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How to pair the brilliant minds of GT students with GT Football = Better Results/Edge
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<blockquote data-quote="JacketOff" data-source="post: 862553" data-attributes="member: 4572"><p>The problem with this concept is I’m not sure it’s even possible in football, especially at the college level. Analytic based game plans and team building works exponentially better at the pro level because there is way more parity between teams. The worst MLB, NFL, NBA, NHL, etc. players compared to the best are still insanely closer in relative talent and skill levels than college players are. If the teams in the NFL haven’t figured out some “moneyball” system based primarily on analytics, it would basically be impossible for a college level team to do it. Especially one that’s in the mid tier in terms of talent level. </p><p></p><p>Analytics in MLB have lead to the 3 true outcomes (home runs, walks, strikeouts) to be the most prominent result of at bats. So power hitters and guys who get on base any way possible are the most sought after players. The NBA has all but eliminated the mid range jumper and most points come from behind the 3 point line or in the paint. Having a 4 and 5 that can shoot threes is insanely valuable, as are guards who can penetrate and score in the paint. </p><p></p><p>The NFL’s biggest analytic adjustments have been spreading the field and having mobile QBs. The reemergence of the tight end position within the last decade as well because of the mismatch potential it can cause. </p><p></p><p>The thing with all of those analytic based teams though, is that you have to have the players who are able to do what your analytics suggest are most valuable. In baseball you can’t have a lineup of 9 slap hitters and expect to win with home runs. In basketball you can’t have a guard who can’t shoot 3’s and run the offense through him (Ben Simmons). In the NFL you can’t line up a below average TE out wide and expect him to beat a safety downfield. </p><p></p><p>Analytics are important, but building your team around what the analytics say is even more important. I’m hoping the TE from Syracuse who can run, Sims developing into a more consistent passer, and utilizing Sims’ running abilities this year will be some big analytic adjustments from the new faces on staff. I’m not as familiar with the defensive side of the ball, so I don’t know what can be done there as far as analytics go. But surely it can be better.</p></blockquote><p></p>
[QUOTE="JacketOff, post: 862553, member: 4572"] The problem with this concept is I’m not sure it’s even possible in football, especially at the college level. Analytic based game plans and team building works exponentially better at the pro level because there is way more parity between teams. The worst MLB, NFL, NBA, NHL, etc. players compared to the best are still insanely closer in relative talent and skill levels than college players are. If the teams in the NFL haven’t figured out some “moneyball” system based primarily on analytics, it would basically be impossible for a college level team to do it. Especially one that’s in the mid tier in terms of talent level. Analytics in MLB have lead to the 3 true outcomes (home runs, walks, strikeouts) to be the most prominent result of at bats. So power hitters and guys who get on base any way possible are the most sought after players. The NBA has all but eliminated the mid range jumper and most points come from behind the 3 point line or in the paint. Having a 4 and 5 that can shoot threes is insanely valuable, as are guards who can penetrate and score in the paint. The NFL’s biggest analytic adjustments have been spreading the field and having mobile QBs. The reemergence of the tight end position within the last decade as well because of the mismatch potential it can cause. The thing with all of those analytic based teams though, is that you have to have the players who are able to do what your analytics suggest are most valuable. In baseball you can’t have a lineup of 9 slap hitters and expect to win with home runs. In basketball you can’t have a guard who can’t shoot 3’s and run the offense through him (Ben Simmons). In the NFL you can’t line up a below average TE out wide and expect him to beat a safety downfield. Analytics are important, but building your team around what the analytics say is even more important. I’m hoping the TE from Syracuse who can run, Sims developing into a more consistent passer, and utilizing Sims’ running abilities this year will be some big analytic adjustments from the new faces on staff. I’m not as familiar with the defensive side of the ball, so I don’t know what can be done there as far as analytics go. But surely it can be better. [/QUOTE]
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