#1
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Compiled Small Stakes stats
Hey all,
attached is a preliminary post of the stats from the 2/4 and 3/6 games. I wanted to do a little more (I also still have to post the correlations), but I also wanted to post this sometime today.. and I'll be running from 9-10 or so, I'll just kinda put this out there now... There are a few interesting things I'd like to point out... but I'll probably have to wait until tomorrow This is sort of a rough draft... and I would appreciate anyone's input as to what might make it better. Big questions: a) Anything that seems like a typeo? b) Layout? Is it clear? Im not great with that kinda thing. c) What do you think of the 0.5 SD range? That was an arbitrary choice. It is flexible... EDIT: I am interested in keeping this going... so, I will keep the info stored in an splus file on my comp, and would be willing to add to the ball, and update once every 2 months or so. |
#2
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Re: I hate you tiger woods.... AKA: Stats post
Introduction:
The intent of this post is NOT to have players change their game in an effort to make their stats look more like those presented. This post is intended to give people who are curious about their stats an idea as to where other winning players stand. The one-half standard deviation range about the mean is probably a good range for your stats to be in. It is very likely that winning players exist whose stats fall outside of many or all of these ranges. Likewise, it is very likely that some losing players have stats which fall within all of these ranges. Stats are great for plugging large leaks. If a player has a VPIP of 8.2% or 34.1%, they clearly are not playing an optimul number of hands. Examining stats will not take a 1.5BB/100 winner, and turn him/her into a 2.2BB/100 winner. These improvements need play time and hand posts. You might be calling the correct pecentage of river bets, but that doesn't tell us that you are calling the RIGHT rivers. Preface: The two most commonly used statistics when measuring a group of data are: mean and standard variation. Mean: This is simply the average. You add all the numbers together, and divide by the total number of observations. Standard Deviation: This is the measure of spread. I will leave the complicated formula out of this. Basically, the further the data tends to fall from the mean, the greater the standard deviation. For example: {5,7,9,11,13} and {1,3,9,15,17} have the same mean: 9, but the second set has a greater standard deviation. In addition to these two statistics, the following will also be used: A one-half standard deviation range about the mean: This is a range that measures from 0.5 standard deviations below the mean to 0.5 standard deviations above the mean. For example: In a data set with: mean = 10; standard deviation = 6; This range is: 7 - 13. Min: Smallest datum in the set. Max: Largest datum in the set. Methodology: I asked for stat submissions from 2/4 and 3/6 players in the small stakes forum. I received 21 sets of stats from 2/4 players and 10 from 3/6 players. (This ended up being roughly 504,000 hands for 2/4 and 313,000 for 3/6). Using S-Plus software, I proceeded to compute the data in the preface. Findings: 2/4: VPIP: Mean: 17.9 Standard Deviation: 3.18 Min: 13.13 Max: 27.75 A one-half standard deviation range about the mean: 16.31-19.49 VPIP in SB: Mean: 30.24 Standard Deviation: 6.09 Min: 20.91 Max: 48.78 A one-half standard deviation range about the mean: 27.19-33.28 Folded SB to steal: Mean: 83.01 Standard Deviation: 7.20 Min: 67.88 Max: 91.43 A one-half standard deviation range about the mean: 79.41-86.61 Folded BB to steal: Mean: 63.09 Standard Deviation: 13.51 Min: 20.51 Max: 79.12 A one-half standard deviation range about the mean: 56.33-69.84 Attempted to steal blinds: Mean: 27.19 Standard Deviation: 4.70 Min: 19.29 Max: 33.33 A one-half standard deviation range about the mean: 24.84-29.54 Won $ WSF: Mean: 33.27 Standard Deviation: 2.28 Min: 29.60 Max: 37.89 A one-half standard deviation range about the mean: 32.13-34.41 Went to SD %: Mean: 31.73 Standard Deviation: 3.11 Min: 26.74 Max: 37.99 A one-half standard deviation range about the mean: 30.18-33.29 Won $ at SD %: Mean: 53.87 Standard Deviation: 3.73 Min: 47.77 Max: 60.17 A one-half standard deviation range about the mean: 52.00-55.73 Preflop Raise %: Mean: 9.22 Standard Deviation: 1.56 Min: 6.84 Max: 12.56 A one-half standard deviation range about the mean: 8.44-10.00 Flop aggression factor: Mean: 2.85 Standard Deviation: 0.64 Min: 1.86 Max: 3.98 A one-half standard deviation range about the mean: 2.53-3.17 Turn aggression factor: Mean: 2.82 Standard Deviation: 0.35 Min: 2.12 Max: 3.55 A one-half standard deviation range about the mean: 2.64-2.99 River aggression factor: Mean: 2.10 Standard Deviation: 0.24 Min: 1.60 Max: 2.55 A one-half standard deviation range about the mean: 1.98-2.22 Folded to river bet %: Mean: 45.84 Standard Deviation: 4.73 Min: 34.81 Max: 56.22 A one-half standard deviation range about the mean: 43.48-48.21 VPIP from button: Mean: 20.02 Standard Deviation: 3.50 Min: 15.95 Max: 28.33 A one-half standard deviation range about the mean: 18.27-21.77 VPIP from one off Button: Mean: 17.86 Standard Deviation: 2.96 Min: 13.16 Max: 26.82 A one-half standard deviation range about the mean: 16.38-19.34 VPIP from two off Button: Mean: 16.48 Standard Deviation: 3.00 Min: 11.71 Max: 25.24 A one-half standard deviation range about the mean: 14.97-17.98 VPIP from three off Button: Mean: 15.35 Standard Deviation: 3.25 Min: 11.66 Max: 25.29 A one-half standard deviation range about the mean: 13.72-16.97 VPIP from four off Button: Mean: 14.79 Standard Deviation: 3.54 Min: 9.80 Max: 24.41 A one-half standard deviation range about the mean: 13.02-16.56 VPIP from five off Button: Mean: 14.49 Standard Deviation: 2.92 Min: 9.58 Max: 23.72 A one-half standard deviation range about the mean: 13.03-15.95 VPIP from six off Button: Mean: 14.60 Standard Deviation: 3.14 Min: 9.57 Max: 23.66 A one-half standard deviation range about the mean: 13.03-16.17 VPIP from seven off Button: Mean: 14.25 Standard Deviation: 3.54 Min: 7.44 Max: 24.08 A one-half standard deviation range about the mean: 12.47-16.02 VPIP from BB: Mean: 17.23 Standard Deviation: 4.39 Min: 11.86 Max: 29.46 A one-half standard deviation range about the mean: 15.03-19.43 Loss from BB: Mean: 0.18 Standard Deviation: 0.05 Min: 0.08 Max: 0.28 A one-half standard deviation range about the mean: 0.15-0.20 Loss from SB: Mean: 0.11 Standard Deviation: 0.05 Min: 0.02 Max: 0.21 A one-half standard deviation range about the mean: 0.09-0.14 3/6: VPIP: Mean: 17.63 Standard Deviation: 2.92 Min: 14.46 Max: 22.75 A one-half standard deviation range about the mean: 16.18-19.09 VPIP in SB: Mean: 24.14 Standard Deviation: 5.17 Min: 18.64 Max: 31.21 A one-half standard deviation range about the mean: 21.55-26.72 Folded SB to steal: Mean: 84.12 Standard Deviation: 5.01 Min: 77.67 Max: 91.25 A one-half standard deviation range about the mean: 81.61-86.62 Folded BB to steal: Mean: 62.92 Standard Deviation: 12.92 Min: 44.69 Max: 78.65 A one-half standard deviation range about the mean: 56.46-69.38 Attempted to steal blinds: Mean: 27.34 Standard Deviation: 6.29 Min: 15.67 Max: 38.62 A one-half standard deviation range about the mean: 24.19-30.48 Won $ WSF: Mean: 37.00 Standard Deviation: 2.72 Min: 32.90 Max: 40.96 A one-half standard deviation range about the mean: 35.64-38.36 Went to SD %: Mean: 34.50 Standard Deviation: 3.51 Min: 31.24 Max: 41.96 A one-half standard deviation range about the mean: 32.74-36.25 Won $ at SD %: Mean: 53.74 Standard Deviation: 3.46 Min: 48.91 Max: 60.36 A one-half standard deviation range about the mean: 52.01-55.48 Preflop Raise %: Mean: 9.63 Standard Deviation: 1.73 Min: 6.72 Max: 12.38 A one-half standard deviation range about the mean: 8.77-10.50 Flop aggression factor: Mean: 2.90 Standard Deviation: 0.58 Min: 1.92 Max: 3.82 A one-half standard deviation range about the mean: 2.61-3.16 Turn aggression factor: Mean: 2.89 Standard Deviation: 0.55 Min: 1.92 Max: 3.82 A one-half standard deviation range about the mean: 2.62-3.16 River aggression factor: Mean: 1.94 Standard Deviation: 0.27 Min: 1.63 Max: 2.47 A one-half standard deviation range about the mean: 1.80-2.07 Folded to river bet %: Mean: 40.44 Standard Deviation: 7.50 Min: 21.55 Max: 47.61 A one-half standard deviation range about the mean: 36.69-44.19 VPIP from button: Mean: 20.45 Standard Deviation: 3.63 Min: 16.57 Max: 25.61 A one-half standard deviation range about the mean: 18.63-22.27 VPIP from one off Button: Mean: 18.34 Standard Deviation: 2.88 Min: 14.84 Max: 23.66 A one-half standard deviation range about the mean: 16.90-19.78 VPIP from two off Button: Mean: 17.36 Standard Deviation: 2.93 Min: 13.51 Max: 23.16 A one-half standard deviation range about the mean: 15.90-18.82 VPIP from three off Button: Mean: 16.06 Standard Deviation: 3.71 Min: 12.79 Max: 22.29 A one-half standard deviation range about the mean: 14.21-17.92 VPIP from four off Button: Mean: 15.01 Standard Deviation: 2.94 Min: 12.04 Max: 20.12 A one-half standard deviation range about the mean: 13.54-16.48 VPIP from five off Button: Mean: 14.33 Standard Deviation: 2.97 Min: 10.38 Max: 19.81 A one-half standard deviation range about the mean: 12.84-15.82 VPIP from six off Button: Mean: 13.70 Standard Deviation: 2.77 Min: 10.12 Max: 19.48 A one-half standard deviation range about the mean: 12.31-15.09 VPIP from seven off Button: Mean: 14.35 Standard Deviation: 3.01 Min: 9.29 Max: 18.44 A one-half standard deviation range about the mean: 12.85-15.86 VPIP from BB: Mean: 18.30 Standard Deviation: 4.19 Min: 12.55 Max: 23.66 A one-half standard deviation range about the mean: 16.21-20.40 Loss from BB: Mean: 0.19 Standard Deviation: 0.06 Min: 0.08 Max: 0.26 A one-half standard deviation range about the mean: 0.16-0.22 Loss from SB: Mean: 0.06 Standard Deviation: 0.02 Min: 0.04 Max: 0.09 A one-half standard deviation range about the mean: 0.05-0.07 Thanks: I owe many thanks to all those who sent me their stats. As some did it anonymously, I can't name names here. But you know who you are. Thanks! |
#3
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Re: I hate you tiger woods.... AKA: Stats post
What is the sample size in number of hands submitted and number of people submitting?
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#4
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Re: I hate you tiger woods.... AKA: Stats post
[ QUOTE ]
What is the sample size in number of hands submitted and number of people submitting? [/ QUOTE ] [ QUOTE ] I received 21 sets of stats from 2/4 players and 10 from 3/6 players. (This ended up being roughly 504,000 hands for 2/4 and 313,000 for 3/6). [/ QUOTE ] EDIT: this was under the methodolgy section. |
#5
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Re: I hate you tiger woods.... AKA: Stats post
this is really cool stuff. I'd participate in any updates.
I steal more, defend my SB less, and win more often when I see the flop than average. I am also looser from the button. interesting stuff... |
#6
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Re: I hate you tiger woods.... AKA: Stats post
thanks a lot for your work with this, as someone new to poker tracker and keeping good stats in general, this is extremely helpful [img]/images/graemlins/cool.gif[/img]
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#7
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Re: I hate you tiger woods.... AKA: Stats post
Well, I'm not surprised to see that I have the highest VPIP and PFR, though someone beats me from the BB.
Thanks this is interesting. I only wish we could corrolate some of these numbers with actual results. Later, Mike |
#8
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Re: I hate you tiger woods.... AKA: Stats post
CallMeIshmael,
Would it be difficult for you to compute baseline SD values for all of the stats you presented? I.E. What is the average SD/100 of a stat like W$SD. Also, what is the standard deviation of the standard deviation of a stat like W$SD. I have always wanted to determine those values for 15/30 full ring and 10/20 6-max, because it would aid PT reads, but I do not have any statistical/database analysis software. |
#9
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Re: I hate you tiger woods.... AKA: Stats post
Thanks for this info!
Excellent post |
#10
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Re: I hate you tiger woods.... AKA: Stats post
This id awesome. Thanks a lot.
Some plots might be easier to look at if you plan on doing more with this. |
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