Teams

3BRC- Scott 30 WOMEN Fall SINGLES F2

2025 cSEM FALL TEAM SINGLES · WOMEN 3.0 SINGLES SEM

12 players · average NTRP 3.05 / 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 →
Schedule10 played
L#1 SinglesDianna Guglielmetti vs Amber Moore7-6, 0-1, 0-1
L#2 SinglesChristine Scott vs Haley Reid4-6, 3-6
W#3 SinglesJessica Schwartz vs Kristin Stepanek6-4, 3-3
2025-12-06vs 1TROY-Li 30 WOMEN Fall SINGLES F2Lost 03
L#1 SinglesDianna Guglielmetti vs Jamie Lichtle2-6, 3-6
L#2 SinglesBethany Petrylka vs Jaclyn Pulice1-6, 2-6
L#3 SinglesAgatha Pawlikowski vs Anna Lavrova2-6, 1-6
L#1 SinglesAgatha Pawlikowski vs Andrea Abram2-6, 3-1
L#2 SinglesChristine Scott vs Marie Hansen0-6, 3-6
W#1 SinglesBethany Petrylka vs Rebeca Beliard7-5, 4-2
W#2 SinglesJessica Schwartz vs Theresa Farley6-0, 6-2
W#3 SinglesHana Henderson vs Heidi Hermann6-2, 6-4
L#1 SinglesLise Cragen vs Pamela Crites4-6, 0-6
L#2 SinglesChristine Scott vs Nicole Davenport1-6, 3-6
L#1 SinglesBethany Petrylka vs Jenifer Horn2-6, 4-6
L#2 SinglesJennifer Newcombe vs Haley Reid4-6, 4-3
2025-10-26vs 1TROY-Li 30 WOMEN Fall SINGLES F2Lost 02
L#1 SinglesKaterina Golbiw vs Jamie Lichtle5-7, 1-3
L#2 SinglesJessica Schwartz vs Jaclyn Pulice1-6, 2-6
W#1 SinglesKaterina Golbiw vs Rose Wedemeyer6-0, 6-0
L#2 SinglesChristine Scott vs Katherine Mcskimming4-6, 3-2
W#3 SinglesLise Cragen vs Kathleen Cleland6-3, 4-6
W#1 SinglesBethany Petrylka vs Melanie Hovey2-6, 6-4, 1-0
W#2 SinglesAffaf Arabbo vs Heidi Hermann6-4, 4-6, 1-0
W#3 SinglesHana Henderson vs Theresa Farley6-4, 5-2
L#1 SinglesJessica Schwartz vs Fiona Baughman3-6, 1-6
L#2 SinglesAffaf Arabbo vs Cecilia Ortiz-Capisano3-6, 1-6
L#3 SinglesAgatha Pawlikowski vs Amber Joseph7-6, 2-5
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 standings16 teams · WOMEN 3.0 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
11SCWB-Du 30 WOMEN Fall SINGLES F310025512157
23HV-Moore 30 WOMEN Fall SINGLES F1812437123
34EAST-Thomas 30 WOMEN Fall SINGLES F27322816166
44WESS-Wehbe 30 WOMEN Fall SINGLES F373151530236
56EAST-Horn 30 WOMEN Fall SINGLES F264171329233
62TROY-Hovey 30 WOMEN Fall SINGLES F264161430238
74LIB-Inoue 30 WOMEN Fall SINGLES F154141324196
82FAC-Lewis 30 WOMEN Fall SINGLES F154111629209
91TROY-Li 30 WOMEN Fall SINGLES F255131731243
103WESS-Brown 30 WOMEN Fall SINGLES F346131730247
112SCWB-Flannery 30 WOMEN Fall SINGLES F237131732251
125LT-Dejaeger 30 WOMEN Fall SINGLES F337121835238
135EAST-Lukas 30 WOMEN Fall SINGLES F237121836245
146WESS-Smiley Studier 30 WOMEN Fall SINGLES F337121837263
153BRC- Scott 30 WOMEN Fall SINGLES F237102039278
161FAC-Brooks 30 WOMEN Fall SINGLES F10952248289

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 2.88 estimated across 10 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.

3.38
Katerina Golbiw
usually #1 Singles 100% · published 3.5
2.98
Bethany Petrylka
usually #1 Singles 75%, also #2 Singles 25% · published 3
2.91
Dianna Guglielmetti
usually #1 Singles 100% · published 3
2.90
Catherine Topf
published 3
2.88
Jessica Schwartz
usually #2 Singles 50%, also #3 Singles 25% · published
2.84
Lise Cragen
usually #3 Singles 50%, also #1 Singles 50% · published 3
2.83
Agatha Pawlikowski
usually #3 Singles 67%, also #1 Singles 33% · published 3
Affaf Arabbo
usually #2 Singles 100% · published 3
Emily Wize
published 3
2.74
Jennifer Newcombe
usually #2 Singles 100% · published
2.71
Hana Henderson
usually #3 Singles 100% · published 3
2.65
Christine Scott
usually #2 Singles 100% · published 3
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.

Hana Henderson + Jessica Schwartz4549% games+11.2% vs expected
Christine Scott + Catherine Topf123 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.

3.5
Katerina Golbiw
33W–11L career · 2 lines in 2025
<1%82%18%
3.38
3
Bethany Petrylka
48W–29L career · 4 lines in 2025
<1%57%43%
2.98
3
Dianna Guglielmetti
15W–30L career · 2 lines in 2025
<1%75%25%
2.91
3
Catherine Topf
84W–80L career · no lines in 2025
<1%78%22%
2.90
Jessica Schwartz
23W–42L career · 4 lines in 2025
<1%81%18%
2.88
3
Lise Cragen
24W–28L career · 2 lines in 2025
<1%89%11%
2.84
3
Agatha Pawlikowski
8W–10L career · 3 lines in 2025
1%89%10%
2.83
3
Affaf Arabbo
3W–14L career · 2 lines in 2025
not enough data
3
Emily Wize
16W–28L career · no lines in 2025
not enough data
Jennifer Newcombe
33W–75L career · 1 line in 2025
3%94%2%
2.74
3
Hana Henderson
19W–28L career · 2 lines in 2025
5%93%1%
2.71
3
Christine Scott
65W–145L career · 4 lines in 2025
13%87%<1%
2.65

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.