On the statistics page, there are stats for (i) total number of hands played, (ii) total number of hands folded, and (iii) total number of flops seen. Is there a mathematical formula for calculating the % of hands folded before the flop based on these stats?
hands played - flops seen = flops not seen…
Flops not seen / hands played * 100 = % folded before flop
What about hands won pre-flop by getting everyone else to fold? I think that’s the piece of the puzzle we’re missing.
On this site, that number may be statistically insignificant
So true… however, while it’s rare, it does happen… typically with pre-flop shoves and especially during certain parts of tournaments. I’d say depending on your frequency of performing those activities you can knock about 5% off the flops not seen number and call it good.
I think if you call the big blind or raise preflop, it counts as playing the hand, or should, even if you may fold before the flop to a raise behind you, or a 3-bet. “Flops seen” should be literally flops seen while still in the hand.
Thank you. Apparently, I forgot to switch my brain to the “on position” this morning. I took a few stats courses in grad school, but those were social stats (e.g., regression analysis) and I was never a keen mathematics student.
My preflop fold % turns out to be a lot lower than I expected, especially since it is far lower than the overall fold rate posted on the stats page. I am not sure what to make of that.
Playing a lot of heads-up? Playing too loose of a range? Too much limp bingo?
I suppose if you’re playing at stakes below what you can reasonably play with your bankroll, you’re probably fine. Maybe tighten up a bit if you’re playing at higher stakes and losing?
Best I can come up with using the limited data.
Yes, during my first year on replay, I was playing too much “limp bingo” poker, which reflected my ignorance of the game. This is reflected in my low overall preflop fold %, and I expect that my preflop fold % over the past 5-6 months (when I started to learn basic poker concepts, particularly the value of position and corresponding ranges) would be a lot higher. The key problem with all that limping is that is it translated into a high fold % after the flop. The interesting part of figuring out my preflop fold % is that it allowed me to understand how much (and why) I was folding after the flop.