Teams

4FAC-LEWIS 30 W/E WOMEN SINGLES SEM F2

2022 SEM FALL TEAM SINGLES · WOMEN 3.0 SINGLES SEM

9 players · average NTRP 3.08 / 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
2022-12-03vs 3WESS-LI 30 W/E WOMEN SINGLES SEM F2Split 11
L#1 SinglesChiara Delporto vs Laura Krauss5-7, 1-6
W#2 SinglesTraci Nix vs Qing Li6-0, 4-2
W#1 SinglesShannon Matuska vs Patricia Dejaeger6-0, 6-2
L#2 SinglesRanya Agha vs Alexandra Sviridova3-5
W#3 SinglesChristine Hunt vs Mary-France Oudin6-2, 6-0
W#1 SinglesChiara Delporto vs Jen Myers6-1, 6-2
L#1 SinglesShannon Matuska vs Tracy Jackson3-6, 2-6
L#2 SinglesChristine Hunt vs Lulu Shen3-6, 2-6
L#3 SinglesCarmen Walker vs Erin Lawrence1-6, 4-5
L#1 SinglesTraci Nix vs Alexandra Kosik6-7
W#2 SinglesMegan Kindt vs Alexandra Sviridova6-4, 1-6, 1-0
L#3 SinglesChiara Delporto vs Mary-France Oudin6-7, 1-1
L#1 SinglesJulie Kraemer vs Amy Horvath5-7, 1-6
L#2 SinglesMegan Kindt vs Jen Myers4-6, 3-6
W#3 SinglesCarmen Walker vs Melanie Hovey6-3, 3-3
W#1 SinglesShannon Matuska vs Erin Lawrence7-6, 4-1
W#3 SinglesRanya Agha vs Michelle Keilen6-3, 6-1
2022-10-08Won 10
W#2 SinglesShannon Matuska vs N/A6-0, 6-0
L#1 SinglesTraci Nix vs Amy Horvath4-6, 3-2
W#2 SinglesChristine Hunt vs Claudia Langsdorf6-4, 4-6, 1-0
W#3 SinglesRanya Agha vs Monica Green6-3, 2-6, 1-0
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 · WOMEN 3.0 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
12VTC-KING 30 W/E WOMEN SINGLES SEM F1712137134
23WESS-LI 30 W/E WOMEN SINGLES SEM F26218614141
36HV-BAHROU 30 W/E WOMEN SINGLES SEM F16217715161
44FAC-LEWIS 30 W/E WOMEN SINGLES SEM F253131122183
53SCWB-GILL 30 W/E WOMEN SINGLES SEM F153111327211
62LTF-OUDIN 30 W/E WOMEN SINGLES SEM F22451326175
71LTF-ANDERSON 30 W/E WOMEN SINGLES SEM F22691528215
81VTC-WIERNIK 30 W/E WOMEN SINGLES SEM F11761836227
94SCWB-LUBIN 30 W/E WOMEN SINGLES SEM F11751939241

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 2.92 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.

3.20
Shannon Matuska
usually #1 Singles 75%, also #2 Singles 25% · published 3.5
2.98
Traci Nix
usually #1 Singles 67%, also #2 Singles 33% · published
2.98
Ranya Agha
usually #3 Singles 67%, also #2 Singles 33% · published 3
2.94
Christine Hunt
usually #2 Singles 67%, also #3 Singles 33% · published 3
2.80
Julie Kraemer
usually #1 Singles 100% · published
Carmen Walker
usually #3 Singles 100% · published 3
Chiara Delporto
usually #1 Singles 67%, also #3 Singles 33% · published 3
2.63
Amira Lewis
published 3
Megan Kindt
usually #2 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.

Christine Hunt + Traci Nix3258% games+5.7% vs expected
Amira Lewis + Carmen Walker2437% games+0.8% vs expected
Ranya Agha + Carmen Walker404 matchesnot enough data
Megan Kindt + Traci Nix134 matchesnot enough data
Traci Nix + Shannon Matuska303 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
Shannon Matuska
75W–88L career · 4 lines in 2022
7%92%1%
3.20
Traci Nix
85W–66L career · 3 lines in 2022
<1%55%45%
2.98
3
Ranya Agha
113W–53L career · 3 lines in 2022
<1%57%43%
2.98
3
Christine Hunt
103W–111L career · 3 lines in 2022
<1%67%32%
2.94
Julie Kraemer
41W–46L career · 1 line in 2022
1%93%6%
2.80
3
Carmen Walker
61W–58L career · 2 lines in 2022
not enough data
3
Chiara Delporto
36W–44L career · 3 lines in 2022
not enough data
3
Amira Lewis
80W–134L career · no lines in 2022
15%84%<1%
2.63
Megan Kindt
33W–27L 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.