Teams

HCC - C. Maccullough

2022 Hillsborough Adult 40 & Over · 4.5 Adult 40 & Over - Men

9 players · average NTRP 4.42 / REGION_3

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Schedule6 played
2022-06-11vs TYCC - G. ColdironWon 10
W#2 DoublesJamie Mckibban / Chris Canfield vs Fernando Gonzalez / John Courier6-4, 7-5
2022-05-21vs HILLS - Davis Island - M. DixonSplit 11
L#1 DoublesMatt Laccabue / Alejandro Mucino vs Ben Tucker / Michael Dixon1-6, 5-7
W#2 DoublesJamie Mckibban / Anthony Hatori vs Brent Filbert / Joseph Richards4-6, 5-3
2022-05-14vs Cheval - A. AldeenWon 20
W#2 DoublesAlejandro Mucino / William Wymer vs Peter Marsocci / Felix Tromp6-0, 6-4
W#3 DoublesMatt Laccabue / Richard Sobieray vs Vijay Paul / Craig Arndt7-6, 6-1
2022-05-07Won 10
W#1 DoublesDavid Porter / Jamie Mckibban vs Greg Bauer / John Courier5-7, 7-6, 1-0
2022-04-16vs HILLS - Davis Island - M. DixonWon 10
W#1 DoublesJamie Mckibban / Gregory Hebard vs Michael Dixon / Geoffrey Jones6-2, 6-3
2022-04-09vs Cheval - A. AldeenLost 01
L#2 DoublesMatt Laccabue / Alejandro Mucino vs Sean McQuillan / Peter Marsocci6-4, 3-6, 0-1
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 standings for 4.5 Adult 40 & Over - Men 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 7 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.

4.49
Clark MacCullough
published 4.5
4.42
Jamie Mckibban
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
4.42
Manuel Alvarez
published
4.40
Chris Canfield
published 4.5
4.22
Alejandro Mucino
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
4.13
William Wymer
published
4.06
Matt Laccabue
usually #2 Doubles 33%, also #3 Doubles 33% · published 4.5
Charles Levinus
published 4
Sean Vickery
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.

Alejandro Mucino + Matt Laccabue1538% 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.

4.5
Clark MacCullough
8W–6L career · no lines in 2022
<1%54%46%
4.49
4.5
Jamie Mckibban
109W–29L career · 4 lines in 2022
<1%73%27%
4.42
Manuel Alvarez
23W–2L career · no lines in 2022
<1%74%26%
4.42
4.5
Chris Canfield
13W–3L career · no lines in 2022
<1%78%21%
4.40
4.5
Alejandro Mucino
24W–15L career · 3 lines in 2022
4%94%2%
4.22
William Wymer
14W–11L career · no lines in 2022
17%83%<1%
4.13
4.5
Matt Laccabue
41W–37L career · 3 lines in 2022
32%68%<1%
4.06
4
Charles Levinus
0W–2L career · type S · no lines in 2022
not enough data
Sean Vickery
21W–20L career · no 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.