Teams

Bartz: Mix It Up 7.0 ES23

2023 MIXED 18 & OVER EARLY START · 7.0 MX

15 players · average NTRP 3.57 / NORTHERN

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 →
Schedule3 played
2022-12-11vs Eliason/Boese: B&W Ruff 7.0 ES23Won 10
W#2 DoublesKim Bartz / RJ Johnson vs Steve Boese / Kathy Burns1-6, 6-3, 1-0
2022-11-06vs Toleu: Racqueteers 7.0 ES23Lost 01
L#3 DoublesKim Bartz / RJ Johnson vs Bailey Lauters / Kiran Dwarakanath Mane4-6, 3-6
2022-10-16vs Ratelle 7.0 ES23Won 10
W#3 DoublesKim Bartz / RJ Johnson vs John Ratelle / Pamela Rulau7-6, 6-2
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 7.0 MX 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 3.44 estimated across 13 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.

4.03
Michael Weleczki
published
3.63
Carrie Chang
published 4
3.62
Nicole Weleczki
published
3.58
Rachel Lund
published
3.50
Andrei Kittelson
published 3.5
3.47
Sarah Curfman
published
3.45
Amy Gleason
published 3.5
3.39
Kim Bartz
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.31
Nackey Piedrahita
published
3.24
Fazel Haris
published 3.5
3.24
Charles Sunderland
published 3.5
3.17
Beth Arel
published 3.5
3.11
Gene Scow
published 3.5
RJ Johnson
published
Rick Jerz
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.

Beth Arel + Charles Sunderland224 matchesnot enough data
Nicole Weleczki + Michael Weleczki033 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.

Michael Weleczki
5W–12L career · no lines in 2023
<1%42%58%
4.03
4
Carrie Chang
14W–15L career · no lines in 2023
16%84%<1%
3.63
Nicole Weleczki
5W–8L career · no lines in 2023
19%81%<1%
3.62
Rachel Lund
54W–46L career · no lines in 2023
<1%27%73%
3.58
3.5
Andrei Kittelson
24W–6L career · no lines in 2023
<1%50%50%
3.50
Sarah Curfman
58W–43L career · no lines in 2023
<1%60%40%
3.47
3.5
Amy Gleason
28W–33L career · no lines in 2023
<1%66%34%
3.45
Kim Bartz
117W–122L career · 3 lines in 2023
<1%81%19%
3.39
Nackey Piedrahita
14W–6L career · no lines in 2023
1%92%7%
3.31
3.5
Fazel Haris
20W–24L career · no lines in 2023
3%95%2%
3.24
3.5
Charles Sunderland
3W–4L career · no lines in 2023
3%95%2%
3.24
3.5
Beth Arel
13W–17L career · no lines in 2023
10%90%1%
3.17
3.5
Gene Scow
16W–34L career · no lines in 2023
20%80%<1%
3.11
RJ Johnson
4W–11L career · no lines in 2023
not enough data
Rick Jerz
12W–16L 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.