Teams

AYTC-Racket Raiders-Milca

2025 Coed 18-39 · 2.5 Coed

6 players · average NTRP 3.25 / NORTHWEST WASHINGTON

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Schedule7 played
2025-02-28vs AYTC-Gupta/SeiSplit 11
L#1 Female DoublesYifan Jiang / Meagan Milca vs Richa Gupta / Laura Schulz3-6
W#1 Male DoublesKurt Nikaitani / Hai Huang vs Andrew Armaneous / Sagar Khasnis6-1
2025-02-08vs FC-BrzovicWon 20
W#1 Male DoublesKurt Nikaitani / Hai Huang vs Alark Choudhary / Yuan Xu6-3
W#2 Mixed DoublesMeagan Milca / Kurt Nikaitani vs Alark Choudhary / Danli Wang6-2
2025-02-08vs WSC-Racket Scientists-UngureanasuSplit 11
W#1 Female SinglesMeagan Milca vs Teodora Lupu6-0
L#1 Male DoublesKurt Nikaitani / Hai Huang vs Timothy Holeski / Michael Kastler5-6
2025-01-31Won 10
W#1 Mixed DoublesMeagan Milca / Kurt Nikaitani vs N/A6-0
2025-01-26vs ETC-Rally Tigers-DayWon 20
W#1 Female SinglesMeagan Milca vs Emily Wiersema6-1
W#1 Male SinglesKurt Nikaitani vs Alexander North6-2
2025-01-18vs BTA-LiWon 10
W#1 Female DoublesMeagan Milca / Carmen Sorto vs Lizzy Feng / Sabrina Lu6-3
2025-01-11vs CAC/SL-Columbia Bagel Club-TulgaWon 20
W#1 Male DoublesKurt Nikaitani / Sheel Shah vs Tuvshin Tulga / Daniel Grundel6-0
W#1 Mixed DoublesKurt Nikaitani / Meagan Milca vs Tuvshin Tulga / Jika Akmatova6-3
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 standings8 teams · 2.5 Coed
TeamWLInd. WInd. LSets lostGames lost
1WSC-Racket Scientists-Ungureanasu07291313127
2AYTC-Racket Raiders-Milca07271515130
3ETC-Rally Tigers-Day07241818159
4BTA-Li07222020174
5CP-Endless Ralliers-Lin-Gong07212121176
6CAC/SL-Columbia Bagel Club-Tulga07182424182
7AYTC-Gupta/Sei07182424191
8FC-Brzovic0783434228

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 2.96 estimated across 2 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.

3.23
Meagan Milca
usually #1 Mixed Doubles 29%, also #1 Female Doubles 29% · published 3.5
2.70
Kurt Nikaitani
usually #1 Male Doubles 67%, also #1 Male Singles 17% · published 3
Enzo Zafra
published
Hai Huang
published
Sheel Shah
published
Yifan Jiang
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.

Meagan Milca + Kurt Nikaitani6165% games+9.1% 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.

3.5
Meagan Milca
48W–18L career · 7 lines in 2025
5%92%3%
3.23
3
Kurt Nikaitani
46W–20L career · 6 lines in 2025
8%90%1%
2.70
Enzo Zafra
0W–5L career · no lines in 2025
not enough data
Hai Huang
6W–9L career · no lines in 2025
not enough data
Sheel Shah
4W–9L career · no lines in 2025
not enough data
Yifan Jiang
2W–13L career · no lines in 2025
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.