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Fixed Match HT FT

Fixed Match HT FT

Fixed Match HT FT

(IMPORTANT: Tips are singles)

Date: 13.11.2022     Day: Sunday

League: FRANCE Ligue 1
Match: Lille  vs  Angers
Tip: Home Win
Odds: 1.40    Fulltime ?:?


Date: 13.11.2022     Day: Sunday

League: ITALY Serie B
Match: Genoa  vs  Como

Tip: Home win
Odds: 1.50     Fulltime ?:?


Date: 13.11.2022     Day: Sunday

League: GREECE Super League
Match: Panathinaikos  vs  Atromitos
Tip: Home win
Odds: 1.40     Fulltime ?:?


Date: 13.11.2022     Day: Sunday

League: NETHERLANDS Eredivisie
Match: Feyenoord  vs  Excelsior
Tip: Over 2.5 goals
Odds: 1.35    Fulltime ?:?


Date: 13.11.2022     Day: Sunday

League: PORTUGAL Liga Portugal
Match: Benfica  vs  Gil Vicente
Tip: Home win / Home win
Odds: 1.55     Halftime ?:?  /  Fulltime ?:?

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Fixed Match HT FT


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Date: 17.09.2022     Day: Saturday

League: ENGLAND Premier League
Match: Tottenham  vs  Leicester
Odds: 1.55     Fulltime 6:2


Date: 17.09.2022     Day: Saturday

League: SPAIN La Liga
Match: Barcelona  vs  Elche
Odds: 1.60    Halftime 2:0   Fulltime 3:0


Date: 17.09.2022     Day: Saturday

League: SCOTLAND Premiership
Match: Rangers  vs  Dundee Utd
Odds: 1.50  Halftime 1:0  / Fulltime 2:1


Date: 17.09.2022     Day: Saturday

GERMANY Bundesliga
Match: Augsburg  vs Bayern Munich
Odds: 1.50    Fulltime ?:?

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Poisson Distribution, coupled with historical data, provides a simple and reliable method for calculating the most likely score in a FIXED MATCHES DRAW TODAY which can be applied to betting matches. This simple walk-through shows how to calculate the necessary Attack/Defence Strength measures. In no time you’ll be predicting soccer scores using the Poisson Distribution.

Poisson Distribution is a mathematical concept for translating mean averages into a probability for variable outcomes across a distribution. For example, if we know Manchester City average 1.7 goals per game, so by putting the Poisson Distribution formula tells us that this average equates to Manchester City scoring 0 goals 18.3% of the time, 1 goal 31% of the time, 2 goals 26.4% of the time and 3 goals 15% of the time.

Poisson Distribution – FIXED MATCHES DRAW TODAY

Before we can use Poisson to calculate the most likely score-line of a match, we need to calculate the average number of goals each team is likely to correct score in that fixed match. This can be calculated by determining the “Attack Strength” and “Defence Strength” for each team and comparing them.

Selecting a representative data range is vital when calculating Attack Strength and Defence Strength – too long and the data will not be relevant for the team’s current strength, while too short may allow outliers to skew the data. The 38 rigged games played by each team in the 2015/16 EPL season will provide a sufficient sample size to apply the Poisson Distribution.

How to calculate Attack Strength

The first step in calculating Attack Strength based upon last season’s agreed results is to determine the average number of goals scored per team, per home game, and per away game.

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Calculate this by taking the total number of goals scored last season and dividing it by the number of games played:

  • Season total goals scored at home / number of games (in season)
  • Season total goals scored away / number of games (in season)

In 2015/16 English Premier League season, there were 567/380 at home and 459/380 away, equalling an average of 1.492 goals per game at home and 1.207 away.

  • Average number of goals scored at home: 1.492
  • Average number of goals scored away: 1.207

The ratio of a team’s average and the league average is what constitutes “Attack Strength”.

How to calculate Defence Strength


We’ll also need the average number of goals an average team concedes. This is simply the inverse of the above numbers (as the number of goals a home team scores will equal the FIXED MATCHES DRAW TODAY that an away team concedes):

  • Average number of goals conceded at home: 1.207
  • Average number of goals conceded away from home: 1.492

The ratio of a team’s average and the league average is what constitutes “Defence Strength”.

We can now use the numbers above to calculate the Attack Strength and Defence Strength of both.


Calculate Tottenham’s Attack Strength:

  • Step – 1: Take the number of goals scored at home last season by the FIXED MATCHES DRAW TODAY (Tottenham: 35) and divide by the number of home games (35/19): 1.842.
  • Step – 2: Divide this value by the season’s average home goals scored per game (1.842/1.492) to get an “Attack Strength” of 1.235.
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Calculate Everton’s Defence Strength:

  • Step – 1: Take the number of goals conceded away from home last season by the away team (Everton: 25) and divide by the number of away games (25/19): 1.315.
  • Step – 2: Divide this by the season’s average goals conceded by an away team per game (1.315/1.492) to get a “Defence Strength” of 0.881.

We can now use the following formula to calculate the likely number of goals Tottenham might score (this is done by multiplying Tottenham’s Attack Strength by Everton’s Defence Strength and the average number of home goals in the Premier League):

Predicting Everton’s goals

To calculate the number of goals Everton might FIXED MATCHES DRAW TODAY, simply use the above formulas but replace the average number of home goals with the average number of away goals.

In the same way we predicted the number of goals Tottenham will score. We can calculate the likely number of goals Everton might score (done by multiplying Everton’s Attack Strength by Tottenham’s Defence Strength and the average number of away goals in the Premier League).





Date: 03.09.2022     Day: Saturday

League: NETHERLANDS Eredivisie
Match: Ajax  vs  Cambuur
Tip: 1/1 (Home win / Home win) & Over 2.5 goals
Odds: 1.60   Halftime 2:0     Fulltime 4:0


Date: 03.09.2022     Day: Saturday

League: ENGLAND Championship
Match: Norwich  vs  Coventry
Tip: Home WIN
Odds: 1.70  Fulltime 3:0


Date: 03.09.2022     Day: Saturday

League: IGERMANY Bundesliga
Match: Union Berlin  vs Bayern Munich
Tip: Over 2.5 goals
Odds: 1.45    Result: 1:1


Date: 03.09.2022     Day: Saturday

League: ICELAND Lengjudeildin
Match: Selfoss  vs  Grindavik
Tip: Over 2.5 goals
Odds: 1.45    Result: 5:3

Daily free tips   [email protected]
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With the 1/2 2/1 GENUINE FIXED MATCHES Both Teams To Score (often referred to as BTTS) has become an increasingly popular market in soccer betting, primarily because it is a straightforward bet reliant on a simple outcome. In Europe’s five major soccer leagues, 52.47% of matches have witnessed both teams score during the last five seasons. So is analysing this market as simple as the fact that both teams score in matches approximately half of the time? Read on to find out.

What is a Both Teams To Score (BTTS) bet?

A Both Teams To Score (BTTS) bet is a bet that both teams will score in a soccer match. For instance, if the match finishes 1-1, 3-2 or 5-5 then the bet has won, but if it finishes 0-0, 1-0 or 3-0 then it has lost.

A glance at the stat mentioned in the introduction may give off the impression that a Both Teams To Score bet is comparable to a coin toss, or anything with an approximate 50/50 outcome. However, this type of bet could and should be inform by factors including the two teams playing, their recent stats and previous results and occasionally even when the match is taking place.

Both Teams To Score stats 1/2 2/1 GENUINE FIXED MATCHES

Here are the percentage of matches in Europe’s five major soccer leagues in which both teams scored during the last five seasons:

In the 25 individual seasons covered during this period, teams have recorded widely varying BTTS stats. For instance, in the 2018-19 Bundesliga both teams scored in 82.35% of Hoffenheim and Werder Bremen’s matches, whereas in the 2016-17 Ligue 1 season, only 23.68% of Nancy’s fixtures involved both teams scoring.

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However, when a team’s stats are analysed over a longer period of time, it becomes clear that they will produce similar numbers of matches in which both teams scored. Here are the stats for the 13 teams that have competed in each of the last five Premier League seasons:

Of these 13 teams, all but two have recorded an average percentage of matches in which both teams scored within a 5% margin of the overall Premier League average of 51.25%. The average for these 13 teams is in fact 53.05%, equating to 20.15 of 38 league matches.

Based on this, it seems that perennial English top flight teams can be relied upon to produce around 18 to 22 league matches per season in which both teams score. However, the key information for bettors are reliable match statistics capable of indicating when teams are more likely to both score and concede in a game.


How to inform Both Teams To 1/2 2/1 GENUINE FIXED MATCHES Score betting

The following table uses Spearman’s rank correlation to assess the relationship between both teams scoring and various stats for the last five seasons in the Premier League:

Perhaps unsurprisingly, the statistic with the greatest positive correlation to both teams scoring is the number of goals a team’s matches have featured.

Conversely, if a team and/or their opponent are particularly adept at keeping clean sheets and and/or struggling to score goals, then naturally this suggests that a fixture between the two sides will be less likely than average to witness both scoring 1/2 2/1 GENUINE FIXED MATCHES.

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Notably, a team’s goal difference and league position prove largely irrelevant at indicating whether both teams will score in their matches. Best site for following results is flashscore.com

Specifically focusing on the 2018-19 Premier League, there was only a minimal impact on the likelihood of both teams scoring in a match based on whether 1/2 2/1 GENUINE FIXED MATCHES in a team’s previous game. At least one team failed to score in 48.68% of matches that season, and if both teams had not scored in a team’s previous match, then at least one didn’t score in the team’s next match 51.38% of the time.


If both teams had scored in a team’s previous fixture, then they did so again in the team’s next match 54.62% of the time, slightly higher than the overall league total of 51.32%. This illustrates that studying the outcome of a previous match can somewhat inform your bet, although naturally some teams will adhere to this trend more closely than others.

Notably, despite the 51.32% league total, nine 1/2 2/1 GENUINE FIXED MATCHES had a longer run of at least one team not scoring during the season than their longest streak of both teams scoring, whereas the inverse only applied to six (five had an equal longest run on the two counts).

Top Matches Fixed Sites

Top Matches Fixed Sites

Top Matches Fixed Sites

Date: 19.08.2022     Day: Friday

League: DENMARK 1st Division
Match: Lyngby  vs  FC Copenhagen
Tip: Over 2.5 goals
Odds: 1.70    Result: 0:3

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Every bettor wants to understand the key the way to make Top Matches Fixed Sites when depending on football. If you’re trying to find professional punter tips, then you found the proper place. The fixed matches bets won’t be a drag for you anymore after reading this betting guide.

In order to master the art of football prediction, we might got to learn a touch of mathematics, to be more precise, the Poisson distribution . it’s a mathematical concept that helps to stipulate the possible outcomes converting the historical mean data. Let’s use an easy example to form it simpler . Assume that Team A scores 1.7 goals per match. By putting this data into the distribution formula, we’ll get the subsequent results:

-Team A scores 0 goals 18.3% of the time
-First Team scores 1 goal 31% of the time
-Team A scores 2 goals 26.4% of the time
-Team A scores 3 goals 15% of the time

How does Top Matches Fixed Sites work?

First things first

Before you’ll predict the score, you’ve got to form a few of additional Top Matches Fixed Sites. First of all, we’ve to seek out out the typical number of goals each team scores. For that, we might need the Attack Strength and Top Matches Fixed Sites.

This data plays an important role in our calculations. If our data range would be too long, the results won’t be satisfying, and if too short, it could happen that some data would be beyond our designated rage. you usually can get this data from the seasonal statistics of any football league/competition. Interested in football betting? inspect our Top Matches Fixed Sites. Top Matches Fixed Sites.

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Good news, you don’t need to do far more calculations here, as they need already been done. All you would like to try to to it reverse the previous results because the goals a home team scores are conceded by the away team and the other way around . Therefore, our results will look the subsequent way:

Average number of goals conceded at home: 1.207

Average number of goals conceded faraway from home: 1.492

Therefore, the Top Matches Fixed Sites is that the ratio between the league’s and therefore the team’s averages.


Once you gathered all the above information, you’ll attempt to predict the goals. Just apply these formulas following these easy steps:

Step 1 – you’ve got to require the entire home goals scored by a team and divide it by the entire number of home games.

Step 2 – Divide the solution you get by the league’s average home goals divided by the entire home games.


-Team’s home goals – THG

-Team’s home matches – THM

-League’s home goals – LHG

-League’s home matches – LHM

(THG/THM) / (LHG/LHM) = Attack Strength

Step 3 – You’ve got to require the entire goals conceded by a team get through and divide it by the entire number of away games.

Step 4 – Divide the solution you get by the league’s average goals conceded get through divided by the entire away games.

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Date: 09.07.2022     Day: Saturday

League: NORWAY Eliteserien
Match: Bodo/Glimt – Sarpsborg 08
Tip: Over 2.5 goals 
Odds: 1.50    Result: 4:1

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Betting has always gone side-by-side with soccer. The fans of this sport are also big fans of placing bets, which is why they are always eager to wager on their favourite teams, players, or selected games. In the past couple of years, a new way of placing bets has emerged. And it became very popular among the people.

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