Ryan Van Bibber writes about the NFL for SB Nation. In 2006, he founded Turf Show Times, a site dedicated to chronicling the St. Louis Rams regular rebuilding efforts. A Missouri native, he lives there again these days, after spending his formative years in the glorious dry air of the American West.
We’re six games into the 2017 NFL season, and the only thing we really know so far is that consensus is dead. Unlike years past, there are no dominant teams, tossing aside opponents from week to week. There are some obvious tiers of teams, but even among the top tier, the variance in performance is stunning. The upside is that games are better, more competitive, and though it’s still a good six weeks away, we might actually have an exciting playoff race.
There’s a wealth of information out there dissecting every single thing about the NFL and its teams and players for anyone with the time or energy to dig into it. Some of us get paid to do that. Some of us are just obsessive. It’s useful information too, for what it reveals about teams and players. However, you’ll drown pretty quickly in a river of data if you’re trying to drink it up for things like fantasy football lineup decisions or casual betting on the games.
I probably should have left after their 1-15 season. If not then, one year of Jeff Fisher should’ve been enough to give me permission to leave Rams fandom behind for good. A football team is a hard thing to walk away from — a person’s identity is wrapped up in fandom. You’re part of a group of people coming together to celebrate, or commiserate in this case, and you’ve been conditioned into over years. That’s a hard thing to leave behind.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".