Teams

IND-Sets Machine

2023 Mixed 18 & Over · 7.0

7 players · average NTRP 3.50 / EASTERN WASHINGTON

View scouting list →
Schedule3 played
2022-10-15vs EW-PC-BrooksLost 03
L#1 DoublesPeter Joseph / Michele Beaman vs Eldon Monson / Robin Jorgensen6-4, 1-6, 0-1
L#2 DoublesSergio Lopez / Cindy Pielli vs David Jones / Brooke Jones5-7, 4-6
L#3 DoublesMichelle Anslinger / Danny Anslinger vs Cory Brooks / Rhiannon Brooks4-6, 3-6
2022-10-15vs YTC-FranklinWon 21
L#1 DoublesPeter Joseph / Marissa Guzman vs Jonathan Whiteside / Megan Tweedy6-4, 3-6, 1-0
W#2 DoublesMichele Beaman / Scott Stephen vs Cole Rojan / Anne Rojan6-4, 3-6, 1-0
W#3 DoublesSergio Lopez / Cindy Pielli vs Chris Cantrell / Marcie Ehlis6-4, 6-3
2022-10-14vs SRC-Inland NorthwestWon 30
W#1 DoublesMichelle Anslinger / Danny Anslinger vs David Sarbacher / Kelli Geris2-6, 7-5, 1-0
W#2 DoublesScott Stephen / Marissa Guzman vs Michelle Gaberman / Joshua Cantu7-6, 6-3
W#3 DoublesMichele Beaman / Peter Joseph vs Duane Wilson / Melanie Niceler6-0, 6-1
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 standings5 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1YTC-McLean3072772
2IND-Sets Machine21541084
3PC-Holle12361389
4SRC-Inland Northwest12361488
5YTC-Kickin Aces03271494

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.25 estimated across 3 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.

3.35
Michele Beaman
usually #3 Doubles 33%, also #1 Doubles 33% · published 3.5
Danny Anslinger
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.24
Peter Joseph
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.17
Scott Stephen
usually #2 Doubles 100% · published 3.5
Marissa Guzman
usually #1 Doubles 50%, also #2 Doubles 50% · published
Michelle Anslinger
usually #1 Doubles 50%, also #3 Doubles 50% · published
Sergio Lopez
usually #2 Doubles 50%, also #3 Doubles 50% · 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.

Danny Anslinger + Michelle Anslinger11754% games+2.8% vs expected
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
Michele Beaman
77W–76L career · 3 lines in 2023
1%85%15%
3.35
3.5
Danny Anslinger
46W–43L career · 2 lines in 2023
not enough data
3.5
Peter Joseph
19W–25L career · 3 lines in 2023
4%92%3%
3.24
3.5
Scott Stephen
59W–55L career · 2 lines in 2023
12%88%1%
3.17
Marissa Guzman
7W–13L career · 2 lines in 2023
not enough data
Michelle Anslinger
26W–23L career · 2 lines in 2023
not enough data
Sergio Lopez
4W–3L career · 2 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.