Teams

LTA BLUE

2022 USTA ADULT 40 & OVER - DEN · MEN 3.5 - 40 & OVER

9 players · average NTRP 3.50 / COLORADO

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 →
Schedule7 played
2022-07-20vs BRMST REDSplit 22
L#1 DoublesLong Tran / James Walker vs Thomas Quinn / John Post4-6, 2-6
L#1 SinglesMichael Matheson vs Joel Walter7-6, 1-6, 0-1
W#2 DoublesDavid Serelson / Scott Nguyen vs Jason Brown / Rich Beaver6-2, 6-1
W#3 DoublesPrabhakar Chandana / Justin Oberndorf vs Herb Covey / Coleman Flaherty6-2, 6-3
2022-07-13vs TTA NAVYWon 21
W#1 DoublesChip Kelsey / James Walker vs Christopher Prather / Avi Purkayastha6-4, 6-3
L#2 DoublesLong Tran / Venugopal Garuda vs Lars Malmstrom / Greg Tilden4-6, 6-7
W#3 DoublesMichael Matheson / David Serelson vs Mario Dominguez / Frederick Longobricco2-6, 7-5, 1-0
2022-07-06vs MEA REDLost 13
L#1 DoublesChip Kelsey / Justin Oberndorf vs Steve Craig / Eric Six4-6, 2-6
W#1 SinglesVenugopal Garuda vs Scott Dalgleish6-0, 6-4
L#2 DoublesDaniel Ohlsen / David Serelson vs John Ruder / Geoff Noyes2-6, 0-6
L#3 DoublesLong Tran / Shijung Kim vs John Hamm / William Sivy3-6, 3-6
2022-06-29vs BRMST GREENSplit 22
L#1 DoublesPrabhakar Chandana / Chip Kelsey vs Russell Hogan / Andrew Sinsel5-7, 3-6
W#1 SinglesMichael Matheson vs Paul Billings4-6, 6-4, 1-0
W#2 DoublesDaniel Ohlsen / Long Tran vs Paul Fazzini / Dan Golden4-6, 6-4, 1-0
L#3 DoublesScott Nguyen / David Serelson vs Robert Tedesco / Herbert Schiff6-7, 3-6
2022-06-23vs NJ REDWon 30
W#1 DoublesDaniel Ohlsen / Shijung Kim vs Jeff Richker / Douglas Gordon6-1, 6-4
W#1 SinglesVenugopal Garuda vs Scott Manzolillo6-1, 6-2
W#2 DoublesTerry Johnson / Chip Kelsey vs Roger Phillips / Sasha Shepard6-3, 5-7, 1-0
2022-06-15vs BRMST REDSplit 11
L#2 DoublesScott Nguyen / Long Tran vs Joel Walter / John Post5-7, 3-6
W#3 DoublesPrabhakar Chandana / Justin Oberndorf vs N/A6-0, 6-0
2022-06-08vs TTA NAVYWon 21
L#1 DoublesPrabhakar Chandana / Michael Matheson vs Jeffrey Galloway / David Mead6-1, 3-6, 0-1
W#2 DoublesChip Kelsey / James Walker vs Lars Malmstrom / Greg Tilden6-3, 5-7, 1-0
W#3 DoublesTerry Johnson / Venugopal Garuda vs Juan Lucero / Mario Dominguez1-6, 7-6, 1-0
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 standings for MEN 3.5 - 40 & OVER 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 3.27 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.

3.41
Michael Matheson
usually #1 Singles 50%, also #1 Doubles 25% · published 3.5
3.40
Daniel Ohlsen
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.38
Venugopal Garuda
usually #1 Singles 50%, also #3 Doubles 25% · published
3.38
Prabhakar Chandana
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
David Serelson
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.21
Justin Oberndorf
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.18
Shijung Kim
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.17
Chip Kelsey
usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5
3.03
Long Tran
usually #2 Doubles 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.

David Serelson + Long Tran3650% games+9.6% vs expected
Justin Oberndorf + Prabhakar Chandana14162% games+6.6% vs expected
Chip Kelsey + Long Tran2440% games−2.9% vs expected
David Serelson + Daniel Ohlsen2340% games−8.3% vs expected
Long Tran + Shijung Kim224 matchesnot enough data
Chip Kelsey + Justin Oberndorf123 matchesnot enough data
Chip Kelsey + Shijung Kim303 matchesnot enough data
Justin Oberndorf + Long Tran123 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
Michael Matheson
98W–43L career · 4 lines in 2022
<1%75%25%
3.41
3.5
Daniel Ohlsen
77W–40L career · 3 lines in 2022
<1%78%21%
3.40
Venugopal Garuda
21W–12L career · 4 lines in 2022
<1%82%18%
3.38
3.5
Prabhakar Chandana
42W–19L career · 4 lines in 2022
<1%82%18%
3.38
3.5
David Serelson
13W–20L career · 4 lines in 2022
not enough data
3.5
Justin Oberndorf
49W–49L career · 3 lines in 2022
5%94%1%
3.21
Shijung Kim
17W–13L career · 2 lines in 2022
9%91%1%
3.18
3.5
Chip Kelsey
61W–56L career · 5 lines in 2022
10%90%1%
3.17
Long Tran
26W–55L career · 5 lines in 2022
41%59%<1%
3.03

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.