sistema per ricavare Prono under/Over

trovato in rete

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    ...solo che è in inglese e non ci capisco un tubo.
    pensate che sia possibile ricavarci qualcosa?
    magari tirarci fuori un foglio per vedere con rapidità della bontà del sistema?



    How to beat the bookies in the Over/Under market
    Step 1 – Find the average number of goals per game
    Step 2 – Calculate the probabilities
    Step 3 – Determine what odds are worth betting on

    With a large number of soccer bettors looking for more profitable markets than 1X2, where a lack of scoring or a late equaliser can turn even the best betting judgments into losing bets, here's a simple guide on how to beat the bookies in the Over/Under goals markets. A must-read for all soccer bettors.
    In comparison to most sports, scoring in soccer is a less frequent event, which makes short tournaments and knock-out games highly unpredictable and league performance the leading indicator of the true strength of a team.
    When it comes to betting, it is the average number of goals scored per match that both bookmakers and bettors look at when assessing the odds for the Over/Under markets.

    So, if you find Pinnacle offering the Over 2.5 Goals for a Premier League match at 1.925 and another bookmaker offering the same bet at 1.80, you know that you are better off at Pinnacle, but how do you know if it is worthwhile betting your money on this market to begin with?
    Here's a simple, step by step guide on how to calculate the probabilities of expected number of goals for a match and how to convert them into odds, so that you know what odds to bet your money on and what odds to avoid.
    Step 1 – Find the average number of goals per game
    The fact that Philippines’ United Football League has an average of as high as 5.75 goals per game and Spain’s Tercera Division an average of as low as 1.71 (according to soccervista) highlights how broad the range of average number of goals per game can be depending on a league. Therefore, the best place to start is by finding the average number of goals per game for the two sides of the match you are interested in betting on.
    This is an easy statistical figure to find online. To give you a better idea about differences in the average goals per game across the major European leagues, Premier League matches have an average of 2.4, Italy’s Serie A whopping 3.21 and Spain’s La Liga 2.85 goals per game.
    Step 2 – Calculate the probabilities
    The random nature of goal scoring is the reason that allows statistics to follow a Poisson distribution as a simple predictive model for Over/Under betting. Let's see what that means in practice.
    In his book “Taking Chances”, John Haigh drafted a table that calculates the probabilities of a team scoring 0, 1, 2, 3 and 4 or more goals based on their average number of goals per game.

    Goals 0 1 2 3 4 or more
    Average = 0.8 45% 36% 14% 4% 1%
    Average = 1.2 30% 36% 22% 9% 3%
    Average = 1.6 20% 32% 26% 14% 8%
    Average = 2.00 14% 27% 27% 18% 14%


    In a match where the home side has an average expectancy of 1.2 goals and the away side 0.8, it is easy to determine the probabilities for the Under 2.5 goals by using the above table.
    First we need to determine the correct scores that will lead to a winning Under 2.5 bet (0-0, 1-0, 0-1. 1-1, 2-0, 0-2), find the respective probabilities for each team from the above table and then calculate the probabilities of each score by multiplying.


    Exact Score
    Probabilities of home side (1.2)
    to score the number
    of goals indicated
    Probabilities of away side (0.8)
    to score the number
    of goals indicated
    Probability
    of exact score
    0-0 30%
    45%
    (30%) x (45%) = 13.5%
    1-0
    36%
    45%
    (36%) x (45%) = 16.2%
    0-1
    30%
    36%
    (30%) x (36%) = 10.8%
    1-1
    36%
    36%
    (36%) x (36%) = 12.96%

    Since we know the probabilities of each potential score that can lead to Under 2.5, we add them to get the probability of the match ending in Under 2.5 Goals and, therefore, a winning Under 2.5 bet. In the above example, that would be:

    13.5% + 16.2% + 10.8% + 12.96% + 9.9% +4.2% = 67.5

    Step 3 – Determine what odds are worth betting on
    Now that we have established the statistical probability of the match to end in less than 2.5 goals, the only thing that is left is to determine is what odds you should accept.
    To convert probability into decimal odds, use the following simple formula:

    Decimal odds = 100/ probability

    In the above example, the probability of 67.56 corresponds to: 100/67.56 = 1.48
    What that means is that you should only put your money on the Under 2.5 goals, if you find a bookmaker offering odds higher than 1.48. Does that mean that you will have a formula that guarantees a winning bet? The short answer is no. But what you will have, is an easy to apply betting strategy with positive expected value, that guarantees long-term profits, when you aggregate your losses and profits in the long-term.
    So, do your research ahead of the weekend, find value bets and sit back and enjoy the action, knowing that you have secured yourself long-term
     
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    CITAZIONE (guinness908 @ 10/11/2017, 18:49) 
    ...solo che è in inglese e non ci capisco un tubo.
    pensate che sia possibile ricavarci qualcosa?

    Ciao guinness908....................buttalo sul traduttore google!

    .................Ma il sito?
     
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    Tutto questo ti dice che calcolando le probabilità a livello statistico che una partita possa finire under o over (esempio è su una partita under) sei in grado di calcolare , in base alla statistica, la quota a cui dovrebbe essere quel mercato. Quindi ti dice di trovare la value sulla quota andando a bettare su un book che to offre la quota più alta di quella relativa alla quota statistica
    Ovviamente ti devi trovare per ogni squadra sia casa che trasferta la loro media gol e calcolare in base a quella tabella (che immagino vada aggiornata di continuo)
    Credo che tutto questo già lo faccia in qualche modo poisson
     
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    CITAZIONE (Dany.bet @ 10/11/2017, 20:06) 
    Ciao guinness908....................buttalo sul traduttore google!

    .................Ma il sito?

    Il sito e PINNACLE.COM
     
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    Dice semplicemente che se trovi un book che ti offre una quota più alta della quota calcolata tramite

    100 / probabilità (calcolata con distribuzione Poisson)

    è conveniente prendere quella quota.
     
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    CITAZIONE (silvanella @ 10/11/2017, 22:01) 
    Il sito e PINNACLE.COM

    ;)


    ................anke secondo me.........è cm dice zzsmoke!
     
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    www.filedropper.com/guinness908

    per me sicuramente un ciarlatano, di ogni sua equazione applicata non azzecca manco la metà dei risultati pronosticati, se parliamo di calcio.
    Ma al solito non tutto è da buttare via, diciamo che alla sue tabella/teroia impostiamo alcuni parametri in più, tipo, anzichè la media gol totale come indica lui nel libro, inserisci la media gol delle ultime 5 partite è già avrai un 10% scarso di riuscita in più rispetto allo schifo che lui ti invita a pronosticare. :D Oppure la media gol della squadra per la media campionato etc etc.....ma hai sempre l impressione che fai pronostici più a culo che per ragione.
    poi prova tu
    File Allegato
    guinness908.xlsx
    (Number of downloads: 173)

     
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    Concordo, non azzecca nulla impostato cosi. Pochissime percentuali prese anche impostato ultime 5 o 10 partite.
     
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7 replies since 10/11/2017, 18:49   947 views
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