Bread & Butter - Data Mining Summary
Who wants to play a game of "SMALL SAMPLE SIZE BINGO"???
Since I finished Level II of Core I went back to the beginning to really try and dive deep into the concepts. Since Bread & Butter situations is the topic I've been studying, I did some data mining and spreadsheeting. I went back through my PT4 database (small, about 2500 hands) and pulled out the hands at the table that were B&B. I've summarized the results here.
A few notes:
- I understand this is likely diving deep into a concept that may not require such scrutiny. But I did get a lot of value just watching hands play out and seeing places where I should have considered 3-betting or raising IP to get into B&B.
- I find it interesting that the HJ position has the highest Win%. Small sample size but I wonder if it's because BU and CO are often seen as steals and thus get played back at more than HJ. Thoughts?
- I'm surprised at how frequently the flop is won with a bet. I knew it was high but this is higher than I expected in my head.
- Also find it interesting that flops with 2+ Non-Ace B'way cards are won more frequently. I would think those flops hit callers more frequently resulting in them calling down but I suppose since most B&B is isolating the Blinds, those boards look even scarier.
I'd love any other takeaways, thoughts, questions etc... I also have a sheet with action combos (i.e. Check, Bet, Bet etc.) but there's not a lot of data on any one combo to make any conclusions.