Teams

Eyman - Fire & Slice

2026 Montgomery Tri-Level Fall · Montgomery Tri-Level Fall 3.5, 3.0, 2.5 Women

19 players · average NTRP 3.20 / MARYLAND

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 standings3 teams · Montgomery Tri-Level Fall 3.5, 3.0, 2.5 Women
TeamWLInd. WInd. LSets lostGames lost
1Eyman - Fire & Slice000000
2Aizpuru - The Aiz Pack000000
3Grynaviski000000

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 2.98 estimated across 19 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.

3.33
Angela Helder
published 3.5
3.32
Lynn Pendergast
published 3.5
3.30
Marie Israelite
published
3.27
Denise Levis
published 3.5
3.21
Kara Stegeman
published 3
3.15
Katherine Dodson
published
3.13
Nikki Eyman
published 3.5
3.11
Prashila Dullabh
published 3
3.08
Stacey White
published
3.04
Carol Darling
published 3
3.03
Caroline Storer
published 3
2.97
2.92
Margueritte Harlow
published
2.80
2.72
Tonya Esposito
published
2.63
Kim Cooper
published
2.60
Yu Gu
published
2.54
Grace Gan
published
2.47
Donna Westervelt
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.

Maria Angelica Camp + Carol Darling4159% games+2.0% vs expected
Lynn Pendergast + Nikki Eyman9653% games+1.7% vs expected
Nikki Eyman + Denise Levis6349% gamesnot enough data
Katherine Dodson + Maria Angelica Camp044 matchesnot enough data
Maria Angelica Camp + Nikki Eyman224 matchesnot enough data
Carol Darling + Jennifer Lora Gleason404 matchesnot enough data
Caroline Storer + Maria Angelica Camp123 matchesnot enough data
Katherine Dodson + Angela Helder033 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
Angela Helder
98W–75L career · no lines in 2026
1%87%12%
3.33
3.5
Lynn Pendergast
36W–40L career · no lines in 2026
1%89%10%
3.32
Marie Israelite
11W–11L career · no lines in 2026
2%91%7%
3.30
3.5
Denise Levis
131W–88L career · no lines in 2026
3%92%5%
3.27
3
Kara Stegeman
81W–36L career · no lines in 2026
<1%7%93%
3.21
Katherine Dodson
44W–68L career · no lines in 2026
14%85%1%
3.15
3.5
Nikki Eyman
232W–188L career · no lines in 2026
17%82%<1%
3.13
3
Prashila Dullabh
91W–60L career · no lines in 2026
<1%21%79%
3.11
Stacey White
17W–12L career · no lines in 2026
<1%28%72%
3.08
3
Carol Darling
45W–29L career · no lines in 2026
<1%39%61%
3.04
3
Caroline Storer
39W–31L career · no lines in 2026
<1%41%59%
3.03
3
Maria Angelica Camp
144W–113L career · no lines in 2026
<1%58%42%
2.97
Margueritte Harlow
3W–1L career · no lines in 2026
<1%73%27%
2.92
3
Jennifer Lora Gleason
54W–38L career · no lines in 2026
2%91%7%
2.80
Tonya Esposito
12W–14L career · no lines in 2026
6%92%2%
2.72
Kim Cooper
15W–11L career · no lines in 2026
17%82%<1%
2.63
Yu Gu
3W–4L career · no lines in 2026
25%75%<1%
2.60
Grace Gan
10W–11L career · no lines in 2026
38%61%<1%
2.54
Donna Westervelt
2W–10L career · no lines in 2026
59%41%<1%
2.47

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.