Teams

THodge (Blakeney)

2026 Combo Doubles 40 & Over League · 40 & Over Combo 7.5 Men - Mon PM

15 players · average NTRP 3.79 / NORTH CAROLINA

View scouting list →
Schedule4 played
2026-08-24vs RPietrykowski (PPRSC)Lost 12
L#1 DoublesScott Gallegos / Jamie ORourke vs Derek Norman / Alven Weil3-6, 5-7
W#2 DoublesChandrasekar Swaminathan / Leonard Evansek vs Andrew Ross / Rod Wilkes6-4, 0-6, 1-0
L#3 DoublesDevesh Patel / Manojkumar Panachikal Madhavan vs Kyle Harding / Kent Franks6-3, 2-6, 0-1
2026-08-17vs NSiens/JChung (Life Time)Lost 03
L#1 DoublesLawrence Jinks / Manojkumar Panachikal Madhavan vs Jordan Teel / Nate Hookman2-6, 2-6
L#2 DoublesKartik Mahalingam / Peter Hollis vs Jarrett Meadors / David Greer2-6, 2-6
L#3 DoublesChad Sallee / Timothy Hodge vs Oren Golanski / Luciano Gueikian4-6, 4-6
2026-08-10vs RGogate (Blakeney)Lost 12
L#1 DoublesKartik Mahalingam / Manojkumar Panachikal Madhavan vs Sourav Basu / Gustavo Carani3-6, 3-6
L#2 DoublesScott Gallegos / Leonard Evansek vs Jed Levitas / NARAYANA REDDY Nalamalpu3-6, 2-6
W#3 DoublesLawrence Jinks / Jamie ORourke vs Aleksandr Lvovich / Chirag Dua6-3, 7-6
2026-08-03vs DWatson (Queens)Won 21
L#1 DoublesDavid Tyson / Chandrasekar Swaminathan vs Vidya Kondabathini / Joseph Moubarak6-2, 4-6, 0-1
W#2 DoublesPeter Hollis / Ricky Marks vs Konstantin Archakov / Kyle Johnson7-6, 6-4
W#3 DoublesKevin Fox / Chad Sallee vs Sunil Mehta / Jason Olszewski6-2, 6-2
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 standings10 teams · 40 & Over Combo 7.5 Men - Mon PM
TeamWLInd. WInd. LSets lostGames lost
1NSiens/JChung (Life Time)3072565
2RGogate (Blakeney)2163767
3RLinder/RNanduri (Lifetime)2163976
4MRyan (Carmel)21541187
5JRitter (WSRC)21451180
6THodge (Blakeney)12361292
7SSofsian (PCC)12451288
8DWatson (Queens)12451287
9PBlandford (Mountainbrook)031816104
10SFredericks (Palisades)03181797

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 3.54 estimated across 15 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.

3.91
Chandrasekar Swaminathan
usually #1 Doubles 60%, also #2 Doubles 20% · published 4
3.83
Scott Gallegos
usually #2 Doubles 60%, also #1 Doubles 20% · published 4
3.83
Ricky Marks
usually #2 Doubles 100% · published 4
3.81
Chad Sallee
usually #3 Doubles 67%, also #1 Doubles 33% · published 4
3.80
Lawrence Jinks
usually #3 Doubles 60%, also #1 Doubles 20% · published 4
3.73
Devesh Patel
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.71
Kartik Mahalingam
usually #3 Doubles 50%, also #1 Doubles 25% · published 4
3.43
Jamie ORourke
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.42
Peter Hollis
usually #2 Doubles 100% · published 3.5
3.41
Leonard Evansek
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.36
Michael van Bergen
published 3.5
3.32
David Tyson
usually #1 Doubles 100% · published 3.5
3.25
Timothy Hodge
usually #3 Doubles 50%, also #2 Doubles 25% · published
3.18
Manojkumar Panachikal Madhavan
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
3.14
Kevin Fox
usually #3 Doubles 100% · 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 Tyson + Peter Hollis6358% games+6.3% vs expected
Ricky Marks + Devesh Patel5256% games+5.2% vs expected
Lawrence Jinks + Scott Gallegos8750% games+1.3% vs expected
Kartik Mahalingam + Chandrasekar Swaminathan71049% games+0.4% vs expected
Kartik Mahalingam + Scott Gallegos23957% games+0.1% vs expected
Ricky Marks + Chad Sallee4361% games−5.0% vs expected
Kartik Mahalingam + Lawrence Jinks71048% gamesnot enough data
Ricky Marks + Lawrence Jinks4453% 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.

4
Chandrasekar Swaminathan
78W–82L career · 5 lines in 2026
<1%75%25%
3.91
4
Scott Gallegos
106W–79L career · 5 lines in 2026
1%87%12%
3.83
4
Ricky Marks
112W–78L career · 3 lines in 2026
1%88%12%
3.83
4
Chad Sallee
17W–29L career · type A · 3 lines in 2026
1%90%9%
3.81
4
Lawrence Jinks
120W–95L career · 5 lines in 2026
2%91%8%
3.80
4
Devesh Patel
13W–10L career · 2 lines in 2026
5%92%3%
3.73
4
Kartik Mahalingam
173W–133L career · 4 lines in 2026
6%92%2%
3.71
Jamie ORourke
21W–7L career · 2 lines in 2026
<1%70%30%
3.43
3.5
Peter Hollis
56W–50L career · 2 lines in 2026
<1%72%28%
3.42
3.5
Leonard Evansek
186W–108L career · 3 lines in 2026
<1%74%26%
3.41
3.5
Michael van Bergen
89W–79L career · no lines in 2026
<1%83%17%
3.36
3.5
David Tyson
20W–12L career · 1 line in 2026
1%89%9%
3.32
Timothy Hodge
25W–20L career · 4 lines in 2026
3%93%4%
3.25
3.5
Manojkumar Panachikal Madhavan
5W–10L career · type S · 4 lines in 2026
10%89%1%
3.18
Kevin Fox
8W–7L career · 1 line in 2026
15%84%1%
3.14

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.