Teams

SFV - Breaking Bad

2023 Adult 18+ SFV Spring · SFV 18 & Over - Men 3.5

14 players · average NTRP 3.75 / SO.CALIFORNIA

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 →
Schedule5 played
2023-06-11vs SFV - Ball BreakersWon 10
W#1 DoublesJIE LUO / Aldo Angrisani vs Chris Alexander / Vincent Jessel6-0, 6-1
2023-05-20vs SFV - NetworkersWon 10
W#1 DoublesAldo Angrisani / JIE LUO vs Dmitry Rapoport / Simon Khilkevich2-6, 6-2, 1-0
2023-05-07vs SFV LLW - Paseo United 3.5Won 10
W#1 DoublesJIE LUO / Aldo Angrisani vs Mikhail Zeltser / Daniel Peterson-Beliakoff6-1, 7-5
2023-04-30vs SFV - AcersLost 01
L#1 DoublesAldo Angrisani / Glen Chester vs RUBEN SIMON / Emilio Pozzi5-7, 2-6
2023-04-15vs SFV - 40 LoveLost 01
L#2 DoublesAldo Angrisani / Shilton Hasunuma vs Dan Lula / Monte Donovan1-6, 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 SFV 18 & Over - Men 3.5 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 3.16 estimated across 12 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.

3.49
Aditya Agarkar
published 4
3.38
Aldo Angrisani
usually #1 Doubles 80%, also #2 Doubles 20% · published 3.5
3.38
Kenneth Jung
published
3.33
Kevin Rodriguez
published
3.28
Paul Ketrick
published
3.24
Krunal Mistry
published
3.23
Glen Chester
published
3.05
Tim SCHUMACHER
published
2.96
Gonzalo Mendez
published
2.87
TARUN TYAGI
published
2.86
Jeffrey Korerat
published
2.83
Kasra Soufi
published
John Tkach
published
Jonathan Sosa
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.

Paul Ketrick + Gonzalo Mendez314 matchesnot enough data
Paul Ketrick + Glen Chester224 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
Aditya Agarkar
1W–6L career · no lines in 2023
52%48%<1%
3.49
3.5
Aldo Angrisani
93W–85L career · 5 lines in 2023
<1%79%21%
3.38
Kenneth Jung
13W–12L career · no lines in 2023
<1%<1%>99%
3.38
Kevin Rodriguez
30W–13L career · no lines in 2023
<1%1%99%
3.33
Paul Ketrick
9W–12L career · no lines in 2023
2%92%6%
3.28
Krunal Mistry
3W–2L career · no lines in 2023
4%92%3%
3.24
Glen Chester
5W–12L career · no lines in 2023
5%92%3%
3.23
Tim SCHUMACHER
1W–5L career · no lines in 2023
36%64%<1%
3.05
Gonzalo Mendez
9W–7L career · no lines in 2023
<1%63%37%
2.96
TARUN TYAGI
13W–10L career · no lines in 2023
<1%82%18%
2.87
Jeffrey Korerat
16W–14L career · no lines in 2023
1%84%16%
2.86
Kasra Soufi
13W–17L career · no lines in 2023
1%88%11%
2.83
John Tkach
0W–2L career · no lines in 2023
not enough data
Jonathan Sosa
2W–1L career · no 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.