Alright, fellow poker enthusiasts, I’ve been experimenting with the Fibonacci sequence for managing my betting strategy in poker, and I thought I’d share how it’s been working out so far. For those unfamiliar, the Fibonacci sequence is a simple mathematical pattern where each number is the sum of the two before it: 1, 1, 2, 3, 5, 8, 13, 21, and so on. I’ve adapted this to calculate bet sizes, particularly in cash games, to balance risk and recovery while keeping my bankroll in check.
The way I apply it is straightforward. I start with a base unit—say, $1 for simplicity—and treat each number in the sequence as a multiplier for that unit. After a loss, I move up the sequence for my next bet. If I win, I drop back two steps. The idea is to recover losses progressively without jumping into reckless all-ins or overbetting my stack. For example, if I lose $1, my next bet is $1 again. Lose that, and it’s $2. Lose again, $3, then $5, and so forth. A win at any point pulls me back—say, I win at $5, I drop to $2 for the next hand.
I’ve been testing this mostly in low-stakes online cash games, like $0.25/$0.50 blinds, over the past month. My sessions usually run about 200 hands, and I’ve tracked results across 10 sessions. The logic here ties into poker’s variance: you’re not going to win every pot, but over time, solid play should tilt the odds in your favor. The Fibonacci approach helps me stay disciplined when I hit a downswing, avoiding the temptation to chase losses with random big bets.
So, the results. Out of those 10 sessions, I ended up positive in 7, flat in 1, and negative in 2. Total profit was around $85, starting with a $50 bankroll per session. The wins weren’t massive—usually $10 to $20 per session—but the losses were contained. The biggest dip was a $15 loss in one session where I hit a brutal run of coolers (KK into AA twice in 50 hands). Even then, stepping up the sequence kept me from blowing the whole stack, and I clawed some back by the end.
What I like about this method is how it forces patience. In poker, especially online, it’s easy to tilt and overcommit after a bad beat. Fibonacci keeps me structured—my bet sizes grow logically, not emotionally. It’s not perfect, though. If you’re in a prolonged losing streak, the numbers climb fast, and at $13 or $21, you’re risking a chunk of your bankroll. That’s where table selection and knowing when to walk away come in. I cap myself at the $13 level (so, 13x my base unit) and reset if I hit that point after a loss.
I’ve also noticed it works better in games with predictable aggression—like tight-passive tables—where I can bluff or value-bet more reliably. Against maniacs who shove every other hand, the sequence struggles because you can’t control the pot size as easily. For tournaments, I haven’t fully adapted it yet; the escalating blinds mess with the pacing, and I’d need to tweak the base unit mid-game, which feels clunky.
Anyway, that’s where I’m at with it. I’m planning to keep tracking this over another 1,000 hands or so and see if the trend holds. Has anyone else tried something similar? Or maybe you’ve got a different system that’s been working? I’m all ears for refining this—poker’s a game of adjustments, after all.
The way I apply it is straightforward. I start with a base unit—say, $1 for simplicity—and treat each number in the sequence as a multiplier for that unit. After a loss, I move up the sequence for my next bet. If I win, I drop back two steps. The idea is to recover losses progressively without jumping into reckless all-ins or overbetting my stack. For example, if I lose $1, my next bet is $1 again. Lose that, and it’s $2. Lose again, $3, then $5, and so forth. A win at any point pulls me back—say, I win at $5, I drop to $2 for the next hand.
I’ve been testing this mostly in low-stakes online cash games, like $0.25/$0.50 blinds, over the past month. My sessions usually run about 200 hands, and I’ve tracked results across 10 sessions. The logic here ties into poker’s variance: you’re not going to win every pot, but over time, solid play should tilt the odds in your favor. The Fibonacci approach helps me stay disciplined when I hit a downswing, avoiding the temptation to chase losses with random big bets.
So, the results. Out of those 10 sessions, I ended up positive in 7, flat in 1, and negative in 2. Total profit was around $85, starting with a $50 bankroll per session. The wins weren’t massive—usually $10 to $20 per session—but the losses were contained. The biggest dip was a $15 loss in one session where I hit a brutal run of coolers (KK into AA twice in 50 hands). Even then, stepping up the sequence kept me from blowing the whole stack, and I clawed some back by the end.
What I like about this method is how it forces patience. In poker, especially online, it’s easy to tilt and overcommit after a bad beat. Fibonacci keeps me structured—my bet sizes grow logically, not emotionally. It’s not perfect, though. If you’re in a prolonged losing streak, the numbers climb fast, and at $13 or $21, you’re risking a chunk of your bankroll. That’s where table selection and knowing when to walk away come in. I cap myself at the $13 level (so, 13x my base unit) and reset if I hit that point after a loss.
I’ve also noticed it works better in games with predictable aggression—like tight-passive tables—where I can bluff or value-bet more reliably. Against maniacs who shove every other hand, the sequence struggles because you can’t control the pot size as easily. For tournaments, I haven’t fully adapted it yet; the escalating blinds mess with the pacing, and I’d need to tweak the base unit mid-game, which feels clunky.
Anyway, that’s where I’m at with it. I’m planning to keep tracking this over another 1,000 hands or so and see if the trend holds. Has anyone else tried something similar? Or maybe you’ve got a different system that’s been working? I’m all ears for refining this—poker’s a game of adjustments, after all.