Teams

MI-Yetman

2022 Adult 18 & Over · 3.0 Men

2 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 3.37 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.

3.48
Alex Schmidt-Warnecke
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
3.25
Christopher Dickinson
usually #1 Singles 100% · published 3.5
Results5 ties
2022-06-05Won 10
W#2 SinglesAlex Schmidt-Warnecke vs Ryan Hardie6-3, 3-6, 1-0
2022-05-13Lost 01
L#1 SinglesChristopher Dickinson vs Suresh Namala6-2, 3-6, 1-0
2022-04-29Won 20
W#1 SinglesChristopher Dickinson vs Ivan Mi Yu6-2, 6-3
W#2 DoublesAlex Schmidt-Warnecke / Scott Yetman vs Justin Mellish / Matthew Zlateff6-0, 6-3
2022-04-10Won 10
W#1 SinglesChristopher Dickinson vs Dechuan Zhuang6-2, 6-1
2022-04-02Lost 02
L#1 DoublesAlex Schmidt-Warnecke / Adam Ortega vs JAYACHANDRA SAMIREDDY / Sukhandeep Singh6-4, 4-6, 1-0
L#1 SinglesChristopher Dickinson vs Kapil Pruthi7-5, 6-4
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.
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.

3.5
Alex Schmidt-Warnecke
69W–32L career
0%85%15%
3.48
3.5
Christopher Dickinson
68W–51L career
1%99%0%
3.25

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.