Teams

High on Tennis 3.5M Singles

2023 Howard Columbia Singles · Howard Columbia Singles 3.5 Men

11 players · average NTRP 3.71 / MARYLAND

View scouting list →
Schedule8 played
2023-11-02vs I'd Hit That 3.5M SinglesWon 20
W#2 SinglesTucker Howard vs Sridhar Atluri5-7, 6-2, 1-0
W#3 SinglesOlugbenga Okubadejo vs Joseph Kurtz6-4, 6-3
2023-10-23vs Lucky Losers 3.5M SinglesLost 01
L#2 SinglesJon Roll vs Jarey Wang2-6, 0-6
2023-10-12vs I'd Hit That 3.5M SinglesWon 10
W#1 SinglesKeitaro Nishimura vs Naveed Nekoo6-0, 5-7, 1-0
2023-10-06vs I'd Hit That 3.5M SinglesLost 01
L#1 SinglesKeitaro Nishimura vs Naveed Nekoo6-1, 3-6, 0-1
2023-10-03vs Lucky Losers 3.5M SinglesSplit 11
W#1 SinglesKeitaro Nishimura vs Kwangsoo Jeon6-2, 6-3
L#3 SinglesOlugbenga Okubadejo vs Jim Kehres3-6, 6-6
2023-09-19Won 10
W#1 SinglesOlugbenga Okubadejo vs Henk Haarmann6-1, 6-1
2023-09-18Lost 01
L#3 SinglesJon Roll vs Brandon Sanders3-6, 0-6
2023-09-12vs I'd Hit That 3.5M SinglesSplit 11
W#1 SinglesTucker Howard vs Naveed Nekoo6-3, 6-4
L#3 SinglesOlugbenga Okubadejo vs Niraj Jani6-7, 0-3
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 3.36 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.

3.76
Tucker Howard
usually #1 Singles 50%, also #2 Singles 50% · published 4
3.60
Keitaro Nishimura
usually #1 Singles 100% · published 4
3.56
Gabriel Silverman
published 3.5
3.35
Olugbenga Okubadejo
usually #3 Singles 75%, also #1 Singles 25% · published 3.5
Chris Takiar
published 3.5
3.18
Kabir Goyal
published
3.17
Jon Roll
usually #3 Singles 50%, also #2 Singles 50% · published 3.5
3.14
3.12
Mervin Dennis
published
Nigel Graham
published
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
Tucker Howard
173W–96L career · 2 lines in 2023
2%94%3%
3.76
4
Anzor Misabishvili
3W–4L career · no lines in 2023
not enough data
4
Keitaro Nishimura
148W–63L career · 3 lines in 2023
23%77%<1%
3.60
3.5
Gabriel Silverman
14W–4L career · no lines in 2023
<1%31%69%
3.56
3.5
Olugbenga Okubadejo
256W–211L career · 4 lines in 2023
<1%88%12%
3.35
3.5
Chris Takiar
14W–2L career · no lines in 2023
not enough data
Kabir Goyal
2W–1L career · no lines in 2023
8%91%1%
3.18
3.5
Jon Roll
32W–41L career · 2 lines in 2023
9%90%1%
3.17
Mehdy Sedaghat Payam
22W–17L career · no lines in 2023
<1%14%86%
3.14
Mervin Dennis
2W–8L career · no lines in 2023
17%83%<1%
3.12
Nigel Graham
0W–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.