I think Ludum Dare community prefers complete, casual and short over deep, rich content or incomplete. I always thought people liked amount of detail and content in games but I think I might be wrong after seeing these results. The games that I thought ‘hah so easy and short’ get the higher places in every category. Some games that I was sure of being in top ten are still there somewhere in top 100 though. I don’t know what to think about, I really don’t like casual mobile games
Still I understand there is a big percentage of casual gamers in our community as well as in general community of gaming. I’d just like to see people who want to spend more time on playing and understanding a game instead of quitting it after a minute when they cannot manage to get a grab on game mechanics or without seeing over 80% of content.
I think we sometimes exaggerate the convenience for player to play and let it get in front of anything else. We sometimes even ignore challenge or content.
Was hoping for it last time already (was #76 in the end), but got it now. 22nd place in graphics. Thats cool.
The rest of the numbers are pretty average to bad. None of my three entries so far have managed to get over an average of 3.0 in the Fun-category. Hm.
Its alright though, not complaining at all. I am not one to fixate on these ratings, or give them too great significance. Disagreeing with your own ratings is easy anyway, disagreeing with ratings on other games probably a bit rarer, even though we will all find games we liked underrated and games we found lacking on the top of some lists. No, the essence of a LD is what you take away from it:
I loved that i managed to pull off my Low-Poly artstyle again. I love that style and plan to continue using it.
I loved that i was able to come up with a concept for a puzzler that actually worked out well. I always love encountering well made puzzlers in LD, they can often represent that brilliant idea people sometimes have in game jams better than any other genre. My concept had one or two minor flaws, but overall i pulled off exactly what i had in my head, and it played just as it played in my head. Thats great.
And when talking about puzzlers, Jeru’s Tower was my favorite puzzler of this LD, and it ranked #19 Overall. Loved that one. You can give it a play if you are not tired of LD-games at this point.
Lastly, i hope i will be able to catch the december-LD this year, but that is always a hectic time of the year, isn’t it?
However it will be, there definitely will be a next time.
Here’s my predictions for the LD30 top 10th percentile, as part of my ongoing pet project to use machine learning to predict ratings from comments (first post, code). These entries are predicted to be in the top 10th percentile based on Overall score, using only words in the comments (adjectives and adverbs) that were predicted using K-nearest neighbour classification based on a model trained with LD15-LD28 comments and scores. I’ve split them up into compo and jam, but the underlying model is trained on all comments combined (which may or may not be a good idea). Here we go:
Some of you may remember during LD29 I had a crack at predicting some of the highest rated entries using machine learning. Specifically, I dumped out a list of entries predicted to be in the top 10th percentile based on Overall score, using only words in the comments (adjectives and adverbs) that were predicted using K-nearest neighbour classification based on a model trained with LD15-LD28 comments and scores. Phew. Deep breath.. I never did the followup post to look at just how many I got correct.
It turned out in my rush to do something before judging ended last time, I’d made some errors when training the model (mostly to do with dealing with Overall(Jam) vs. Overall scores and unrated entries). Embarrassing, but hey, it’s a work in progress, Caveat emptor :). As a result, this list is different to the original one I posted (with some overlap) .. however since ratings were available, I could see which of the predictions were actually correct: