Teams

McElhany - PCC

2024 Escambia Combo 18 & Over · 5.5 Combo 18 & Over - Men

11 players · average NTRP 3.00 / REGION_1

View scouting list →
Schedule2 played
2024-12-12vs Escambia/Landt/18&Over5.5MLost 03
L#1 DoublesShamus Prindiville / Joshua Lewis vs Matthew Meekins / Peyton Blackledge2-6, 2-6
L#2 DoublesMatthew Myer / Mike Esmonde vs Collin Crowson / Addison van Pelt1-6, 2-6
L#3 DoublesRoman Kowalski / Brody Mcelhany vs Xiaobo Dong / Ryan Worley6-4, 2-6, 0-1
2024-11-14vs Escambia/Landt/18&Over5.5MLost 03
L#1 DoublesMatthew O'Neill / Kyle Harvey vs Matthew Meekins / Addison van Pelt3-6, 3-6
L#2 DoublesShamus Prindiville / Joshua Lewis vs Xiaobo Dong / Collin Crowson4-6, 6-4, 0-1
L#3 DoublesBrody Mcelhany / Eric Rasmussen vs Robert Landt / Joseph Tegenkamp6-7, 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 5.5 Combo 18 & 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 2.83 estimated across 10 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.

3.46
Matthew O'Neill
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.06
Shamus Prindiville
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.95
Kyle Harvey
usually #1 Doubles 100% · published
2.82
Roman Kowalski
usually #3 Doubles 100% · published
2.76
Forrest Neal
published
Brad Mathis
published 3
2.71
Mike Esmonde
usually #2 Doubles 100% · published
2.71
Matthew Myer
usually #2 Doubles 100% · published
2.66
Joshua Lewis
published
2.65
Brody Mcelhany
usually #3 Doubles 100% · published 3
2.56
Eric Rasmussen
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.

Joshua Lewis + Shamus Prindiville314 matchesnot enough data
Brody Mcelhany + Matthew Myer213 matchesnot enough data
Forrest Neal + Kyle Harvey303 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.

Matthew O'Neill
38W–21L career · 2 lines in 2024
<1%60%40%
3.46
Shamus Prindiville
11W–11L career · 2 lines in 2024
<1%33%67%
3.06
Kyle Harvey
7W–10L career · 1 line in 2024
<1%64%36%
2.95
Roman Kowalski
8W–5L career · 1 line in 2024
1%89%10%
2.82
Forrest Neal
7W–5L career · no lines in 2024
3%93%4%
2.76
3
Brad Mathis
3W–2L career · no lines in 2024
not enough data
Mike Esmonde
5W–14L career · 1 line in 2024
7%91%2%
2.71
Matthew Myer
14W–10L career · 1 line in 2024
7%91%2%
2.71
Joshua Lewis
5W–7L career · no lines in 2024
12%87%1%
2.66
3
Brody Mcelhany
8W–10L career · 2 lines in 2024
14%85%1%
2.65
Eric Rasmussen
1W–2L career · no lines in 2024
34%66%<1%
2.56

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.