Is Online Poker Becoming Too “Solver-Based” for Recreational Players?

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harshu

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  • #1
Over the past few years, it feels like online poker has shifted heavily toward solver-influenced strategies. Even at lower stakes, players seem more balanced, more aggressive in the right spots, and less likely to make obvious mistakes.

It makes me wonder:

  • Has solver knowledge made the games tougher overall?
  • Are micro and low stakes still beatable without deep theory knowledge?
  • Or is population still making exploitable mistakes despite the theory improving?
I’ve noticed that autopilot poker doesn’t work anymore. You really have to pay attention to ranges, bet sizing, and player tendencies.

At the same time, I still believe strong fundamentals (position, bankroll management, tilt control, value betting) matter more than memorizing solver outputs.

What do you think?

Is online poker:

  1. Much tougher than 5–10 years ago?
  2. Slightly tougher but still very beatable?
  3. Basically the same — we’re just improving too?
Curious to hear perspectives from both cash and MTT players
 
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fundiver199

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  • #2
Depends what you mean with "lower stakes". For micro and low stakes tournaments (less than $20), there are still many recreational players, who make big fundamental mistakes like limping preflop or massively overplaying top pair bad kicker postflop. So of your 3 options I would choose 2. "Slightly tougher but still very beatable". It should be said though, that games softened up tremendously during the pandemic in 2020-2021. So if your first experience with online poker was during that specific time, then its definitely much tougher now.
 
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ninjareal

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I will only comment on MTT , and no I don't think poker is any harder than before , in a MTT you know what you need to do vs the blinds,
and after rebuy period, players get knocked out and you still know what you need to do to progress, I don't think solvers help with that do they ?
as a side note I would add that perhaps solvers only work on robotic type players.....? but for players who bluff a lot and put pressure , what can
a solver do for that ? players and their style, personality , perhaps ranges too etc ... this is what still makes the game fun and unpredictable imo.
 
thwenth1983

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Good morning everyone.

Even though solvers exist, not even very strong players can use them correctly 100% of the time. It is extremely difficult to apply all solver frequencies and decisions during actual gameplay. I see players who study a lot, analyze hands, use advanced tools, and still make mistakes in cash games.

Poker is an extremely complex game. It is not realistic to imagine that micro-stakes players are using solvers to make perfect decisions all the time. What is really happening is that today there is much more information available about the game: how to play more aggressively, when to bluff, which spots are best to apply pressure, among other strategic concepts.

With the amount of content available on YouTube, courses, and free material, it has become much easier to learn. As a result, the average skill level of players has increased. It was easier to play five years ago than it is today. Nowadays, because there is much more information circulating, the game has become more competitive and challenging.

However, this does not mean that it is impossible to beat the micro stakes with relative ease. There are still many recreational players at these levels. The other day, for example, I was watching BigFat’s stream, and he called with 5♠4♠ (five-four suited) against two players in an $82 tournament that he ended up winning.

In micro-stakes tournaments — such as $10 or $20 events — there are still many recreational players. As the buy-in increases, their number decreases, but they continue to exist.

Therefore, despite the evolution of poker knowledge, there is still room for disciplined and well-prepared players to achieve strong results.
 
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KLEBE7

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  • #5
I get that it's the future of the game, but it's a steep learning curve for someone who just wants to play a few hours a week. It definitely makes the game feel more like 'homework' sometimes!
 
Dorugremon

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  • #6
harshu said:
Is online poker:

  1. Much tougher than 5–10 years ago?
  2. Slightly tougher but still very beatable?
  3. Basically the same — we’re just improving too?
Curious to hear perspectives from both cash and MTT players
I'll take what's behind door number 2, Monty. I find that there really isn't much difference from when I started playing on-line in '15. Yes there are solvers and equity calculators that are more readily available. They don't do any good unless you actually use them, which most rec-fish do not. The mindset of the rec-fish is that poker is entertainment and the luck of the draw. Away from the tables, they never give Poker a thought. The "fish" will always out number the "otters".

At best, "GTO" and solvers are fads. Most people don't understand that "GTO" is a defensive play that's used against unknowns, or when the leveling wars become too heated. At worst, it's a scam. GTO will make you an instant success, oh, and by the way, can I sell you this nifty solver soft? You're better off paying attention at the tables, identifying the leaks, and exploiting them. Even today, despite all the solvers, the "Poker Universities", the CensorTube videos, I still see the rankest beginner errors every session, and coming from steady regs. The most common error is open limping, and I see it every time. I don't know how this happens, maybe a hold over from fixed limit play? Maybe they just don't think?

fundiver199 said:
It should be said though, that games softened up tremendously during the pandemic in 2020-2021.
The fakedemic was as good as Black Friday. Black Friday brought ESSSSS-loads of college boys to the B&M Poker rooms. Like shooting fish in a barrel. The scaredemic lock-downs sent ESSSSS-loads of bored, locked down, fish to the on-line tables.
 
Greydan

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  • #7
Poker is about exploiting opponents. Once it was for exploiting unprepared mathematically enthusiastic individuals, now it is about exploiting largely thought-absent, data-driven math nerds.
 
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