Teams

Okubadejo - High On Tennis

2024 Howard Columbia Singles · Howard Columbia Singles 3.5 Men

7 players · average NTRP 3.80 / MARYLAND

View scouting list →
Schedule11 played
2024-10-31vs Ghim - Steely Vanguard SinglesWon 10
W#3 SinglesJalen Best vs Dooheon Ghim6-0, 6-0
2024-10-27Won 10
W#3 SinglesOlugbenga Okubadejo vs Alex Cheng2-6, 6-2, 1-0
2024-10-22vs Lippy - Jannik's Singles 3.5Won 10
W#3 SinglesOlugbenga Okubadejo vs Colin Lippy6-3, 6-4
2024-10-18vs Ghim - Steely Vanguard SinglesWon 30
W#1 SinglesTucker Howard vs Leonid Leznik6-1, 6-0
W#2 SinglesJalen Best vs Dooheon Ghim6-1, 6-3
W#3 SinglesOlugbenga Okubadejo vs Hyunjae Jeon3-6, 6-4, 1-0
2024-10-13vs Ahmed - Net NinjasWon 21
L#1 SinglesJalen Best vs Brian Wagner4-6, 1-6
W#2 SinglesTucker Howard vs Jay Nambiar6-0, 6-2
W#3 SinglesOlugbenga Okubadejo vs Habeeb Mohammed6-2, 6-2
2024-10-10vs Lippy - Jannik's Singles 3.5Won 10
W#1 SinglesTucker Howard vs Hakeem Clark6-1, 6-1
2024-10-06vs Ghim - Steely Vanguard SinglesWon 10
W#1 SinglesTucker Howard vs Matt Huether6-2, 6-3
2024-10-03vs Ahmed - Net NinjasSplit 11
L#1 SinglesTucker Howard vs Brian Wagner6-2, 5-7, 0-1
W#3 SinglesOlugbenga Okubadejo vs Jagan Mohan Parepally6-0, 6-3
2024-09-29vs Lippy - Jannik's Singles 3.5Won 10
W#1 SinglesJalen Best vs Bill Hartman6-3, 6-0
2024-09-22vs Ghim - Steely Vanguard SinglesSplit 11
W#1 SinglesJalen Best vs Keitaro Nishimura6-1, 6-4
L#2 SinglesOlugbenga Okubadejo vs Shubo Zhang2-6, 6-3, 1-0
2024-09-14Won 10
W#1 SinglesJalen Best vs Ramarao Tulluri6-2, 6-1
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 Howard Columbia Singles 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 3.55 estimated across 5 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.

3.93
Jalen Best
usually #1 Singles 67%, also #2 Singles 17% · published 4
3.77
Tucker Howard
usually #1 Singles 80%, also #2 Singles 20% · published 4
3.39
Olugbenga Okubadejo
usually #3 Singles 83%, also #2 Singles 17% · published 3.5
3.37
Shawn Drury
published
3.29
Mark Wang
published
Chris Takiar
published 3.5
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
Jalen Best
58W–21L career · 6 lines in 2024
<1%70%30%
3.93
4
Tucker Howard
172W–96L career · 5 lines in 2024
3%92%5%
3.77
4
Anzor Misabishvili
3W–4L career · no lines in 2024
not enough data
3.5
Olugbenga Okubadejo
256W–209L career · 6 lines in 2024
<1%79%21%
3.39
Shawn Drury
41W–35L career · no lines in 2024
<1%81%18%
3.37
Mark Wang
11W–15L career · no lines in 2024
2%91%7%
3.29
3.5
Chris Takiar
14W–2L career · no lines in 2024
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.