Teams

Team Nelson

2023 Coppermine Tri-Level 18 & Over · Coppermine Tri Level Women 3.5,3.0,2.5

11 players · average NTRP 3.58 / MARYLAND

View scouting list →
Schedule5 played
2023-10-01vs Team MorrisLost 01
L#2 DoublesMargaret Grow-Sadler / Marie Savoie vs Gail Lawson / Anne Schaefer2-6, 0-6
2023-09-24vs Team ScottLost 01
L#3 DoublesSophia Crawley / Margaret Grow-Sadler vs Kate Matterer / Elizabeth Smith2-6, 2-6
2023-09-10vs Team MorrisWon 10
W#1 DoublesSophia Crawley / Margaret Grow-Sadler vs Linda Harrell / Seema Iyer6-3, 6-3
2023-08-30vs Team ScottLost 02
L#2 DoublesSteffie Cannella Beck / Cecilia-Hien Phan vs Jean Acuna / Jennifer Exelby2-6, 2-6
L#3 DoublesMargaret Grow-Sadler / Melanie Yaksich vs Kate Matterer / Elizabeth Smith4-6, 3-6
2023-08-21vs Team MorrisLost 01
L#2 DoublesCecilia-Hien Phan / Julie Pistorio vs Roshni Fifadra / Cheryl Royce6-7, 1-6
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 standings for Coppermine Tri Level Women 3.5,3.0,2.5 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 3.13 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.

3.83
Kimberly Sandhu
usually #3 Doubles 60%, also #1 Doubles 40% · published 4
3.74
Katie Tetrault
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.59
Kimberly Ford
published
3.53
Na Yi
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.07
Steffie Cannella Beck
usually #3 Doubles 50%, also #2 Doubles 40% · published 3.5
2.97
Julie Pistorio
published
2.85
Nicole Lubin
published
2.74
Margaret Grow-Sadler
usually #3 Doubles 50%, also #1 Doubles 25% · published 3
2.59
Cecilia-Hien Phan
usually #2 Doubles 100% · published 3
2.42
Melanie Yaksich
published
Sophia Crawley
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.

Katie Tetrault + Na Yi8456% gamesnot enough data
Katie Tetrault + Kimberly Sandhu213 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
Kimberly Sandhu
275W–138L career · 5 lines in 2023
1%90%10%
3.83
4
Katie Tetrault
144W–98L career · 4 lines in 2023
3%94%2%
3.74
Kimberly Ford
55W–21L career · no lines in 2023
<1%25%75%
3.59
4
Na Yi
198W–103L career · 6 lines in 2023
42%58%<1%
3.53
3.5
Steffie Cannella Beck
114W–111L career · 10 lines in 2023
29%71%<1%
3.07
Julie Pistorio
5W–9L career · no lines in 2023
<1%59%41%
2.97
Nicole Lubin
0W–3L career · no lines in 2023
88%12%<1%
2.85
3
Margaret Grow-Sadler
40W–66L career · 4 lines in 2023
3%94%2%
2.74
3
Cecilia-Hien Phan
140W–186L career · 2 lines in 2023
25%75%<1%
2.59
Melanie Yaksich
2W–12L career · no lines in 2023
74%26%<1%
2.42
Sophia Crawley
4W–7L career · no 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.