Hi @lolatu2
Yes! that’s correct.
Just to make sure we’re on the same page, the y-axis is what fraction of N policies in that 10-model auction went to your model.
“Of 186 markets” is a description of how many total dots exist in the plot.
Regarding model sampling and plot interpretation 
The model sampling process in each of these markets is based on the evaluation metric. In short, it’s uniformly random in round 1 of the metric and then the top 10% of the leaderboard will be in 90% of markets. However, to mitigate your worries about statistical representativeness, just know that the metric is actually computed analytically.
So how do you interpret this? That is up to you of course, but generally speaking, to me, the plots represent a sign about how much room you may have in increasing or decreasing your prices. If you have a positive profit to market share relationship, that tells me that your margins may be quite generous so that you can still win policies and increase market share with them.
The tables are more representative of what you might get in an insurance company at the end of the year, but with a lot less detail.
Regarding realism 
You’re right that this is not entirely realistic, however, one of the key tasks in establishing market dynamics is to have the market “agree” on a reasonable price and a reasonable margin. These plots are aimed to give you that in-depth market level insights.
Having said that, we are cooking up some more realistic feedback for you very soon 
Hope this clarifies things a bit more 