{"id":20344,"date":"2017-01-25T06:54:35","date_gmt":"2017-01-25T06:54:35","guid":{"rendered":"http:\/\/www.biphoo.com\/bipnews\/?p=20344"},"modified":"2017-01-25T06:54:35","modified_gmt":"2017-01-25T06:54:35","slug":"analytical-approach-inexact-science-recruiting","status":"publish","type":"post","link":"https:\/\/www.biphoo.com\/bipnews\/sports\/analytical-approach-inexact-science-recruiting.html","title":{"rendered":"An analytical approach to the inexact science of recruiting"},"content":{"rendered":"
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An analytical approach to the inexact science of recruiting<\/span><\/strong><\/span><\/h2>\n

A blog post Ben Weiss wrote for a Northwestern fan site made its way to the desk of athletics director Jim Phillips, who then forwarded the link to Chris Bowers, the Wildcats\u2019 director of football player personnel.<\/span><\/p>\n

Inside Weiss\u2019 article was a breakdown of Northwestern football\u2019s recent recruiting efforts \u2013\u2014 a deep dive into the Wildcats\u2019 hits and misses, and so detailed in its methodology that Bowers called Weiss into his office and offered him a position.<\/span><\/p>\n

It was unpaid, sure, but that was to be expected: Weiss was then just a freshman undergraduate, albeit one with a strange fascination \u2014 and a longstanding one, dating to his early years in high school \u2014 with the recruiting landscape.<\/span><\/p>\n

Three years later, with just months until his graduation date, Weiss no longer works in Northwestern\u2019s recruiting office, technically speaking. He does, however, maintain a close bond with the Wildcats\u2019 program, thanks to a company he co-created with three fellow Northwestern students that attempts to take an analytical approach to college football\u2019s most inexact science: recruiting.<\/span><\/p>\n

\u201cSchools are looking, naturally, for the best players in the country that are somewhat likely to commit to their school,\u201d Weiss said. \u201cSo what we\u2019re saying is, \u2018Look, you\u2019re essentially trying to do this in your head.\u2019 We have proof that this can work and this is how we do it, and this is what we do.\u201d<\/span><\/p>\n

One of the recent sea changes in college football has been the growing acceptance of in-game analytics as a coaching tool, as more and more coaches embrace percentage-based metrics to aid in the decision-making process.<\/span><\/p>\n

\u201cThe more advanced studies you can do to prepare for a test \u2014 and that\u2019s what a game is, it\u2019s a test \u2014 I think it\u2019s beneficial,\u201d said Old Dominion coach Bobby Wilder, a proponent of leaning on analytic tools to help decide whether to punt or attempt a fourth-down conversion, for example.<\/span><\/p>\n

The company founded by the four Northwestern undergraduates, called Zcruit, essentially borrows that same mentality, one of putting numbers behind what have long been gut-based decisions, and applies it to the recruiting landscape.<\/span><\/p>\n

Think of this way: Every program in the Football Bowl Subdivision is chasing after the same pool of recruits; most programs recruit the same region as countless others; some programs offer hundreds of recruits to sign just 25 future student-athletes.<\/span><\/p>\n

Boiled down, Zcruit\u2019s goal is to assist a program\u2019s efforts by streamlining the process \u2014 by taking all the streams of data at their disposal and creating a formula for recruiting success, in the same way a university\u2019s admissions office attempts to pinpoint the best and most likely fits for the student body at large.<\/span><\/p>\n

Three baseline factors are taken into account. The first is demographic information: background information, such as where a recruit is from. The second is a prospect\u2019s interactions with the school, such as how many visits he has made on campus, whether he attended any camps or when the scholarship offer was tendered.<\/span><\/p>\n

The third is the prospect\u2019s interactions with other schools. Is he showing any interest? When was he offered by another school, when did he visit, how many times did he visit? In the end, the data compiled by Zcruit creates a threshold, for lack of a better word, between whether a program should recruit a player \u2014 if the data suggests he\u2019s gettable \u2014 or whether it should move on to another prospect.<\/span><\/p>\n

\u201cThe reality is, there isn\u2019t anything in the world that gave you that data,\u201d Bowers said. \u201cLike, Ben literally created something that doesn\u2019t exist. It\u2019s fascinating.\u201d<\/span><\/p>\n

Added Weiss, \u201cWe\u2019re in uncharted territory. There\u2019s nobody else doing what we\u2019re doing.\u201d<\/span><\/p>\n

More than anything, the model created by Zcruit may see its greatest impact in how a program allocates time \u2014 a precious resource throughout the year, but during the recruiting process in particular.<\/span><\/p>\n

By and large, FBS programs land roughly 10% of the student-athletes they recruit. \u201cMost of that time is wasted chasing the wrong guys,\u201d Weiss said. It can be a cruel cycle: A program misses on one group of players before chasing its second tier of prospects, many of whom have already been offered by a number of recruiting rivals.<\/span><\/p>\n

Many programs simply provide a blanket of offers, extending scholarships to upwards of 25 players at a single position in hopes of landing just two or three on signing day. Instead, if a program was able to offer just six or seven prospects \u2014 and know that each one is gettable \u2014 it would allow for more time to devote to a single recruit; every second counts, especially when going head-to-head for a prospect\u2019s signature.<\/span><\/p>\n

\u201cIt would be one more thing that can help with time management,\u201d Wilder said.<\/span><\/p>\n

The proof of effectiveness is seen in Northwestern\u2019s own recruiting efforts. (Zcruit also worked with two other FBS programs, one in a Power Five conference and the other on the Group of Five ranks.)<\/span><\/p>\n

Zcruit worked alongside Bowers and the coaching staff during this current recruiting cycle, helping the Wildcats identify and evaluate a number of recruits at positions of need. With one week until national signing day, the algorithms created by Zcruit have predicated which recruits would not sign with Northwestern with 94% accuracy; the same algorithms predicted which recruits would sign with the Wildcats with 80% accuracy.<\/span><\/p>\n

\u201cWe became the guinea pig,\u201d Bowers said. \u201cThere are going to be people who are resistant, as in anything. But there are people who are open-minded and think differently and want every advantage there can be.\u201d<\/span><\/p>\n

But this is a copycat sport: As programs become open to the idea of on-field analytics \u2014 even as many coaches have shown an unwillingness to adapt to the changing tide \u2014 it\u2019s almost inevitable that a similar mentality will pervade how teams attack their off-field responsibilities.<\/span><\/p>\n

After all, an entire regular season is simply composed of a dozen 60-minute chunks. In comparison, exponentially more time is spent recruiting, from the period of early evaluation \u2014 when teams create their general board of prospects \u2014 through the final home stretch into signing day. So an analytical approach wouldn\u2019t simply help programs sign specific recruits; it would streamline the entire operation, allowing coaches to not just save time but spend their time effectively.<\/span><\/p>\n

\u201cThe marketing world has known about this a long time, the advertising world has known about this,\u201d Bowers said. \u201cIt\u2019s just about applying that into a different space, a different concept.\u201d<\/span><\/p>\n

Source:-\u00a0http:\/\/www.usatoday.com\/story\/sports\/ncaaf\/2017\/01\/23\/analytical-approach-inexact-science-recruiting\/96963326\/<\/span><\/div>\n

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