u/Ikerggggg

The term fatigue seams to be use as a double edge sword, that you need to know how to not over do it but do it enough to drive the adaptation. And that stimulus under depletion enhances the adaptation.

And that seams to be the case of Ingebritsen to be as fatigue as posible but not go over the edge and repeat for long periods of time (not tryieng to focus on the injuries), and has worken very well for him and brothers.

How does some one can distinguish the fatigue from the on that will get you stronger from the one that will get you in a hole.

The CTL is one metric many here will say but that in mi case havent relate at all from how i run or training is going and seams to just reward volume

The term fatigue seams to be use as a double edge sword, that you need to know how to not over do it but do it enough to drive the adaptation. And that stimulus under depletion enhances the adaptation.

And that seams to be the case of Ingebritsen to be as fatigue as posible but not go over the edge and repeat for long periods of time (not tryieng to focus on the injuries), and has worken very well for him and brothers.

How does some one can distinguish the fatigue from the on that will get you stronger from the one that will get you in a hole.

The CTL is one metric many here will say but that in mi case havent relate at all from how i run or training is going and seams to just reward volume (in my case)

repo: https://github.com/ikergomezgarza/Empezando/tree/main/projects/P13_BlackJack

solution found i was hitting in softs 21 which at the beggining i ignore by thinking it was balckjack so no worth coding ups, some twik before like these not including a number bring the house ege from 1.1 to .9, these one from .9 to .62 and when i implement surrender would put me just in range of theorical value which will allow me to simulate diferent strategies

Ive been programing in python the whole Game from the cards, game, logic, decision, rules, payout and statistics.
simulations:

- the way i getting the statistics is 100-1000 rounds of 10,000 to 100,000 hands.

-the player is given a unit value (ej: 100$ per unit) and gives a bank roll of unit * 1000

- It uses perfect strategy, the logic works fin been checked lost of times which is getting i get a 42% of win rate (also deviations acording tu true count but this is not the error)

the problem im getting is that even though win rate is in theory range and all the bet sizing and payout is working correctly (as far as ive tested and tripled checked) im not getting the expected edge here is the data:

------

After: 100 simulations of 10,000 hands:
Strategy | Mean $ | Std $ | Min $ | Max $ | Ruin % | Win %

--------------------------------------------------------------------------------------------

perfect_strategy | 90210 | 10831.11 | 63300 | 115450 | 0.0 | 43.09

if casino edge .5 after 10000 hands expexted result would be 95,000 not 90,000
--------

These is the data of one simulation (sample 1/100):

Category________| Count __| Net $ _____| Net/Hand____| Win %

hard____________| 7940___| -56200_____| -7.078_______| 41.3

soft ____________| 903____| 10400______| 11.517_______|48.4

pair_split ________| 532____| 1800 ______| 3.383 ______|46.6

blackjack ________| 470____| 70500._____| 150.000 _____| -

dealer_blackjack. _| 437____| -41700_____| -95.423 _____| -

double__________| 960____| 26800______| 27.917 _______| 57.0

bust_____________ | 1671__ | -167100 ____| -100.000 ____| -

The Count is not 10,000 hands cause one hand split splits into 2 so it add 2 hards or 2 soft etc...

net/hand is how much you loose or win with that hand, ex if you bust you loose the 100$ or 100% giving is a 100 could be interprate as either, and Dealer Black jack is not a 100 given that it check if you have blackJack and pushes.

Are these % and stats ore good havent found information in these %

extra:

-(Ive seen these is the way people bet 1/1000 of bankroll and depending on the count they have liner or exponensial bet sizing, these is implemented but first need to fix the main isue, and then focus on counting)

-(Also ive coded deviations but are not used for now, and insurance whish is coded but not used given only is used at +3 and without counting you dont use it )

Strategy | Mean $ | Std $ | Min $ | Max $ | Ruin % | Win %

--------------------------------------------------------------------------------------------

perfect_strategy | 87548 | 10982.99 | 63700 | 119450 | 0.0 | 42.97

counting_conservative_nodev | 103674 | 15130.0 | 71000 | 145200 | 0.0 | 6.33

counting_conservative_dev | 108622 | 16351.42 | 76100 | 165150 | 0.0 | 6.52

counting_aggressive_nodev | 102622 | 31435.55 | 30800 | 197900 | 0.0 | 6.38

counting_aggressive_dev | 113752 | 32589.81 | 21800 | 187600 | 0.0 | 6.4

the win rate here is bad for the % still a bug have to fix