After my gold trophy run, I tasted the sweet flavor of gambling, so my betting style is probably a bit riskier than what it once was (no more totally YOLO though). I'll continue including the safe bet section. If the number of the neofoodclub string is different than the number of the round I write after the date, then bets are for the new round but I forgot to update the date in the commentary! Yesterday's results: Tanked, I hoped in other upsets (was kinda expecting a 13:1, but Blackbeard came really out of the blue). Today's bets (Sunday, 9718) : 10-betting on Gooblah, and on Fran (Stuff is tantalizing, but we already had a bonkers upset yesterday). Lame bets with every non-13 else bar Blackbeard (the aforementioned bonkers upset). Safe set: A safety for Ned, the rest for Gooblah. Adding everyone in Lagoon, then in Island; boosting with non-13s in Shipwreck. Neofoodclub string : /#round=9718&b=diarpdsapqddkpsddyppsdbpp Safe set string : /#round=9718&b=aeafpcdaupd...
Here I do a recap of my sets' historical performances, as well as those of a couple other popular bettors. I use my statistical models, as well as the actual closing odds of the pirates every day, in order to simulate every day's results 1 million times, and see how each different strategy performs in the long term in all those simulations. The advantage of this simulation over simply tracking ROIs is that it shows us not only how much each strategy outperformed or underperformed expectations, but also exactly how much luck was involved, and to what degree that luck impacted the performance. For each strategy/bettor, I illustrate the results in three different ways. After all the individual strategy visualizations, I also do some distribution comparisons between similar strategies. Check here for instructions on how to read the data. To be clear, we only know all of these numbers in retrospect. It is therefore not correct to assume that if you follow any of my sets or ...