Teams

Smash Bros Tri-Level

Fall Adult 18 & Over Tri-Level · Men's 5.0, 4.5, 4.0

11 players · average NTRP 4.58 / TEXAS

View scouting list →
Schedule4 played
2025-10-05vs Not That TeamLost 01
L#1 DoublesDavin Hanton / Ralph Cunningham vs Brett Powers / Grant Chambers3-6, 1-6
2025-10-05vs Not That TeamWon 21
L#1 DoublesNikhil Ramachandran / Ralph Cunningham vs Grant Chambers / Manuel Orta4-6, 3-6
W#2 DoublesJoseph Walters / Chase Golden vs Andrew Gryce / Pushkar Chhajed7-5, 6-2
W#3 DoublesPrashant Sharma / Daniel Barajas vs Brad Wisdom / Aaron Price6-4, 5-7, 1-0
2025-10-04vs Not That TeamWon 10
W#1 DoublesNikhil Ramachandran / Davin Hanton vs Arik Suez / Brett Powers6-2, 6-4
2025-10-04vs Not That TeamLost 01
L#1 DoublesDavin Hanton / Nikhil Ramachandran vs Brett Powers / Arik Suez5-7, 6-4, 0-1
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 Men's 5.0, 4.5, 4.0 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 4.23 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.

4.66
Davin Hanton
usually #1 Doubles 100% · published 5
4.58
Avery Gilbert
published 5
4.40
Chase Golden
usually #2 Doubles 100% · published 4.5
4.33
Ralph Cunningham
usually #1 Doubles 100% · published
Darin Wong
published 4.5
4.06
Dennis Taylor
published 4.5
3.87
Prashant Sharma
usually #3 Doubles 100% · published
Daniel Barajas
published 4
3.69
Ryan Robles
published
Joseph Walters
published
Nikhil Ramachandran
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.

Ralph Cunningham + Chase Golden16070% games+9.8% vs expected
Joseph Walters + Chase Golden3343% games−9.9% vs expected
Daniel Barajas + Dennis Taylor224 matchesnot enough data
Joseph Walters + Darin Wong224 matchesnot enough data
Prashant Sharma + Dennis Taylor404 matchesnot enough data
Ryan Robles + Dennis Taylor033 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.

5
Davin Hanton
37W–42L career · 3 lines in 2025
no projection at this level
4.66
5
Avery Gilbert
41W–22L career · no lines in 2025
no projection at this level
4.58
4.5
Chase Golden
32W–22L career · 1 line in 2025
<1%76%24%
4.40
Ralph Cunningham
21W–11L career · 1 line in 2025
1%87%12%
4.33
4.5
Darin Wong
9W–17L career · no lines in 2025
not enough data
4.5
Dennis Taylor
55W–61L career · no lines in 2025
33%67%<1%
4.06
Prashant Sharma
38W–6L career · 1 line in 2025
<1%83%17%
3.87
4
Daniel Barajas
34W–31L career · no lines in 2025
not enough data
Ryan Robles
33W–42L career · no lines in 2025
9%89%1%
3.69
Joseph Walters
16W–22L career · no lines in 2025
not enough data
Nikhil Ramachandran
5W–5L career · 1 line in 2025
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.