MATHEMATICAL ARTIFICIAL INTELLIGENCE PREDICTIONS - 04.01.2023 VIP TIPS
The AI algorithm searches through all the matches history and displays in the table below the matches with highest occurence for these categories : Over 2.5 Goals, Both Teams to Score, Over 9 Corners, Under 2.5 Goals.
SOCCER PREDICTIONS:
| Match | Tip | History % | Date | Odds | |
|---|---|---|---|---|---|
| 1 | Galatasaray vs Ankaragucu | Over 9.5 Corners(6/6) | 100% | Today | 1.91 |
| 2 | Sassuolo vs Sampdoria | Under 10 Corners(7/7) | 100% | Today | 1.80 |
| 3 | Kasimpasa vs Alanyaspor | Over 9.5 Corners(7/8) | 88% | Today | 1.80 |
| 4 | Southampton vs Nottingham Forest | Both teams to score | 88% | Today | 1.80 |
| 5 | Al Ain vs Al Arabi | Over 2.5 Goals | 86% | Today | 2.05 |
| 6 | Roma vs Bologna | Over 2.5 Goals | 86% | Today | 2.00 |
| 7 | Spezia vs Atalanta | Both teams to score | 86% | Today | 1.70 |
| 8 | Lecce vs Lazio | Both teams to score | 86% | Today | 2.00 |
Don’t forget, being responsible is the most important aspect of a successful sports bettor!
Check here our Single Betting vs. Parlay Betting guide and how much your bets should be.
Welcome to Goaliero VIP Tips – Mathematical Artificial Intellgience Predictions
Football is one of the most impactful sports in the world.
Over the last decades this sport has evolved significantly, and so has the revenue of the associated betting business.
Since this is a fast-paced game where teams and players perform minute-to-minute, you need to make sure that your football predictions are based on proper research and factors like weather conditions, injury situations and individual form.
Due to the characteristics of the game itself, it is possible that a team loses against a clearly inferior
side, which makes any type of bet even more difficult.
Goaliero had the opportunity to develop better forecasting tools that indicate the most likely outcome of a football
match and the respective confidence in the result, thus leading to more informed bets.
The algorithm is learning daily through historical data from previous seasons.
The availability of data
related to matches in the various football leagues is increasingly detailed, which enables the collection of data with
distinct features.
