Teams

AYTC-Team Brexit-L. Miller

2022 Coed 18-39 · 4.0 Coed

8 players · average NTRP 4.07 / NORTHWEST WASHINGTON

View scouting list →
Schedule8 played
2022-03-07vs FC-Ace Hardware-PhamLost 12
W#1 Female DoublesBritt Allen / Alicia Miller vs Thuong Pham / Milan Mar6-2
L#1 Male DoublesKevin Jacobson / Stephen Han vs Jacob Mann / Christoph Schmidt-Warnecke5-6
L#1 Male SinglesStephen Han vs Christoph Schmidt-Warnecke0-6
W#1 Female DoublesLexie Miller / Britt Allen vs Nicole Ung / Jasmine Palaganas6-3
L#1 Male DoublesStephen Han / Tyler Gardner vs Brandon Nakata / Darren Ma4-6
L#1 Male SinglesTyler Gardner vs Nicholas Verghese4-6
W#2 Mixed DoublesAlicia Miller / Tyler Gardner vs Brandon Nakata / Jasmine Palaganas4-3
2022-02-27vs BTA-Team Fierce-B. MillerWon 30
W#1 Female DoublesLexie Miller / Alicia Miller vs Caitlin Doucette / Sarah Haase6-5
W#1 Male DoublesTyler Gardner / Kevin Jacobson vs Djelli Berisha / Adam Myers6-3
W#1 Male SinglesKevin Jacobson vs Djelli Berisha6-4
2022-02-12vs NTC-AuriemmaWon 31
W#1 Female DoublesBritt Allen / Lexie Miller vs Annelise Sullivan / Lauren MacHarg6-1
W#1 Female SinglesAlicia Miller vs Lauren MacHarg6-2
W#1 Male DoublesKevin Jacobson / Thomas Chippendale vs Spenser Phelan / Suraj Devasthali6-4
L#1 Male SinglesThomas Chippendale vs Anthony Auriemma1-6
2022-01-28vs FC-Tennis junkies-LlacunaSplit 22
W#1 Female DoublesBritt Allen / Alicia Miller vs Courtnay Nguyen / Alana Llacuna6-4
L#1 Male DoublesTyler Gardner / Kevin Jacobson vs Martin Krimmel / Bryant Pham1-6
W#1 Male SinglesKevin Jacobson vs Martin Krimmel6-5
L#2 Mixed DoublesLexie Miller / Tyler Gardner vs Quynh Tran / Martin Krimmel2-6
2022-01-22vs AYTC-MoiseLost 02
L#1 Female DoublesBritt Allen / Lexie Miller vs Andreana Campbell / Ashley Moise4-6
L#1 Male SinglesTyler Gardner vs Lakhmeet Singh Ghai5-6
2022-01-15vs AYTC-Yeet This Wheat-VichWon 21
W#1 Female DoublesKelsey Monson Dillon / Lexie Miller vs Vicky Pan / Karla Franco6-4
W#1 Male DoublesGeorge Meagher / Kevin Jacobson vs Adam Casey / Ashkon Niroomand6-3
L#1 Male SinglesTyler Gardner vs Ashkon Niroomand3-6
2022-01-07vs AYTC-The Bench-KwongWon 21
L#1 Female DoublesAlicia Miller / Kelsey Monson Dillon vs Ruchita Shetty / Madeline Lu3-6
W#1 Male DoublesStephen Han / Kevin Jacobson vs Ryan Chan / Michael Kwong6-2
W#1 Male SinglesKevin Jacobson vs Ryan Chan6-3
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 standings9 teams · 4.0 Coed
TeamWLInd. WInd. LSets lostGames lost
1AYTC-Moise08351313144
2BTA-Team Fierce-B. Miller08321616147
3FC-Ace Hardware-Pham08291919185
4FC-Tennis junkies-Llacuna08282020202
5AYTC-Team Brexit-L. Miller08272121203
6NTC-Auriemma08192929222
7WSC-Tennis Racket Bracket Breakers-Verghese08232535274
8AYTC-The Bench-Kwong08123640272
9AYTC-Yeet This Wheat-Vich08113741276

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 3.64 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.

4.00
Tyler Gardner
usually #1 Male Singles 60%, also #1 Male Doubles 40% · published 4
3.95
Kevin Jacobson
usually #1 Male Singles 50%, also #1 Male Doubles 50% · published 4
3.90
Thomas Chippendale
usually #1 Male Singles 100% · published 4
3.77
Lexie Miller
usually #1 Female Doubles 83%, also #2 Mixed Doubles 17% · published 4
Britt Allen
published 4
3.61
Stephen Han
usually #1 Male Doubles 67%, also #1 Male Singles 33% · published 4
3.45
2.78
Alicia Miller
usually #1 Female Doubles 67%, also #1 Female Singles 17% · published 4.5
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.

Stephen Han + Lexie Miller6261% games+21.4% vs expected
Lexie Miller + Tyler Gardner12556% games+6.0% vs expected
Kevin Jacobson + Tyler Gardner5352% games+5.3% vs expected
Kevin Jacobson + Lexie Miller4149% games+4.7% vs expected
Kevin Jacobson + Alicia Miller6256% gamesnot enough data
Kelsey Monson Dillon + Thomas Chippendale4354% gamesnot enough data
Kevin Jacobson + Stephen Han2352% gamesnot enough data
Stephen Han + Tyler Gardner2349% gamesnot 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
Tyler Gardner
128W–58L career · 5 lines in 2022
<1%49%51%
4.00
4
Kevin Jacobson
95W–36L career · 6 lines in 2022
<1%64%36%
3.95
4
Thomas Chippendale
78W–32L career · 1 line in 2022
<1%79%21%
3.90
4
Lexie Miller
92W–82L career · 6 lines in 2022
2%94%4%
3.77
4
Britt Allen
25W–15L career · no lines in 2022
not enough data
4
Stephen Han
68W–50L career · 3 lines in 2022
20%80%<1%
3.61
Kelsey Monson Dillon
16W–19L career · no lines in 2022
65%35%<1%
3.45
4.5
Alicia Miller
74W–57L career · 6 lines in 2022
100%0%0%
2.78

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.