Football Fixed Matches
DATE | HOME – AWAY | TIP | ODDS | RESULT |
01.8.2025 | Cerro Largo – River Plate | X | 3.20 | 2:2 |
02.8.2025 | ||||
03.8.2025 | ||||
04.7.2025 | ||||
05.7.2025 | ||||
06.7.2025 | ||||
07.7.2025 | ||||
08.7.2025 | ||||
09.7.2025 | ||||
10.7.2025 | ||||
11.7.2025 | ||||
12.7.2025 | ||||
13.7.2025 | ||||
14.7.2025 | ||||
15.7.2025 | ||||
16.7.2025 | ||||
17.7.2025 | ||||
18.7.2025 | ||||
19.7.2025 | ||||
20.7.2025 | ||||
21.7.2025 | ||||
22.7.2025 | ||||
23.7.2025 | ||||
24.7.2025 | ||||
25.7.2025 | ||||
26.7.2025 | ||||
27.7.2025 | ||||
28.7.2025 | ||||
29.7.2025 | ||||
30.7.2025 | ||||
31.7.2025 |
Free Football Prediction for 13.09.2025
Time : 17:00
Match : Nica – Nantes
PICK: 3+ ODD : 1.90 FT : ? – ?
Free Football Prediction for 12.09.2025
Time : 20:45
Match : Mareille – Lorient
PICK: 1&3+ ODD : 2.10 FT : 4 : 0 – WIN
Free Football Prdictions 10.09.2025
Time : 20:00
MATCH : Coventry U21 – Blackburn U21
PICK : X ODD : 3.50 FT : 2 – 2 WIN
Free Football Prdictions 08.09.2025
Time : 20:45
MATCH : Croatia – Montenegro
PICK : 1-1 ODD : 1.70 FT : 4 – 0 WIN
Free Football Prdictions 07.09.2025
Time : 15:00
MATCH : Georgia – Bulgaria
PICK : 1 ODD : 1.50 FT : 3 : 0 – WIN
Free Football Prdictions 05.09.2025
Time : 20:45
MATCH :Iceland – Azerbaijan
PICK : 1 ODD : 1.50 FT : 5 – 0 WIN
Free Football Prdictions 04.09.2025
Time : 20:45
MATCH : Bulgaria – Spain
PICK : 2 & Over 2.5 goals ODD : 1.70 FT : 0 – 3 WIN
Free Football Prdictions 03.09.2025
Time : 17:00
MATCH : GRiFK – Vanta
PICK : Over 3.5 goals ODD : 1.70 FT : 1 : 6 – WIN
Free Football Prdictions 02.09.2025
Time : 20:45
MATCH : Doncaster – Everton u21
PICK : 1&3+ ODD : 1.80 FT : 2 : 1 – WIN
Free Football Prdictions 30.08.2025
Time : 21:00
MATCH : Toulouse – PSG
PICK : 2 ODD : 1.40 FT : 3 : 6 – WIN
Free Football Prdictions 29.08.2025
Time : 19:30
MATCH : Laval – Clermont
PICK : x ODD : 1.60 FT : 0 : 0 – WIN
Free Football Prdictions 28.08.2025
Time : 19:30
MATCH : Ludogorets – Shkendija
PICK : 1&t12+ ODD : 1.60 FT : 2 : 1 – WIN
Free Football Prdictions 27.08.2025
Time : 21:00
MATCH : FC Copenhagen – Basel
PICK : 1 ODD : 1.60 FT : 2 : 0 WIN
Free Football Prdictions 25.08.2025
Time : 17:00
MATCH : Haka – SJK
PICK : Over 2.5 goals ODD : 1.40 FT : 2 – 3 WIN
Free Football Prdictions 24.08.2025
Time : 14:30
MATCH : Utrecht – Excelsior
PICK : 1 ODD : 1.40 FT : 4 : 1 – WIN
Free Football Prdictions 23.08.2025
Time : 21:30
MATCH : Levante – Barcelona
PICK : 2&3+ ODD : 1.60 FT : 2 : 3 – WIN
Statistical Football Prediction: Methods and Limitations
What Is Statistical Football Prediction?
Statistical football prediction is a technique used in sports betting and analytics to forecast the outcomes of football matches through mathematical and statistical tools. The primary goal is to generate more accurate predictions than bookmakers, who often use similar models when setting odds.
Ranking Systems as a Common Method
One of the most widely used methods is the ranking system. These systems assign a numerical rank to each team based on past match results, where higher ranks indicate stronger performance. By comparing the ranks of two teams, analysts can estimate the likely outcome of a match. Examples include the FIFA World Rankings and the World Football Elo Ratings.
Key Limitations of Ranking-Based Models
Despite their popularity, ranking-based models have several important limitations:
-
Lack of Detail: These systems do not differentiate between offensive and defensive strengths, which are essential for accurate match predictions.
-
Outdated Data: Rankings typically rely on long-term averages, which might overlook recent changes in a team's form or important factors like player injuries.
-
Different Objective: While rankings are designed to measure general team strength over time, they are not specifically built to predict the outcomes of individual matches with high precision.
Conclusion
In summary, while ranking systems offer a quick and intuitive way to compare teams, they lack the depth and adaptability required for high-accuracy football predictions. Therefore, more sophisticated models that incorporate dynamic team statistics and real-time data are often necessary to improve predictive accuracy.