Our cutting-edge machine learning system employs a sophisticated algorithm to analyze a comprehensive array of performance metrics and statistical indicators. The result is a set of highly accurate probability distributions for various match outcomes and betting markets.
Monday – 20/01/2025
England – Premier League
1
X
2
Chelsea Wolvers
45%
25%
30%
Italy – Serie A
1
X
2
Como Udinese
30%
30%
40%
Spain – La Liga
1
X
2
Villarreal Mallorca
40%
40%
20%
Spain – Segunda Division
1
X
2
Mirandes Malaga
30%
30%
40%
France – Ligue 2
1
X
2
Troyes Annecy
50%
30%
20%
Portugal – Primeira Liga
1
X
2
Boavista Casa Pia
20%
20%
60%
Turkiye – Super Lig
1
X
2
Trabzonspor Sivasspor
40%
20%
40%
Tuesday – 21/01/2025
Champions League
1
X
2
Monaco Aston Villa
25%
25%
50%
Atalanta Sturm Graz
80%
15%
5%
Atl. Madrid Bayer 04
40%
10%
50%
Benfica Barcelona
30%
20%
50%
Liverpool Lille
80%
10%
10%
Brugge Juventus
45%
25%
30%
Bologna Dortmund
34%
33%
33%
Slovan Stuttgart
10%
15%
75%
Crvena Eindhoven
40%
20%
40%
Europa League
1
X
2
Galatasaray D. Kyiv
80%
15%
5%
England – Championship
1
X
2
Blackburn Coventry
35%
30%
35%
Derby Sunderland
10%
35%
55%
Hull QPR
25%
25%
50%
Middlesbrough West Brom
30%
50%
20%
Swansea Sheffield U
30%
20%
50%
Watford Preston
34%
33%
33%
Millwall Cardiff
30%
30%
40%
Wednesday – 22/01/2025
Champions League
1
X
2
Leipzig S. Lisbon
34%
33%
33%
Donetsk Brest
30%
25%
45%
PSG M. City
35%
25%
40%
Feyenoord Bayern Munich
20%
10%
70%
Real Madrid Salzburg
60%
30%
10%
Arsenal D. Zagreb
70%
20%
10%
Milan Girona
40%
40%
20%
Praha Inter
10%
15%
75%
Celtic YB
65%
25%
10%
Europa League
1
X
2
Besiktas Ath. Bilbao
20%
30%
50%
England – Championship
1
X
2
Leeds Norwich
70%
20%
10%
Portsmouth Stoke
25%
50%
25%
Sheffield W. Bristol
34%
33%
33%
Plymouth Burnley
30%
50%
20%
Our analytical framework incorporates key parameters such as:
Expected Goals (xG): A measure of the quality of chances created and conceded
Win Percentage (Win%): Historical success rate of teams or players
Clean Sheets (CS): Frequency of matches without conceding goals
Failure to Score (FTS): Instances where a team doesn’t score in a match
Form: Recent performance trends and momentum
and much more…
Additionally, our model factors in numerous other variables, including but not limited to:
Head-to-head records
Home and away performance disparities
Player injuries and suspensions
Tactical formations and playing styles
Mathematical Modeling and Probability Calculation
Utilizing state-of-the-art machine learning techniques, our system processes this multifaceted data through a complex mathematical model. This model employs advanced statistical methods, including:
