sunday soccer predictions : 6.11.2022
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:
HIGHEST BTTS PERCENTAGE:
| Match | Goals / Match | BTTS % | Date | Odds | |
|---|---|---|---|---|---|
| 1 | Wrexham vs Oldham Athletic | 3.25 | 100% | Today | 1.91 |
| 2 | Mladá Boleslav vs Teplice | 4.09 | 92% | Today | 1.75 |
| 3 | Lille vs Rennes | 3.59 | 92% | Today | 1.62 |
| 4 | Volendam vs Feyenoord | 4.44 | 82% | Today | 1.55 |
| 5 | Rostov vs Dinamo Moskva | 3.28 | 81% | Today | 1.59 |
| 6 | CF Os Belenenses vs Estrela Amadora | 3.10 | 80% | Today | 1.75 |
| 7 | Horn vs Amstetten | 3.50 | 79% | Today | 1.57 |
| 8 | FK Bodo – Glimt vs Viking | 3.97 | 79% | Today | 1.57 |
| 9 | Olympique Marseille vs Olympique Lyonnais | 2.79 | 77% | Today | 1.62 |
| 10 | Bologna vs Torino | 2.50 | 75% | Today | 1.91 |
| 11 | Southampton vs Newcastle United | 2.34 | 75% | Today | 1.75 |
| 12 | RKC Waalwijk vs AZ | 3.92 | 75% | Today | 1.55 |
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 sunday soccer predictions
Predicting the results of sports matches is interestingto many, from fans to punters.
It is also interesting as aresearch problem, in part due to its difficulty, because theresult of a sports match is dependent on many factors, suchas the morale of a team (or a player), skills, current score,etc.
Football is perhaps the World’s pre-eminent sport, so it is not surprising that there has been a substantial amount of research on football prediction.
Actually, among allsports, football prediction is one of the most widely anddeeply researched area.
Kronos algorithm has many advantages,and gives good and stable predictions, it also has some restrictions on its applicability.
Knowledge-based systems usually require knowledgeof relatively good quality while most machine learning systems need a huge amount of data to get good predictions.
