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#51
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" I thnik preflop misstakes is more important then anything else because if u dont do this right, u normally arent very good"
Lol. |
#52
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[ QUOTE ] disjunction, this is really interesting results. thanks for posting them. [/ QUOTE ] im semi lazy but would like to do a similar test in my database... wherre is the filter for htis stuff? [/ QUOTE ] Same here, except my database is way too small to have any useful results and I'm pretty sure heisenb3rg and Tryptamean have me listed as a fish. [img]/images/graemlins/frown.gif[/img] |
#53
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disjunction, this is really interesting results. thanks for posting them. [/ QUOTE ] |
#54
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" I thnik preflop misstakes is more important then anything else because if u dont do this right, u normally arent very good" Lol. [/ QUOTE ] ok, genius. heres a prop bet. you play 45/10 for 100k hands at 10/20. ill bet 50k that you arent up money. |
#55
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[ QUOTE ] disjunction, this is really interesting results. thanks for posting them. [/ QUOTE ] [/ QUOTE ] yw Dang I accidently said something wrong in response to miles. X is really 50. (I would have been content to not say anything, but I don't want to lie) Since there's interest I guess I'll just post the rest of the raw data for anyone that's interested. Sorry about not formatting this. The last digit of every experiment corresponds to the number of fish at the table, filtered 5-6 handed. Ugh, I did this in a weird order. Experiments 0-5 define "fish" as VPIP > 40 Experiments 11-15 use VPIP > 50 Experiments 21-25 use VPIP > 45 The rest aren't my results. It's the composite results for every TAG at my table who is not me. Unfortunately it's hard to get both a large sample size and tight definition for TAG. So I defined TAG as a VPIP of 18-35, a PFR of 14-24, and a sample of more than 30 hands. There are at most 4 fish at the table because I take up one of the seats and we hope I'm not a fish. I repeated the same experiments with the not-me TAGs, except I did the numbering intuitively here... I wrote experiments 30 to 60 kind of quickly, I don't think I could have done much wrong but I'm not certain... Experiments 30-34 define fish as VPIP > 40 Experiments 40-44 use VPIP > 45 Experiments 50-54 use VPIP > 50 Columns are # of fish, BB won, # of hands, BB/100 0 0.9498859649120523 11994 per trial 7.919676212373289E-5 0 0.0 0 per trial NaN 1 597.9385000000117 54132 per trial 0.01104593401315325 1 0.0 0 per trial NaN 2 275.8733333333395 86867 per trial 0.0031758128326446118 2 0.0 0 per trial NaN 3 749.5289716703516 62525 per trial 0.011987668479333892 3 0.0 0 per trial NaN 4 332.93611111111244 21208 per trial 0.015698609539377236 4 0.0 0 per trial NaN 5 1.8623333333333174 3228 per trial 5.769310202395655E-4 5 0.0 0 per trial NaN 6 0.0 0 per trial NaN 6 0.0 0 per trial NaN 7 0.0 0 per trial NaN 7 0.0 0 per trial NaN 8 0.0 0 per trial NaN 8 0.0 0 per trial NaN 9 0.0 0 per trial NaN 9 0.0 0 per trial NaN 10 371.5398859649068 68168 per trial 0.005450356266355281 10 0.0 0 per trial NaN 11 591.3950000000073 102254 per trial 0.005783587928100683 11 0.0 0 per trial NaN 12 664.3698888889109 51699 per trial 0.01285072997328596 12 0.0 0 per trial NaN 13 279.34969389256725 14833 per trial 0.01883298684639434 13 0.0 0 per trial NaN 14 79.32633333333312 2784 per trial 0.02849365421455931 14 0.0 0 per trial NaN 15 -26.891666666666666 216 per trial -0.12449845679012345 15 0.0 0 per trial NaN 16 0.0 0 per trial NaN 16 0.0 0 per trial NaN 17 0.0 0 per trial NaN 17 0.0 0 per trial NaN 18 0.0 0 per trial NaN 18 0.0 0 per trial NaN 19 0.0 0 per trial NaN 19 0.0 0 per trial NaN 20 165.32605263158393 30728 per trial 0.0053803063209966135 20 0.0 0 per trial NaN 21 495.132166666678 87248 per trial 0.005674997325631281 21 0.0 0 per trial NaN 22 232.0905555555449 77782 per trial 0.002983859447629849 22 0.0 0 per trial NaN 23 952.8400827814697 34599 per trial 0.02753952665630422 23 0.0 0 per trial NaN 24 168.3252777777782 8570 per trial 0.019641222611175988 24 0.0 0 per trial NaN 25 -54.624999999999986 1027 per trial -0.05318889970788704 25 0.0 0 per trial NaN 26 0.0 0 per trial NaN 26 0.0 0 per trial NaN 27 0.0 0 per trial NaN 27 0.0 0 per trial NaN 28 0.0 0 per trial NaN 28 0.0 0 per trial NaN 29 0.0 0 per trial NaN 29 0.0 0 per trial NaN 30 -362.07716666666556 10166 per trial -0.035616483048068616 30 0.0 0 per trial NaN 31 -350.30716666666285 43496 per trial -0.008053778891545495 31 0.0 0 per trial NaN 32 156.80146171803625 59994 per trial 0.002613619057206325 32 0.0 0 per trial NaN 33 -163.04805555555168 31971 per trial -0.005099873496467164 33 0.0 0 per trial NaN 34 -1.0433333333336676 5431 per trial -1.921070398331187E-4 34 0.0 0 per trial NaN 35 0.0 0 per trial NaN 35 0.0 0 per trial NaN 36 0.0 0 per trial NaN 36 0.0 0 per trial NaN 37 0.0 0 per trial NaN 37 0.0 0 per trial NaN 38 0.0 0 per trial NaN 38 0.0 0 per trial NaN 39 0.0 0 per trial NaN 39 0.0 0 per trial NaN 40 -451.326833333331 23574 per trial -0.019145110432397177 40 0.0 0 per trial NaN 41 -1121.855476190487 63961 per trial -0.017539680058011712 41 0.0 0 per trial NaN 42 990.3647156862736 47257 per trial 0.02095699506287478 42 0.0 0 per trial NaN 43 9.550833333332571 14676 per trial 6.507790496955963E-4 43 0.0 0 per trial NaN 44 -146.40749999999954 1590 per trial -0.092080188679245 44 0.0 0 per trial NaN 45 0.0 0 per trial NaN 45 0.0 0 per trial NaN 46 0.0 0 per trial NaN 46 0.0 0 per trial NaN 47 0.0 0 per trial NaN 47 0.0 0 per trial NaN 48 0.0 0 per trial NaN 48 0.0 0 per trial NaN 49 0.0 0 per trial NaN 49 0.0 0 per trial NaN 50 -838.6739761904785 48475 per trial -0.01730116505808104 50 0.0 0 per trial NaN 51 -560.8429509804159 68567 per trial -0.008179487960395174 51 0.0 0 per trial NaN 52 930.6056666666793 28122 per trial 0.03309173126615032 52 0.0 0 per trial NaN 53 -235.87099999999901 5411 per trial -0.04359101829606339 53 0.0 0 per trial NaN 54 -14.892000000000015 483 per trial -0.030832298136645994 54 0.0 0 per trial NaN 55 0.0 0 per trial NaN 55 0.0 0 per trial NaN 56 0.0 0 per trial NaN |
#56
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Is this results from an SQL query in pokertracker?
If so , could you post the query? (not the results, the query itself) |
#57
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This is very interesting stuff. I plan on looking at this in my database once I get back in the states.
My table selection is woefully lacking, but I've never put much effort into it because I still win. Still, it would be much less stressful to up my winrate and reduce my swings. After reading this thread, I've started to wonder what my edge vs the regs is, if I even have one. I think it would be pretty easy to look at my wins/losses versus players with >1000 hands. Not sure if that would actually be useful for anything, since I would be inclined to get involved in multiway pots with regs+fish when I have an inferior holdings. But the fish would be removed from that study because of low sample size. I think its a pretty safe assumption that greater sample size --> less likely to be a fish. |
#58
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disjunction - this is great, thanks again.
This gave me the idea of doing this myself, then comparing that $/hr to the $/hr of whatever other game I would be playing instead! Wow! I'm a genius! Also I'm glad you've shown us to avoid those horrible tables with 5 fish [img]/images/graemlins/wink.gif[/img] |
#59
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What is with this chasing the fish rubbish?
Those huge VPIPs hardly exist, (6 months ago) Haven't played stars since. Seriously, if you cant beat those regs, how can you win? You TAGs have to realise that the new fish are YOU, i.e the weaker pro's are the new fodder, only the strong survive. And Nanonoko... he's the same name at a few sites right? I'm sure he cobbles together some kind of income (a fantastic effort these days), so give him a break... I have not played this freshjuice character... Heisenberg is what he says goo and v bad. A good player from 10/20 -30/60 that i remember is that guy with the surf or aqua in his name, damn mind blank, but i remember being scared of him lol. JT |
#60
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Seriously, if you cant beat those regs, how can you win? [/ QUOTE ] Well, by beating non-regs... but anyways, the point is not that I don't think I can beat them, but I think there may be more profitable games for me to be playing. |
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