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Post Info TOPIC: Intensity-IT


Guru

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Intensity-IT


Well I would just like to get a feeling of how bryce and eric calculate the rating for each player. SO i will start with Intensity and just see how it works:
I would also like to know how high intensity helps a player during a game. Or is it possible it could hurt a player with penalties.

From my understanding IT is made from hits? is that correct.

WHat about for goalies. How can you tell?
From the looks of things Kipper should have a lower IT rating than Roloson (who is either the most intense goalie or a freakin snap case).
Kip 82 (Appears to be anything but intense)
Rol 78


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BRHL2 Co-Commish

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Don't use goalies in rating comparisons.  Goalies are rated based on Overall, since no skilled attributes are goalie specific in the FHL.  

I help out with tuning the ratings, but Bryce knows the specifcs that I don't have in front of me.

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"As long as those gnome elite molecules emerge, we certainly can reduce casualties. Their warplanes troops would be nice."



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Sabres wrote:

Well I would just like to get a feeling of how bryce and eric calculate the rating for each player. SO i will start with Intensity and just see how it works:
I would also like to know how high intensity helps a player during a game. Or is it possible it could hurt a player with penalties.

From my understanding IT is made from hits? is that correct.


It is in every FHL league I've ever been in.





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Guru

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Here's my problem with IT. So far in BRHL there have been 58 000 hits, the leader has 272.
In NHL in 2005-06 there were 40 000 hits and the leader had 260.

In NHL: Leader had 0.64% of total hits
In BRHL: Leader had 0.46% of total hits

What does that mean? IT is way too high because there's too many and they are way too close to eachother in this 90-50 scale and it should be more of an 85-25 scale.

This proves the point I had in the other thread that a wider scale is needed, in this case it applies for IT but it also does for other ratings.

You may say who cares about hits but don,t you think that if I have data that proves they are too close for this that it's also likely the case ofr the other ratings? Think about it.



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