Teams

Barton Strings

Winter Adult 18-39 League (Non-Adv) · Mens 4.0 18-39

10 players · average NTRP 3.83 / TEXAS

View scouting list →
Schedule5 played
2026-03-22vs Net Warriors 4.0Won 10
W#1 Male DoublesJ Beightol / Ningwei Li vs Graham Bryan / Colton Lusson7-6, 6-3
2026-03-08Won 10
W#1 Male SinglesNingwei Li vs N/A6-0, 6-0
2026-03-01vs Passing ShotsLost 01
L#1 Male DoublesNingwei Li / Weiliang Qiao vs Jonathan Peltier / Quinn Davis1-6, 4-6
2026-02-01vs Net Warriors 4.0Won 10
W#2 Male DoublesJ Beightol / Ningwei Li vs Alejandro Downey / Javier Rivera7-5, 6-1
2026-01-11vs Passing ShotsWon 10
W#1 Male DoublesNingwei Li / J Beightol vs Brad Wisdom / Everett Meza7-5, 3-6, 1-0
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 standings4 teams · Mens 4.0 18-39
TeamWLInd. WInd. LSets lostGames lost
1Passing Shots7118616147
2Barton Strings53141022185
3Net Warriors 4.034101122175
4Young Busters0731838240

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 3.66 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.

3.89
Brook Bulcha
published 4
Daniel Rivera
published 4
3.73
Ningwei Li
usually #1 Male Doubles 60%, also #2 Male Doubles 20% · published
3.72
J Beightol
published
3.66
3.65
Weiliang Qiao
published
3.64
Siva Manda
published
3.54
Ganesh Iyer
published
3.49
Jason Fraley
published
Chris Kenny
published 3.5
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.

Siva Manda + Brook Bulcha5254% games+3.3% vs expected
Ningwei Li + J Beightol9553% games+1.8% vs expected
Siva Manda + J Beightol213 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.

4
Brook Bulcha
7W–2L career · no lines in 2026
<1%78%22%
3.89
4
Daniel Rivera
34W–12L career · no lines in 2026
not enough data
Ningwei Li
34W–19L career · 5 lines in 2026
5%92%3%
3.73
J Beightol
10W–9L career · no lines in 2026
6%92%2%
3.72
Mario Gonzalez Rosino
17W–13L career · no lines in 2026
13%87%1%
3.66
Weiliang Qiao
2W–8L career · no lines in 2026
15%85%1%
3.65
Siva Manda
15W–27L career · no lines in 2026
16%83%<1%
3.64
Ganesh Iyer
7W–2L career · no lines in 2026
38%62%<1%
3.54
Jason Fraley
32W–30L career · no lines in 2026
54%46%<1%
3.49
3.5
Chris Kenny
20W–7L career · no lines in 2026
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.