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#21
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I really wish my post wasn't so long... because it often comes off as negative.
I really did love the list - even if I don't feel it is accurate. A few months ago I actually created a scoring system that gave players values in each category (0-10 value, pretty much). The Base10 number is their actual statistical score. This list actually matches up very closely with Yahoo!s "rank" and so I feel it's quite accurate. It is a good representation of how closely the actual players value get together as you start nearing the 40-50pt players (say the 100-150th best forwards). |
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#22
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Quote:
I am quite skeptical myself about the value of these kind of rankings and I would classify them more as interesting than useful as well. It's not totally out of question they might have some predictive power though so decided to use these leagues as a test of their usefulness. Can't be certain how useful these are without testing them and could be interesting to look at after the season. Last edited by temek; 10-19-2012 at 10:52 AM. |
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#23
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As a thank you (temek) for your work, I've attached my absolute favourite spreadsheet that I made for the DobberEntry league. This shows the top 180F by value-scores based on the 7 categories (we include both PIM & Hits). It's really good. Each player gets a score (pretty much 0-10) based on the AVERAGE statistical count for top top 180F (since 15 teams x 12F) in each category.
For top 180F, average statistics: Goals: 20. (0G = 0pts, 40G = 10pts, 50G = 12.5pts) Assists: 30. (0A = 0pts, 60A = 10pts, 66A = 11pts) +/-: +5. (-25 = 0pts, +5 = 5pts, +35 = 10pts) PIM: 55. (0PIM = 0pts, 110 PIM = 10pts, 220 PIM = 20pts) PPP: 13. (0PPP = 0pts, 25PPP = 10pts, 30PPP = 12pts) SOG: 180. (0SOG = 0pts, 360 SOG = 10pts) Hits: 100. (0 Hits = 0pts, 200 Hits = 10pts, 300 Hits = 15pts!) Some people might think this scoring off/skewed, but there is justification in the summations at the bottom of the columns. There is a top90 set of players, with total scores, and AVG player score per cat. There is a 2nd90 set of players, with total scores, and AVG player score per cat. The AVG player score for the top90 + 2nd90 should come out close to 10.0 (full score). And if each category has the same total AVG score, THEN we know that the categories are all weighted evenly, since a 1st place in GOALS is worth the same as a 1st place in PIM. The most notable thing I found in this spreadsheet is the key category to focus on in the first half of the draft: PPP. The top half of forwards (top90) account for 66% of PPP. (7.0/[7.0+3.6]). It's the greatest skew of stats in a draft. Anybody with experience knows, it is hard-hard-hard to find PPP at the end of a draft. Other statistics can still be found at the end of the draft... and even on the waiver wire right now. I won't get into them for fear of making my DobberEntry opponents too strong... but I do know that Ryan Ma has one of the greatest understandings of this finding. (and in truth, part of this spreadsheet was an inquiry into Ma's draft strategies, which I finally witnessed first hand in the RHRS). Anyways, this is my favourite spreadsheet I've ever made. Enjoy. |
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#24
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Damn all these people analyzing my draft strategy to a T... I'm not going be able to win any more leagues from now on...
__________________
Dobber Expert Pool Champion 2011-12 |
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