Teams

HBSQ-Rich

2021 Adult 40 & Over · 2.5 Men

6 players · average NTRP 2.62 / NORTHWEST WASHINGTON

View scouting list →
Schedule4 played
2021-04-10vs CAC/SL-StarkWon 20
W#1 DoublesDarrel Rich / Corey Lamb vs PRASHAANTH RAVINDRAN / Daniel Stark6-0, 6-3
W#2 DoublesDaryl Okamura / Thomas Gilman vs Walt Drevas / Chad Knowles1-6, 6-2, 1-0
2021-04-03vs CAC/SL-StarkWon 21
W#1 DoublesThomas Gilman / Corey Lamb vs Tim Marks / Robert Logan6-4, 7-6
L#1 SinglesSanjay Chopra vs Michal Nawalany4-6, 2-6
W#2 DoublesDaryl Okamura / ANDY MCREA vs Daniel Stark / Walt Drevas6-3, 6-2
2021-03-20vs CAC/SL-StarkWon 20
W#1 SinglesKeith Miller vs Daniel Stark6-3, 6-4
W#2 DoublesThomas Gilman / Sanjay Chopra vs Chad Knowles / PRASHAANTH RAVINDRAN6-2, 7-6
2021-03-07vs CAC/SL-StarkWon 20
W#1 DoublesSanjay Chopra / Corey Lamb vs Robert Logan / Michal Nawalany4-6, 7-5, 1-0
W#2 DoublesDarrel Rich / Keith Miller vs Chad Knowles / Daniel Stark6-3, 6-1
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 standings2 teams · 2.5 Men
TeamWLInd. WInd. LSets lostGames lost
1HBSQ-Rich40111589
2CAC/SL-Stark0411122136

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 2.26 estimated across 4 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.

2.52
Sanjay Chopra
usually #1 Doubles 33%, also #2 Doubles 33% · published 3
2.28
Darrel Rich
usually #3 Doubles 71%, also #2 Doubles 14% · published 2.5
2.12
John Haines
published 2.5
2.11
Daryl Okamura
usually #2 Doubles 100% · published 2.5
Keith Miller
usually #2 Doubles 50%, also #1 Singles 50% · published
Thomas Gilman
usually #3 Doubles 57%, also #2 Doubles 29% · 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.

John Haines + Sanjay Chopra3745% games+7.4% vs expected
Thomas Gilman + Darrel Rich1835% games−1.1% vs expected
John Haines + Daryl Okamura2343% games−7.3% vs expected
Darrel Rich + Daryl Okamura5251% games−9.8% vs expected
John Haines + Darrel Rich4168% gamesnot enough data
Darrel Rich + Sanjay Chopra2340% gamesnot enough data
John Haines + Thomas Gilman123 matchesnot enough data
Thomas Gilman + Sanjay Chopra123 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.

3
Sanjay Chopra
30W–39L career · 3 lines in 2021
44%56%<1%
2.52
2.5
Darrel Rich
47W–80L career · 7 lines in 2021
0%96%4%
2.28
2.5
John Haines
22W–46L career · no lines in 2021
0%>99%<1%
2.12
2.5
Daryl Okamura
20W–28L career · 2 lines in 2021
0%>99%<1%
2.11
Keith Miller
6W–10L career · 2 lines in 2021
not enough data
Thomas Gilman
9W–26L career · 7 lines in 2021
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.