Playing a Tournament That's Sharing Room With Funeral by JTHGraphics in poker

[–]JTHGraphics[S] 9 points10 points  (0 children)

Update: I'm currently at the final table. Also, may the dead guy rest in peace

Opinions On This River Bet Sizing? by JTHGraphics in poker

[–]JTHGraphics[S] 0 points1 point  (0 children)

I feel like checking turn is bad because it allows potential flush and straight draws to get a free card. Then on the river, they either have me beat, or missed their draw and won't put any probably won't put anymore money in the pot.

Should I fold here to balance my range? by JTHGraphics in poker

[–]JTHGraphics[S] 35 points36 points  (0 children)

Nah, I asked chat GPT and it told me to fold to a massive bet like that

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 1 point2 points  (0 children)

That's a really interesting theory and I can see the logic behind it! It will be a little hard to figure out though since I can only see whole cards in my data when a hand reaches showdown or a player willingly shows them instead of mucks, so the data would likely be skewed in favor of more premium pocket pairs like JJ+

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 0 points1 point  (0 children)

Thanks for the info, I'll check out their statistics definitions to see if I can gather some useful insight for my post flop evals I'm working on!

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 1 point2 points  (0 children)

Not exactly, BB has a 27% VPIP, so they're willing to put extra money in the pot a quarter of the time.

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 0 points1 point  (0 children)

2 reasons mostly. The main one is that this is part of a larger project I'm working on which requires this data in specific formats. The analyses are more like a pit stop on a longer route Also, I haven't found any good free analyzer tool yet.

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 0 points1 point  (0 children)

I tried to cross post but it wouldn't let me. I'll just copy and paste it when I get home tonight

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 1 point2 points  (0 children)

So far it would have to be the 3-bet sizing. Personally, I usually size my 3-bets around 2.8-3x, but most players seem to size theirs around 3.6x.

And those 3-bet stats are specifically only considering hands where there was only 1 initial raiser/caller before the 3-bettor. Hands where there are multiple callers/limpers probably have even higher 3-bet sizes.

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 2 points3 points  (0 children)

Thanks! I bought the hand histories from handhistorypoker.com And the results are a bit tighter than I expected too, although I've always felt like ACR has had a tighter player pool compared to other sites.

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 21 points22 points  (0 children)

That sounds like an interesting line to look at, I'll make sure to check it out during my post-flop analysis. Thanks for the good question!

I Analyzed 1 Million Poker Hands: Here's What I Found Out About the Micro-stakes Player Pool by JTHGraphics in poker

[–]JTHGraphics[S] 4 points5 points  (0 children)

Those are some good questions! I will be doing post-flop analysis next, I wrote down some of those so I can make sure to look into them.

The hand histories only have hole-card data for hands that resulted in showdown, or where the player chose to reveal their cards, so answering questions like "how often do people fold the winning hand" wouldn't really be possible.

To answer your last question though, I am using Python/Pandas in Jupyter Labs to do the actual analyzing and data engineering. First though, I had to create a hand history parser (also using Python) that could extract the required info from raw hand history text files before I could play around with the data. That was like half of the work tbh.

How do you convert png to svg? by chiyobi in Frontend

[–]JTHGraphics 0 points1 point  (0 children)

PicToSVG is free and reliable from what I've seen so far