Teams

3CHIP-DOUGLASS Winter 4.0 men singles sem f1

2022 SEM TEAM SINGLES - WINTER · 2022 MEN 4.0 WINTER SINGLES SEM

8 players · average NTRP 3.90 / 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 →
Schedule6 played
W#2 SinglesAndrew Mah vs Kevin Konkle6-1, 4-5
W#3 SinglesArun Veeraraghavan vs Noe Erasga4-6, 6-4, 1-0
W#2 SinglesLaurentiu Cucos vs George Baure6-0, 6-0
L#3 SinglesEgor Alekseev vs Michael Mooney6-7, 0-6
W#1 SinglesDaniel Ferreira vs Dharshan Medonza7-5, 5-1
W#2 SinglesLaurentiu Cucos vs Todd Lucas6-0, 4-6, 1-0
W#3 SinglesArun Veeraraghavan vs James Reid6-1, 3-6, 1-0
W#1 SinglesDaniel Ferreira vs Dae-Hee Kwak6-0, 6-4
W#2 SinglesAndrew Mah vs Gerald Lammers6-4, 4-3
W#3 SinglesLaurentiu Cucos vs George Baure6-2, 6-1
W#2 SinglesDaniel Ferreira vs Eliot Heaton6-4, 2-6, 1-0
W#3 SinglesLaurentiu Cucos vs Colin Wilcox6-0, 6-1
L#2 SinglesEgor Alekseev vs Brian Cobus1-6, 4-5
L#3 SinglesArun Veeraraghavan vs Hunter St Pierre3-6, 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 · 2022 MEN 4.0 WINTER SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
11FAC-MAHMOOD Winter 4.0 men singles sem f26216818170
23BEV-ROSEN Winter 4.0 men singles sem f26215921187
33CHIP-DOUGLASS Winter 4.0 men singles sem f15115313121
44BLOOM-MANEPALLI Winter 4.0 men singles sem f253111323189
54HV-CLARKE Winter 4.0 men singles sem f13371123150
62PEACH-CUPPLES Winter 4.0 men singles sem f226111331226
71LIB-LEE Winter 4.0 men singles sem f11551326181
85DEER-ARENS Winter 4.0 men singles sem f21771734237

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 3.50 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.

3.76
Andrew Mah
usually #2 Singles 100% · published 4
Daniel Ferreira
usually #1 Singles 67%, also #2 Singles 33% · published 4
Egor Alekseev
usually #2 Singles 50%, also #3 Singles 50% · published 4
3.68
Thomas Rhodes
published
3.34
Michael Balagna
published 4
3.24
James Douglass
published 3.5
Arun Veeraraghavan
usually #3 Singles 100% · published
Laurentiu Cucos
usually #2 Singles 50%, also #3 Singles 50% · 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 Rhodes + Michael Balagna314 matchesnot enough data
James Douglass + Andrew Mah224 matchesnot enough data
Thomas Rhodes + James Douglass213 matchesnot enough data
James Douglass + Michael Balagna123 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
Andrew Mah
94W–73L career · 2 lines in 2022
2%95%3%
3.76
4
Daniel Ferreira
24W–25L career · 3 lines in 2022
not enough data
4
Egor Alekseev
14W–41L career · 2 lines in 2022
not enough data
Thomas Rhodes
95W–109L career · no lines in 2022
8%91%1%
3.68
4
Michael Balagna
27W–50L career · no lines in 2022
88%12%<1%
3.34
3.5
James Douglass
71W–121L career · no lines in 2022
3%94%2%
3.24
Arun Veeraraghavan
12W–16L career · 3 lines in 2022
not enough data
Laurentiu Cucos
9W–16L career · 4 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.