Teams

Aftershocks

2022 Mixed 40 & Over · 8.0

7 players · average NTRP 3.83 / ALASKA

View scouting list →
Schedule6 played
2021-11-20vs Allen CSplit 11
L#1 DoublesAllison Erickson / Dane Markell vs Allen Clendaniel / Catherine Stone2-6, 3-6
W#2 DoublesELIZE Rumley / Phu Ngo vs Paul Hemry / Zareena Clendaniel6-4, 6-2
2021-11-13vs Team 8Won 20
W#1 DoublesPhu Ngo / ELIZE Rumley vs Alice Knapp / Curtis Nelson6-2, 6-2
W#2 DoublesAllison Erickson / Dane Markell vs Triin Minton / Edward Foster6-0, 6-3
2021-11-06vs ThomasLost 12
W#1 DoublesPhu Ngo / Trena Rairdon vs April Korshin / NOEL LASTIMOSO6-1, 6-3
L#2 DoublesDane Markell / Christine Fagerstrom vs Thomas Kivlan / Cindy Nunn2-6, 4-6
L#3 DoublesJimmy Kayongo / Allison Erickson vs Preecha Pongphai / Dana Griffin6-1, 3-6, 0-1
2021-10-30vs Allen CWon 21
L#1 DoublesELIZE Rumley / Joe Buckwalter vs Paul Hemry / Aracelis Bell3-6, 6-7
W#2 DoublesAllison Erickson / Dane Markell vs Allen Clendaniel / Zareena Clendaniel6-1, 6-3
W#3 DoublesPhu Ngo / Trena Rairdon vs Sarah Gillstrom / Nathan Carr6-4, 6-1
2021-10-23vs ThomasWon 30
W#1 DoublesPhu Ngo / Christine Fagerstrom vs Preecha Pongphai / Karen Loeffler6-2, 6-1
W#2 DoublesAllison Erickson / Jimmy Kayongo vs Anthony Brooks / Cindy Nunn6-3, 6-2
W#3 DoublesDane Markell / Trena Rairdon vs April Korshin / NOEL LASTIMOSO6-3, 7-6
2021-10-16vs Team 8Won 21
W#1 DoublesAllison Erickson / Dane Markell vs Edward Foster / Rebecca Kinworthy6-0, 6-1
L#2 DoublesELIZE Rumley / Joe Buckwalter vs Marco Terracciano / Alice Knapp2-6, 6-3, 0-1
W#3 DoublesPhu Ngo / Trena Rairdon vs Stacia Green / Jay Green6-2, 6-0
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 standings3 teams · 8.0
TeamWLInd. WInd. LSets lostGames lost
1Aftershocks4211714125
2Team 82471125177
3Thomas1561226176

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 3.69 estimated across 4 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.

3.99
Allison Erickson
usually #1 Doubles 50%, also #2 Doubles 40% · published 4
Dane Markell
usually #2 Doubles 50%, also #1 Doubles 30% · published 4
Trena Rairdon
usually #3 Doubles 75%, also #1 Doubles 25% · published 4
3.70
Joe Buckwalter
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.67
ELIZE Rumley
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.38
Jimmy Kayongo
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
Phu Ngo
usually #1 Doubles 50%, also #3 Doubles 33% · 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.

Allison Erickson + Dane Markell8369% games+12.3% vs expected
Phu Ngo + ELIZE Rumley11071% gamesnot enough data
Allison Erickson + Jimmy Kayongo3360% gamesnot enough data
Trena Rairdon + Phu Ngo404 matchesnot enough data
ELIZE Rumley + Dane Markell314 matchesnot enough data
Trena Rairdon + Dane Markell303 matchesnot enough data
Joe Buckwalter + ELIZE Rumley033 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.

4
Allison Erickson
166W–36L career · 10 lines in 2022
<1%53%47%
3.99
4
Dane Markell
61W–29L career · type S · 10 lines in 2022
not enough data
4
Trena Rairdon
42W–30L career · 4 lines in 2022
not enough data
4
Joe Buckwalter
88W–77L career · 2 lines in 2022
6%93%1%
3.70
3.5
ELIZE Rumley
56W–59L career · type M · 4 lines in 2022
<1%10%90%
3.67
3.5
Jimmy Kayongo
15W–9L career · type S · 2 lines in 2022
<1%82%18%
3.38
Phu Ngo
47W–0L career · 6 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.