Teams

Freeman/40s/5.5/NC

2026 Man · Cov Southern Combo 40 & Over - Women Night

14 players · average NTRP 2.83 / LOUISIANA

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Flight standings for Cov Southern Combo 40 & Over - Women Night have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 2.67 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.

3.02
Chantel Freeman
usually #1 Doubles 38%, also #2 Doubles 33% · published 3
2.85
Genna Donnes
usually #1 Doubles 71%, also #2 Doubles 24% · published 3
2.80
Abby Morse
usually #1 Doubles 52%, also #3 Doubles 30% · published 3
2.78
Angela Palmisano
usually #1 Doubles 50%, also #2 Doubles 25% · published 3
2.40
Christin Vilardo
usually #2 Doubles 40%, also #3 Doubles 30% · published 2.5
2.18
Blair Edwards
usually #3 Doubles 57%, also #2 Doubles 43% · published 2.5
Jennifer Sillars
usually #3 Doubles 48%, also #2 Doubles 38% · published
Lindsey Palmer
usually #3 Doubles 29%, also #2 Doubles 24% · published
Lynette Lobell
usually #3 Doubles 65%, also #2 Doubles 18% · published
Melissa Lama
usually #3 Doubles 71%, also #2 Doubles 24% · published
Mignon Hess
usually #1 Singles 47%, also #1 Doubles 24% · published
Natalie Oubre
usually #2 Doubles 67%, also #3 Doubles 17% · published
Sarah Mitchell
usually #2 Doubles 52%, also #1 Doubles 24% · published
Tymple Smith
usually #1 Doubles 35%, also #2 Doubles 35% · 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.

Abby Morse + Chantel Freeman5260% gamesnot enough data
Lynette Lobell + Melissa Lama0721% gamesnot enough data
Genna Donnes + Angela Palmisano1440% gamesnot enough data
Christin Vilardo + Melissa Lama1429% gamesnot enough data
Jennifer Sillars + Sarah Mitchell134 matchesnot enough data
Jennifer Sillars + Christin Vilardo224 matchesnot enough data
Genna Donnes + Sarah Mitchell224 matchesnot enough data
Genna Donnes + Christin Vilardo404 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
Chantel Freeman
54W–48L career · 40 lines in 2026
<1%44%56%
3.02
3
Genna Donnes
16W–21L career · 17 lines in 2026
<1%88%12%
2.85
3
Abby Morse
23W–43L career · 23 lines in 2026
1%93%6%
2.80
3
Angela Palmisano
12W–14L career · 8 lines in 2026
2%94%5%
2.78
2.5
Christin Vilardo
21W–31L career · 29 lines in 2026
0%77%23%
2.40
2.5
Blair Edwards
6W–5L career · type S · 7 lines in 2026
0%99%1%
2.18
Jennifer Sillars
13W–34L career · 21 lines in 2026
not enough data
Lindsey Palmer
6W–11L career · 15 lines in 2026
not enough data
Lynette Lobell
10W–22L career · 17 lines in 2026
not enough data
Melissa Lama
5W–25L career · 17 lines in 2026
not enough data
Mignon Hess
33W–43L career · 33 lines in 2026
not enough data
Natalie Oubre
6W–15L career · 12 lines in 2026
not enough data
Sarah Mitchell
11W–35L career · 21 lines in 2026
not enough data
Tymple Smith
7W–25L career · 23 lines in 2026
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.