Working in sports analytics: Ben Alamar has the must-read of the week on his website about working in sports analytics. Alamar, a consultant for the Cleveland Cavaliers and many others, broke down a four-step process in how to differentiate yourself in the uber-competitive marketplace. This was amazing work. If you recall, Alamar also wrote a book recently and shared his insight at SportsAnalyticsBlog.

Stats combo: Two of the leading sports analytics firms announced a combined platform project earlier in the week. STATS, Inc., headquartered in Chicago, will be collaborating with Catapult, an Australian group, for the initially basketball-only option. They hope to expand it to other sports soon. Player tracking data galore will be available. Gotta love the collaboration!

On projections: A debate has been emerging over the last week or so about the value of future projections in baseball. Mitchel Lichtman had a two-part series on hitters and pitchers. A main crux? Season-to-date stats don’t mean that much. Preseason predictions are valuable, then they change with all new data and you have in-season projections. Dave Cameron had the highest of praises for Lichtman’s work.

Hockey: Michael Sanserino had a feature on how Pittsburgh sports teams, highlighted by the Penguins, are using analytics to drive business. Jonathan Willis wrote about the New Jersey Devils’ new analytics hire. And Rob Mixer wrote on the Blue Jackets website about how analytics influence their draft-day decisions.

NBA: Kevin Pelton ($) posted the WARP projections for the top NBA Draft prospects. Matt Femrite looked at how much NBA Draft prospects can lose in guaranteed money by falling in the first round. GotBuckets shared an early look at the value of the public SportVU data. Tim Kawakami wrote about his No-Defense team. Justin Willard analyzed how we judge stars and champions in regards to the Finals. And Kirk Goldsberry shared his usually amazing illustrations of the Spurs-Heat series.

Soccer: Michael Caley estimated the worth of corner kicks. Neil Paine wrote about what analytics can teach us about the “beautiful game.” And in case you were curious about the USA’s odds to advance…

MLB: August Fagerstom compiled a table of the best three-season peaks in MLB history (hello, Mike Trout). Jason Turbow went long-form on the “essence of velocity” for SB Nation. Russell Carleton wrote for Fox Sports about how we assign too much credit to momentum. Jesse Wolfersberger had some fascinating data and charts on the exponential nature of offense. Steve Drake responded to Lewie Pollis’ thesis on the estimating the value of front offices. John Hoey continued his introductory series on sabermetrics by looking at Matt Cain’s stats. And Mike Oz listed 19 amazing stats in honor of the legendary Tony Gwynn, who passed away earlier in the week.

NCAAF/NFL: Tomahawk Nation analyzed the data on the best college football programs in the last 30 years. Athlon Sports compiled the top things to know about college football analytics. Steve Palazzolo broke down some great numbers on pass distribution and each NFL quarterback. Chase Stuart wrote about the best and worst passing games in 2013. Chris Burke shared that temp isn’t necessarily the key to efficient offense. And KC Joyner predicted that the Denver Broncos offense could be even better in 2014.

Other notes: Evan Zamir of NBAWowy fame is hosting a sports analytics meetup in San Francisco next Thursday. The Emory Sports Marketing Analytics group shared some fascinating studies on fan behavior in baseball. And Sports-Reference debuted a new ad-free option for its sites.