Teams

3SCWB-GAY 35 M FALL SINGLES SEM

2022 SEM FALL TEAM SINGLES · MEN 3.5 SINGLES SEM

6 players · average NTRP 3.50 / 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
2022-12-17vs 2WESS-ZUGER 35 M FALL SINGLES SEMLost 12
L#1 SinglesJulian Gay vs Ranadeb Chaudhuri1-6, 1-6
W#2 SinglesBill Casey vs Richard Duffy6-4, 4-3
L#3 SinglesVimal Saigal vs Anirudh Bharadhwaj4-6, 6-0, 0-1
2022-11-05Won 10
W#1 SinglesJulian Gay vs N/A6-0, 6-0
L#1 SinglesBill Casey vs Sota Nakamura2-6, 5-5
W#2 SinglesJulian Gay vs Ryan Weiss6-0, 6-2
W#3 SinglesTaek Kim vs Brady Wilson6-4, 6-2
2022-10-15vs 5DEER-GURN 35 M FALL SINGLES SEMLost 03
L#1 SinglesTaek Kim vs Timothy Throgmorton3-6, 4-6
L#2 SinglesJulian Gay vs Joshua Ewald6-4, 3-6, 0-1
L#3 SinglesVimal Saigal vs Dennis Gurn1-6, 4-6
2022-10-08vs 1LIB-WYNN 35 M FALL SINGLES SEMLost 12
L#1 SinglesVimal Saigal vs Karl Tek0-6, 1-6
L#2 SinglesJulian Gay vs Michael Wynn4-6, 4-4
W#3 SinglesMichael Bloom vs Ramon Gallardo7-5, 4-1
L#1 SinglesBill Casey vs Youngjun Woo3-6, 2-3
W#2 SinglesJulian Gay vs Rishi Bhattacharyya7-6, 2-3, 1-0
L#3 SinglesMichael Bloom vs Kiran Bandiatmakur3-6, 4-3
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 standings7 teams · MEN 3.5 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
15DEER-GURN 35 M FALL SINGLES SEM5112615138
24LIB-KORNFELD 35 M FALL SINGLES SEM327817123
32WESS-ZUGER 35 M FALL SINGLES SEM3310819150
41LIB-WYNN 35 M FALL SINGLES SEM3381022163
56EAST-MITCHELL 35 M FALL SINGLES SEM236917140
68FAC-CROUSON 35 M FALL SINGLES SEM249918129
73SCWB-GAY 35 M FALL SINGLES SEM2481018135

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 3.26 estimated across 3 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.

3.45
Bill Casey
usually #1 Singles 67%, also #2 Singles 33% · published 3.5
3.19
Julian Gay
usually #2 Singles 67%, also #1 Singles 33% · published 3.5
3.15
Patrick Partyka
published 3.5
Michael Bloom
usually #3 Singles 100% · published
Taek Kim
usually #1 Singles 50%, also #3 Singles 50% · published
Vimal Saigal
usually #3 Singles 67%, also #1 Singles 33% · 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.

Julian Gay + Patrick Partyka1438% 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
Bill Casey
50W–25L career · 3 lines in 2022
<1%66%34%
3.45
3.5
Julian Gay
54W–111L career · 6 lines in 2022
7%92%1%
3.19
3.5
Patrick Partyka
33W–35L career · no lines in 2022
13%87%<1%
3.15
Michael Bloom
19W–24L career · 2 lines in 2022
not enough data
Taek Kim
25W–11L career · 2 lines in 2022
not enough data
Vimal Saigal
7W–16L career · 3 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.