Teams

9BLOOM-MANEPALLI 85MEN SEM

2024 SEM FALL COMBO DOUBLES · MEN 85 COMBO SEM

16 players · average NTRP 4.06 / 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 →
Schedule6 played
2024-11-24vs 8BEV-UHLAR 85MEN SEMSplit 11
L#1 DoublesDavid Lai / Bo Zhu vs Brian Wayne / Harry Greenspan3-6, 2-6
W#2 DoublesBrendan Childress / Lee Winston-Galant vs Shawn Snell / Matthew Cracchiolo6-1, 6-2
2024-11-09vs 3CHIP-DOUGLASS 85MEN SEMSplit 11
W#1 DoublesJason Joo / Jin Woo Park vs Daniel Decapua / Thomas Rhodes6-1, 7-5
L#2 DoublesBrendan Childress / Praveen Kumar Konada vs Michael Calderone / Kartheek Gangadhara4-6, 1-6
2024-11-03Lost 01
L#1 DoublesMerrick Bay / Oleg Pojidaev vs Mckenzie Walsh / Joshua Lattie1-6, 1-6
2024-10-27vs 7SCWB-KUROSAWA 85MEN SEMWon 20
W#1 DoublesDavid Lai / Bo Zhu vs Yizhi Huang / Jingkang Wang6-4, 6-1
W#2 DoublesBrendan Childress / Lee Winston-Galant vs Daniel Kinsley / Yoshihiro Omori6-3, 7-6
2024-10-12vs 4CHIP-HOWARD 85MEN SEMLost 02
L#1 DoublesDavid Lai / Bo Zhu vs Todd Schalk / Paul Gill3-6, 6-4, 0-1
L#2 DoublesBrendan Childress / Steven Cohen vs Glenn Saperstein / Austin Luker3-6, 2-6
2024-10-05vs 2EAST-KEAN 85MEN SEMLost 02
L#1 DoublesPraveen Kumar Konada / Brendan Childress vs Paul van Rensburg / Matthew Prigorac1-6, 1-6
L#2 DoublesLee Winston-Galant / Merrick Bay vs Jason Go / Andrew Cansfield0-6, 2-6
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 standings9 teams · MEN 85 COMBO SEM
TeamWLInd. WInd. LSets lostGames lost
12EAST-KEAN 85MEN SEM712048134
24CHIP-HOWARD 85MEN SEM7119513166
35DEER-KERIN 85MEN SEM6219512162
410MONY-ESCHECK 85MEN SEM5315921194
57SCWB-KUROSAWA 85MEN SEM44101430239
63CHIP-DOUGLASS 85MEN SEM35101430235
79BLOOM-MANEPALLI 85MEN SEM2661836247
88BEV-UHLAR 85MEN SEM2661836268
91EAST-WARNER 85MEN SEM0832143276

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 3.81 estimated across 13 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.

4.46
Jason Joo
usually #1 Doubles 100% · published
David Lai
published 4.5
4.24
Brendan Childress
usually #2 Doubles 80%, also #1 Doubles 20% · published 4.5
4.10
3.98
Surya Prakash Manepalli
usually #2 Doubles 40%, also #1 Doubles 30% · published
3.87
Steven Millard
usually #1 Doubles 33%, also #2 Doubles 33% · published 4
3.85
Merrick Bay
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.79
Vignesh Gouthaman
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.76
Jay Dalal
usually #3 Doubles 40%, also #1 Doubles 40% · published 4
Erik Kafarski
published 4
3.63
Lee Winston-Galant
usually #2 Doubles 71%, also #1 Doubles 29% · published 4
3.60
Jin Woo Park
usually #1 Doubles 100% · published
3.56
Praveen Kumar Konada
usually #2 Doubles 42%, also #3 Doubles 42% · published
3.46
Bo Zhu
usually #1 Doubles 100% · published 4
3.24
Oleg Pojidaev
usually #1 Doubles 100% · published 3.5
Sander Mathijs
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 Winston-Galant + Jason Joo11358% games+16.4% vs expected
Brendan Childress + Lee Winston-Galant3448% games+9.0% vs expected
Brendan Childress + Steven Millard9848% games+5.7% vs expected
Erik Kafarski + Praveen Kumar Konada4255% games+2.4% vs expected
Sainath Lachhireddygari + Lee Winston-Galant4844% games−0.2% vs expected
Surya Prakash Manepalli + Praveen Kumar Konada131349% games−1.3% vs expected
Sainath Lachhireddygari + Jason Joo5157% gamesnot enough data
Steven Millard + Lee Winston-Galant0536% gamesnot 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.

Jason Joo
95W–36L career · 1 line in 2024
<1%61%39%
4.46
4.5
David Lai
20W–11L career · no lines in 2024
not enough data
4.5
Brendan Childress
46W–72L career · 5 lines in 2024
3%94%2%
4.24
Sainath Lachhireddygari
90W–74L career · no lines in 2024
23%77%<1%
4.10
Surya Prakash Manepalli
109W–95L career · 10 lines in 2024
57%43%<1%
3.98
4
Steven Millard
200W–175L career · 9 lines in 2024
<1%83%17%
3.87
Merrick Bay
7W–13L career · 2 lines in 2024
<1%87%13%
3.85
4
Vignesh Gouthaman
42W–32L career · 5 lines in 2024
1%93%5%
3.79
4
Jay Dalal
227W–145L career · 5 lines in 2024
2%94%3%
3.76
4
Erik Kafarski
16W–19L career · type S · no lines in 2024
not enough data
4
Lee Winston-Galant
104W–104L career · 7 lines in 2024
15%85%<1%
3.63
Jin Woo Park
28W–29L career · 1 line in 2024
23%77%<1%
3.60
Praveen Kumar Konada
71W–52L career · 12 lines in 2024
33%67%<1%
3.56
4
Bo Zhu
6W–8L career · type S · 3 lines in 2024
61%39%<1%
3.46
3.5
Oleg Pojidaev
43W–89L career · 1 line in 2024
3%95%2%
3.24
Sander Mathijs
10W–2L career · no 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.