Teams

A18 3.5M LT1 Fiedler

2025 NEOTA Adult 18 & Over Summer · NEOTA A18&O 3.5 Men Summer

15 players · average NTRP 3.50 / NORTHEASTERN OHIO

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Flight standings13 teams · NEOTA A18&O 3.5 Men Summer
TeamWLInd. WInd. LSets lostGames lost
1A18 3.5M AO Messina10042822288
2NEO/Rericha/A18/3.5M91381229379
3A18 3.5M NC1 Burnett82361433382
4A18 3.5M MV2 Nine73321843409
5A18 3.5M PW Stasek64292148419
6A18 3.5M LT1 Fiedler64272353431
7A18 3.5M MV1 Gau64242659468
8A18 3.5M MM2 Viswanathan46232758440
9A18 3.5M MM1 Schechter46222866489
10A18 3.5M TP Burchfield28153571487
11A18 3.5M TRR Haselswerdt19173372526
12A18 3.5M CRC Qadir19113983541
13A18 3.5M GR Ginnetti1954593582

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 3.17 estimated across 11 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.

3.69
Yechun Fu
usually #2 Singles 50%, also #1 Singles 50% · published
3.48
Sanjil Magar
published
3.24
SHENGYONG WANG
published
3.17
Brian Vaught
published 3.5
3.15
Steven Wood
published
3.09
Geoff Fiedler
published
3.09
Jeff Sterling
published
3.04
Lucas Cimera
published
3.03
Jay Choi
usually #1 Singles 100% · published
2.99
Florencio Marquinez
usually #1 Singles 100% · published
2.86
Chris Thompson
published 3.5
Erik Wasowski
published
Joe Ronghi
published
Kevin Si
published
Matthew Pallo
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.

Yechun Fu + Steven Wood6073% games+22.1% vs expected
Yechun Fu + Geoff Fiedler5249% games+3.2% vs expected
Geoff Fiedler + Steven Wood6548% games+1.7% vs expected
Jeff Sterling + Chris Thompson8950% games−4.0% vs expected
SHENGYONG WANG + Florencio Marquinez3251% gamesnot enough data
Jeff Sterling + Geoff Fiedler213 matchesnot enough data
Jeff Sterling + Brian Vaught123 matchesnot enough data
SHENGYONG WANG + Steven Wood303 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.

Yechun Fu
30W–16L career · 2 lines in 2025
9%90%1%
3.69
Sanjil Magar
4W–1L career · no lines in 2025
<1%55%45%
3.48
SHENGYONG WANG
27W–37L career · no lines in 2025
5%92%3%
3.24
3.5
Brian Vaught
21W–22L career · no lines in 2025
12%87%1%
3.17
Steven Wood
75W–26L career · no lines in 2025
<1%14%86%
3.15
Geoff Fiedler
86W–51L career · no lines in 2025
26%74%<1%
3.09
Jeff Sterling
72W–47L career · no lines in 2025
26%74%<1%
3.09
Lucas Cimera
21W–5L career · no lines in 2025
<1%38%62%
3.04
Jay Choi
20W–11L career · 2 lines in 2025
<1%42%58%
3.03
Florencio Marquinez
42W–24L career · 1 line in 2025
<1%53%47%
2.99
3.5
Chris Thompson
35W–46L career · no lines in 2025
84%16%<1%
2.86
Erik Wasowski
33W–22L career · no lines in 2025
not enough data
Joe Ronghi
6W–10L career · no lines in 2025
not enough data
Kevin Si
1W–8L career · no lines in 2025
not enough data
Matthew Pallo
2W–4L career · no lines 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.