Teams

Racq Pack

2023 Prince Georges Adult 40 & Over · Prince George's Adult 40 & Over 3.5 Men

11 players · average NTRP 3.38 / MARYLAND

View scouting list →
Schedule5 played
2023-07-08vs AcersLost 01
L#2 DoublesNathaniel Davis / Steven Gibau vs Matthew Warren / Stacey Portis6-7, 4-6
2023-07-02vs AcersSplit 11
W#1 DoublesOlugbenga Okubadejo / Keenan Keeling vs Matthew Warren / Gabriel Moise6-0, 6-2
L#2 DoublesSteven Gibau / Nathaniel Davis vs Stacey Portis / John Burns6-7, 1-6
2023-07-01vs AcersWon 10
W#1 DoublesSteven Gibau / Keenan Keeling vs Brian Lynch / Stacey Portis6-4, 6-2
2023-06-26Won 10
W#2 DoublesDaniel Bloom / Keenan Keeling vs N/A6-0, 6-0
2023-06-24vs AcersWon 20
W#1 DoublesEric Kruszewski / Keenan Keeling vs Gabriel Moise / Vernon Clayton6-3, 6-1
W#2 DoublesSteven Gibau / Olugbenga Okubadejo vs Matthew Warren / Stacey Portis7-5, 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 standings for Prince George's Adult 40 & Over 3.5 Men 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 3.17 estimated across 7 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.

3.56
Gabriel Silverman
published
3.39
Olugbenga Okubadejo
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.25
Keenan Keeling
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.12
Mervin Dennis
published
3.03
Steven Gibau
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
2.97
Larry McCollum
published
2.87
Nathaniel Davis
published
Eric Kruszewski
published
Ian Jones
published
Joe Sampson
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.

Steven Gibau + Olugbenga Okubadejo2545% gamesnot enough data
Keenan Keeling + Steven Gibau123 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.

Gabriel Silverman
14W–4L career · no lines in 2023
<1%33%67%
3.56
3.5
Olugbenga Okubadejo
256W–209L career · 2 lines in 2023
<1%79%21%
3.39
3.5
Keenan Keeling
85W–69L career · 4 lines in 2023
4%93%4%
3.25
Mervin Dennis
2W–8L career · no lines in 2023
19%81%<1%
3.12
3.5
Steven Gibau
167W–242L career · 4 lines in 2023
41%59%<1%
3.03
Larry McCollum
7W–24L career · no lines in 2023
58%42%<1%
2.97
Nathaniel Davis
2W–2L career · no lines in 2023
<1%82%18%
2.87
3
Diana Williams Gibau
10W–9L career · no lines in 2023
not enough data
Eric Kruszewski
4W–4L career · no lines in 2023
not enough data
Ian Jones
10W–13L career · no lines in 2023
not enough data
Joe Sampson
2W–1L career · no 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.