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As one example, I assume that the ground ball/fly ball ratios of two top level prospect high school pitchers over a period of time might be one of the deciding factors in a decision to draft/sign/scholarship one pitcher over another, most everything else you know about them being equal.
Theoretically I couldn't argue with anything you posted but I feel that this is an "armchair quarterback" line of thinking and not followed throughout the business model. Organizations may point the press in that this is "the direction" but that would defy "scouting secrets" that organizations go to the grave with. I do data collection for a job and these are the problems I see
1. IMO, you cannot collect data on one side unless you have corresponding data from the other. Ex: You watch two pitchers for lets say 4 outings (thats minimal data) and one has a gb/fb ratio 2:1 and the other 4:1. The first things I'm going to ask is can I see the hitting data from those teams they played. And, can I see the stats of other + pitchers who played against them. My bet is those numbers are not available, thus making the stat inconclusive, and from a mathamatic standpoint inconclusive data is worth less than the paper it is printed on.
2. Hs teams play ~20 games a year, you better be living in his back yard to be able to get enough data and if you are there, aren't you missing many other players games because you need data from them also. Or, do we only chart only a few "special players" and leave the rest to "people charting"? The worst thing an area scout can do is let one slip through the net.
3. Are those sitting in the stands charting ab's and pitches "bird dog" scouts or unpaid "wannabes" who are collecting data for the area guy in order for the real scout to get a better feel on the prospect without getting chartboys personal opinion?
What happens if you get data from 1 scout in NC and another from MN and the numbers show the MN guy is way better statistically than the NC guy. How can you weigh those stats. or is this where you throw them out the window, the next question is when do you throw them out the window? Now you have the worst of all worlds...conflicting stats. People can sit down and negotiate ideas, numbers cannot.
Scouting is a non-exact science unless all of your data is coming from a similar source. MLB can do that, there are X number of teams facing each other, with similar talent levels, and after enough data samples are collected intelligent results can be compared.
IMO, At the HS level and even at the college level to a degree the "eye of the beholder" is the best tool and if you start questioning that tool with unfounded numbers you're breaking data collection rules and going into guess mode because of inconclusive data, and inconclusive data leads to bad guesses.