Teams

Mike Buckingham

2025 USTA MIXED 18 and OVER - BOISE · TV

9 players · average NTRP 4.50 / IDAHO

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 →
Schedule4 played
2025-06-22vs Idaho/Buckingham/18&Over10.0XLost 02
L#1 DoublesAustin Swing / Lauren Kreutzer vs Sandy Vo / Dan Buckingham2-6, 5-7
L#2 DoublesBryan Duncan / Jennifer Swing vs Ellie Gamble / Tyler Neill4-6, 4-6
2025-06-22Lost 01
L#3 DoublesLauren Kreutzer / Bryan Duncan vs Ellie Gamble / Anthony Hunt2-6, 0-6
2025-06-20Lost 02
L#1 DoublesLauren Kreutzer / Bryan Duncan vs Theresa Haskell / Paul Christensen0-6, 2-6
L#2 DoublesAustin Swing / Kellee Bates vs Dan Buckingham / Sandy Vo2-6, 6-3, 1-0
2025-06-15vs Idaho/Buckingham/18&Over10.0XWon 10
W#3 DoublesJennifer Swing / Austin Swing vs Oleksandra Ivanova / Tyler Neill1-6, 6-1, 1-0
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 TV 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 4.30 estimated across 4 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.

Austin Swing
usually #1 Doubles 33%, also #2 Doubles 33% · published 5
4.53
Rilee Moorhead
published 4.5
4.47
Lauren Drew
published 4.5
Bryan Duncan
usually #2 Doubles 33%, also #1 Doubles 33% · published 4.5
4.12
Kellee Bates
published 4.5
4.11
Mike Buckingham
usually #2 Doubles 40%, also #1 Doubles 40% · published 4
Jeff Buckingham
usually #3 Doubles 44%, also #1 Doubles 33% · published
Jennifer Swing
usually #2 Doubles 50%, also #3 Doubles 50% · published
Lauren Kreutzer
usually #1 Doubles 67%, also #3 Doubles 33% · 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.

Mike Buckingham + Rilee Moorhead5945% games−3.7% vs expected
Rilee Moorhead + Jeff Buckingham282253% gamesnot enough data
Lauren Drew + Jeff Buckingham0629% gamesnot enough data
Lauren Kreutzer + Austin Swing033 matchesnot enough data
Austin Swing + Jennifer Swing213 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.

5
Austin Swing
5W–8L career · 3 lines in 2025
not enough data
4.5
Rilee Moorhead
74W–34L career · no lines in 2025
<1%42%58%
4.53
4.5
Lauren Drew
65W–33L career · no lines in 2025
<1%60%40%
4.47
4.5
Bryan Duncan
1W–6L career · 3 lines in 2025
not enough data
4.5
Kellee Bates
103W–61L career · no lines in 2025
18%82%<1%
4.12
4
Mike Buckingham
137W–88L career · 5 lines in 2025
<1%20%80%
4.11
Jeff Buckingham
50W–61L career · 9 lines in 2025
not enough data
Jennifer Swing
59W–22L career · 2 lines in 2025
not enough data
Lauren Kreutzer
23W–11L career · 3 lines in 2025
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.