Teams

2PEACH-PALAZZOLO 4.0W TEAM SINGLES FALL SEM F2

2023 SEM FALL TEAM SINGLES · WOMEN 4.0 SINGLES SEM

7 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 SinglesSamantha Palazzolo vs Caryn Thompson6-3, 0-6, 1-0
W#2 SinglesMarcia Varner vs Erin Mazurek Stone6-4, 3-1
W#1 SinglesSydney Rusu vs Amy Gonte6-1, 6-4
W#2 SinglesJocelyn Bierkle vs Kiri Beland1-6, 6-0, 1-0
L#1 SinglesDeanna Kaprelian vs Christina Endrud4-6, 4-6
W#2 SinglesSydney Rusu vs Andrea Jacobson6-4, 4-3
L#3 SinglesAshley Findlay vs Sali Refka6-7, 1-1
W#1 SinglesSamantha Palazzolo vs Vania White6-0, 6-0
W#2 SinglesDeanna Kaprelian vs Yumiko Farrell6-2, 6-6
W#1 SinglesSamantha Palazzolo vs Jamie Kuipers6-1, 6-4
W#2 SinglesDeanna Kaprelian vs Helen Cleary6-1, 6-1
W#3 SinglesJocelyn Bierkle vs N/A6-0, 6-0
L#1 SinglesSamantha Palazzolo vs Allison Foust2-6, 3-6
L#2 SinglesAna Trsic vs Andrea Rachwal1-6, 4-5
W#3 SinglesMarcia Varner vs Christi Brown4-6, 4-1
W#1 SinglesSydney Rusu vs Vania White6-1, 6-1
L#2 SinglesAshley Findlay vs Akemi Maebashi7-6, 1-3
W#3 SinglesMarcia Varner vs Yumiko Farrell6-0, 6-4
L#1 SinglesSamantha Palazzolo vs Susan Lassen6-4, 3-6, 0-1
L#2 SinglesAshley Findlay vs Jamie Kuipers3-6, 3-6
W#1 SinglesSamantha Palazzolo vs Susan Scott4-6, 5-2
W#2 SinglesSydney Rusu vs Christi Brown6-2, 6-0
W#3 SinglesJocelyn Bierkle vs Erin Mazurek Stone6-1, 5-3
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 · WOMEN 4.0 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
13CHIP-SPARR 4.0W TEAM SINGLES FALL SEM F18120715165
22PEACH-PALAZZOLO 4.0W TEAM SINGLES FALL SEM F263171022185
33DEER-RACHWAL 4.0W TEAM SINGLES FALL SEM F254141325191
41FAC-MAYO 4.0W TEAM SINGLES FALL SEM F154121534240
54BEV-STRACHAN 4.0W TEAM SINGLES FALL SEM F245121532241
64BLOOM-FARWELL 4.0W TEAM SINGLES FALL SEM F136141325208
71SCWB-FARRELL 4.0W TEAM SINGLES FALL SEM F236111634222
82WESS-DEMERINO 4.0W TEAM SINGLES FALL SEM F12772033233

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 3.71 estimated across 6 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.

3.91
Sydney Rusu
usually #2 Singles 50%, also #1 Singles 50% · published 4
3.80
Deanna Kaprelian
usually #2 Singles 67%, also #1 Singles 33% · published 4
3.77
Jocelyn Bierkle
usually #3 Singles 67%, also #2 Singles 33% · published 4
3.73
Marcia Varner
usually #3 Singles 67%, also #2 Singles 33% · published 4
3.63
Samantha Palazzolo
usually #1 Singles 100% · published
3.43
Ana Trsic
usually #2 Singles 100% · published 4
Ashley Findlay
usually #2 Singles 67%, also #3 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.

Marcia Varner + Jocelyn Bierkle7255% games+5.4% vs expected
Deanna Kaprelian + Marcia Varner224 matchesnot 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.

4
Sydney Rusu
62W–32L career · 4 lines in 2023
<1%75%25%
3.91
4
Deanna Kaprelian
66W–58L career · 3 lines in 2023
1%93%6%
3.80
4
Jocelyn Bierkle
55W–54L career · 3 lines in 2023
2%94%4%
3.77
4
Marcia Varner
209W–140L career · 3 lines in 2023
4%94%2%
3.73
Samantha Palazzolo
119W–105L career · 6 lines in 2023
16%84%<1%
3.63
4
Ana Trsic
72W–108L career · 1 line in 2023
72%28%<1%
3.43
Ashley Findlay
26W–16L career · 3 lines in 2023
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.