Teams

Bear Down Cats

2022 TRI-LEVEL 18&Over · Men's- 4.5,4.0,3.5

11 players · average NTRP 4.00 / SOUTHERN ARIZONA

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
2022-10-23vs CarlitosSplit 11
W#1 DoublesKevin Conway / Shad Lopez vs Joshua Katz / Julian Mirano7-6, 7-5
L#3 DoublesDerek Wong / Timothy Liu vs Darel Harrison / James Buckwalter1-6, 4-6
2022-10-22vs SAZ- Chris MadsenLost 12
W#1 DoublesMatthew Rohne / Alejandro Terrazas vs Chris Madsen / Terry Kirk7-5, 6-4
L#2 DoublesEduardo Vegas / James Wallen vs Hoa Luu / Juan Cardenas4-6, 4-6
L#3 DoublesTimothy Liu / JJ Johnston vs Darrel Tomasa / Jeffery Williams0-6, 2-6
2022-10-22vs CarlitosLost 12
L#1 DoublesShad Lopez / Kevin Conway vs Shubhayu Chakraborty / Daniel Bogen6-7, 2-6
W#2 DoublesEduardo Vegas / James Wallen vs Nicholas Halsey / Michael Davis6-3, 3-6, 1-0
L#3 DoublesCarlos Lazo / JJ Johnston vs James Buckwalter / Darel Harrison4-6, 4-6
2022-10-22vs SAZ- Chris MadsenLost 12
W#1 DoublesMatthew Rohne / Alejandro Terrazas vs Arturo Prieto / Chris Madsen6-4, 1-6, 1-0
L#2 DoublesEduardo Vegas / Suwen Chang vs Terry Kirk / Juan Cardenas6-4, 3-6, 1-0
L#3 DoublesCarlos Lazo / Derek Wong vs Jeffery Williams / Colby Dressler6-3, 1-6, 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 standings3 teams · Men's- 4.5,4.0,3.5
TeamWLInd. WInd. LSets lostGames lost
1SAZ- Chris Madsen4093991
2Bear Down Cats135717129
3Carlitos134817128

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 3.76 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.

4.32
Shad Lopez
usually #1 Doubles 100% · published
Alejandro Terrazas
usually #1 Doubles 100% · published 4.5
James Wallen
published 4.5
4.22
Matthew Rohne
usually #1 Doubles 100% · published
4.03
Eduardo Vegas
usually #2 Doubles 100% · published 4.5
3.63
JJ Johnston
usually #3 Doubles 100% · published 3.5
Derek Wong
usually #3 Doubles 100% · published 3.5
3.23
Carlos Lazo
usually #3 Doubles 100% · published 3.5
3.13
Timothy Liu
usually #3 Doubles 100% · published
Joseph Rogers
published
Kevin Conway
usually #1 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.

Carlos Lazo + Derek Wong3448% games+10.0% vs expected
Carlos Lazo + JJ Johnston9552% games+2.8% vs expected
Joseph Rogers + Kevin Conway8358% games+0.5% vs expected
Eduardo Vegas + Kevin Conway6456% gamesnot enough data
Kevin Conway + Shad Lopez7358% gamesnot enough data
Derek Wong + JJ Johnston2343% gamesnot enough data
Eduardo Vegas + Shad Lopez224 matchesnot enough data
Joseph Rogers + Shad Lopez224 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.

Shad Lopez
79W–58L career · 2 lines in 2022
1%91%8%
4.32
4.5
Alejandro Terrazas
21W–25L career · 2 lines in 2022
not enough data
4.5
James Wallen
1W–1L career · no lines in 2022
not enough data
Matthew Rohne
115W–45L career · 2 lines in 2022
4%94%2%
4.22
4.5
Eduardo Vegas
82W–64L career · 3 lines in 2022
42%58%<1%
4.03
3.5
JJ Johnston
86W–54L career · 2 lines in 2022
<1%15%85%
3.63
3.5
Derek Wong
24W–30L career · 2 lines in 2022
not enough data
3.5
Carlos Lazo
48W–51L career · 2 lines in 2022
4%94%2%
3.23
Timothy Liu
23W–37L career · 2 lines in 2022
15%85%<1%
3.13
Joseph Rogers
45W–24L career · no lines in 2022
not enough data
Kevin Conway
90W–58L career · 2 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.