Hey all, thought I’d drop in and share some numbers from my latest experiment. I’ve been testing a progressive betting system on hockey matches for the past couple of months, and the results are starting to take shape. Figured this thread’s a good spot to lay it out since it’s about wins—and yeah, losses too.
The system’s pretty straightforward: I’m using a modified Martingale approach, but with a twist to keep things manageable. Start with a base unit—say, $10—and double it after every loss on a moneyline bet. The catch is I cap it at four steps to avoid spiraling into crazy amounts. After a win, I reset to the base. I also stick to underdog bets with odds between +120 and +180, focusing on teams with decent recent form but not the obvious favorites. Hockey’s got enough chaos in it to make this interesting, especially with how goals can swing late in games.
So far, I’ve tracked 35 bets over 8 weeks, all on NHL regular season games. Out of those, 14 hit, which is about 40%—not stellar, but the odds balance it out. Total staked: $1,230. Total returned: $1,680. That’s a $450 profit, or roughly 36% ROI. Not bad, but it’s not all smooth sailing. The longest losing streak was three, which meant a $70 bet on the fourth step. When that hit at +150, it pulled me back into the green, but those stretches test your nerve—and your bankroll.
Biggest win was a $40 bet on the Jets beating the Leafs at +140 back in February. They were down 2-0 going into the third, then stormed back with three unanswered goals. Paid out $96, and I reset the system right after. Worst loss? A $70 bet on the Coyotes against the Oilers. McDavid went off, and I was out the full amount. That’s hockey for you—unpredictable as hell.
I’m still tweaking the filters—might narrow it to specific divisions or home underdogs only. Sample size is small, so I wouldn’t call this a goldmine yet. Anyone else messing with progressive systems on sports? Curious how you handle the variance. For now, I’ll keep grinding it and update if it crashes or takes off.
The system’s pretty straightforward: I’m using a modified Martingale approach, but with a twist to keep things manageable. Start with a base unit—say, $10—and double it after every loss on a moneyline bet. The catch is I cap it at four steps to avoid spiraling into crazy amounts. After a win, I reset to the base. I also stick to underdog bets with odds between +120 and +180, focusing on teams with decent recent form but not the obvious favorites. Hockey’s got enough chaos in it to make this interesting, especially with how goals can swing late in games.
So far, I’ve tracked 35 bets over 8 weeks, all on NHL regular season games. Out of those, 14 hit, which is about 40%—not stellar, but the odds balance it out. Total staked: $1,230. Total returned: $1,680. That’s a $450 profit, or roughly 36% ROI. Not bad, but it’s not all smooth sailing. The longest losing streak was three, which meant a $70 bet on the fourth step. When that hit at +150, it pulled me back into the green, but those stretches test your nerve—and your bankroll.
Biggest win was a $40 bet on the Jets beating the Leafs at +140 back in February. They were down 2-0 going into the third, then stormed back with three unanswered goals. Paid out $96, and I reset the system right after. Worst loss? A $70 bet on the Coyotes against the Oilers. McDavid went off, and I was out the full amount. That’s hockey for you—unpredictable as hell.
I’m still tweaking the filters—might narrow it to specific divisions or home underdogs only. Sample size is small, so I wouldn’t call this a goldmine yet. Anyone else messing with progressive systems on sports? Curious how you handle the variance. For now, I’ll keep grinding it and update if it crashes or takes off.