Teams

Oxford

Advancing Tri-Level · 4.0 Men

17 players · average NTRP 3.88 / ALLEGHENY MNTN.

View scouting list →
Schedule6 played
2023-12-02vs PTA AcesWon 10
W#2 DoublesAndrew Clarke / Michael Marinus Young vs Greg Radick / Matt Flinner4-6, 6-0, 1-0
2023-11-12vs PTA AcesWon 20
W#1 DoublesNathaniel Horner / Brian Miklavic vs Karl Haider / Shankar Ramani6-4, 7-5
W#2 DoublesJoe Bertagna / Andrew Clarke vs Evan Perilstein / Daniel Shabat1-6, 6-2, 1-0
2023-11-04vs PTA AcesWon 30
W#1 DoublesAashish Jog / Michael Albaugh vs Matt Flinner / David Silverstein6-0, 6-1
W#2 DoublesJustin Hensel / Joshua Bloom vs Greg Radick / Shankar Ramani7-5, 6-1
W#3 DoublesJoe Bertagna / JT Thomas vs Benjamin Capo / Daniel Shabat6-2, 6-2
2023-10-21vs PTA AcesSplit 11
W#1 DoublesJacob Braun / Brian Miklavic vs Karl Haider / David Silverstein6-3, 5-7, 1-0
L#2 DoublesMichael Albaugh / Will Judkis vs Chris Lucci / Matt Flinner2-6, 7-5, 0-1
2023-10-15vs PTA AcesWon 21
W#1 DoublesAashish Jog / Christopher Shute vs Evan Perilstein / Drew Majerick6-0, 6-0
L#2 DoublesJoshua Bloom / Will Judkis vs Greg Radick / Chris Lucci6-4, 3-6, 0-1
W#3 DoublesSteven Wolk / Richard Jones vs Benjamin Capo / Daniel Shabat6-2, 2-6, 1-0
2023-10-08vs PTA AcesWon 20
W#1 DoublesJacob Braun / Nathaniel Horner vs Karl Haider / David Silverstein6-2, 6-2
W#2 DoublesJustin Hensel / Brian Miklavic vs Shankar Ramani / Doug Wolf6-2, 6-2
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 standings3 teams · 4.0 Men
TeamWLInd. WInd. LSets lostGames lost
1Oxford5112614147
2PTA339922162
3Glen Creek1561225184

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 3.48 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.

Armando Pazos
published 4.5
4.19
Christopher Shute
usually #1 Doubles 100% · published 4.5
3.96
Aashish Jog
usually #1 Doubles 100% · published 4
Jacob Braun
published 4
3.74
Michael Albaugh
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.64
Justin Hensel
usually #2 Doubles 100% · published
3.34
Michael Marinus Young
usually #2 Doubles 100% · published
3.31
Brian Miklavic
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.26
Alfred Valle
published 3.5
Andrew Clarke
published 3.5
3.18
JT Thomas
usually #3 Doubles 100% · published 3.5
3.13
Steven Wolk
usually #3 Doubles 100% · published
3.06
Joe Bertagna
usually #3 Doubles 50%, also #2 Doubles 50% · published
Joshua Bloom
published
Nathaniel Horner
usually #1 Doubles 100% · published
Richard Jones
published
Will Judkis
usually #2 Doubles 100% · 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.

Armando Pazos + Aashish Jog5072% games+16.3% vs expected
JT Thomas + Joe Bertagna3252% gamesnot enough data
Will Judkis + Brian Miklavic134 matchesnot enough data
Justin Hensel + Michael Albaugh404 matchesnot enough data
Will Judkis + Michael Albaugh213 matchesnot enough data
Justin Hensel + Jacob Braun213 matchesnot enough data
Aashish Jog + Michael Albaugh303 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
Armando Pazos
6W–1L career · no lines in 2023
not enough data
4.5
Christopher Shute
93W–43L career · 1 line in 2023
8%92%1%
4.19
4
Aashish Jog
47W–13L career · 2 lines in 2023
<1%61%39%
3.96
4
Jacob Braun
71W–28L career · no lines in 2023
not enough data
Michael Albaugh
30W–9L career · 2 lines in 2023
3%95%2%
3.74
Justin Hensel
37W–13L career · 2 lines in 2023
15%85%<1%
3.64
Michael Marinus Young
26W–4L career · 1 line in 2023
<1%88%11%
3.34
3.5
Brian Miklavic
44W–27L career · 3 lines in 2023
1%92%7%
3.31
3.5
Alfred Valle
19W–18L career · no lines in 2023
2%95%3%
3.26
3.5
Andrew Clarke
4W–6L career · no lines in 2023
not enough data
3.5
JT Thomas
58W–27L career · 1 line in 2023
8%91%1%
3.18
Steven Wolk
19W–3L career · 1 line in 2023
<1%15%85%
3.13
Joe Bertagna
57W–43L career · 2 lines in 2023
33%67%<1%
3.06
Joshua Bloom
33W–23L career · no lines in 2023
not enough data
Nathaniel Horner
9W–1L career · 2 lines in 2023
not enough data
Richard Jones
5W–13L career · no lines in 2023
not enough data
Will Judkis
18W–17L career · 2 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.