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 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  -
FT: 14.448  20.411  65.041 
Brentford  VS  Sunderland A.F.C HT: 47.761  34.043  18.296  -
FT: 51.396  23.144  25.36 
Brighton Hove Albion  VS  Leeds United HT: 11.45  42.766  45.684  -
FT: 47.17  26.833  26.097 
Fulham  VS  Crystal Palace HT: 43.068  38.434  18.497  -
FT: 55.188  24.088  20.424 
Manchester City  VS  Coventry City HT: 94.3  3.4  -
FT: 94  2.4 
Nottingham Forest  VS  Tottenham Hotspur HT: 26.078  57.569  16.253  -
FT: 37.481  38.049  24.47 
Hull City  VS  Aston Villa HT: 87.2  12.5  -
FT: 83  16.9 
Everton  VS  Manchester United HT: 24.738  55.28  19.882  -
FT: 24.036  25.712  50.052 
Arsenal  VS  Chelsea HT: 42.839  33.88  23.382  -
FT: 62.271  21.578  16.252 
ROUND 2More..
Teams Poisson Rating Score Detail
Time W D L
VfB Stuttgart  VS  FC Köln HT: 57.224  35.037  7.74  (Half: 1 - 0)
4 - 1
FT: 77.633  14.84  7.028 
TSG Hoffenheim  VS  Borussia Dortmund HT: 36.195  51.7  12.004  -
FT: 35.019  28.079  37.002 
Bayer Leverkusen  VS  Union Berlin HT: 60.204  32.244  7.552  -
FT: 67.577  18.217  13.906 
Borussia Monchengladbach  VS  SV Elversberg HT: 17.1  82.8  -
FT: 48.153  23.18  28.568 
Werder Bremen  VS  RB Leipzig HT: 7.066  49.102  43.831  -
FT: 17.644  21.028  61.328 
SC Paderborn 07  VS  SC Freiburg HT: 50.458  38.875  10.467  -
FT: 66.807  16.846  15.747 
Schalke 04  VS  Bayern Munchen HT: 22.061  43.158  34.78  -
FT: 4.507  7.946  83.747 
Hamburger SV  VS  FSV Mainz 05 HT: 17.318  31.01  51.572  -
FT: 23.98  27.4  48.82 
Eintracht Frankfurt  VS  FC Augsburg HT: 31.693  45.782  22.425  -
FT: 45.872  23.031  31.197 
ROUND 3More..
Teams Poisson Rating Score Detail
Time W D L
Genoa  VS  Como HT: 20.25  47.949  31.7  (Half: 1 - 3)
1 - 4
FT: 16.747  20.821  62.233 
Fiorentina  VS  Torino HT: 33.882  48.095  17.924  -
FT: 53.38  29.183  17.337 
Inter Milan  VS  Napoli HT: 33.669  37.289  28.942  -
FT: 68.249  16.791  14.559 
AS Roma  VS  Atalanta HT: 64.092  31.93  3.778  -
FT: 73.707  17.217  8.977 
Frosinone  VS  Venezia HT: 14.417  69.752  15.631  -
FT: 43.27  25.6  30.93 
Parma  VS  Monza HT: 19.694  65.622  14.584  -
FT: 69.715  19.248  10.837 
Bologna  VS  Sassuolo HT: 23.495  59.668  16.837  -
FT: 24.015  30.5  45.585 
Juventus  VS  AC Milan HT: 13.544  65.963  20.393  -
FT: 41.747  30.283  27.77 
Cagliari  VS  Lecce HT: 37.468  43.303  19.428  -
FT: 37.602  29.719  32.78 
Udinese  VS  Lazio HT: 24.268  68.416  7.316  -
FT: 27.827  44.914  27.259 
ROUND 4More..
Teams Poisson Rating Score Detail
Time W D L
Real Betis  VS  Real Madrid HT: 36.556  43.082  20.361  (Half: 0 - 0)
1 - 0
FT: 29.493  32.68  37.927 
Athletic Bilbao  VS  Atletico Madrid HT: 28.905  36.218  34.877  -
FT: 34.481  24.089  41.429 
Rayo Vallecano  VS  Racing Santander HT: 100  -
FT: 64.9  35.2 
Villarreal  VS  Deportivo La Coruna HT: 76.686  14.587  8.327  -
FT: 50.889  23.844  25.267 
Valencia  VS  FC Barcelona HT: 8.788  73.513  17.599  -
FT: 13.685  19.943  66.072 
Deportivo Alavés  VS  Osasuna HT: 41.696  45.41  12.994  -
FT: 33.098  25.372  41.53 
Malaga  VS  Levante HT: 59.069  27.03  14.101  -
FT: 52.3  28.232  19.468 
RCD Espanyol  VS  Sevilla HT: 32.857  39.124  28.119  -
FT: 39.851  25.038  35.011 
Getafe  VS  Real Club Celta de Vigo SAD HT: 31.996  61.159  6.845  -
FT: 30.378  38.963  30.659 
Elche  VS  Real Sociedad HT: 29.345  34.458  36.196  -
FT: 41.034  23.197  35.669 
ROUND 3More..
Teams Poisson Rating Score Detail
Time W D L
Toulouse  VS  Lille HT: 7.89  56.258  35.951  (Half: 0 - 0)
0 - 1
FT: 11.062  27.192  61.846 
Lyon  VS  AJ Auxerre HT: 27.571  40.346  32.082  (Half: 2 - 1)
3 - 1
FT: 47.763  23.476  28.86 
Paris Saint Germain (PSG)  VS  Monaco HT: 42.174  33.671  24.154  (Half: 1 - 0)
1 - 2
FT: 65.318  17.838  16.344 
Lens  VS  Lorient HT: 24.465  58.396  17.339  -
FT: 52.684  22.755  24.361 
Le Havre AC  VS  Stade Brestois 29 HT: 40.494  43.129  16.177  -
FT: 51.876  29.535  18.489 
Nice  VS  Le Mans HT: 16.583  28.233  55.083  -
FT: 25.266  19.785  54.549 
Troyes  VS  Strasbourg HT: 8.774  37.863  53.263  -
FT: 14.869  20.972  63.859 
Angers  VS  Stade Rennais FC HT: 7.361  19.801  72.738  -
FT: 13.49  19.095  67.216 
Marseille  VS  Paris FC HT: 17.423  74.644  7.933  -
FT: 44.112  29.578  26.309 
2026-09-05More..
League Teams VS / Kick Off Poisson Rating FT Detail
W% D% L%
Austria C Atus Velden VS SK Austria Klagenfurt 50.25  22.14  27.21  VS
Czech Women's First Division Horni Herspice (w) VS FC Viktoria Plzen (w) 22.69  27.01  50.30  VS
Czech Women's First Division Sparta Praha (w) VS Slavia Praha (w) 28.40  25.95  45.55  VS
K4 Geoje Citizen VS Jungnang Chorus Mustang FC 25.94  17.28  55.68  VS
Mexico Superliga FC Juarez VS Pachuca 17.65  21.09  60.96  VS
Mexico Women's Superliga Unam Pumas (w) VS Club America (w) 11.99  17.20  70.61  VS
Australia Brisbane A-League Newmarket SFC VS AC Carina 63.69  17.53  18.28  VS
Club Friendly Match Cashmere Technical VS Fencibles United 53.09  15.68  28.24  VS
Victoria Premier League Avondale FC VS Preston Lions 35.38  32.84  31.79  VS
Korea Women's Professional Football League Changnyeong (w) VS Gyeongju FC (w) 7.90  13.10  77.99  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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