Teams

2WESS-BROWN 2.5 coed singles sem

2022 SEM TEAM SINGLES - WINTER · 2022 COED 2.5 WINTER SINGLES SEM

6 players · average NTRP 3.10 / 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#1 SinglesAlexander Rossi vs Robert Kubis6-2, 3-0
L#2 SinglesNina Brown vs Yue Guo2-6, 4-6
W#3 SinglesLaura Schepper vs Sunny Jang6-3, 2-4
2022-03-05vs 3EAST-THOMAS 2.5 coed singles semLost 12
W#1 SinglesAlexander Rossi vs David Ball6-2, 6-3
L#2 SinglesAgnieszka Palarz vs Esther Thomas3-6, 3-2
L#3 SinglesTina Aleshker vs VIctoria Ervin1-6, 0-6
L#1 SinglesAlexander Rossi vs Robert Kubis6-7
L#2 SinglesKae Ohgata vs Yue Guo2-6, 0-6
2022-02-13vs 3EAST-THOMAS 2.5 coed singles semLost 03
L#1 SinglesAgnieszka Palarz vs David Ball2-6, 1-6
L#2 SinglesLaura Schepper vs Esther Thomas2-6, 0-6
L#3 SinglesTina Aleshker vs Shannon Murray3-6, 2-6
L#2 SinglesNina Brown vs Qing Radebaugh2-6, 4-6
L#3 SinglesLaura Schepper vs Maggie Scheurer1-6, 1-6
2022-01-22vs 3EAST-THOMAS 2.5 coed singles semSplit 11
W#1 SinglesAlexander Rossi vs Jeffrey Froggett3-6, 5-6
L#2 SinglesLaura Schepper vs Barbara Bates0-6, 2-6
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 standings3 teams · 2022 COED 2.5 WINTER SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
13EAST-THOMAS 2.5 coed singles sem51144797
24CHIP-THOMPSON 2.5 coed singles sem3381019152
32WESS-BROWN 2.5 coed singles sem1551327177

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 3.09 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.

3.85
Agnieszka Palarz
usually #1 Singles 50%, also #2 Singles 50% · published 4
2.88
Nina Brown
usually #2 Singles 100% · published 3
Alexander Rossi
usually #1 Singles 100% · published 3
2.55
Laura Schepper
usually #2 Singles 50%, also #3 Singles 50% · published 3
Kae Ohgata
usually #2 Singles 100% · published 2.5
Tina Aleshker
usually #3 Singles 100% · 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.

Agnieszka Palarz + Nina Brown11074% games+15.7% vs expected
Laura Schepper + Tina Aleshker2441% games+0.2% vs expected
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
Agnieszka Palarz
191W–76L career · 2 lines in 2022
<1%87%13%
3.85
3
Nina Brown
146W–135L career · 2 lines in 2022
<1%83%17%
2.88
3
Alexander Rossi
15W–31L career · 4 lines in 2022
not enough data
3
Laura Schepper
52W–41L career · 4 lines in 2022
35%65%<1%
2.55
2.5
Kae Ohgata
25W–45L career · 1 line in 2022
not enough data
Tina Aleshker
10W–25L 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.