Proper use of "Value" column in projections

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avatarrandc70  3/28/2015 4:22 PM

With my league settings, Kershaw is #1 with a 2.11 value, and Trout is #2 at 1.64.  Our draft pool is 338 players deep.  Value turns negative at pick #114.  When measuring replacement value, considering our 23 starters and 6 man bench, I would intuitively think that the end of round 23 (last starter drafted) would have a value of zero.  But that player has a value of -0.59.

I am assuming I am misunderstanding something about how to use "value" here.  How can I use value pre-draft to my best advantage?  Intuitively I want to add 0.59 to everyone's scores so I can compare values accordingly (making the last guy worth 0).  Instead of Kershaw at 2.11 being worth Altuve + Encarnacion, add 0.59 across the board and Kershaw is now worth Wainwright + Puig, a drastic difference. 

I know it's important to pay attention to value as a dropoff indicates a bargain relative to where you are drafting or considering an auction bid, but how else can we use value to our advantage, and how do we do it?  Is everyone below pick 113 in my example adding an average of statistical contributions that are lower than the end of season averages?  Lower than the winner's average?  Perhaps it is one of these things and I just need to view value from the proper perspective.

Hope this makes sense kslight, and TIA for any insights you can provide.


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avatarken_admin  3/28/2015 7:54 PM

The Values shown are calculated separately for pitchers and hitters with a value of 0.00 being the average of your estimated rostered players.  So players below 0.00 are worse than average but still worth owning.

Because of this, you can't simply add Value together to compare players.  For example, someone worth 0.2 is not twice as valuable as someone 0.1 obviously. To compare players, you will need to use the Trade Analyzer.  I agree that it would be nice if the worst rostered player was worth 0.0 because you could then more easily compare players.

This was a little scattered but hopefully helped.  If you need more detail, just let me know.


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avatarrandc70  3/30/2015 6:49 PM

Thank you, it makes perfect sense and I seem to have aimlessly stumbled into the right answer at the end of my question.  It does seem to me, however, if we look at a 0.00 player as average, then two 0.50 hitters are roughly equal to a 1.00 player, because that one player gets you half of the "above average" production as the other two.  That isn't to say the 1.0 has twice as good stats, but if you fill everyone's roster with all average players, the example seems to be legit.

Thanks for taking the time to answer!


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