Teams

4BLOOM-JOO Winter 4.5+ men singles sem

2022 SEM TEAM SINGLES - WINTER · 2022 MEN 4.5+ WINTER SINGLES SEM

5 players · average NTRP 4.25 / 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
L#2 SinglesSHASHEEN POTHULA vs Matthew Cracchiolo2-6, 2-6
W#3 SinglesDavid Lai vs Michael Evans6-1, 4-6, 1-0
W#2 SinglesJason Joo vs Nichola Stojanov6-4, 6-4
W#1 SinglesJason Joo vs Gary Jessee6-1, 6-3
W#2 SinglesNicholas Payne vs Trenton Townsend6-2, 6-3
L#3 SinglesSHASHEEN POTHULA vs Noah Gedrimas1-6, 1-6
L#1 SinglesDavid Lai vs Trenton Townsend7-6, 4-6, 0-1
L#2 SinglesSHASHEEN POTHULA vs Gary Jessee6-4, 3-6, 0-1
L#3 SinglesNicholas Payne vs Scott Prybys6-4, 3-6, 1-0
W#1 SinglesJason Joo vs Kevin Madden6-0, 6-1
L#2 SinglesDavid Lai vs Scott Prybys4-6, 3-6
W#1 SinglesJason Joo vs Robert Martin6-2, 6-1
W#3 SinglesErik Kafarski vs Ihor Debryn7-6, 6-4
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 standings3 teams · 2022 MEN 4.5+ WINTER SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
14BLOOM-JOO Winter 4.5+ men singles sem5110820158
23DEER-KERIN Winter 4.5+ men singles sem3310819171
32PINE-CRACCHIOLO Winter 4.5+ men singles sem1571124176

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 4.46 estimated across 1 rated player. 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.

4.46
Jason Joo
usually #1 Singles 75%, also #2 Singles 25% · published
David Lai
usually #1 Singles 33%, also #2 Singles 33% · published 4.5
Erik Kafarski
usually #3 Singles 100% · published 4
Nicholas Payne
usually #3 Singles 50%, also #2 Singles 50% · published
SHASHEEN POTHULA
usually #2 Singles 67%, also #3 Singles 33% · 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.

Jason Joo
95W–36L career · 4 lines in 2022
<1%61%39%
4.46
4.5
David Lai
20W–11L career · 3 lines in 2022
not enough data
4
Erik Kafarski
16W–19L career · type S · 1 line in 2022
not enough data
Nicholas Payne
9W–11L career · 2 lines in 2022
not enough data
SHASHEEN POTHULA
31W–27L 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.