THAY: LAND OF THE RED WIZARDS, A Forgotten Realms resource book by Ed Greenwood & Alex Kammer

Statistics: CC1: Creature Compendium

Core Game Ratings

Rating: 5.47 / Ranking: 3527

These ratings are based on 1 ratings with 4.00 average weight and 1 reviews.

This is compared to an index-wide 3.64 average ratings and 1.98 average weight.

This rating earns a low level of trust because of its low level of input.

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Core Game Comments

All User Comments

Rating User Comments
2 / 10SleeperA fully-illustrated monster book with all new monsters? That sounds very impressive, but my eyes keep glazing over as I read it. The art is poor, the writing is poor and often unclear, and the monsters are terribly dull, or random incoherent mishmashes with no motivations or justifications. Even the ones borrowed from real world myths and legends are given no context, so they just come across as meaningless and bizarre.

And using two stat blocks (B/X and AD&D) doesn't work. The information is heavily redundant, and repeating it twice makes it surprisingly hard to pick out the differences. Plus, the use of two columns makes the two stat blocks kind of blend together.

Core Game Reviews

All RPGnet Reviews

[ Link Reviews ]
Rating User Summary
4 + 5EndzeitgeistCC1: Creature Compendium. Massive, well-crafted old-school bestiary - for PWYW! Seriously worth checking out!

Ratings Explanation

The following components make up a rating:

Ratings. The ratings that users enter into this index are each averaged into the final rating with a weight of between 0 and 4, with weight based on trust algorithms.

Reviews. Each review is averaged into the final rating with a weight of 8. Sometimes reviews can skew high, but they also display fan interest (or disdain) in a product.

Content. The average rating of each content--before its own bayesian weight is inserted--is averaged into the final rating. The weight of a content is equal to its own weight divided by the number of contents, and divided again if it only appears in a fraction of editions.

Bayesian Weight. A rating of 5.00 is inserted into the final rating with a weight of 35. This is an arbitrary weighting of the average rating that keeps things toward the center until they're better rated.

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