Teams

DHorner (Blakeney)

2022 Adult 40 & Over League · 40 & Over Adult 3.5 Men - Mon PM

9 players · average NTRP 3.62 / NORTH CAROLINA

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Schedule5 played
2022-04-25vs JCook (Carmel CC)Split 11
W#1 DoublesTimothy Hodge / Michael van Bergen vs Robert Aliota / Tom Shober6-3, 3-6, 1-0
L#1 SinglesGanesh Pallem vs Steve Hitzemann0-6, 7-6, 0-1
2022-04-11vs TFarley (Park Crossing)Won 10
W#2 DoublesMarc Surprenant / Ganesh Pallem vs Jeff Lynds / Rick Haskell5-7, 6-3, 1-0
2022-03-28vs MRousseaux (Weddington)Lost 01
L#1 DoublesMatt Verrill / Michael van Bergen vs Kevin Warren / Jonathan Williams1-6, 6-7
2022-03-21vs KFranks (PPRSC)Won 10
W#1 SinglesGanesh Pallem vs Chris McIver6-1, 6-4
2022-03-16vs ABackus (Southampton)Won 20
W#1 DoublesMichael van Bergen / Timothy Hodge vs Aaron Backus / Chris Turbyfill3-2
W#3 DoublesKevin Fox / Ganesh Pallem vs Victor Flake / David Simon6-2, 6-4
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 40 & Over Adult 3.5 Men - Mon PM 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 3.38 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.

3.73
Robert Shore
published
3.53
Brandon Wright
published 4
3.47
Ganesh Pallem
usually #1 Doubles 38%, also #3 Doubles 25% · published 3.5
3.36
Michael van Bergen
usually #1 Doubles 100% · published 3.5
3.29
Patricio Aycinena
published
3.28
Timothy Hodge
published
3.20
Benjamin Bergeson
published 3.5
3.14
Kevin Fox
published
Matt Verrill
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.

Michael van Bergen + Ganesh Pallem10361% games+6.2% vs expected
Timothy Hodge + Michael van Bergen033 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.

Robert Shore
30W–22L career · no lines in 2022
4%94%2%
3.73
4
Brandon Wright
1W–2L career · no lines in 2022
41%59%<1%
3.53
3.5
Ganesh Pallem
129W–71L career · 8 lines in 2022
<1%60%40%
3.47
3.5
Michael van Bergen
89W–80L career · 3 lines in 2022
<1%85%14%
3.36
Patricio Aycinena
4W–4L career · no lines in 2022
1%93%5%
3.29
Timothy Hodge
44W–44L career · no lines in 2022
2%94%4%
3.28
3.5
Benjamin Bergeson
8W–9L career · no lines in 2022
6%93%1%
3.20
Kevin Fox
11W–17L career · no lines in 2022
14%86%<1%
3.14
Matt Verrill
2W–2L career · no 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.