Teams

Feisty Monkeys

2021 18&Over Mixed · 6.0

6 players · average NTRP 3.50 / WESTERN REGION

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 →
Schedule7 played
2021-03-20vs SnowballsWon 10
W#2 DoublesJill Morrish / Anthony Yates vs Yan Chen / Hsin Lu2-6, 6-2, 1-0
2021-03-13vs SnowballsLost 02
L#1 DoublesJill Morrish / Chucko Mu vs Katherine AIken / Jason Lynch1-6, 0-6
L#2 DoublesMargaret Popek / Anthony Yates vs Claire Waldron / David Waldron6-1, 1-6, 0-1
2021-02-26vs SnowballsLost 12
W#1 DoublesAngelika Goncharova / Anthony Yates vs Hsin Lu / Udeme Ukutt6-7, 5-3
L#2 DoublesDonna Jones / Steven Gattuso vs Claire Waldron / David Waldron1-6, 0-6
L#3 DoublesMargaret Popek / Jonathan Willard vs Emily Nuding / Yan Chen0-6, 4-6
2021-02-13vs SnowballsLost 02
L#1 DoublesJill Morrish / Jonathan Willard vs Emily Nuding / Marco Notaro0-6, 0-6
L#3 DoublesDonna Jones / Steven Gattuso vs Hsin Lu / Jason Lynch0-6, 0-6
2021-02-06vs SnowballsLost 01
L#3 DoublesJill Morrish / Steven Gattuso vs Jane Fuller / Marco Notaro0-6, 0-6
2021-01-29vs SnowballsLost 02
L#1 DoublesAngelika Goncharova / Steven Gattuso vs Emily Nuding / Jason Lynch0-6, 0-6
L#2 DoublesJill Morrish / Jonathan Willard vs Jane Fuller / Udeme Ukutt1-6, 3-6
2021-01-22vs SnowballsLost 03
L#1 DoublesDonna Jones / Anthony Yates vs Katherine AIken / Naveen Selvaraj5-7, 2-6
L#2 DoublesAngelika Goncharova / Jonathan Willard vs Emily Nuding / Yan Chen1-6, 2-6
L#3 DoublesJill Morrish / Chucko Mu vs Hsin Lu / Jason Lynch2-6, 4-6
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 standings2 teams · 6.0
TeamWLInd. WInd. LSets lostGames lost
1Snowballs07192489
2Feisty Monkeys0721940246

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 3.57 estimated across 1 rated player. 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.

3.57
Anthony Yates
usually #1 Doubles 44%, also #2 Doubles 44% · published 3.5
Angelika Goncharova
published
Jill Morrish
usually #2 Doubles 33%, also #1 Doubles 33% · published
Jonathan Willard
usually #2 Doubles 50%, also #3 Doubles 25% · published
Margaret Popek
published
Steven Gattuso
usually #3 Doubles 50%, also #2 Doubles 25% · published
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
Anthony Yates
84W–62L career · 9 lines in 2021
<1%30%70%
3.57
Angelika Goncharova
1W–2L career · no lines in 2021
not enough data
Jill Morrish
6W–23L career · 6 lines in 2021
not enough data
Jonathan Willard
6W–15L career · 4 lines in 2021
not enough data
Margaret Popek
2W–3L career · no lines in 2021
not enough data
Steven Gattuso
3W–15L career · 4 lines in 2021
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.