Tag Archives: strategy

The Poker Cards

Texas Hold’em Basics

1. Stick to playing good cards.

As much as you might like to think that being a good poker player is playing any two cards and making money with them, it really isn’t. If you are playing bad cards, you are playing bad cards… there is no two ways about it, no matter how many fancy plays you think you know.

Strong Cards

As a potential winning poker player, you need to come to terms with the fact that you have to throw away the majority of the hands you are dealt. The ability to play the good cards and throw away the bad ones is the foundation of every winning poker player. You might see pro players on TV playing useless hands, but these shows do not truly reflect how these pros play normally (if they want to win money), so don’t get sidetracked.


2. Always think about your position.

Your position at the table can have a huge influence of the outcome of a hand. You will really be amazed at how much power you have when you are acting after your opponents rather than before. The longer you play poker, the more you will start to realize how almost every play you make will be influenced by your position at the table.

You see that white dealer button on the table? Make sure you get used to keeping track of it, because playing in position (when you are acting after your opponents) more often than you play out of position will have a dramatic effect on the number of pots that you drag home.

Hands in Texas Hold’em can be won on position alone. Honestly, position is awesome.

3.Don’t get addicted to bluffing.

Yes, bluffing can win you a few extra pots, but it is not the heart of winning poker strategy. First of all you need to work out how to play a hand properly, and then you can start thinking about adding extra elements to your game like the bluff. The chances are that if you are a new player, you are bluffing far too often and losing money because of it.

It is an awesome feeling to pull off a successful bluff, but as you start out learning the game and trying to make money from it, the bluff is something that is best set to the side for the time being. If a prime opportunity to bluff jumps right out at you, then by all means do what you need to take the pot. But in general, the bluff is something that should be used sparingly and only in the right situations when you are confident that it is going to work.

It’s better to save your money and check, rather than lose a lot by attempting to bluff. Read up on the bluffing tips article to help you pick the right spots.

4. Learn a little bit of the maths.

No, please, don’t run. The math in poker isn’t that hard at all. Okay, it might take 5 or 10 minutes to get your head around some of it, but it is incredibly handy and will help you to make the most profitable decisions possible at every opportunity and earn you a lot of money. Now that’s enough to get anyone wanting to learn some math!

5. Think about everything that is taking place at the poker table.

A thinking poker player is a winning poker player. The problem with poker is that if you win, it doesn’t necessarily mean that you made the right play. Similarly, if you lose, it does not mean that you made the wrong play. This can make it tricky to figure out what is wrong and right when it comes to playing a good poker game, but only if you let it.

Whenever you make a decision, think about why you are doing what you are doing and what you expect to accomplish by doing this. Similarly, think about why your opponents are making the moves they make and why they could be making them. This is a great way to develop your mind and help to start seeing poker from all the angles, which is key to developing a winning poker game.


D’Alembert Law of Equilibruim Strategy

Among the various progressive betting systems used for casino table games today, more than a few were developed by some of the greatest scientific minds of the 18th century. Of special note, French mathematicians often took the lead in analyzing games of chance. They were fascinated with statistics and probability, particularly in connection with tossing coins and dice.

One of those fascinated French academics was Jean-Baptiste le Rond d’Alembert (1717~1783), whose credentials included honors in physics, philosophy and music theory as well as maths. One of his rather odd (an incorrect) theories was that the probability of a tossed coin landing “tails” would increase for every time that it came up “heads.” He referred to this as the “Law of Equilibrium.”

The mistake d’Alembert made was basing his theory solely upon observation rather than calculations. He had witnessed that whenever two events are equally likely, such as coin flips resulting in heads or tails, that they really do appear to occur in equal number over the long term. Streaks losses seem to be counterbalanced by streaks of wins.

In truth, of course, all coin flips are independent outcomes, unaffected by past results. Nevertheless, based upon his faulty logic, d’Alembert’s system of betting promoted a process of decreasing one’s bet when winning and increasing it when losing, confident that wins and losses would eventually become equal for wagers with odds of 1:1.

The d’Alembert Betting System is therefore most commonly used for “even money” bets, such as Red or Black wagers at the Roulette table, Pass or Don’t Pass wagers at the Craps table and Banker or Player wagers at the Baccarat table. With modification, the system can also be used for Blackjack as well as for sports betting where vigorous must be accounted for.

The objective of the d’Alembert Betting System is to win a single unit in profit, so the player begins by wagering one unit at Evens. Each time a bet succeeds, one unit will be subtracted from the total just wagered and the remainder will be the amount of the next bet. Whenever a bet loses, one unit is added to the total wagered for the next bet. The progression continues until the amount of the next wager becomes zero.

As an example, if £1 is the basic unit and the first bet succeeds, subtracting one unit results in a next wager of zero, so the progression ends with a profit of £1. On the other hand, if the bet loses, the wager is increased by one unit to £2. If it wins, reduce the wager by one unit back to £1. If it loses, increase it one unit to £3. Continue playing in this fashion until the required wager is zero, resulting in a single unit (£1) in profit. Then, the progression begins anew.

One aspect of the d’Alembert Betting System that sets it apart from Martingale is that it does not require risking huge amounts at unfavorable odds in an attempt to recover previously lost wagers. Also, it differs from Labouchere because strings of losses never increase the wager by more than a single unit for the next bet. The d’Alembert Betting System is thus a very slow and methodical approach to wagering, making it a less risky progression than its cousins.

Where the system fails, however, is in its basic premise of Equilibrium. An initial loss might easily be followed by series of wins and losses in equal number, never quite recovering the original wager. Indeed, the progression might never end at all.


The 8 rules of Forex Trading

Forex trading is a difficult sport. You have to be ready to follow rules and principles. So, before start trading, please, read the following basic rules.


1. Don’t trade when you are tired, sick, anxious or worried.
2. Make sure you paper-trade before you risk real money.
3. Don’t get greedy. As they say… “Hogs get fed, pigs get slaughtered.”
4. Always put a protective stop in place.
5. Losses are part of this game and you must be able to accept them. If you can’t stomach the idea of losing money, then don’t trade.
6. Decide on your exit strategy, before you enter the trade.

7. If the risk is too big on a trade then don’t take it.
8. The hardest time to take a trade is when you have just had a few losers in a row. This however is exactly the time you need to jump right back in there as odds are that the next one will be a winner


Read Bernoulli’s Law before start betting

In the 17th century mathematician Jacob Bernoulli created the Law of Large Numbers, and asserted that even the stupidest man understands that the larger the sample, the more likely it is to represent the true probability of the observed event. For betting, this is known as the Gambler’s Fallacy, and can be a very costly misconception.

The Law of Large Numbers

Using a fair coin toss as an example (where the chance of hitting heads and tails has an equal 50% chance), Bernoulli calculated that as the number of coin tosses gets larger, the percentage of heads or tails results gets closer to 50%, while the difference between the actual number of heads or tails thrown also gets larger.

It’s the second part of Bernoulli’s theorem that people have a problem understanding – which has led to it being coined the “Gambler’s Fallacy”. If you tell someone that a coin has been flipped nine times, landing on heads each time, their prediction for the next flip tends to be tails.

This is incorrect, however, as a coin has no memory, so each time it is tossed the probability of heads or tails is the same: 0.5 (a 50% chance).

Bernoulli’s discovery showed that as a sample of fair coin-tosses gets really big – e.g. a million – the distribution of heads or tails would even out to around 50%. Because the sample is so large, however, the expected deviation from an equal 50/50 split can be as large as 500.

This equation for calculating the statistical standard deviation gives us an idea what we should expect:

0.5 × √ (1,000,000) = 500

While the expected deviation is observable for this many tosses, the nine-toss example mentioned earlier isn’t a large enough sample for this to apply.

Therefore the nine tosses are like an extract from the million-toss sequence – the sample is too small to even-out like Bernoulli suggests will happen over a sample of a million tosses, and instead can form a sequence by pure chance.

Applying Distribution

There are some clear applications for expected deviation in relation to betting. The most obvious application is for casino games like Roulette, where a misplaced belief that sequences of red or black or odds or even will even out during a single session of play can leave you out of pocket. That’s why the Gambler’s Fallacy is also known as the Monte Carlo fallacy.

In 1913, a roulette table in a Monte Carlo casino saw black come up 26 times in a row. After the fifteenth black, bettors were piling onto red, assuming the chances of yet another black number were becoming astronomical, thereby illustrating an irrational belief that one spin somehow influences the next.

Another example could be a slot machine, which is in effect a random number generator with a set RTP (Return to Player). You can often witness players who have pumped considerable sums into a machine without success embargoing other players from their machine, convinced that a big win must logically follow their losing run.

Of course, for this tactic to be viable, the bettor would have to have played an impractically large number of times to reach the RTP.

With an understanding of the Law of Large Numbers, and the law (or flaw) of averages consigned to the rubbish bin, you won’t be one of Bernouilli’s ‘stupid men’.


Basic Poker Hands

Poker Hands

(from Best to Worst)

Be sure to pay close attention and memorize the poker hand rankings. Let’s start with the best possible hand in poker….

1.Royal Flush

Royal Flush

A Royal flush consists of five cards of the same suit, in sequence from 10 through to Ace. Remember that all suits are equal in poker. If two or more players hold a royal flush (highly unlikely) then the pot is split, i.e. the players share the winnings.

2.Straight Flush

Straight Flush

Five cards of the same suit, in sequence. This example shows a Jack high straight flush. If two or more players hold a straight flush then it is the highest that wins. For example, a Queen high straight flush beats a Jack high straight flush. You will notice that this is very similar to a Royal flush, and that’s because a Royal flush is in fact an ace high straight flush – but it’s given its very own ranking.

3.Four of a Kind

Four of a Kind

This hand contains four cards of the same rank/value. This example shows four 8’s, plus a 5 (remember that all poker hands must have five cards). If two or more players have four of a kind, then the highest value wins (e.g. four 9’s beats four 8’s). If two or more players share the same four of a kind, which can happen when using community cards (more on that later) then the winner is decided by the fifth card. So a player with four 8’s and a 6 would beat a player with four 8’s and a 5.

4.Full House

Full House

A full house contains three cards of the same rank, plus a pair. In our example you can see three 10’s and a pair of 7’s. The value of the three matching cards determines the strength of a full house. So three Jack’s with a pair of 7’s would beat our example hand. If players share the same three cards, which is possible when using community cards, the strength of the pair is then taken into account. So, three 10’s and a pair of 8’s would beat our example hand.



Five cards of the same suit in any order. Our example shows a Queen high flush. If two or more players have a flush then the player with the highest ranked card wins. If the players share the same high card then it’s determined by the value of the 2nd, 3rd, 4th, and 5th card respectively.



This hand contains five unsuited cards in sequence. Our example shows a King high straight. In the event of a tie, the best straight is determined by the highest ranked card. A straight consisting of 8, 9, 10, J, Q, would lose to our example hand. But a straight consisting of 10, J, Q, K, A, would win. Also note that an Ace can be used as the low card for a straight of A, 2, 3, 4, 5. This would lose to a straight of 2, 3, 4, 5, 6.

7.Three of a Kind

Three of a Kind

Three cards of the same rank, and two unrelated cards. Our example shows three 4’s. Three 5’s would beat our example hand, three 6’s would beat three 5’s, and so on. If players share the same three cards, then the value of the highest unrelated card would count and if necessary, the value of the second unrelated card. So, three 4’s with Jack, 8, would beat our example hand. As would three 4’s and 10, 9 (because 9 is higher than 8).

8.Two Pair

Two Pairs

Two cards of matching rank, with another two cards of another rank, plus an additional card. In the event of a tie, the highest pair wins. If players share the same highest pair, then the value of the next pair wins. For example, a pair of Aces, and a pair of 6’s would beat our example hand, as would a pair of Kings and a pair of 7’s. If two or more players share the same two pair, then the value of the fifth card counts. So, a pair of Kings, a pair of 6’s, with a 4, would beat our example hand.

9.One Pair

One Pair

A paired hand contains two cards of matching rank, plus three additional cards. The value of the pair determines who wins in the event of a tie. For example a pair of 10’s beats our example hand. If players share the same pair then the best hand is determined by the value of the highest additional card. If this is the same then it goes to the second card, and if necessary the third. So, a pair of 9’s with an Ace, 2, and 10, would beat our example hand. As would a pair of 9’s, King, 10, and a 3.

10.High Card

High Card

If a hand doesn’t fall into any of the above categories, then it is judged on the value of the highest ranked card among the five. In this example we have a hand which is Queen high. If players share the same highest card, then it goes to the value of the 2nd, 3rd, 4th, and even 5th card if necessary. A hand of Queen, 10, 9, 5, 4, would beat our example hand.

and… Community Cards

As you already know, a poker hand consists of five cards. In many variations of poker, players receive or can choose from more than five cards. For example, in Texas Hold’em each player is dealt two private cards, but can also use the five community cards that are available for all the players to use. This makes a total of seven cards, but each player must choose their best five cards to make their best possible hand. Here’s an example:

Community Cards in Texas Hold'em

In the above example, the best five cards among total of seven (two private cards and five community cards) would be combined to make a flush.