Teams

SKO GREAT HILLS!!

Spring Adult 18 & Over WeekEND · Men's 4.0 18s

13 players · average NTRP 4.00 / 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 Men's 4.0 18s 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 3.77 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.

3.98
Steve Paterson
published
3.95
Chris Castellani
published 4
3.88
Andrew Shih
published 4
3.84
Martin Heward
published
3.79
Jacob Plotkin
published 4
3.77
Jason Bagshaw
published
3.77
Jesper Marklund
published
3.75
Jahangir Khan
published 4
Chip Brown
published 4
3.71
Brad Nielsen
published 4
3.66
Mike Blahnik
published
3.60
David Burton
published 4
3.55
Anurag Kumar
published 4
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.

Martin Heward + Jahangir Khan5268% games+11.9% vs expected
Andrew Shih + Jahangir Khan5161% games+11.8% vs expected
Jason Bagshaw + Jahangir Khan8356% games+6.9% vs expected
Chris Castellani + Jahangir Khan6257% games+6.5% vs expected
Andrew Shih + Jacob Plotkin5254% games+5.4% vs expected
Brad Nielsen + Mike Blahnik5353% games+5.2% vs expected
Chris Castellani + Andrew Shih7455% games+1.9% vs expected
David Burton + Mike Blahnik7453% games+0.5% 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.

Steve Paterson
42W–18L career · no lines in 2022
<1%57%43%
3.98
4
Chris Castellani
52W–28L career · no lines in 2022
<1%65%35%
3.95
4
Andrew Shih
41W–16L career · no lines in 2022
<1%83%17%
3.88
Martin Heward
33W–15L career · no lines in 2022
<1%89%10%
3.84
4
Jacob Plotkin
44W–42L career · no lines in 2022
1%94%5%
3.79
Jason Bagshaw
14W–6L career · no lines in 2022
2%94%4%
3.77
Jesper Marklund
8W–15L career · no lines in 2022
2%94%4%
3.77
4
Jahangir Khan
51W–30L career · no lines in 2022
3%95%3%
3.75
4
Chip Brown
17W–19L career · no lines in 2022
not enough data
4
Brad Nielsen
22W–24L career · no lines in 2022
5%93%1%
3.71
Mike Blahnik
25W–29L career · no lines in 2022
11%89%<1%
3.66
4
David Burton
31W–36L career · no lines in 2022
22%78%<1%
3.60
4
Anurag Kumar
15W–22L career · no lines in 2022
35%65%<1%
3.55

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.