Teams

Sets Pistols 3.5

2022 USTA ADULT 40 and OVER - BOISE · TV

11 players · average NTRP 3.61 / IDAHO

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

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Flight standings7 teams · TV
TeamWLInd. WInd. LSets lostGames lost
1The Jimi Hindrance Experience72221432296
2MSA Tecate (Mas Serve Aces)72231334306
3Sets Pistols 3.563211535309
4MSA Modelo (Mas Serve Aces)27102655365
5Slapshots27102656390
6CHAK DE BOISE STARS18102655378
7N.D.S.1892758388

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 3.40 estimated across 6 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.

Dan Wold
usually #1 Doubles 53%, also #2 Doubles 20% · published 4
3.71
Chad Trued
usually #1 Singles 67%, also #3 Doubles 20% · published 4
3.57
Bob Haycock
usually #1 Doubles 47%, also #2 Doubles 33% · published 3.5
3.44
Micah Vogt
published 3.5
3.36
Anthony Saulino
published 3.5
3.32
Derrick O'Neill
published 3.5
Casey Boren
usually #3 Doubles 43%, also #2 Doubles 36% · published 3.5
David Andrews
published 3.5
2.99
Jay Blackford
published 3.5
Jeffrey Raulston
usually #1 Singles 44%, also #1 Doubles 44% · published
Randy Fullmer
usually #3 Doubles 50%, also #2 Doubles 38% · 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.

Jay Blackford + Anthony Saulino61045% games+1.0% vs expected
Chad Trued + Bob Haycock231455% games−1.6% vs expected
Casey Boren + Anthony Saulino14655% gamesnot enough data
Casey Boren + Bob Haycock8648% gamesnot enough data
Jeffrey Raulston + Bob Haycock4950% gamesnot enough data
Casey Boren + Dan Wold3642% gamesnot enough data
Dan Wold + Jeffrey Raulston6355% gamesnot enough data
Dan Wold + Micah Vogt2644% gamesnot 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
Dan Wold
22W–43L career · 15 lines in 2022
not enough data
4
Chad Trued
67W–77L career · 15 lines in 2022
5%93%1%
3.71
3.5
Bob Haycock
145W–102L career · type A · 15 lines in 2022
<1%30%70%
3.57
3.5
Micah Vogt
78W–61L career · no lines in 2022
<1%66%34%
3.44
3.5
Anthony Saulino
113W–63L career · no lines in 2022
<1%86%14%
3.36
3.5
Derrick O'Neill
77W–85L career · no lines in 2022
1%91%8%
3.32
3.5
Casey Boren
84W–99L career · 14 lines in 2022
not enough data
3.5
David Andrews
11W–22L career · no lines in 2022
not enough data
3.5
Jay Blackford
40W–46L career · no lines in 2022
53%47%<1%
2.99
Jeffrey Raulston
52W–45L career · 9 lines in 2022
not enough data
Randy Fullmer
20W–63L career · 8 lines in 2022
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.