Teams

F 3.0S/6.0D WE Lodge

2022 NEOTA Fusion · NEOTA 3.0S

20 players · average NTRP 3.17 / 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 →
Schedule
Flight standings10 teams · NEOTA 3.0S
TeamWLInd. WInd. LSets lostGames lost
1F 3.0S/6.0D CC Dixon9036921263
2F 3.0S/6.0D NC Booher72321330302
3F 3.0S/6.0D PM Farr72252042329
4F 3.0S/6.0D WE Lodge63252045349
5F 3.0S/6.0D PW Merugu54222349405
6F 3.0S/6.0D MM Mei45232248375
7F 3.0S/6.0D CRC Shand36182758426
8F 3.0S/6.0D TP Farrell27162959402
9F 3.0S/6.0D MV Beebe18182757419
10F 3.0S/6.0D CV Carroll18103574496

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 2.85 estimated across 10 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.

Andrea Ayyappan
published 3.5
Ellen Martin
published 3.5
Guy Saponaro
published 3.5
3.20
Lindsay Lodge
published
3.16
Caren Kirchick
published 3.5
3.00
Denise Hwang
published 3
2.99
Meredith Fox
published
2.90
Laura Suglia-Isgro
published
2.75
Jim Hester
published
Connie Jiang
published 3
JP Ayyappan
published 3
2.66
Kate OHara
published
2.64
Jennifer Grable
published
2.60
Andrew Burnight
published 3
2.55
John Fenner
published
Brandon Hopkins
published 2.5
Helen Wolf
published
Joseph DeBoth
published
Kiyotaka Fukamachi
published
Nadia Wearsch
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.

Nadia Wearsch + Lindsay Lodge8064% games+2.5% vs expected
Jennifer Grable + Laura Suglia-Isgro6455% games+1.9% vs expected
Andrea Ayyappan + Lindsay Lodge5652% games−0.8% vs expected
Jennifer Grable + Kate OHara2339% gamesnot enough data
Ellen Martin + Lindsay Lodge3257% gamesnot enough data
JP Ayyappan + Joseph DeBoth3249% gamesnot enough data
JP Ayyappan + Kiyotaka Fukamachi0527% gamesnot enough data
Nadia Wearsch + Andrea Ayyappan224 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.

3.5
Andrea Ayyappan
82W–69L career · no lines in 2022
not enough data
3.5
Ellen Martin
44W–37L career · no lines in 2022
not enough data
3.5
Guy Saponaro
7W–5L career · no lines in 2022
not enough data
Lindsay Lodge
112W–89L career · no lines in 2022
6%93%1%
3.20
3.5
Caren Kirchick
79W–79L career · no lines in 2022
10%89%<1%
3.16
3
Denise Hwang
82W–79L career · no lines in 2022
<1%51%49%
3.00
Meredith Fox
66W–31L career · no lines in 2022
<1%54%46%
2.99
Laura Suglia-Isgro
65W–77L career · no lines in 2022
<1%77%23%
2.90
Jim Hester
33W–55L career · no lines in 2022
2%95%3%
2.75
3
Connie Jiang
39W–27L career · no lines in 2022
not enough data
3
JP Ayyappan
41W–69L career · no lines in 2022
not enough data
Kate OHara
53W–56L career · no lines in 2022
11%89%<1%
2.66
Jennifer Grable
34W–43L career · no lines in 2022
14%86%<1%
2.64
3
Andrew Burnight
17W–27L career · no lines in 2022
23%77%<1%
2.60
John Fenner
9W–23L career · no lines in 2022
36%64%<1%
2.55
2.5
Brandon Hopkins
4W–5L career · no lines in 2022
not enough data
Helen Wolf
11W–21L career · no lines in 2022
not enough data
Joseph DeBoth
12W–19L career · no lines in 2022
not enough data
Kiyotaka Fukamachi
32W–81L career · no lines in 2022
not enough data
Nadia Wearsch
52W–23L career · no lines in 2022
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.