Teams

Sportsplex

2024 Tri-Level Men · 4.5,4.0,3.5

19 players · average NTRP 4.00 / SOUTHERN REGION

View scouting list →
Schedule6 played
2024-12-08vs BreakpointSplit 11
L#1 DoublesChristopher Muller / Ben Sulsky vs Shawn Holzmann / Shane Zimmerman6-7, 4-6
W#3 DoublesRichard Birgler / Matteo Kinnicutt vs David Miller / John Schachte6-2, 6-2
2024-11-16vs Taconic ConMenLost 01
L#1 DoublesMatthew Anastasi / Christopher Muller vs Ulrich Brandt-Pollmann / Brent Wiedmer5-7, 6-4, 0-1
2024-11-10vs BreakpointWon 10
W#1 DoublesMatthew Anastasi / Christopher Muller vs Shawn Holzmann / Andrew Constant6-3, 6-7, 1-0
2024-10-27vs Taconic ConMenLost 01
L#1 DoublesDamian Brady / Ben Sulsky vs Ulrich Brandt-Pollmann / Brent Wiedmer1-6, 3-6
2024-09-28vs Taconic ConMenLost 02
L#1 DoublesBen Sulsky / Andrew Greher vs Richard Callwood / Mark Cukaj2-6
L#2 DoublesEdger Bout / Eric Perrot vs James Koob / Sean Burns1-6, 3-6
2024-01-26vs Break Point Tennis - 1Won 10
W#1 DoublesSean Burns / Eric Perrot vs John Haubrich / Nicholas Godec6-4, 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 · 4.5,4.0,3.5
TeamWLInd. WInd. LSets lostGames lost
1CC: Die Tri-ing0817714155
2PTC: Don't Tri This at Home08111331237
3Sportsplex0881633226

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 3.77 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.

4.40
Matthew Anastasi
usually #1 Doubles 100% · published
Christopher Muller
published 4.5
Damian Brady
usually #1 Doubles 100% · published 4.5
4.16
Ben Sulsky
usually #1 Doubles 100% · published 4.5
4.10
Jeevan Yarlagadda
usually #2 Doubles 75%, also #1 Doubles 25% · published
4.08
Bob Siracuse
published 4.5
3.80
Edger Bout
usually #1 Doubles 55%, also #2 Doubles 46% · published 4
Andrew Greher
usually #1 Doubles 100% · published 4
3.63
David West
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.50
Richard Birgler
usually #3 Doubles 56%, also #2 Doubles 44% · published 3.5
3.45
Eric Perrot
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.27
Roger Delbue
usually #2 Doubles 33%, also #1 Doubles 33% · published
3.27
Rod Mano
usually #2 Doubles 60%, also #3 Doubles 40% · published
Brad Gollinger
usually #3 Doubles 100% · published 3.5
Brian Tsai
published 3.5
Joseph Paoli
usually #3 Doubles 71%, also #2 Doubles 29% · published
Matteo Kinnicutt
usually #3 Doubles 100% · published
Pankaj Arora
usually #2 Doubles 75%, also #1 Doubles 25% · published
Philip Huggins
usually #1 Doubles 50%, also #2 Doubles 50% · 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.

Richard Birgler + Brad Gollinger5059% games+10.8% vs expected
Pankaj Arora + Philip Huggins8064% games+10.7% vs expected
Richard Birgler + Roger Delbue12258% games+8.1% vs expected
Edger Bout + Philip Huggins8362% games+3.5% vs expected
Rod Mano + Joseph Paoli5058% games+3.4% vs expected
Richard Birgler + Joseph Paoli5157% games+3.1% vs expected
Pankaj Arora + Edger Bout6355% games+2.7% vs expected
Jeevan Yarlagadda + David West3452% games−1.3% vs expected
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 Anastasi
21W–7L career · 2 lines in 2024
<1%77%23%
4.40
4.5
Christopher Muller
11W–11L career · no lines in 2024
not enough data
4.5
Damian Brady
3W–5L career · type S · 1 line in 2024
not enough data
4.5
Ben Sulsky
28W–20L career · 3 lines in 2024
11%89%<1%
4.16
Jeevan Yarlagadda
57W–23L career · 4 lines in 2024
22%78%<1%
4.10
4.5
Bob Siracuse
4W–4L career · type S · no lines in 2024
28%72%<1%
4.08
4
Edger Bout
63W–24L career · 11 lines in 2024
1%93%6%
3.80
4
Andrew Greher
5W–10L career · 4 lines in 2024
not enough data
4
David West
46W–22L career · 2 lines in 2024
15%84%<1%
3.63
3.5
Richard Birgler
131W–63L career · 9 lines in 2024
<1%48%52%
3.50
3.5
Eric Perrot
37W–30L career · 2 lines in 2024
<1%64%36%
3.45
Roger Delbue
45W–48L career · 6 lines in 2024
2%94%4%
3.27
Rod Mano
96W–66L career · 5 lines in 2024
2%94%4%
3.27
3.5
Brad Gollinger
8W–1L career · 4 lines in 2024
not enough data
3.5
Brian Tsai
20W–7L career · no lines in 2024
not enough data
Joseph Paoli
20W–10L career · 7 lines in 2024
not enough data
Matteo Kinnicutt
11W–3L career · 1 line in 2024
not enough data
Pankaj Arora
41W–14L career · 4 lines in 2024
not enough data
Philip Huggins
32W–8L career · 6 lines in 2024
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.