Teams

OD 4.0M Dilyard

2023 NEOTA One-Doubles · NEOTA OD 4.0 Men

3 players · average NTRP 4.50 / NORTHEASTERN OHIO

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 →
Schedule10 played
2023-08-03vs OD 4.0M FarrellWon 10
W#1 DoublesDavid Dilyard / John Dilyard vs Murphy Dickason / Robert Farrell6-3, 6-4
2023-07-21vs OD 4.0M MerazWon 10
W#1 DoublesDavid Dilyard / John Dilyard vs Kevin Meraz / Patrick Thomas6-0, 7-6
2023-07-15vs OD 4.0M LefflerWon 10
W#1 DoublesDavid Dilyard / Jeff Dilyard vs Daniel Chirayath / Christopher Buford6-2, 6-1
2023-07-08vs OD 4.0M BurtnettWon 10
W#1 DoublesDavid Dilyard / John Dilyard vs Seth Unger / Peter Frankfort6-2, 6-0
2023-06-25vs OD 4.0M HannanWon 10
W#1 DoublesDavid Dilyard / John Dilyard vs Ryan Hannan / Paul Mitnick6-1, 6-0
2023-06-18vs OD 4.0M MerazWon 10
W#1 DoublesJohn Dilyard / David Dilyard vs James Dray / Sai Venkata6-1, 7-6
2023-06-17vs OD 4.0M FarrellWon 10
W#1 DoublesDavid Dilyard / Jeff Dilyard vs Robert Farrell / Bret Faber6-3, 6-1
2023-06-03vs OD 4.0M LefflerWon 10
W#1 DoublesDavid Dilyard / John Dilyard vs Christopher Buford / Michael Kramer6-1, 6-1
2023-05-27vs OD 4.0M BurtnettLost 01
L#1 DoublesJohn Dilyard / Jeff Dilyard vs Peter Frankfort / Seth Unger5-7, 2-6
2023-05-20vs OD 4.0M HannanWon 10
W#1 DoublesDavid Dilyard / John Dilyard vs Ryan Hannan / Eric van Airsdale6-3, 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 standings6 teams · NEOTA OD 4.0 Men
TeamWLInd. WInd. LSets lostGames lost
1OD 4.0M Dilyard9191252
2OD 4.0M Burtnett6464890
3OD 4.0M Hannan55551178
4OD 4.0M Meraz555512103
5OD 4.0M Farrell373714107
6OD 4.0M Leffler282818115

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 4.26 estimated across 2 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.

4.53
David Dilyard
usually #1 Doubles 100% · published 4.5
4.00
John Dilyard
usually #1 Doubles 100% · published
Jeff Dilyard
usually #1 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.

John Dilyard + David Dilyard171355% games+4.4% vs expected
John Dilyard + Jeff Dilyard1442% gamesnot enough data
Jeff Dilyard + David Dilyard4163% 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.

4.5
David Dilyard
99W–79L career · 9 lines in 2023
<1%41%59%
4.53
John Dilyard
79W–74L career · 8 lines in 2023
<1%50%50%
4.00
Jeff Dilyard
6W–10L career · 3 lines in 2023
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.