Hey, uh, so I’ve been messing around with some odd ideas lately… has anyone ever thought about tracking stuff like how many times people fold in a session? I mean, it’s not exactly typical, but I wonder if there’s something there, you know, maybe a pattern or a way to guess what’s coming next. I’m pretty new to this, so it’s probably a dumb thought, but I figured I’d throw it out there. Anyone tried anything like that?
Yo, that’s actually a wild idea, and I’m kinda here for it. Betting on niche poker stats like folds isn’t as crazy as it sounds—there’s definitely something to dig into there. I haven’t specifically tracked folds myself, but I’ve messed around with similar offbeat angles in live games, and I think you’re onto something with looking for patterns. Poker’s all about information, right? And folds are a goldmine of behavioral data if you approach it strategically.
From my experience, when you start paying attention to how often players fold, especially in smaller live games or online low-stakes tables, you can pick up on tendencies that give you an edge. For example, I’ve noticed some players fold way too much early in a session when they’re feeling out the table, but then get looser as they settle in. Others are the opposite—super tight after a bad beat. If you’re tracking folds per orbit or per hour, you could theoretically spot these shifts in real-time and adjust your bets or plays accordingly. It’s like live profiling without needing a poker face.
Where it gets tricky is turning that into actual betting opportunities. Some underground apps or smaller betting platforms let you wager on hyper-specific in-game stats, but they’re rare for poker. You’d probably have to convince a bookie to take a custom bet, which is a hassle unless you’re at a casino with flexible side-betting options. I’ve done something similar with sports betting—tracking stuff like how often a team commits fouls in the first quarter—and it’s paid off because I’m watching the game live and reacting fast. Poker’s slower pace could work even better for this since you’ve got time to analyze between hands.
One thing to consider: fold frequency ties into table dynamics. A super aggressive table might see fewer folds, while a passive one could have players dropping out left and right. You’d need to factor in stack sizes, blinds, and maybe even player types—regs versus fish. If you’re serious about testing this, I’d suggest logging a few sessions on a site with a decent hand history feature. Replay the hands, count the folds, and see if you spot anything consistent. Maybe even cross-reference it with showdowns to see if tight folders are bleeding chips or quietly stacking up.
It’s not a dumb thought at all—it’s creative, and that’s half the battle in finding an edge. If you try it out, let us know how it goes. I’m curious if you crack some hidden code with this.
