Quote:
Originally Posted by niceguy22
Kinda confusing but does that red line mean that your wr went from 20$/hr at ~375 hrs, and down to $5/hr at like ~450 hrs? That is a bad 75 hr stretch for like -$5k. Or maybe im reading it wrong.
Btw im not rubbing it in. I think you're a good player fwiw
Yea, you're reading it a little wrong. The blue line is overall winrate, which remains positive. The red only looks at the last 500 hours. So at hour 500 it covers hours 0-500, at hour 505 it's hours 5-505.
Thanks. I'm not a *great* player, and have some bad leaks. But I don't see many large datasets that anyone has bothered to look into in any depth for a live game. So there's some value in these.
I do have a stretch of 228 hours where I lost $5,500. Some of that was trying to play PLO, but most of it was NLHE. I think that was around hour 2000 or so.
Quote:
Originally Posted by 23LBJ23
@niceguy22
He never went to $5/hr on the red and blue line in the time line you depicted. Red didn't hit $5 until the 700's or so. The red line simply measures the last 500 hours on a trailing basis. Thus the greater volatility then the overall win rate - blue line. Green is over last 100 hours. Thus even greater volatility.
Quote:
Originally Posted by johnny_on_the_spot
It's just graphing 500 and 100 hour intervals. At hour 1000 on the X axis, the red line represents his winrate from hours 500-1000, green line represents winrate from hours 900-1000. If you move 50 hours down the line to 1050, it then shifts to hours 550-1050 and 950-1050 for the red and green, respectively.
Essentially, all this graph is for is to show that at block X hours of time, his winrate has varied from values $Y to $Z, because he was responding to a comment about seeing a ~500 hour chunk with a negative winrate
Exactly. I like to show this graph to people that start worrying about or planning around 100 hour samples. It's also why I'm suspicious even of 500 hour samples. Although I think those are enough that you can tell a winning player from a complete donkey. I'd expect an overall losing player to be more likely to have negative 500 hours samples, etc.