Teams

RTC-Armellino

2022 Coed 18-39 · 5.0 Coed

9 players · average NTRP 4.64 / NORTHWEST WASHINGTON

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Schedule6 played
2022-02-26vs NTC-LinkLost 14
L#1 Female DoublesLena Arafa / Tamra Godfrey vs Blakeley Bean / Erin Link3-6
L#1 Female SinglesLena Arafa vs Erin Link2-6
W#1 Male DoublesStefan Bach / Donny Baugh vs Michael Okada / Alex Mathers6-4
L#1 Male SinglesStefan Bach vs Stephen Chang5-6
L#1 Mixed DoublesDaniel Armellino / Lena Arafa vs Blakeley Bean / Alex Mathers4-6
2022-02-13vs NTC-LinkLost 13
L#1 Female DoublesLena Arafa / Crystal Vo vs Erin Link / Kailyn Skjonsby1-6
L#1 Female SinglesLena Arafa vs Lora Edens3-6
W#1 Male DoublesDaniel Armellino / Stefan Bach vs Alex Mathers / Michael Okada6-4
L#1 Male SinglesStefan Bach vs Michael Okada5-6
2022-02-12vs AYTC-HoodLost 03
L#1 Female DoublesNatalia Devore / Paris Yandall vs Carmen Blanco / Olivia Headford0-6
L#1 Male DoublesDaniel Armellino / Michael Cheong vs Jason Bower / James Crosetto4-6
L#1 Male SinglesDaniel Armellino vs James Crosetto3-6
2022-02-05vs FC-TaisLost 13
L#1 Female DoublesNatalia Devore / Tamra Godfrey vs Mia Nguyen / Tami Snow3-6
L#1 Female SinglesTamra Godfrey vs Tami Snow0-6
W#1 Male DoublesDonny Baugh / Michael Cheong vs Michael Costello / Ciprian Tais6-2
L#1 Male SinglesMichael Cheong vs Frederick Walsh3-6
2022-01-22vs AYTC-HoodSplit 22
L#1 Female DoublesTamra Godfrey / Lena Arafa vs Carmen Blanco / Sophia Kissin1-6
W#1 Female SinglesLena Arafa vs Sophia Kissin6-5
L#1 Male DoublesDaniel Armellino / Donny Baugh vs Jason Bower / James Crosetto3-6
W#1 Male SinglesDaniel Armellino vs Jason Bower6-2
2022-01-16vs FC-TaisLost 13
L#1 Female DoublesNatalia Devore / Tamra Godfrey vs Samantha Haley / Tami Snow2-6
L#1 Female SinglesTamra Godfrey vs Samantha Haley1-6
W#1 Male DoublesDaniel Armellino / Stefan Bach vs Ciprian Tais / Frederick Walsh6-3
L#1 Male SinglesDaniel Armellino vs Frederick Walsh5-6
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 standings4 teams · 5.0 Coed
TeamWLInd. WInd. LSets lostGames lost
1FC-Tais062977115
2AYTC-Hood06211515145
3NTC-Link06132323180
4RTC-Armellino0692727190

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 4.37 estimated across 7 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.

Donny Baugh
usually #1 Male Doubles 67%, also #1 Male Singles 33% · published 5
4.72
Daniel Armellino
usually #1 Male Singles 56%, also #1 Male Doubles 33% · published 5
4.56
Stefan Bach
usually #1 Male Singles 67%, also #1 Male Doubles 33% · published 5
4.47
Tamra Godfrey
usually #1 Female Singles 50%, also #1 Female Doubles 50% · published 4.5
4.44
Michael Cheong
usually #1 Male Doubles 67%, also #1 Male Singles 33% · published 4.5
4.34
Lena Arafa
usually #1 Female Singles 100% · published
4.28
Natalia Devore
usually #1 Female Doubles 100% · published 4.5
3.79
Crystal Vo
usually #1 Female Doubles 100% · published 4
Paris Yandall
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.

Michael Cheong + Natalia Devore6260% games+4.5% vs expected
Daniel Armellino + Donny Baugh314 matchesnot enough data
Stefan Bach + Tamra Godfrey123 matchesnot enough data
Michael Cheong + Donny Baugh303 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.

5
Donny Baugh
83W–42L career · 6 lines in 2022
not enough data
5
Daniel Armellino
137W–89L career · 9 lines in 2022
4%94%2%
4.72
5
Stefan Bach
25W–28L career · 3 lines in 2022
32%68%<1%
4.56
4.5
Tamra Godfrey
103W–91L career · 4 lines in 2022
<1%60%40%
4.47
4.5
Michael Cheong
158W–67L career · 6 lines in 2022
<1%68%32%
4.44
Lena Arafa
32W–39L career · 3 lines in 2022
<1%88%11%
4.34
4.5
Natalia Devore
168W–79L career · 3 lines in 2022
1%94%5%
4.28
4
Crystal Vo
27W–47L career · 5 lines in 2022
1%94%5%
3.79
Paris Yandall
5W–4L 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.