Teams

Buffalo One

2022 40&Over Men · 4.0

12 players · average NTRP 3.86 / WESTERN REGION

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 →
Schedule5 played
2022-07-25vs Western: SageLost 04
L#1 DoublesJim Higgins / Daryl Gram vs Yang Xiao / Timothy Prise3-6, 0-6
L#1 SinglesNaveen Selvaraj vs Jim Texter4-6, 0-6
L#2 DoublesKamu Pindiprolu / Jason Hernandez vs Murray Richardson / Robert Casell4-6, 1-6
L#3 DoublesGlenn Snowden / George Lund vs Alexander Shotell / Le Wang2-6, 1-6
2022-07-14vs Western: SageSplit 22
L#1 DoublesKamu Pindiprolu / Glenn Snowden vs Rajesh Vasudevan / Robert Casell2-6, 2-6
W#1 SinglesJad Fares vs Jim Texter6-1, 7-6
L#2 DoublesNaveen Selvaraj / James Glennon vs Yang Xiao / Le Wang5-7, 5-7
W#3 DoublesJim Higgins / Daryl Gram vs Alexander Shotell / James Horne6-3, 1-6, 1-0
2022-07-07vs Western: SageLost 04
L#1 DoublesNaveen Selvaraj / Sanjeev Relan vs Gordy Sage / Timothy Prise4-6, 6-7
L#1 SinglesKamu Pindiprolu vs Sergio Quevedo4-6, 6-7
L#2 DoublesGeorge Lund / Jason Hernandez vs Alexander Shotell / Michael Urban3-6, 6-7
L#3 DoublesJim Higgins / James Glennon vs Murray Richardson / Damian Courtin0-6, 6-7
2022-06-30vs Western: SageLost 04
L#1 DoublesJames Glennon / Sanjeev Relan vs Gordy Sage / Damian Courtin6-4, 3-6, 1-0
L#1 SinglesNaveen Selvaraj vs Ronald White1-6, 2-6
L#2 DoublesGeorge Lund / Daryl Gram vs Sergio Quevedo / Michael Urban4-6, 2-6
L#3 DoublesKamu Pindiprolu / Jim Higgins vs Paul Hutschenreuter / Rajesh Vasudevan2-6, 3-6
2022-06-16vs Western: SageLost 13
L#1 DoublesGlenn Snowden / Sanjeev Relan vs Paul Hutschenreuter / Timothy Prise5-7, 1-6
W#1 SinglesNaveen Selvaraj vs James Horne6-3, 6-1
L#2 DoublesGeorge Lund / Jason Hernandez vs Gordy Sage / Ronald White1-6, 3-6
L#3 DoublesKamu Pindiprolu / James Glennon vs Alexander Shotell / Damian Courtin3-6, 1-6
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 standings2 teams · 4.0
TeamWLInd. WInd. LSets lostGames lost
1Western: Sage051737135
2Buffalo One0531735229

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 3.40 estimated across 8 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.

3.89
Sanjeev Relan
usually #1 Doubles 100% · published 4
George Lund
usually #2 Doubles 75%, also #3 Doubles 25% · published 4
3.65
Glenn Snowden
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.62
Jad Fares
usually #1 Singles 100% · published 4
3.57
James Glennon
usually #3 Doubles 50%, also #1 Doubles 25% · published 4
3.46
Daryl Gram
usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5
3.22
Jason Hernandez
usually #2 Doubles 100% · published
3.17
Kamu Pindiprolu
usually #3 Doubles 40%, also #1 Singles 20% · published 3.5
2.60
Udeme Ukutt
published
Jim Higgins
usually #3 Doubles 75%, also #1 Doubles 25% · published
Kofi Fynn-Aikins
published
Naveen Selvaraj
usually #1 Singles 60%, also #1 Doubles 20% · 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.

Kamu Pindiprolu + Sanjeev Relan7360% games+12.3% vs expected
Jim Higgins + Sanjeev Relan10171% games+2.7% vs expected
Kamu Pindiprolu + Jim Higgins1736% games−0.3% vs expected
Kamu Pindiprolu + Udeme Ukutt044 matchesnot enough data
Kamu Pindiprolu + Naveen Selvaraj314 matchesnot enough data
James Glennon + Glenn Snowden134 matchesnot enough data
Jim Higgins + Naveen Selvaraj314 matchesnot enough data
Kamu Pindiprolu + James Glennon033 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.

4
Sanjeev Relan
189W–85L career · 3 lines in 2022
<1%79%21%
3.89
4
George Lund
5W–21L career · 4 lines in 2022
not enough data
4
Glenn Snowden
36W–41L career · 3 lines in 2022
12%87%<1%
3.65
4
Jad Fares
30W–40L career · 1 line in 2022
18%82%<1%
3.62
4
James Glennon
67W–97L career · 4 lines in 2022
31%69%<1%
3.57
3.5
Daryl Gram
24W–12L career · 3 lines in 2022
<1%63%37%
3.46
Jason Hernandez
43W–35L career · 3 lines in 2022
5%94%2%
3.22
3.5
Kamu Pindiprolu
58W–115L career · 5 lines in 2022
9%90%1%
3.17
Udeme Ukutt
40W–34L career · no lines in 2022
22%78%<1%
2.60
Jim Higgins
50W–42L career · 4 lines in 2022
not enough data
Kofi Fynn-Aikins
57W–33L career · no lines in 2022
not enough data
Naveen Selvaraj
55W–29L career · 5 lines in 2022
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.