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MIYI Poisson Model Predicts Soccer Scores Introduction

The Poisson distribution is a probability distribution that is widely used in mathematics and it plays an important role in predicting the scores of soccer matches.

The basic idea of Poisson distribution is that in a certain probability space, the probability of an event occurring is proportional to the number of times the event occurs. In soccer, each team has the possibility of winning and losing, no matter how many or how complex the factors affecting the game, the biggest impact on the outcome of the game is still the strength of the team. The strength of the team is ultimately reflected in the performance, that is, the number of goals scored; a game time the goals of the two teams can be regarded as a "goal scoring event", so you can use the Poisson distribution to predict the probability of the score of the game and the probability of winning or losing.

MIYI Poisson Football Score Prediction Model provides a dedicated Poisson distribution soccer score prediction model based on historical data, machine learning and other big data technologies, using advanced algorithms and theoretical foundations, as well as a large amount of real-world data for training and optimization to improve prediction accuracy.

In addition, www.mysoccers.cn has also developed a WeChat applet with Poisson distribution formula for soccer match score prediction. Users can select the team name of a soccer match on both the website and the applet, and then predict the probability of winning or losing the match and the score.

The advantage of MIYI www.mysoccers.cn is that it combines the Poisson distribution probability formula with soccer matches, providing users with a new method of predicting the score of soccer matches. In addition, it also provides abundant historical and real-time data as well as statistics, which users can choose and use according to their needs.

MIYI Poisson Soccer www.mysoccers.cn aims to be a professional soccer match score prediction platform. In the future, we will study more about the relationship between Poisson distribution probability formula and soccer matches to provide users with more and more efficient and accurate prediction models. With the continuous development and progress of technology, MIYI www.mysoccers.cn will also continue to improve and perfect, to provide users with more high-quality service and support.

The statistics, calculations and tools used by MIYI www.mysoccers.cn are detailed in the "How To Use " section.

Premier League
Bundesliga
Serie A
LaLiga
Ligue 1
Today
ROUND 31More..
Teams Poisson Rating Score Detail
Time W D L
Wolves  VS  Arsenal HT: 12.037  39.597  48.466  2 - 2
(Half: 0 - 1)
FT: 5.506  14.507  79.588 
Bournemouth AFC  VS  Manchester United HT: 24.951  45.061  29.788  2 - 2
(Half: 0 - 0)
FT: 28.507  22.827  48.466 
Brighton Hove Albion  VS  Liverpool HT: 31.175  62.707  6.218  -
FT: 37.491  27.232  34.977 
Fulham  VS  Burnley HT: 60.864  29.736  9.4  -
FT: 63.922  18.444  17.234 
Manchester City  VS  Crystal Palace HT: 79.018  18.531  2.251  -
FT: 71.706  17.578  10.317 
Everton  VS  Chelsea HT: 28.862  37.237  33.901  -
FT: 24.402  21.858  53.639 
Leeds United  VS  Brentford HT: 37.984  43.812  18.304  -
FT: 39.69  22.122  38.288 
Newcastle United  VS  Sunderland A.F.C HT: 60.396  35.047  4.457  -
FT: 74.419  16.043  9.139 
Aston Villa  VS  West Ham United HT: 37.293  38.683  23.824  -
FT: 62.697  20.085  17.118 
Tottenham Hotspur  VS  Nottingham Forest HT: 39.341  38.417  22.042  -
FT: 27.642  21.449  50.909 
ROUND 27More..
Teams Poisson Rating Score Detail
Time W D L
RB Leipzig  VS  TSG Hoffenheim HT: 34.717  40.627  24.656  5 - 0
(Half: 4 - 0)
FT: 34.053  20.224  45.623 
Bayern Munchen  VS  Union Berlin HT: 72.329  22.679  5.092  -
FT: 76.504  13.855  8.841 
FC Köln  VS  Borussia Monchengladbach HT: 34.734  44.937  20.229  -
FT: 39.687  24.074  36.039 
1. FC Heidenheim  VS  Bayer Leverkusen HT: 12.393  20.435  67.273  -
FT: 12.257  16.382  70.961 
VfL Wolfsburg  VS  Werder Bremen HT: 22.299  45.54  32.062  -
FT: 34.05  23.601  42.449 
Borussia Dortmund  VS  Hamburger SV HT: 58.416  40.08  1.604  -
FT: 71.906  18.039  9.955 
FSV Mainz 05  VS  Eintracht Frankfurt HT: 36.121  36.262  27.517  -
FT: 51.276  21.807  27.017 
FC St. Pauli  VS  SC Freiburg HT: 10.636  65.829  23.635  -
FT: 38.219  30.956  30.625 
FC Augsburg  VS  VfB Stuttgart HT: 12.755  31.644  55.7  -
FT: 18.629  21.291  60.181 
ROUND 30More..
Teams Poisson Rating Score Detail
Time W D L
Cagliari  VS  Napoli HT: 9.975  43.701  46.224  0 - 1
(Half: 0 - 1)
FT: 33.007  27.069  39.923 
Genoa  VS  Udinese HT: 41.175  32.397  26.528  0 - 2
(Half: 0 - 0)
FT: 60.599  19.089  20.212 
Parma  VS  Cremonese HT: 33.793  49.643  16.464  -
FT: 40.168  34.692  25.04 
AC Milan  VS  Torino HT: 48.374  46.215  5.411  -
FT: 63.563  25.256  11.181 
Juventus  VS  Sassuolo HT: 37.659  40.942  21.299  -
FT: 61.302  21.248  17.25 
Como  VS  Pisa HT: 58.342  26.281  15.277  -
FT: 74.753  15.593  9.154 
Atalanta  VS  Verona HT: 54.831  35.186  10.184  -
FT: 72.228  18.165  9.308 
Bologna  VS  Lazio HT: 3.246  84.679  12.175  -
FT: 19.179  45.603  35.318 
AS Roma  VS  Lecce HT: 40.213  55.351  4.336  -
FT: 71.224  21.719  7.056 
Fiorentina  VS  Inter Milan HT: 6.095  41.092  52.713  -
FT: 5.811  22.913  71.276 
ROUND 29More..
Teams Poisson Rating Score Detail
Time W D L
Villarreal  VS  Real Sociedad HT: 47.961  35.597  16.542  3 - 1
(Half: 3 - 0)
FT: 47.733  23.669  28.497 
Elche  VS  Mallorca HT: 38.046  40.205  21.849  -
FT: 57.208  23.151  19.342 
RCD Espanyol  VS  Getafe HT: 23.266  60.342  16.392  -
FT: 24.768  36.252  39.08 
Levante  VS  Real Oviedo HT: 68.7  31.3  -
FT: 40.835  27.986  31.378 
Osasuna  VS  Girona HT: 22.71  44.118  33.171  -
FT: 36.313  23.706  40.081 
Sevilla  VS  Valencia HT: 51.801  41.859  6.34  -
FT: 37.069  31.186  31.645 
FC Barcelona  VS  Rayo Vallecano HT: 67.395  25.235  7.17  -
FT: 88.319  7.991  2.39 
Real Club Celta de Vigo SAD  VS  Deportivo Alavés HT: 24.022  50.13  25.947  -
FT: 64.333  21.455  14.113 
Athletic Bilbao  VS  Real Betis HT: 23.112  57.745  19.043  -
FT: 30.453  29.317  40.431 
Real Madrid  VS  Atletico Madrid HT: 30.056  46.556  23.488  -
FT: 51.111  28.711  20.278 
ROUND 27More..
Teams Poisson Rating Score Detail
Time W D L
Lens  VS  Angers HT: 35.468  55.739  8.893  5 - 1
(Half: 3 - 0)
FT: 78.264  17.12  4.517 
Toulouse  VS  Lorient HT: 33.519  57.23  9.151  -
FT: 52.433  27.752  19.815 
AJ Auxerre  VS  Stade Brestois 29 HT: 14.914  48.889  36.197  -
FT: 28.085  29.956  41.958 
Nice  VS  Paris Saint Germain (PSG) HT: 10.344  27.948  61.607  -
FT: 13.599  17.113  68.888 
Lyon  VS  Monaco HT: 43.616  48.612  7.672  -
FT: 58.579  22.746  18.575 
Marseille  VS  Lille HT: 23.979  55.13  20.891  -
FT: 58.078  21.646  19.977 
Paris FC  VS  Le Havre AC HT: 33.519  57.23  9.151  -
FT: 49.917  32.015  17.868 
Stade Rennais FC  VS  Metz HT: 68.347  22.92  8.633  -
FT: 83.742  8.131  4.528 
Nantes  VS  Strasbourg HT: 20.726  30.701  48.373  -
FT: 18.718  20.408  60.774 
2026-03-22More..
League Teams VS / Kick Off Poisson Rating FT Detail
W% D% L%
Premier League Everton VS Chelsea 24.40  21.86  53.64  VS
Bundesliga Borussia Dortmund VS Hamburger SV 71.91  18.04  9.96  VS
Bosnia and Herzegovina First Division Borac Banja Luka VS Radnik Bijeljina 89.39  4.16  1.24  VS
Serbia Super League Mladost Lucani VS Partizan Belgrade 22.30  22.41  55.19  VS
Russian Premier League Baltika Kaliningrad VS FK Sochi 75.70  17.16  6.94  VS
LaLiga Levante VS Real Oviedo 40.84  27.99  31.38  VS
LaLiga Osasuna VS Girona 36.31  23.71  40.08  VS
Spanish Second Division Cadiz VS Malaga 18.03  22.48  59.39  VS
Spain Real Club de Fútbol Second Division SD Gernika VS Naxara 44.84  32.81  22.35  VS
Real Club de Fútbol Primera División Antequera CF VS Villarreal B 10.56  21.06  68.18  VS
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This tutorial focuses on how Vip users can use the site. Our Poisson probability is based on the number of goals scored in the team's recent 10 home/away historical matches as a basis, the algorithm calculates the xG of the game, and then the Poisson distribution formula calculates the specific number of goals scored, the score, and the probability of winning or losing.

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