Teams

6 Raintree Raghavan Combo

2022 Richmond Combo Weekend · Richmond Combo 8.5 Men

12 players · average NTRP 4.14 / VIRGINIA

View scouting list →
Schedule7 played
2022-08-28vs 5 Salisbury GruhlLost 01
L#1 DoublesBrett Sinsabaugh / Ram Raghavan vs Drew Lineberger / David Scheetz6-3, 2-6, 0-1
2022-08-27vs 3 Woodlake PattersonWon 10
W#1 DoublesBrett Sinsabaugh / Hamid Mahmood vs Michael Cabral / Bradley Glen6-2, 6-4
2022-08-20vs 1 Avalon McCarty LitesLost 01
L#3 DoublesBrett Sinsabaugh / Madhav Kidambi vs Tejas Raval / Chip Gay2-6, 4-6
2022-08-09vs 4 Willow Oaks Dunton / RobertsWon 10
W#1 DoublesHolland Gravely / Edward Yesbeck vs David Roberts / Anthony Cargill4-6, 6-4, 1-0
2022-07-30vs 2 MAC SnowLost 01
L#1 DoublesMichael Cole / Edward Yesbeck vs Colin Atkinson / John Bennett1-6, 6-7
2022-07-16vs 5 Salisbury GruhlWon 10
W#1 DoublesMichael Cole / Edward Yesbeck vs Michael Miller / Richard Lloyd6-2, 6-4
2022-07-09vs 3 Woodlake PattersonWon 10
W#1 DoublesMichael Cole / Edward Yesbeck vs Casey Coffey / Wieslaw Gumulak6-2, 7-6
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 Richmond Combo 8.5 Men 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 3.82 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.

4.48
Doug Bond
published 4.5
4.15
Brett Sinsabaugh
usually #1 Doubles 67%, also #3 Doubles 33% · published 4.5
4.03
Lee Brooks
published
3.88
Holland Gravely
published 4
3.82
Geoff Campbell
published 4
3.79
Hamid Mahmood
published 4
3.77
Ram Raghavan
published
Gary Wills
published 4
3.66
Seunghun Ok
published
3.64
Edward Yesbeck
usually #1 Doubles 100% · published 4
3.47
Madhav Kidambi
published
3.30
Stuart Dowdy
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.

Lee Brooks + Geoff Campbell6258% games−1.2% 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.

4.5
Doug Bond
59W–22L career · type A · no lines in 2022
<1%57%43%
4.48
4.5
Brett Sinsabaugh
124W–59L career · 3 lines in 2022
12%87%<1%
4.15
Lee Brooks
29W–4L career · no lines in 2022
<1%41%59%
4.03
4
Holland Gravely
21W–12L career · no lines in 2022
<1%81%19%
3.88
4
Geoff Campbell
14W–6L career · no lines in 2022
1%91%9%
3.82
4
Hamid Mahmood
4W–2L career · no lines in 2022
1%93%6%
3.79
Ram Raghavan
9W–10L career · no lines in 2022
2%94%4%
3.77
4
Gary Wills
2W–0L career · no lines in 2022
not enough data
Seunghun Ok
4W–1L career · no lines in 2022
11%88%<1%
3.66
4
Edward Yesbeck
127W–115L career · 4 lines in 2022
14%85%<1%
3.64
Madhav Kidambi
2W–2L career · no lines in 2022
60%40%<1%
3.47
Stuart Dowdy
15W–11L career · no lines in 2022
1%93%6%
3.30

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.