Teams

2PEACH-CUPPLES 40 M FALL SINGLES SEM F2

2022 SEM FALL TEAM SINGLES · MEN 4.0 SINGLES SEM

6 players · average NTRP 3.75 / 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 →
Schedule4 played
2022-12-03vs 4DEER-ARENS 40 M FALL SINGLES SEM F2Split 11
W#1 SinglesJose Arriaga vs Steven Arens7-6, 6-0
L#2 SinglesRobert Cupples vs MacIej Pietrowicz1-6, 4-6
L#1 SinglesMatthew Canterbury vs Cameron Britz1-6, 2-6
L#2 SinglesJonathan Batiu vs Aaron Rosen4-6, 6-4, 0-1
W#3 SinglesRobert Cupples vs N/A6-0, 6-0
L#1 SinglesMatthew Canterbury vs Louis Wyre0-6, 3-6
L#2 SinglesHAN UL LEE vs Ajit Sarnaik4-6, 2-6
L#1 SinglesHAN UL LEE vs Dotun Ajao5-7, 1-1
W#2 SinglesDavid Klungle vs Oleg Pojidaev6-1, 6-4
W#3 SinglesRobert Cupples vs WON YONG HWANG6-3, 7-5
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 standings9 teams · MEN 4.0 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
11FAC-MAHMOOD 40 M FALL SINGLES SEM F18121612161
21EAST-KEAN 40 M FALL SINGLES SEM F27118613128
34DEER-ARENS 40 M FALL SINGLES SEM F24312921158
45BEV-ROSEN 40 M FALL SINGLES SEM F243111024181
53HV-CLARKE 40 M FALL SINGLES SEM F145111634234
62FAC-DEMICK 40 M FALL SINGLES SEM F135121223181
74CHIP-DOUGLASS 40 M FALL SINGLES SEM F12671736238
82PEACH-CUPPLES 40 M FALL SINGLES SEM F21441121146
93BLOOM-MANEPALLI 40 M FALL SINGLES SEM F21651632203

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 3.67 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.

3.78
Jonathan Batiu
usually #2 Singles 100% · published
3.77
David Klungle
usually #2 Singles 100% · published
HAN UL LEE
usually #2 Singles 50%, also #1 Singles 50% · published 4
3.46
Robert Cupples
usually #3 Singles 67%, also #2 Singles 33% · published 3.5
Jose Arriaga
usually #1 Singles 100% · published
Matthew Canterbury
usually #1 Singles 100% · 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.

Jonathan Batiu
40W–37L career · 1 line in 2022
2%94%5%
3.78
David Klungle
29W–28L career · 1 line in 2022
2%94%4%
3.77
4
HAN UL LEE
6W–12L career · 2 lines in 2022
not enough data
3.5
Robert Cupples
148W–197L career · 3 lines in 2022
<1%64%36%
3.46
Jose Arriaga
17W–17L career · 1 line in 2022
not enough data
Matthew Canterbury
11W–28L 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.