Teams

BLACKHAWK CC CM6.5A

2022 COMBO · Men 6.5

17 players · average NTRP 3.32 / NO. CALIFORNIA

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 →
Schedule11 played
2022-12-02vs PLEASANTON CM6.5AWon 10
W#2 DoublesHenry Liu / Andrew Johnson vs Vamsi Boppudi / Sudhish Verma7-5, 7-6
2022-11-18vs PLEASANTON CM6.5BWon 10
W#2 DoublesHenry Liu / Andrew Johnson vs Bhargava Sana / Vamsikrishna Paladugu6-2, 6-2
2022-11-06vs PLEASANTON CM6.5BWon 10
W#1 DoublesRahul Keswani / Jimmy Agustin vs Rajeev Gupta / Dattu Akella6-3, 6-1
2022-10-29vs STONEBRAE CM6.5AWon 20
W#1 DoublesMelvin Chua / Andrew Johnson vs Edward Tang / Femi Olujide6-3, 6-1
W#3 DoublesSurinder Yadav / Nathan Duda vs John Phillips / Scott Powers3-6, 6-3, 1-0
2022-10-23vs MISSION HILLS CM6.5AWon 10
W#1 DoublesDavid Hsieh / Andrew Johnson vs Navneet Bhatia / Shashidhar Mothukuri4-6, 6-4, 1-0
2022-10-10vs PLEASANTON CM6.5ALost 12
W#1 DoublesAndrew Johnson / Scott Takishita vs Viswanatha Chittepu / Narayana Rao Surapaneni6-0, 6-0
L#2 DoublesDavid Ly / Nathan Duda vs Vamsi Boppudi / Chandra Mundra4-6, 4-6
L#3 DoublesJimmy Agustin / Henry Liu vs Gautam Mylavarapu / Venkat Venkataraman2-6, 2-6
W#3 DoublesRyan Zarnegar / Andrew Johnson vs Vishal Shenoy / Cliff Johnson6-2, 6-0
2022-10-01vs CROW CANYON CC CM6.5AWon 10
W#1 DoublesScott Takishita / Andrew Johnson vs Chad Harrison / Dwain Berry6-3, 6-4
2022-09-24Won 10
W#1 DoublesHenry Liu / Andrew Johnson vs Daniel Hong / Shaun Hui6-0, 6-3
2022-09-17vs PLEASANTON CM6.5BLost 01
L#2 DoublesRishi Sharma / Surinder Yadav vs Pradeesh Velayuthan / Faisal Ahmad3-6, 5-7
2022-09-03vs MISSION HILLS CM6.5ASplit 11
W#1 DoublesDavid Ly / Rahul Keswani vs Ravindra Rathi / Tom Zhang6-4, 6-2
L#2 DoublesAshok Ganesan / Jimmy Agustin vs Stephen Daily / Prabhu Palani6-7, 5-7
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 Men 6.5 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 3.09 estimated across 14 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.

3.55
Ashok Ganesan
published 3.5
3.43
Henry Liu
published 3.5
3.41
Dimitry Goldshteyn
published 3.5
3.32
Scott Takishita
published
3.32
Saurabh Shrivastava
published
3.27
David Hsieh
published 3.5
3.27
David Ly
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
Andrew Johnson
usually #1 Doubles 47%, also #2 Doubles 33% · published 3.5
Surinder Yadav
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.23
Melvin Chua
published
3.02
Fadhly Bey
published 3
2.96
Rishi Sharma
published
2.93
Jimmy Agustin
usually #2 Doubles 33%, also #3 Doubles 33% · published 3
Akshiv Malhotra
published 3
2.58
Jim Plewa
published
2.52
Andy Lee
published 3
2.50
Subha Ghoshal
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.

Ashok Ganesan + Henry Liu3257% games+7.6% vs expected
David Ly + Surinder Yadav5644% gamesnot enough data
Jimmy Agustin + Fadhly Bey4454% gamesnot enough data
Henry Liu + Dimitry Goldshteyn303 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.

3.5
Ashok Ganesan
16W–11L career · no lines in 2022
<1%36%64%
3.55
3.5
Henry Liu
19W–10L career · no lines in 2022
<1%70%30%
3.43
3.5
Dimitry Goldshteyn
9W–7L career · no lines in 2022
<1%76%23%
3.41
Scott Takishita
14W–5L career · no lines in 2022
1%91%8%
3.32
Saurabh Shrivastava
16W–10L career · no lines in 2022
1%91%8%
3.32
3.5
David Hsieh
3W–4L career · no lines in 2022
2%94%4%
3.27
3.5
David Ly
48W–84L career · 3 lines in 2022
2%94%4%
3.27
3.5
Andrew Johnson
76W–32L career · 15 lines in 2022
not enough data
3.5
Surinder Yadav
26W–31L career · 3 lines in 2022
not enough data
Melvin Chua
5W–5L career · no lines in 2022
4%94%2%
3.23
3
Fadhly Bey
38W–18L career · no lines in 2022
<1%44%56%
3.02
Rishi Sharma
7W–6L career · no lines in 2022
<1%63%37%
2.96
3
Jimmy Agustin
22W–18L career · 3 lines in 2022
<1%70%30%
2.93
3
Akshiv Malhotra
0W–2L career · no lines in 2022
not enough data
Jim Plewa
1W–5L career · no lines in 2022
27%73%<1%
2.58
3
Andy Lee
6W–22L career · no lines in 2022
43%57%<1%
2.52
Subha Ghoshal
2W–10L career · no lines in 2022
49%51%<1%
2.50

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.