Tag: Free fixed bets tips 1×2

Free fixed bets tips 1×2

Free fixed bets tips 1×2

Strong fixed matches 1×2

Fixed Odds Matches Today

Fixed Odds Matches Today

Fixed Odds Matches Today


Latest Football Betting Odds
Day: Sunday    Date: 07.12.2025

League: SWITZERLAND Super League
Match: Winterthur – Basel
Tip: Over 2.5 Goals
Odds: 1.50    Result: 1:2 Won

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Tournament Football Betting

Thinking about tournament football betting? Bet on the big international football tournaments is difficult. It’s hard to know in what form the team for the tournament arrives. Due to the format of international tournaments, the team can get in a bad shape very quickly to problems, which many a punter can cost a lot of money. Let’s dive in and learn all about tournament football betting.

And that means one thing – punters must do our utmost not only to ensure that they were more than ready for the start of the tournament, but must also get prepared to quickly and accurately adapt to situations arising. Below you will find 5 different factors that can (resp. Should) betters get them to accede to changes in their betting strategy:

1) Team is missing right chemistry

Chemistry and leadership play a significant role in what performances will serve the team in the tournament Fixed Odds Matches Today. If players are not on the same wavelength and cooperation between the elements of the team does not work, then the team is vulnerable. Unfortunately, the situation is such that even a single loss can be fatal, so poor team chemistry is a big problem.

If a team shows signs of lack of chemistry (poor body language, lack of concentration and commitment, criticism of the rest of the team after matches), then perhaps really the right time not to your expectations for this team lowered. This is especially true if the chemistry and the degree of leadership in the team is not nearly as high as you expected. If you attempt to change quickly enough, you can find real value, as compared to the betting Fixed Odds Matches Today public will be one step ahead.

Football Betting Strategies

2) Players do not have the correct form

Punters know that football can be the difference between winning and losing even a single player. This may be necessary shooter stretching offensive midfielder who excels in the creation process, or keeper, who literally line in the gate.

Before the start of the tournament you will surely know whether the team has some really key players (and if so, you’ll know who it is). If the player in the first match of the tournament does not give convincing performances, the team may suffer and you can earn by lowering your expectations from the team.

At the same time it is true that in this case you should not over-react rapidly and robustly. One or two bad matches still mean that the player will be useless to his team during the tournament. Punters must look at the bigger problems – health problems, problems with players around the key player, problems with the coach, and so on. Only after evaluation of these factors, you will know how this team really is.

3) The mixed assembly

Relatively long time before the tournament should have a coach an idea of ​​how it will look its general assembly and also about what will be in the basic eleven. If, however, just before the start of the tournament will be any major changes (for example, due to the injuries of players), you should pay attention.

The order is still that, if necessary replace coach one another defender (and quality). But if the coach makes some big changes (in the report, in the style of the game), you should start thinking about the team’s performance in the tournament probably not something brilliant.

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4) Yellow and red cards

One of the important rule about tournament football betting is about yellow and red cards. Yellow and red cards can have a devastating effect on the team, because for them the key man team to lose the most important matches of the tournament

5) Surprisingly strong teams

Experienced bettors know that virtually every major tournament appears 1-2 teams that are significantly stronger than expected. This may be necessary because the team “arrived” before The betting public expected the players played fast and formed a great team chemistry.

When any team at the start of the tournament will shine, bettors must correctly predict whether the team this performance maintained throughout the entire tournament. Once you know it, you’ll be able to perform adequate changes in their betting strategy Fixed Odds Matches Today.

Fixed Odds Matches Today

Of course, but there are situations where the team is really strong and deserves more respect than he originally gave The betting public. The faster you can evaluate the situation, the more you’ll have a head start and the greater advantage you can get.

In play football betting markets to concentrate on

Asian handicap Football Betting Matches

This is where you make serious money. Remember, scores are reset from the time that you place your bet. If a team you want to bet on are winning 2-0 and they are on a -0.5 Asian handicap then you would need them to win the game from the moment you put your bet on. Forget about the score being 2-0, it is 0-0 you need your team to win from the remaining time left in the game.

Asia Fixed Matches Handicap Betting

This is why Asian handicap betting is so beneficial to in play football betting. If you notice a team starting to dominate a match from a position of 1-2 down, you can bet on them on the Asian handicap knowing that the score is reset to 0-0 from the moment you place your bet!

Next team to score

Again, a great market to bet on in play football betting matches. The home team may be 3-0 up and you may of noticed that the visitors are peppering their goal with shots in a bid to get back into the game. The home side seem content to sit on their lead. Now is a great time to strike on the next team to score market.

Draw no bet

Provided the odds are stacked in your favour (value) this can be a great bet to get on when a team is dominating the game. Yet losing at the time you want to bet. You would get your stake back if the game finished a draw. Good win if your team managed to turn the game around and win.

Lucky 15 bet

As an advancement of the Yankee Bet, the Lucky 15 Bet includes, obviously, 15 bets. These 15 bets comprise of 4 single fixed bets, 6 two-leg multi, 4 three-leg multi, and 1 four-leg multi.

Over/Under Daily Tips Free

This nice and simple betting strategy is easily explained. Although it initially only included betting on the number of goals scored during a football match, you are now able to bet on almost everything that is countable.

Score cast/win cast

In both the score cast and the win cast you have to bet on a player to score a goal. The only difference between those two strategies is that, in addition to predicting the scorer of a score cast bet, you have to guess the exact result of the game; while for a win cast bet it is enough to predict the winning team. In both cases, you need a little luck to win but also a good knowledge of the competing teams. Closing on the account of the hope that now you know all about Tournament football betting and ready earn money through fixed matches.

Use our solo tips today and bet soccer fixed odds matches today. Wager your money on some hot fixed matches and enjoy!

Halftime Fulltime Fixed Matches Big Odds

Halftime Fulltime Fixed Matches Big Odds

Halftime Fulltime Fixed Matches Big Odds


Best football fixed matches website
Day: Monday    Date: 19.09.2022

League: NORWAY Division 2 – Group 2
Match: Ull/Kisa – Valerenga 2
Tip: Over 2.5 Goals
Odds: 1.50    Result: 3:0 Won

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Fixed Correct Score Matches 1×2

In February 2019, FixedMatch.Bet Betting Resources published an article Halftime Fulltime Fixed Matches Big Odds modeling a bettor’s range of possible fixed matches winning betting returns. Around an expect performance there is a distribution of possible outcomes influence by good and bad luck, define by the mathematics of the normal distribution. To help bettors visualise this, we made available a simple performance distribution calculator fixed matches.

Flashscore place for watching live results and old results. This analysis only consider stakes of the same size (level stakes). Whilst I’m very much an advocate of this money management strategy, others quite reasonably prefer a different one. The most common one is to bet a percentage stake based on the current size of one’s bankroll.

Unsurprisingly, the aforementioned method is known as percentage staking. It’s a strategy I’ve discussed before on FixedMatch.Bet in comparison to level staking. The simplest version is to bet the same percentage for every bet, regardless of the odds. More sophisticated versions, like Kelly staking, advocate taking both the odds and the size of one’s expected value into account when defining the percentage size.

How does percentage staking work?

Suppose a bettor starts with a bankroll of 100 units. They decide they want to bet 1% of their bankroll on their bets. The first bet will therefore be 1 unit. If it wins at odds of 2.00, the bankroll will now stand at 101. Hence, their next bet will have a stake of 1.01 units, which is 1% of 101. If the first bet had lost, the bankroll would stand at 99 units and the next bet would have a stake of 0.99 units.

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Kelly staking specifically defines the percentage figure that should be apply by dividing the expect value by the decimal odds minus 1. For example, a bet at odds of 3.00 with an expect value of 10% or 0.1 would be assigned a percentage stake of 0.1 / 3 – 1 = 5%. There are those who argue Kelly staking is too risky to be considered a realistic money management strategy, since it can sometimes advise very large percentage figures. To moderate this risk, fractional Kelly is often COMBO FIXED MATCHES considered.

The skewed distribution of possible returns from percentage staking

The chart below (reproduced from my earlier article on FixedMatch.Bet) compares the distribution of possible returns for level stakes versus percentage staking for one fixed odds tips betting scenario produced via a Monte Carlo simulation. In comparison to level staking, percentage staking, with some good fortune, can see some very big bankrolls.

The distribution has what we would term positive skew. In this scenario, some profits were considerable larger than 7,000 units but for clarity I have omitted Halftime Fulltime Fixed Matches Big Odds them.

Quantifying returns HALFTIME FULLTIME FIXED MATCHES BIG ODDS

In fact, for the simplest of scenarios where the odds and stake percentage of every bet are the same, we don’t need to resort to a Monte Carlo simulation; it’s possible to produce the distribution mathematically.

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Consider the following example. A bettor places their first bet at evens with a 10% stake. If it wins, their bankroll is now 110% (or 1.1) times the original bankroll. If it loses, it will be only 90% (or 0.9) times the original bankroll. The same is true after each sequential bet. Consequently, if the bettor bets 10 times and has six winners, we can easily calculate the growth in their bankroll as follows:

Bankroll growth = 1.16 x 0.94 = 1.162 or 116.2%

The bettor could start with six winners

It doesn’t matter what order the wins and losses come in. The bettor could start with six winners and finish with four losers; or they could start with four winners and finish with six losers; or any other of the 210 total possible ways of arranging this combination of winners and losers. They will still finish with 116.2% of what they started with.

Thus, for n bets with stakes S% and w winners:

Bankroll growth = (1 + S)w(1 – S)n-w

The biggest bankroll growth in my FIXED MATCHES PREDICTIONS above was 948.8. I haven’t kept the actual win/loss figures but knowing there were 1,000 bets with odds of 2.0 and stakes of 5%, I can use this formula to determine that the actual number of winners was 581.

Furthermore, if we know the expected value (EV) for our bets, we can calculate the expected rate of bankroll growth as follows:

Expected bankroll growth = {(EV x S) +1}n

For example, if this bettor’s EV is 20% or 0.2, their expect (or mean) bankroll growth will be given by {(0.2*0.1)+1}10 = 1.0210 = 1.219 or 121.9%. Readers might observe that this is greater than the bankroll growth associate with winning six out of 10 even-money bets, which is what is implied by a 20% EV.

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This is because the bankroll growth for more wins contributes disproportionately more to the average than those for fewer wins – remember the distribution of possible returns is positively skew. Thus, whilst the most typical (median) bankroll growth in this example will be 116.2%, the expect (or mean) value will be 121.9%.

Halftime Fulltime Fixed Matches Big Odds

Assumes that HALFTIME FULLTIME FIXED MATCHES BIG ODDS

Obviously, this assumes that EV is the same for every bet, a huge oversimplification but necessary to define the mathematics.

If we rewrite (EV x S) + 1 as the expected bank growth factor, F, then we have:

Expected bankroll growth = Fn

,and thus:

n = LogF(Expected bankroll growth)

,where F is the base of the logarithm.

For fixed matches free bets with the same stake percentage and EV, the logarithm of the expected bankroll growth will be proportional to the number of bets. Similarly, the logarithm of the actual bankroll growth will also be proportional to the number wins. This is visually demonstrate for our example bettor here. The second chart is the same as the first but with a logarithmic y-axis.

You may have noticed that five wins and five losses, which for a level staker would result in a break-even return from even-money bets, results in a slight loss with percentage staking (bankroll growth = 0.951). It takes a bigger percentage growth to recover a previous loss, but if percentages for stakes stay the same, one win following one loss won’t quite recover the initial lost stake.

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Similarly, one loss following one win will lose you more than you initially won on your first bet. The same is true over 10 bets (or any number of bets). If the bankroll growth for one win and one loss is 0.99 (1.1 x 0.9), then for five wins and five losses it is 0.995 = 0.951.

The skewed distribution of returns from percentage staking is log-normal.

If the number of wins in a series of bets is proportional to the logarithm of the bankroll growth, we should expect to see a log-normal distribution of possible bankroll growth. Our PAID DAILY TIPS FIXED MATCHES 1X2 can help bettors get a good return on their investment.

A log-normal distribution is one where the logarithm of the data is normally distributed (the familiar bell-shaped curve). Below I have plotted the frequency distribution of the natural logarithm (Ln) of the 10,000 observed bankroll growths from the same Monte Carlo simulation I referred to earlier.

Instead of transforming the bankroll growth figures logarithmically, I can instead display the original figures using a logarithmic scale. The results are visually equivalent.

The average or expected bankroll growth for this Monte Carlo sample was 12.2. How does that compare to the figure calculated from first principles using the equation above? With an EV of 5% (0.05) for the 1,000 bets and the stake size 5% (or 0.05), the answer is 1.00251000 = 12.1, an excellent match. Unsurprisingly, the median bankroll growth (the centre of the distribution) was considerably lower at 3.49, with only 21.7% of bankroll growth figures higher than the expected figure of 12.2. Remember, a few very large bankrolls positively skew the mean.

Estimating the Accurate fixed matches sources

Is there a way to calculate the probability of achieving a specific bankroll growth? One can look at the chart above and make visual estimates, although given the logarithmic scale, that is no easy task. Alternatively, we can just count the number of times a bankroll finished higher than a certain threshold. In this Monte Carlo sample, for example, a bankroll finished with more than it started with (bankroll growth = 1) 78.5% of the time, and at least doubled 63.5% of the time.

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However, using Excel there is an easier method. Having calculated the natural logarithm (using the =Ln function) for all simulated bankroll growth figures, it is then possible to use the follow function:

LOGNORM.DIST(x,mean,SD,true)

where x is your chosen bankroll growth Halftime Fulltime Fixed Matches Big Odds (for example 2 for a doubling), ‘mean’ and ‘SD’ are the average and standard deviation respectively of your natural logarithm values, and ‘true’ ensures a cumulative probability.

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Using this formula, the probability of finishing with more than you had start with (x = 1) was estimated to be 78.2%, the probability of doubling your bankroll (x = 2) was 63.6% and the probability of exceeding expectation (x = 12.2) was 21.7%, almost the same figures as Halftime Fulltime Fixed Matches Big Odds from counting.

On the other hand, if your goal is truly to maximise your profits, then you will need to consider how much you are willing to risk too. To do that, we must set aside the simple EV calculation and use my Theoretical Kelly Optimization (TKO). Analysis method to find the optimal strategy – the one that maximises your percentage of expected growth (EG) for your bankroll.

This optimal strategy is the goal of the Kelly Criterion, but since that well-known formula only applies to independent bets. You have to use more complex math when analysing situations like this when you bet on both sides of a market. So how do you take this +EV opportunity and use it to optimise your EG? That is what we will figure out here.