statistical gimmicks with odds - just for fun
Statistics : England / Premier League 2023/2024 evaluation: five years plus current season
These statistics concentrate data in coherence to odds and match results.
The frequency of different data in coherence with a unique base will be displayed.
These statistics are a tool to determine the probability of some match outcomes under the same pre-conditions. There is a limited amount on information in this examination. All used data are open to the public. The database is unique and comparable. A formula based on the comparison of past matches data's is used to ascertain the match favourite.
Summary
home favourite
0.00% of the matches
no favourite
0.00% of the matches
away favourite
100.00% of the matches
goals per match
mean
median
range
variance
frequency
0.00
0
-1 - 0
0.00
goals - 0.00%
outcome all matches
home win
draw
away win
0.00%
0.00%
100.00%
outcome home favourite
home win
draw
away win
0,00%
0.00%
100.00%
average odds home favourite
median
range
variance
frequency
home
0.00
0.00 - 0.00
0.00
0.00
draw
0.00
0.00 - 0.00
0.00
0.00
away
0.00
0.00 - 0.00
0.00
0.00
There are three model's to calculate the favourite team. All model's contain different pros and cons.
Model 1
The favourite team is determined on a fixed period dependent on the match achievements. The success is rated by a point system. The team with the most points is the favourite. The margin of the points reflects the performance gap. The margin is integrated in several classes.
Pros and Cons
Pros
- real time evaluation
- ideal data volume
- ideal class distribution
- season start difficult to calculate
| home favourite | away favourite | |||||||||
| margin |
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| 0 % | ||||||||||
| 10 % | ||||||||||
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| 30 % | ||||||||||
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| 70 % | ||||||||||
| 80 % | ||||||||||
| 90 % | ||||||||||
| 100 % | ||||||||||
| sum |
Model 2
The favourite team is determined on a direct comparison of the match balance against each other. The evaluation is limited at a time range. The team with the better balance is the favourite. The balance sum margin reflects the performance gap.
Pros and Cons
Pros
- long term evaluation
- flat class distribution
- clear classification
- high ratio of non predictable matches
| home favourite | away favourite | |||||||||
| margin |
|
| ||||||||
| 0 % | ||||||||||
| 10 % | ||||||||||
| 20 % | ||||||||||
| 30 % | ||||||||||
| 40 % | ||||||||||
| 50 % | ||||||||||
| 60 % | ||||||||||
| 70 % | ||||||||||
| 80 % | ||||||||||
| 90 % | ||||||||||
| 100 % | ||||||||||
| no prediction | ||||||||||
| sum |
Model 3
The favourite team is determined by combination from match balance and match achievements. A compound of both components enables with a point system the favourite prediction. The team with the highest amount of points is the favourite. The balance sum margin reflects the performance gap.
Pros and Cons
Pros
- long term evaluation
- season start well predictable
- clear classification
Cons
- complex prediction
| home favourite | away favourite | |||||||||
| margin |
|
| ||||||||
| 0 % | ||||||||||
| 10 % | ||||||||||
| 20 % | ||||||||||
| 30 % | ||||||||||
| 40 % | ||||||||||
| 50 % | ||||||||||
| 60 % | ||||||||||
| 70 % | ||||||||||
| 80 % | ||||||||||
| 90 % | ||||||||||
| 100 % | ||||||||||
| no prediction | ||||||||||
| sum |
league :
season :
date :
England
Premier League
2023 / 2024
04/20/2024