2018 NFL draft quarterbacks analyzed with machine learning

We have analyzed the 2018 NFL draft quarterback prospects with our machine learning system. Our machine learning system predicts the probability that a draft pick will become a franchise Quarterback in the NFL. We have analyzed the last 20 years of Super Bowl winning quarterbacks and use this data applying machine learning to predict the probability of the 2018 draft quarterback prospects will be franchise quarterbacks and classifies them as a yes draft and a no draft and the probability they fit on that list. Machine Learning NFL quarterback system Here is the list…

QB data read successfully!

name predict prob
2 Mayfield-Baker [YES] 0.999965
3 Falk-Luke [YES] 0.999244
4 Rudolph-Mason [YES] 0.993547
1 Darnold-Sam [YES] 0.954596

name predict prob
6 Lee-Tanner [NO] 0.996788
2 Allen-Josh [NO] 0.932838
3 Jackson-Lamar [NO] 0.836334
1 Rosen-Josh [NO] 0.632428
4 Litton-Chase [NO] 0.548834
5 Benke-Kurt [NO] 0.541672

Interesting Todd McShay and Mel Kiper are really high on Josh Rosen and also think Josh Allen should go maybe in the first round, but our system would not recommend them to be drafted.

Here is Mel Kiper’s top 10 QBs…

1. Josh Rosen, UCLA
2. Sam Darnold, USC
3. Josh Allen, Wyoming
4. Baker Mayfield, Oklahoma
5. Drew Lock, Missouri
6. Mason Rudolph, Oklahoma State
7. Lamar Jackson, Louisville
8. Mike White, Western Kentucky
9. Luke Falk, Washington State
10. Kurt Benkert, Virginia

Of Kiper’s top 3 our system would not draft 2 and of his top ten, our system would not draft 4 of the 10 – we have not analyzed Lock or White so 4 of the 8 meaning 50% of his top 8 picks would be avoided by our system. see the list

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