Teams

AYTC-Maki

2023 Coed 18-39 · 4.5 Coed

10 players · average NTRP 4.40 / NORTHWEST WASHINGTON

View scouting list →
Schedule7 played
2023-02-25vs HBSQ-DalkinLost 01
L#2 Mixed DoublesYutaro Maki / Anjali Nagaraj vs Hiromichi Yamamoto / Erin Huffman2-6
2023-02-11vs AYTC-KMH-HowardLost 02
L#1 Female DoublesHannah Jordt / Liz Perlman vs Kim Hood / Katie Lai0-6
L#1 Female SinglesLiz Perlman vs Katie Lai1-6
2023-02-03vs HBSQ-DalkinWon 10
W#1 Female SinglesAixa Moreno vs Erin Huffman6-0
2023-01-29Won 10
W#1 Female SinglesLiz Perlman vs Courtnay Nguyen6-5
2023-01-20vs WSC-VaronWon 10
W#1 Female SinglesAixa Moreno vs Lauren Joung6-2
2023-01-13vs WSC-VaronLost 01
L#1 Female SinglesAixa Moreno vs Liza Skorupski5-6
2023-01-08vs AYTC-KMH-HowardWon 10
W#1 Female SinglesAixa Moreno vs Khaliun Enkhjargal6-2
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 standings12 teams · 4.5 Coed
TeamWLInd. WInd. LSets lostGames lost
1AYTC-KMH-Howard08361212157
2NTC-Stalker08341414160
3AYTC-Shapira08321616164
4AYTC-Nguyen08311717178
5WSC-Varon08301818182
6HBSQ-Dalkin08291919182
7BETC-Wampa Stompas-DeVore08291919195
8AYTC-Higashi08212727203
9AYTC-TieuTieuTrain08183030224
10AYTC-Maki08133535242
11CP-McRoberts08113737240
12FC-Lost in the Sauce-Tran0844444275

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 4.08 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.

4.32
Alex Zhou
published 4.5
4.31
Silas Setterstrom
published
4.20
Alejandro Oropeza
published 4.5
4.17
Aixa Moreno
usually #1 Female Singles 100% · published 4.5
4.15
Liz Perlman
usually #1 Female Singles 100% · published 4.5
3.71
Yutaro Maki
usually #2 Mixed Doubles 100% · published 4
3.66
Hannah Jordt
usually #1 Female Doubles 100% · published
Jackson Cook
published
Jason Jin
published
Paige Newman
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.

Yutaro Maki + Aixa Moreno12367% games+9.4% vs expected
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.

4.5
Alex Zhou
25W–6L career · no lines in 2023
1%89%10%
4.32
Silas Setterstrom
6W–11L career · no lines in 2023
1%90%9%
4.31
4.5
Alejandro Oropeza
7W–7L career · no lines in 2023
7%91%2%
4.20
4.5
Aixa Moreno
41W–11L career · 4 lines in 2023
11%88%1%
4.17
4.5
Liz Perlman
18W–13L career · 2 lines in 2023
14%85%1%
4.15
4
Yutaro Maki
92W–33L career · 1 line in 2023
6%92%2%
3.71
Hannah Jordt
13W–24L career · 1 line in 2023
12%87%1%
3.66
Jackson Cook
19W–7L career · no lines in 2023
not enough data
Jason Jin
1W–1L career · no lines in 2023
not enough data
Paige Newman
4W–3L career · no lines in 2023
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.