Teams

F 3.5S/7.0D SP Nieves

2023 NEOTA Fusion · NEOTA 3.5S

20 players · average NTRP 3.60 / 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 standings for NEOTA 3.5S 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 3.54 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.

3.87
Laurel Marsillo
published
Brian Steere
published 4
Elizabeth DeLuca
published 4
3.71
MAGGIE GRAY
published
3.67
Christian Droz
published 4
3.61
James Nieves
published 4
3.55
Barbara Greene
published 4
3.44
Troy Havens
published
3.28
DAVID GLENNY
published 3.5
Daniel Amato
published 3.5
Disha Pennington
published 3.5
3.23
Michelle Blanda
published
Eileen McDonald
published 3
Jack Marsillo
published 2.5
Betty Thompson
published
Joseph Bertrand
published
Manuel Victoriano
published
Michael Kramer
published
Timothy Sziraky
published
Yamaira Droz
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.

Laurel Marsillo + MAGGIE GRAY9163% games+9.2% vs expected
Disha Pennington + MAGGIE GRAY4168% games+2.4% vs expected
Elizabeth DeLuca + Laurel Marsillo4453% games−1.2% vs expected
Elizabeth DeLuca + MAGGIE GRAY3355% games−6.0% vs expected
Barbara Greene + Michelle Blanda5253% gamesnot enough data
Manuel Victoriano + DAVID GLENNY044 matchesnot enough data
Barbara Greene + MAGGIE GRAY404 matchesnot enough data
Laurel Marsillo + Michelle Blanda314 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.

Laurel Marsillo
149W–63L career · no lines in 2023
<1%85%15%
3.87
4
Brian Steere
17W–28L career · no lines in 2023
not enough data
4
Elizabeth DeLuca
68W–74L career · no lines in 2023
not enough data
MAGGIE GRAY
142W–88L career · no lines in 2023
6%93%1%
3.71
4
Christian Droz
8W–11L career · no lines in 2023
10%89%<1%
3.67
4
James Nieves
74W–54L career · no lines in 2023
21%79%<1%
3.61
4
Barbara Greene
84W–65L career · no lines in 2023
36%64%<1%
3.55
Troy Havens
78W–54L career · no lines in 2023
<1%66%34%
3.44
3.5
DAVID GLENNY
22W–34L career · no lines in 2023
1%94%5%
3.28
3.5
Daniel Amato
1W–5L career · no lines in 2023
not enough data
3.5
Disha Pennington
52W–43L career · no lines in 2023
not enough data
Michelle Blanda
142W–89L career · no lines in 2023
4%94%2%
3.23
3
Eileen McDonald
40W–32L career · no lines in 2023
not enough data
2.5
Jack Marsillo
12W–34L career · no lines in 2023
not enough data
Betty Thompson
7W–2L career · no lines in 2023
not enough data
Joseph Bertrand
0W–2L career · no lines in 2023
not enough data
Manuel Victoriano
38W–39L career · no lines in 2023
not enough data
Michael Kramer
92W–58L career · no lines in 2023
not enough data
Timothy Sziraky
32W–27L career · no lines in 2023
not enough data
Yamaira Droz
23W–29L 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.