Teams

Liberty Park Tennis-Day

2023 Fall Indoor League-Saturday · 4.0W

13 players · average NTRP 3.81 / UTAH

View scouting list →
Schedule2 played
2023-12-09vs Ivory Ridge-Smith/AllenWon 10
W#1 Female DoublesAlexandra Spruill / Sofia Hayes vs Lisa Bullington / Nanette Brockbank3-6, 6-4, 1-0
2023-12-02Won 10
W#3 Female DoublesElaine Day / Alexandra Spruill vs Michelle Maxfield / Gretel Sampson6-1, 7-6
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 4.0W 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 3.45 estimated across 9 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.

4.13
Britney Klaetsch
published 4.5
3.78
Mae Alexander
published
3.76
Alexandra Spruill
usually #3 Female Doubles 50%, also #1 Female Doubles 50% · published 4
3.57
Jennifer Sampson
published 4
3.46
Claire McNulty
published 4
3.36
Carolyn Schmitz
published 4
Alicia Matsuura
published 3.5
3.24
Megan Reardon
published
3.16
Amanda Moore
published 3.5
2.63
Elaine Day
usually #3 Female Doubles 100% · published 3
Heather Evans
published
Michelle Thompson
published
Sofia Hayes
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.

Britney Klaetsch + Michelle Thompson7362% games+18.3% vs expected
Alexandra Spruill + Claire McNulty11751% games−1.1% vs expected
Amanda Moore + Claire McNulty2450% games−3.3% vs expected
Carolyn Schmitz + Amanda Moore3348% gamesnot enough data
Alexandra Spruill + Elaine Day123 matchesnot enough data
Alexandra Spruill + Mae Alexander303 matchesnot enough data
Alexandra Spruill + Heather Evans123 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.

4.5
Britney Klaetsch
18W–40L career · no lines in 2023
18%82%<1%
4.13
Mae Alexander
59W–37L career · no lines in 2023
<1%2%98%
3.78
4
Alexandra Spruill
51W–52L career · 2 lines in 2023
3%93%4%
3.76
4
Jennifer Sampson
209W–141L career · no lines in 2023
30%70%<1%
3.57
4
Claire McNulty
39W–51L career · no lines in 2023
62%38%<1%
3.46
4
Carolyn Schmitz
40W–32L career · no lines in 2023
85%15%<1%
3.36
3.5
Alicia Matsuura
3W–4L career · no lines in 2023
not enough data
Megan Reardon
40W–58L career · no lines in 2023
4%93%3%
3.24
3.5
Amanda Moore
53W–69L career · no lines in 2023
13%86%1%
3.16
3
Elaine Day
123W–244L career · 2 lines in 2023
17%83%<1%
2.63
Heather Evans
4W–16L career · no lines in 2023
not enough data
Michelle Thompson
7W–8L career · no lines in 2023
not enough data
Sofia Hayes
14W–20L 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.