Teams

FCCC BLUE

2023 CTA TWILIGHT - NOCO · MEN 4.5 - TWILIGHT - NOCO

9 players · average NTRP 4.40 / COLORADO

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
2023-09-07vs CSU GREENLost 01
L#2 DoublesBill Bruschke / Christian Bachelet vs Patrick Smith / Ian Powers4-6, 7-6, 1-0
2023-08-24vs CSU BLACKWon 21
W#1 DoublesEric Himler / Tom Weller vs Michael Wagner / Seth Krammer6-4, 2-6, 1-0
L#1 SinglesShawn Farnell vs Bruce Chung1-6, 2-6
W#2 DoublesKen Kawakami / Ryan Selby vs Andrew Hampson / Matthew Penhale6-3, 6-2
2023-08-17vs LVTA ORANGEWon 30
W#1 DoublesShawn Farnell / Ken Kawakami vs Brent McNair / Brent Herring6-1, 6-1
W#1 SinglesRyan Selby vs Christian Muna7-6, 6-1
W#2 DoublesWilliam Peisner / Christian Bachelet vs N/A6-0, 6-0
2023-07-27vs CSU GOLDLost 01
L#1 DoublesChristian Bachelet / Tom Weller vs Jesse Chavez / Jeff Keepman2-6, 3-6
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 MEN 4.5 - TWILIGHT - NOCO 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 4.09 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.

4.31
Shawn Farnell
usually #1 Singles 50%, also #1 Doubles 50% · published 4.5
Eric Himler
usually #1 Doubles 100% · published 4.5
4.21
Ryan Selby
usually #2 Doubles 50%, also #1 Singles 50% · published 4.5
4.16
Tom Weller
usually #1 Doubles 100% · published
4.05
Bill Bruschke
published 4.5
3.93
Ken Kawakami
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.91
Christian Bachelet
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
Todd Kooi
published
William Peisner
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.

Ryan Selby + Shawn Farnell9259% games+5.4% vs expected
Tom Weller + Eric Himler4160% games+4.1% vs expected
Tom Weller + Christian Bachelet4348% games+0.7% vs expected
Tom Weller + Bill Bruschke134 matchesnot enough data
Bill Bruschke + Ken Kawakami134 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.

4.5
Shawn Farnell
78W–76L career · 2 lines in 2023
1%92%7%
4.31
4.5
Eric Himler
6W–7L career · 1 line in 2023
not enough data
4.5
Ryan Selby
55W–29L career · 2 lines in 2023
5%94%1%
4.21
Tom Weller
35W–40L career · 1 line in 2023
11%89%<1%
4.16
4.5
Bill Bruschke
8W–22L career · no lines in 2023
36%64%<1%
4.05
Ken Kawakami
9W–16L career · 2 lines in 2023
71%29%<1%
3.93
4
Christian Bachelet
47W–64L career · 3 lines in 2023
<1%76%24%
3.91
Todd Kooi
7W–7L career · no lines in 2023
not enough data
William Peisner
6W–1L 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.