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
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Ligue 1
Today
ROUND 3More..
Teams Poisson Rating Score Detail
Time W D L
Ipswich Town  VS  Liverpool HT: 14.332  37.929  47.738  (Half: 0 - 2)
0 - 2
FT: 5.142  9.339  83.119 
Newcastle United  VS  Bournemouth AFC HT: 14.466  36.131  49.403  (Half: 1 - 2)
2 - 2
FT: 14.448  20.411  65.041 
Brentford  VS  Sunderland A.F.C HT: 47.761  34.043  18.296  (Half: 0 - 0)
1 - 1
FT: 51.396  23.144  25.36 
Brighton Hove Albion  VS  Leeds United HT: 11.45  42.766  45.684  (Half: 0 - 1)
1 - 1
FT: 47.17  26.833  26.097 
Fulham  VS  Crystal Palace HT: 43.068  38.434  18.497  (Half: 2 - 1)
2 - 3
FT: 55.188  24.088  20.424 
Manchester City  VS  Coventry City HT: 94.3  3.4  (Half: 1 - 0)
1 - 0
FT: 94  2.4 
Nottingham Forest  VS  Tottenham Hotspur HT: 26.078  57.569  16.253  (Half: 0 - 0)
0 - 0
FT: 37.481  38.049  24.47 
Hull City  VS  Aston Villa HT: 87.2  12.5  (Half: 0 - 0)
0 - 0
FT: 83  16.9 
Everton  VS  Manchester United HT: 24.738  55.28  19.882  (Half: 0 - 0)
2 - 2
FT: 24.036  25.712  50.052 
Arsenal  VS  Chelsea HT: 42.839  33.88  23.382  (Half: 1 - 1)
2 - 1
FT: 62.271  21.578  16.252 
ROUND 3More..
Teams Poisson Rating Score Detail
Time W D L
Union Berlin  VS  Schalke 04 HT: 26.329  50.147  23.524  (Half: 0 - 1)
1 - 3
FT: 58.097  22.692  18.91 
Borussia Dortmund  VS  SC Paderborn 07 HT: 100  -
FT: 100 
TSG Hoffenheim  VS  VfB Stuttgart HT: 43.722  33.548  22.73  -
FT: 41.347  20.311  38.242 
SC Freiburg  VS  Borussia Monchengladbach HT: 66.99  29.43  3.58  -
FT: 73.822  17.349  8.629 
FC Augsburg  VS  Bayer Leverkusen HT: 27.297  34.389  38.215  -
FT: 40.966  24.196  34.838 
FSV Mainz 05  VS  Eintracht Frankfurt HT: 47.258  37.992  14.55  -
FT: 40.66  23.417  36.023 
FC Köln  VS  Werder Bremen HT: 29.609  46.328  23.963  -
FT: 49.673  25.071  25.256 
RB Leipzig  VS  Hamburger SV HT: 55.954  38.02  5.927  -
FT: 56.488  22.789  20.423 
SV Elversberg  VS  Bayern Munchen HT: 79.6  20.4  -
FT: 15.026  13.463  68.714 
ROUND 4More..
Teams Poisson Rating Score Detail
Time W D L
Venezia  VS  Fiorentina HT: 14.851  59.711  25.538  (Half: 1 - 2)
2 - 4
FT: 26.418  30.55  42.832 
Genoa  VS  Frosinone HT: 32.614  36.642  30.744  -
FT: 34.096  23.521  42.282 
Lazio  VS  AC Milan HT: 9.805  49.36  40.735  -
FT: 18.93  24.259  56.611 
Atalanta  VS  Cagliari HT: 33.956  59.498  6.446  -
FT: 70.854  20.674  8.372 
Lecce  VS  Monza HT: 34.633  42.392  22.875  -
FT: 52.255  26.44  21.404 
Napoli  VS  Bologna HT: 17.257  32.728  50.015  -
FT: 42.898  23.713  33.389 
Sassuolo  VS  Juventus HT: 12.77  36.356  50.974  -
FT: 31.697  24.721  43.382 
Como  VS  Parma HT: 47.673  44.261  7.966  -
FT: 81.96  12.876  4.664 
Torino  VS  AS Roma HT: 9.441  40.055  50.504  -
FT: 38.689  20.928  40.083 
Inter Milan  VS  Udinese HT: 31.415  35.831  32.454  -
FT: 62.513  16.461  20.027 
ROUND 5More..
Teams Poisson Rating Score Detail
Time W D L
Sevilla  VS  Valencia HT: 13.326  32.72  53.954  (Half: 0 - 0)
1 - 0
FT: 24.979  28.667  46.454 
Racing Santander  VS  Deportivo Alavés HT: 73.797  14.227  11.074  -
FT: 39.037  17.938  41.928 
Osasuna  VS  RCD Espanyol HT: 19.209  57.414  23.277  -
FT: 51.106  25.1  23.794 
Athletic Bilbao  VS  Elche HT: 45.463  42.043  12.493  -
FT: 54.019  23.073  22.808 
Real Madrid  VS  Rayo Vallecano HT: 72.229  19.796  7.875  -
FT: 76.525  13.457  8.92 
Real Club Celta de Vigo SAD  VS  Malaga HT: 82.5  17.6  -
FT: 91.6 
Levante  VS  FC Barcelona HT: 14.291  39.582  46.227  -
FT: 22.431  22.961  54.508 
Getafe  VS  Deportivo La Coruna HT: 51.699  35.478  12.823  -
FT: 30.561  27.39  42.049 
Real Sociedad  VS  Atletico Madrid HT: 37.197  26.426  36.276  -
FT: 54.672  18.191  26.337 
Villarreal  VS  Real Betis HT: 75.756  15.332  8.711  -
FT: 61.312  16.652  21.235 
ROUND 4More..
Teams Poisson Rating Score Detail
Time W D L
Stade Rennais FC  VS  Marseille HT: 47.389  37.825  14.686  (Half: 0 - 0)
1 - 0
FT: 65.876  20.12  13.905 
Strasbourg  VS  Monaco HT: 34.996  30.733  34.271  -
FT: 35.726  20.303  43.671 
AJ Auxerre  VS  Nice HT: 33.298  47.319  19.383  -
FT: 48.446  27.608  23.946 
Le Havre AC  VS  Angers HT: 43.896  49.77  6.334  -
FT: 45.555  31.078  23.367 
Lorient  VS  Toulouse HT: 28.016  32.184  39.9  -
FT: 44.134  25.166  30.601 
Paris FC  VS  Lyon HT: 23.723  41.171  35.106  -
FT: 39.092  25.084  35.624 
Lille  VS  Troyes HT: 27.467  53.977  18.557  -
FT: 58.674  24.947  16.379 
Le Mans  VS  Lens HT: 40.719  29.735  29.446  -
FT: 26.84  18.043  54.418 
Stade Brestois 29  VS  Paris Saint Germain (PSG) HT: 32.833  38.553  28.614  -
FT: 24.229  23.187  52.585 
2026-09-12More..
League Teams VS / Kick Off Poisson Rating FT Detail
W% D% L%
Czech Women's First Division Banik Ostrava (w) VS Horni Herspice (w) 27.21  28.35  44.14  VS
Czech Women's First Division Slavia Praha (w) VS Slovan Liberec (w) 82.71  2.77  1.02  VS
Oceania U16 Cook Islands U16 (W) VS New Zealand U16 w 0.22  0.74  62.74  VS
Mexico Superliga CF Atlante VS Pachuca 17.30  42.77  39.94  VS
Mexico Superliga Club Tijuana VS Queretaro FC 54.75  30.34  14.71  VS
Japan Women's Professional Football League (A) NGU Nagoya (w) VS Sfida Setagaya FC 65.43  20.47  14.01  VS
Japan Women's Professional Football League (A) Nittaidai SMG Yokohama VS Viamaterras Miyazaki (w) 13.25  17.22  69.02  VS
Australia Victorian Women's Super League Essendon Royals (W) VS Avondale FC (w) 52.49  19.19  27.92  VS
Australia Western Premier League Armadale SC VS Joondalup City 33.99  19.82  45.78  VS
Australia Western Premier League UWA-Nedlands FC VS Mandurah City 80.90  0.40  0.00  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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