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MC-Legion of Doom-Rust

2019 Adult 18 & Over · 3.0 Men

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

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Scouting

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.

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Hazara Panesar
usually #2 Singles 64%, also #1 Singles 18% · published 3.5
Results11 ties
2019-06-15Lost 0–1
L#1 SinglesHazara Panesar vs Dwight Sanders6-4, 6-4
2019-06-09Lost 0–1
L#2 SinglesHazara Panesar vs Tyson Harper1-6, 6-3, 1-0
2019-05-19Won 1–0
W#2 SinglesHazara Panesar vs Manuel Moises4-6, 6-1, 1-0
2019-05-11Won 1–0
W#2 SinglesHazara Panesar vs Syam Pinnaka6-1, 6-1
2019-05-04Won 1–0
W#2 SinglesHazara Panesar vs Xin Che6-3, 6-3
2019-04-27Won 1–0
W#2 SinglesHazara Panesar vs Evan Lerer6-4, 6-0
2019-04-12Won 1–0
W#2 DoublesHazara Panesar / Jeffrey Hill vs Tom Dillard / Gary Ocher4-6, 6-4, 1-0
2019-04-07Lost 0–1
L#2 SinglesHazara Panesar vs Constantin Dulu1-6, 6-0, 1-0
2019-03-31Won 1–0
W#2 SinglesHazara Panesar vs Zach Vall-Spinosa6-2, 6-1
2019-03-23Won 1–0
W#1 SinglesHazara Panesar vs Wynn Eggers6-1, 5-7, 1-0
2018-12-07Won 1–0
W#3 DoublesHazara Panesar / Ashley Jay vs Carmen Zlateff / Rajesh Singh6-1, 6-3
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.
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
Hazara Panesar
40W–26L career
not enough data
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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.