Teams

PL-Tightly Strung-Graham

2019 Adult 40 & Over · 3.5 Men

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

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Scouting

Roster averages 3.12 estimated across 1 rated player. 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.

3.12
Rajesh Gatti
usually #1 Doubles 57%, also #2 Doubles 29% · published 3.5
Results7 ties
2019-03-10Lost 01
L#1 DoublesRobert Blasko / Rajesh Gatti vs Michael Nolan / Nigam Shah2-6, 7-6, 1-0
2019-03-02Won 10
W#1 DoublesRobert Blasko / Rajesh Gatti vs Terry Lundeen / Chris Nelson6-4, 6-4
2019-02-22Lost 01
L#1 DoublesRajesh Gatti / Mohan Varthakavi vs Edward Hocker / Doni Wanat3-6, 6-4, 1-0
2019-01-26Won 10
W#2 DoublesMohan Varthakavi / Rajesh Gatti vs Puru Masuli / Raman Batish6-3, 6-7, 1-0
2019-01-18Lost 01
L#1 SinglesRajesh Gatti vs Brian Flynn6-3, 6-2
2019-01-12Lost 01
L#1 DoublesRobert Blasko / Rajesh Gatti vs Tony Shaheen / Sat Mohan7-5, 4-6, 1-0
2019-01-06Lost 01
L#2 DoublesRajesh Gatti / David Graham vs Robert Sidbury / Douglas Pearson6-7, 7-6, 1-0
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
Rajesh Gatti
74W–71L career
9%91%0%
3.12

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.