Teams

3FAC-GORDON 4.0 men win singles SEM F2

2025 aSEM WINTER TEAM SINGLES · 2025 MEN 4.0 WINTER SINGLES SEM

8 players · average NTRP 4.00 / 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 →
Schedule9 played
W#1 SinglesCameron Weiss vs Geoff Michael6-3, 6-2
W#2 SinglesYash Solanki vs Andrew Ginnard6-1, 6-0
W#3 SinglesDamion Taylor vs Victor Michaels6-7, 6-1
2025-03-15Split 11
L#1 SinglesAlexander Demick vs Kevin Li4-6, 1-6
W#2 SinglesCameron Weiss vs Timothy Wilson6-0, 6-2
W#3 SinglesDamion Taylor vs Egor Alekseev6-3, 6-1
L#2 SinglesYash Solanki vs Geoff Michael6-4, 1-3
W#3 SinglesBob Abramson vs Andrew Ginnard6-3, 6-3
W#1 SinglesCameron Weiss vs Jonathan Batiu6-4, 7-6
W#1 SinglesAlexander Demick vs Matthew Cuff6-4, 4-2
W#2 SinglesYash Solanki vs James McKinney7-6
L#1 SinglesDamion Taylor vs Joseph Dembowski0-6, 2-6
W#1 SinglesAlexander Demick vs Kevin Li3-6, 6-2, 1-0
W#2 SinglesCameron Weiss vs Hill Weber6-1, 5-7, 1-0
L#1 SinglesDamion Taylor vs Matthew Cuff0-6, 2-6
W#2 SinglesCameron Weiss vs Chih Lin6-2, 6-3
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 · 2025 MEN 4.0 WINTER SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
13FAC-GORDON 4.0 men win singles SEM F28121614170
23EAST-KEAN 4.0 men win singles SEM F6218616143
34BLOOM-GOUTHAMAN 4.0 men win singles SEM F53111324195
44FAC-LI 4.0 men win singles SEM F254121531228
52CHIP-SHANKAR 4.0 men win singles SEM F245141329217
62PEACH-KLUNGLE 4.0 men win singles SEM F3381020166
71LIFE-REVELLO 4.0 men win singles SEM F1781633223
81HV-CLARKE 4.0 men win singles SEM F21872037249

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 3.85 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.

3.98
Alexander Demick
usually #1 Singles 100% · published 4
3.97
Cameron Weiss
usually #2 Singles 60%, also #1 Singles 40% · published 4
3.76
Yash Solanki
usually #2 Singles 100% · published 4
Bob Abramson
usually #3 Singles 100% · published 4
3.68
Damion Taylor
usually #1 Singles 50%, also #3 Singles 50% · published 4
Michael Freeman
published
Richard Allison
published
Sean Gordon
published
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
Alexander Demick
61W–18L career · 3 lines in 2025
<1%55%45%
3.98
4
Cameron Weiss
34W–7L career · 5 lines in 2025
<1%58%42%
3.97
4
Yash Solanki
41W–35L career · 3 lines in 2025
2%95%3%
3.76
4
Bob Abramson
18W–26L career · 1 line in 2025
not enough data
4
Damion Taylor
41W–51L career · 4 lines in 2025
8%91%1%
3.68
Michael Freeman
27W–20L career · no lines in 2025
not enough data
Richard Allison
2W–10L career · no lines in 2025
not enough data
Sean Gordon
16W–3L career · no lines in 2025
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.