Teams

WI Other Tri-Level Delta Men NEL Valley Addo

2022 WI Other · WI Other Tri-Level Delta Men

10 players · average NTRP 3.88 / WISCONSIN

View scouting list →
Schedule4 played
2022-05-22Won 10
W#3 DoublesChase Peck / PIYUSH ATRE vs Jeff Crowell / Jack Palasota6-2, 6-2
2022-05-22Won 10
W#3 DoublesChase Peck / PIYUSH ATRE vs Jeff Crowell / Jack Palasota6-3, 6-2
L#1 DoublesSteve Petrinski / C H vs Gino Recchia / Nathan Barash6-3, 1-6, 0-1
L#3 DoublesPIYUSH ATRE / Tyler Linscott vs Jeff Crowell / Glen Sherman3-6, 6-4, 1-0
2022-05-08Split 11
L#1 DoublesSteve Petrinski / C H vs Gino Recchia / Tom Leggett3-6, 3-6
W#3 DoublesTyler Linscott / PIYUSH ATRE vs Jack Palasota / Jeff Crowell6-2, 7-5
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 standings2 teams · WI Other Tri-Level Delta Men
TeamWLInd. WInd. LSets lostGames lost
1WI Other Tri-Level Delta Men NEL Valley Addo511538112
2WI Other Tri-Level Delta Men NEL GBTC Palasota1531532204

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 5 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.

3.78
Ramesh Kakula
published
Alex Christianson
usually #1 Doubles 100% · published 4
Ivor Addo
usually #1 Doubles 100% · published 4
3.64
Steve Petrinski
usually #1 Doubles 100% · published
3.58
Chad Patch
usually #2 Doubles 100% · published 4
3.21
Chase Peck
usually #3 Doubles 41%, also #3 Singles 35% · published 3.5
3.19
Pramod Shinde
usually #2 Doubles 100% · published
Derek Wroblewski
published
PIYUSH ATRE
usually #3 Doubles 100% · published
Pat O'Connor
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.

Steve Petrinski + Ivor Addo24268% games+10.1% vs expected
Steve Petrinski + Chad Patch224 matchesnot enough data
Ivor Addo + Alex Christianson314 matchesnot enough data
Pramod Shinde + PIYUSH ATRE213 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.

Ramesh Kakula
21W–7L career · no lines in 2022
2%94%4%
3.78
4
Alex Christianson
57W–12L career · 8 lines in 2022
not enough data
4
Ivor Addo
104W–18L career · 4 lines in 2022
not enough data
Steve Petrinski
94W–23L career · 2 lines in 2022
14%86%<1%
3.64
4
Chad Patch
74W–53L career · 7 lines in 2022
26%74%<1%
3.58
3.5
Chase Peck
257W–173L career · 29 lines in 2022
5%93%1%
3.21
Pramod Shinde
45W–31L career · 3 lines in 2022
8%91%1%
3.19
Derek Wroblewski
16W–4L career · no lines in 2022
not enough data
PIYUSH ATRE
33W–40L career · 4 lines in 2022
not enough data
Pat O'Connor
8W–2L career · no 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.