice
13W–3L career · no lines in 2022
<1%68%32%
3.94
Mark Andrews
29W–6L career · no lines in 2022
<1%86%14%
3.86
John Killian
30W–9L career · no lines in 2022
<1%86%14%
3.86
4
James Dyke Jr
1W–1L career · type S · no lines in 2022
not enough data
Martin Skelly
29W–6L career · no lines in 2022
3%95%2%
3.74
4
Christopher Betros
18W–9L career · no lines in 2022
5%94%1%
3.72
4
James Craigie
28W–22L career · no lines in 2022
27%73%<1%
3.58
3.5
Isaac Morton
25W–19L career · no lines in 2022
1%90%9%
3.33

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.