Teams

3FAC-NICOLSON 30 M FALL SINGLES SEM

2022 SEM FALL TEAM SINGLES · MEN 3.0 SINGLES SEM

7 players · average NTRP 3.12 / S.E. MICHIGAN

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
2022-12-10vs 2EAST-MITCHELL 30 M FALL SINGLES SEMSplit 11
L#1 SinglesHarvey Finkelberg vs Kwame Dildy4-6, 5-6
W#2 SinglesChee Cheong vs Josef Provido6-4, 6-0
W#1 SinglesChee Cheong vs Andrew Shina7-5, 1-6, 1-0
L#2 SinglesWei Lau vs Souheil Saba0-6, 1-6
W#3 SinglesCraig Halseth vs Jason Wilkinson6-4, 4-5
W#1 SinglesChee Cheong vs Mark Rifkin6-3, 6-3
W#2 SinglesHarvey Finkelberg vs Ryan Fitzpatrick6-1, 6-2
W#3 SinglesEric Nicolson vs Kyle Adrianson6-1, 4-6, 1-0
W#1 SinglesJeffrey Kahan vs William Strachan6-2, 6-0
W#2 SinglesChee Cheong vs Patrick Lee6-0, 6-2
W#3 SinglesHarvey Finkelberg vs Marty Mulcrone6-4, 4-2
L#1 SinglesHarvey Finkelberg vs Aaron Work1-6, 7-5, 0-1
W#2 SinglesWei Lau vs Damon Carter6-2, 6-1
L#3 SinglesEric Nicolson vs Matthew Bonventre2-6, 2-6
2022-10-08vs 1LIB-ATKISON 30 M FALL SINGLES SEMLost 12
L#1 SinglesHarvey Finkelberg vs Frank Manley4-6, 1-6
L#2 SinglesCraig Halseth vs Edward Karpiel4-6, 1-6
W#3 SinglesThomas Lurie vs Eric Lawson6-4, 4-4
2022-10-01vs 4CHIP-LOUTTS 30 M FALL SINGLES SEMLost 03
L#1 SinglesHarvey Finkelberg vs George Loutts4-6, 1-6
L#2 SinglesEric Nicolson vs Jeff Clark3-6, 4-6
L#3 SinglesThomas Lurie vs Randy Dickerman2-6, 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 standings8 teams · MEN 3.0 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
11LIB-ATKISON 30 M FALL SINGLES SEM701837109
24CHIP-LOUTTS 30 M FALL SINGLES SEM5214717145
37WESS-SCHEPPER 30 M FALL SINGLES SEM43111020165
43FAC-NICOLSON 30 M FALL SINGLES SEM4312921169
58EAST-BONVENTRE 30 M FALL SINGLES SEM4391223186
65BEV-STRACHAN 30 M FALL SINGLES SEM2571424194
72EAST-MITCHELL 30 M FALL SINGLES SEM1671424191
86MONY-FITZPATRICK 30 M FALL SINGLES SEM1661533208

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 2.81 estimated across 4 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.

3.13
Chee Cheong
usually #2 Singles 50%, also #1 Singles 50% · published 3.5
2.95
Craig Halseth
usually #2 Singles 50%, also #3 Singles 50% · published 3
2.63
Harvey Finkelberg
usually #1 Singles 67%, also #2 Singles 17% · published 3
2.53
Eric Nicolson
usually #3 Singles 67%, also #2 Singles 33% · published 3
Jeffrey Kahan
usually #1 Singles 100% · published
Thomas Lurie
usually #3 Singles 100% · published
Wei Lau
usually #2 Singles 100% · 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.

Thomas Lurie + Eric Nicolson4353% games+2.2% vs expected
Eric Nicolson + Harvey Finkelberg1442% 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.

3.5
Chee Cheong
54W–22L career · 4 lines in 2022
17%83%<1%
3.13
3
Craig Halseth
40W–35L career · 2 lines in 2022
<1%64%36%
2.95
3
Harvey Finkelberg
81W–84L career · 6 lines in 2022
16%84%<1%
2.63
3
Eric Nicolson
33W–41L career · 3 lines in 2022
41%59%<1%
2.53
Jeffrey Kahan
27W–15L career · 1 line in 2022
not enough data
Thomas Lurie
22W–32L career · 2 lines in 2022
not enough data
Wei Lau
34W–59L career · 2 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.