Teams

2BLOOM-CHUKKAPALLI 30MEN SING SEM F3

2024 SEM FALL TEAM SINGLES · MEN 3.0 SINGLES SEM

11 players · average NTRP 3.25 / S.E. MICHIGAN

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 →
Schedule8 played
2024-12-07vs 4FAC-HERNANDEZ 30MEN SING SEM F3Won 21
W#1 SinglesAvinash Hosanagar vs Lijo Jacob6-2, 6-2
W#2 SinglesBhargava Puli vs Sean Kenyon7-5, 4-2
L#3 SinglesVy Ong vs Aldo Tarello5-7, 2-1
2024-12-01vs 6EAST-BONVENTRE 30MEN SING SEM F3Lost 03
L#1 SinglesLakshya Rupani vs Kwame Dildy2-6, 1-6
L#2 SinglesAvinash Hosanagar vs Josef Provido1-6, 1-6
L#3 SinglesVy Ong vs Damon Carter4-6, 3-6
2024-11-15vs 3FAC-NICOLSON 30MEN SING SEM F3Won 20
W#1 SinglesPhalgun Balasubramaniam vs Vick Kheny6-2, 6-1
W#2 SinglesRAJU KARTHIK vs Andrew Jakubowski6-1, 6-4
2024-11-09vs 5WESS-SCHEPPER 30MEN SING SEM F3Won 21
W#1 SinglesHamilton Parr vs Vasken Artinian6-1, 6-2
W#2 SinglesPhalgun Balasubramaniam vs Brian Krupa6-0, 6-1
L#3 SinglesLakshya Rupani vs Jason Wilkinson2-6, 4-5
2024-10-26vs 4FAC-HERNANDEZ 30MEN SING SEM F3Lost 12
L#1 SinglesWaheem Rahman vs Lijo Jacob6-7, 6-7
L#2 SinglesBhargava Puli vs Edward McDonald4-6, 6-5
W#3 SinglesVy Ong vs Brendan Dellicolli6-2, 6-2
2024-10-18vs 6EAST-BONVENTRE 30MEN SING SEM F3Split 11
L#1 SinglesLakshya Rupani vs Kwame Dildy3-6, 4-5
W#2 SinglesPhalgun Balasubramaniam vs Edin Trsic6-2, 6-0
2024-10-05vs 3FAC-NICOLSON 30MEN SING SEM F3Won 21
W#1 SinglesLakshya Rupani vs Andrew Jakubowski6-4, 4-1
L#2 SinglesWaheem Rahman vs Vick Kheny3-6, 2-6
W#3 SinglesChandra Yalamanchili vs Andreas Heesch7-6, 1-1
2024-09-28vs 5WESS-SCHEPPER 30MEN SING SEM F3Won 21
L#1 SinglesPhalgun Balasubramaniam vs Ranadeb Chaudhuri6-7, 0-1
W#2 SinglesWaheem Rahman vs Andy Schepper6-4
W#3 SinglesAvinash Hosanagar vs Jason Wilkinson6-2, 6-0
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 standings13 teams · MEN 3.0 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
16EAST-BONVENTRE 30MEN SING SEM F37118615147
22FAC-FINKLEBERG 30MEN SING SEM F27219815168
34FAC-FITZPATRICK 30MEN SING SEM F17218920185
42BLOOM-CHUKKAPALLI 30MEN SING SEM F362141018158
52LIB-REYNOLDS 30MEN SING SEM F154151227221
61EAST-MITCHELL 30MEN SING SEM F254131430235
73FAC-NICOLSON 30MEN SING SEM F33491223181
83DEER-ABELL 30MEN SING SEM F236131428239
91LIB-ATKINSON 30MEN SING SEM F136121533226
103CHIP-DICKERMAN 30MEN SING SEM F13691835255
114TROY-WALTER 30MEN SING SEM F23691838262
124FAC-HERNANDEZ 30MEN SING SEM F32681630232
135WESS-SCHEPPER 30MEN SING SEM F31681326178

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 3.00 estimated across 9 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.

3.32
Phalgun Balasubramaniam
usually #1 Singles 50%, also #2 Singles 50% · published
3.25
Avinash Hosanagar
usually #3 Singles 33%, also #1 Singles 33% · published 3.5
3.19
Hamilton Parr
usually #1 Singles 100% · published 3.5
2.92
RAJU KARTHIK
usually #2 Singles 100% · published
2.89
Bhargava Puli
usually #2 Singles 100% · published 3
2.85
Venkat Pisipati
published
2.77
Vy Ong
usually #3 Singles 100% · published
Chandra Yalamanchili
usually #3 Singles 100% · published 3
2.71
Lakshya Rupani
usually #1 Singles 75%, also #3 Singles 25% · published
Waheem Rahman
usually #2 Singles 67%, also #1 Singles 33% · 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.

Hamilton Parr + Phalgun Balasubramaniam3355% games+8.7% vs expected
PADMANABHA RAO CHUKKAPALLI + Bhargava Puli5256% games+2.2% vs expected
RAJU KARTHIK + Chandra Yalamanchili1448% gamesnot enough data
Waheem Rahman + Bhargava Puli314 matchesnot enough data
Venkat Pisipati + PADMANABHA RAO CHUKKAPALLI314 matchesnot enough data
PADMANABHA RAO CHUKKAPALLI + RAJU KARTHIK224 matchesnot enough data
Chandra Yalamanchili + Bhargava Puli314 matchesnot enough data
Hamilton Parr + Bhargava Puli213 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.

Phalgun Balasubramaniam
38W–15L career · 4 lines in 2024
1%91%8%
3.32
3.5
Avinash Hosanagar
14W–6L career · 3 lines in 2024
3%95%3%
3.25
3.5
Hamilton Parr
27W–23L career · 1 line in 2024
7%92%1%
3.19
PADMANABHA RAO CHUKKAPALLI
35W–33L career · no lines in 2024
22%78%<1%
3.10
RAJU KARTHIK
36W–27L career · 1 line in 2024
<1%74%26%
2.92
3
Bhargava Puli
50W–28L career · 2 lines in 2024
<1%80%19%
2.89
Venkat Pisipati
25W–18L career · no lines in 2024
<1%88%12%
2.85
Vy Ong
8W–19L career · 3 lines in 2024
2%94%4%
2.77
3
Chandra Yalamanchili
25W–14L career · 1 line in 2024
not enough data
Lakshya Rupani
18W–30L career · 4 lines in 2024
5%94%1%
2.71
Waheem Rahman
16W–7L career · 3 lines in 2024
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.