These are results from the Statistical "Which Character" Personality Quiz.
The best match between the self assessment you provided and the profile of a fictional character as rated by other people who have taken this survey is the character .
Your traits versus their traits are graphed below (click on points for labels).
The thing everyone asks about this test is, 'is it accurate?'. Which is hard to answer. The statistical profiles of the characters are very reliable, because more than 2 million people have volunteered to provide ratings. But the degree with which it is valid to compare an individual's self-reports to these ratings as if they are symmetrical is not clear.
In general, I do not think that question has a well defined scientific answer, because fictional characters are not real and so how they are is only subjective interpretation. But there is a weaker question that we can try to answer: does this test predict how much people will say certain characters are like them? And it seems this test does an okay job at this.
In one version of the optional supplemental survey that is attached, subjects were asked to rate characters from universes they knew on how similar they thought each character was to them on a six point scale from 1=Extremely dissimilar to 6=Extremely similar. This data was collected to select which questions out of the 268 in the database to include in the quiz and can also be used evaluate how well the quiz performs overall. The graph below shows how matching scores on the current recommended version of the quiz (v2.11) correspond to self rated similarity.
You can see there is a relationship. People thought the characters that they matched with at the 10% level were all extremely different, and characters they matched with at the 90% level were mostly some shade of similar. It's not as strong as we might like though, even at the highest match scores (90%+) only 15% of people agreed that that character was "extremely similar" to them.
The exhaustive version of this test with more questions does better, but not by a very significant amount. The basic problem is that self-reports are unreliable, the peer-report version of this quiz addresses this.