Teams

The Orphans

Winter Adult 40 & Over WeekEND · Mens 4.0

19 players · average NTRP 3.88 / TEXAS

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 →

Flight standings for Mens 4.0 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 3.52 estimated across 11 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.

3.93
Anthony Tessler
published 4
3.86
Envar Mir
published 4
3.79
Janardhan Lavakumar
published
3.77
Kevin Knebel
published
Casey Wolf
published 4
Fowler Hatley
published 4
3.70
Craig Shapiro
published 4
3.57
Pavan Karnati
published
3.56
Michael Crigler
published
3.44
Brian Sisto
published 4
3.28
Charles Collier
published 3.5
3.21
BILL PETTINATI
published 3.5
2.63
Todd Jagmin
published
Kapil Rajurkar
published
Karthik Subramanian
published
Michael Nels
published
Michael Springer
published
Sean Scanlan
published
William Hosmer
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.

Envar Mir + Anthony Tessler6455% games+8.0% vs expected
Janardhan Lavakumar + Pavan Karnati224 matchesnot enough data
Janardhan Lavakumar + Envar Mir404 matchesnot enough data
Kevin Knebel + Envar Mir404 matchesnot enough data
Kevin Knebel + Brian Sisto303 matchesnot enough data
Sean Scanlan + BILL PETTINATI123 matchesnot enough data
Michael Nels + Charles Collier213 matchesnot enough data
Charles Collier + Karthik Subramanian033 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
Anthony Tessler
20W–12L career · no lines in 2023
<1%70%30%
3.93
4
Envar Mir
28W–11L career · no lines in 2023
<1%86%14%
3.86
Janardhan Lavakumar
24W–10L career · no lines in 2023
1%94%5%
3.79
Kevin Knebel
32W–21L career · no lines in 2023
2%94%4%
3.77
4
Casey Wolf
24W–13L career · no lines in 2023
not enough data
4
Fowler Hatley
8W–15L career · no lines in 2023
not enough data
4
Craig Shapiro
8W–20L career · type A · no lines in 2023
6%93%1%
3.70
Pavan Karnati
20W–17L career · no lines in 2023
30%70%<1%
3.57
Michael Crigler
21W–11L career · no lines in 2023
<1%32%68%
3.56
4
Brian Sisto
10W–4L career · no lines in 2023
67%33%<1%
3.44
3.5
Charles Collier
34W–40L career · no lines in 2023
2%94%5%
3.28
3.5
BILL PETTINATI
37W–34L career · no lines in 2023
5%94%1%
3.21
Todd Jagmin
15W–57L career · no lines in 2023
16%83%<1%
2.63
Kapil Rajurkar
12W–15L career · no lines in 2023
not enough data
Karthik Subramanian
8W–15L career · no lines in 2023
not enough data
Michael Nels
5W–2L career · no lines in 2023
not enough data
Michael Springer
10W–11L career · no lines in 2023
not enough data
Sean Scanlan
13W–4L career · no lines in 2023
not enough data
William Hosmer
9W–11L 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.