Teams

Beerman - M. Darch

2022 Polk Tri-Level · 3.5

12 players · average NTRP 3.36 / REGION_4

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Schedule4 played
2022-08-02vs Beerman - N. GiustoLost 01
L#1 DoublesJan Borden / Jennifer Rogers vs Meriel' Peterich / Jennifer Spann1-6, 2-6
2022-07-19vs Polk/GuinnLost 01
L#1 DoublesMelissa Darch / Anna Previte vs Leah Carrerou / Monica Trujillo6-7, 5-7
2022-06-28Lost 01
L#1 DoublesJan Borden / Melanie Langley vs Briquel Joiner / Catherine Mueller1-6, 7-6, 0-1
2022-06-21vs Polk/GuinnWon 10
W#1 DoublesCynthia Nettles / Anna Previte vs Leah Carrerou / Melissa Burns6-2, 6-3
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 3.5 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 2.90 estimated across 11 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.

Jan Borden
usually #1 Doubles 100% · published 3.5
3.19
Anna Previte
usually #1 Doubles 100% · published 3.5
3.15
Melanie Langley
published
3.11
Cynthia Nettles
published 3.5
3.10
Hayley Hurd
published 3.5
3.03
Melissa Darch
published 3.5
2.92
Karen Hogg
published 3
2.81
Laurie Grieger
published
2.71
Sabina Elmasri
published
2.67
Regina Espitia
published
2.64
Hetal Rajguru
published 3
2.59
Tracey Ritter
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.

Melissa Darch + Anna Previte211750% games+9.1% vs expected
Jan Borden + Anna Previte3447% gamesnot enough data
Jan Borden + Melissa Darch3353% gamesnot enough data
Anna Previte + Karen Hogg3251% gamesnot enough data
Melissa Darch + Karen Hogg224 matchesnot enough data
Melissa Darch + Hayley Hurd123 matchesnot enough data
Laurie Grieger + Karen Hogg213 matchesnot enough data
Laurie Grieger + Regina Espitia123 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
Jan Borden
40W–45L career · 2 lines in 2022
not enough data
3.5
Anna Previte
99W–73L career · 2 lines in 2022
7%92%1%
3.19
Melanie Langley
2W–6L career · no lines in 2022
13%87%<1%
3.15
3.5
Cynthia Nettles
2W–9L career · no lines in 2022
20%80%<1%
3.11
3.5
Hayley Hurd
3W–4L career · no lines in 2022
22%78%<1%
3.10
3.5
Melissa Darch
63W–77L career · no lines in 2022
42%58%<1%
3.03
3
Karen Hogg
84W–99L career · no lines in 2022
<1%74%26%
2.92
Laurie Grieger
12W–18L career · no lines in 2022
1%92%7%
2.81
Sabina Elmasri
2W–2L career · no lines in 2022
5%94%1%
2.71
Regina Espitia
3W–9L career · no lines in 2022
9%90%1%
2.67
3
Hetal Rajguru
1W–8L career · no lines in 2022
14%86%<1%
2.64
Tracey Ritter
2W–14L career · no lines in 2022
25%75%<1%
2.59

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.