Football Fixed Matches
DATE | HOME – AWAY | TIP | ODDS | RESULT |
01.05.2025 | Djugrarden – Chelsea | 3+ | 1.90 | 1:4 |
02.5.2025 | Torino – Venezia | X | 3.00 | 1:1 |
03.5.2025 | B. Dortmund – Wolsburg | 3+ | 1.80 | 4:0 |
04.5.2025 | Primorje – Celje | 4+ | 3.95 | 0:5 |
05.5.2025 | Raya – Aswan SC | X | 3.00 | 1:1 |
06.5.2025 | Golden Arrows – Orlando | X/2 | 4.35 | 1:2 |
07.5.2025 | CRB – Cuiaba | X | 3.20 | 1:1 |
08.5.2025 | Ararat – Van | 1 | 3.85 | 2:1 |
09.5.2025 | Villefranche – Quevilly Rouen | 2 | 2.70 | 0:1 |
10.5.2025 | Saoura – Mostaganem | X/X | 4.50 | 0:0 |
11.5.2025 | Britannia – Estrella | BTTS | 2.70 | 6:1 |
12.5.2025 | Skeid – Lilleström | X | 5.75 | 1:1 |
13.5.2025 | Dire Dawa – Mekelle 70 Enderta | X | 2.90 | 1:1 |
14.5.2025 | ||||
15.5.2025 | ||||
16.5.2025 | ||||
17.5.2025 | ||||
18.5.2025 | ||||
19.5.2025 | ||||
20.5.2025 | ||||
21.5.2025 | ||||
22.5.2025 | ||||
23.5.2025 | ||||
24.5.2025 | ||||
25.5.2025 | ||||
26.5.2025 | ||||
27.5.2025 | ||||
28.5.2025 | ||||
29.5.2025 | ||||
30.5.2025 | ||||
31.5.2025 |
Free Football Prdictions 14.05.2025
Time : 20:00
MATCH : Feyenord – Walwijk
PICK : 1-1& 3+ ODD : 1.65 FT : ? – ?
WhatsApp: +389 76 456 875
Free Football Prdictions 13.05.2025
Time : 19:00
MATCH : Brescia – Regiana
PICK : 1 ODD : 1.65 FT : 2 : 1 – WIN
WhatsApp: +389 76 456 875
Free Football Prdictions 12.05.2025
Time : 19:00
MATCH : Skied – Lilestorm
PICK : 2 ODD : 1.45 FT : 1 : 2 – WIN
WhatsApp: +389 76 456 875
Free Football Prdictions 11.05.2025
Time : 16:15
MATCH : Barcelona – Real Madrid
PICK : 1 ODD : 1.85 FT : 4 : 3 – WIN
WhatsApp: +389 76 456 875
Free Football Prdictions 09.05.2025
Time : 20:00
MATCH : Algeria – Gambia
PICK : 1 ODD : 1.55 FT : 3 – 0 WIN
Free Football Prdictions 08.05.2025
Time : 21:00
MATCH : Bodo/glimit – Tottenaham
PICK : 2 ODD : 2.50 FT : 0 : 2 – WIN
Free Football Prdictions 07.05.2025
Time : 18:00
MATCH : Oss – Asane
PICK : Over 3.5 goals ODD : 1.80 FT : 1 : 4 – WIN
Free Football Prdictions 06.05.2025
Time : 21:00
MATCH : Inter – Barcelona
PICK : G.G ODD : 1.50 FT : 3 : 3 – WIN
Free Football Prdictions 05.05.2025
Time : 17:00
MATCH : Mladost – Borac
PICK : 1 ODD : 1.60 FT : 3 : 2 – WIN
Free Football Prdictions 04.05.2025
Time : 14:00
MATCH : Real Madrid – Celta
PICK : 1 ODD : 1.50 FT : 3 : 2 – WIN
Free Football Prdictions 03.05.2025
Time : 18:30
MATCH : Al Ahly – Kawasaki
PICK : 1 ODD : 1.50 FT : 2 : 0 – WIN
Free Football Prdictions 03.05.2025
Time : 18:30
MATCH : Al Ahly – Kawasaki
PICK : 1 ODD : 1.50 FT : 2 – 0 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.