Data Statistical Analyst Football Results
Budget: £20 – £250 GBP
I am looking for a Data & Statistical Analyst with experience in Excel to help me with my football prediction project.
Specifically, I need someone who can optimize which predictions to take on match outcomes based on prediction models and excel data through statistical analysis.
-I currently have 3 working Python generated prediction models (Multiple Excel output files by League).
-Each model has different predictions
-I have excel calculation for XG for each team. Manual input
REQUIREMENT:
-Using STATS analysis to determine what bets to put on to maximise P&L. ie using all the data available above to filter bets to maximise P&L. Using a filtering or stats model. this logic needs to be created.
-Model to be built using the historical predictions
-Model overlay on upcoming games.
ie i have 3 models that predict Match A (Say H,H,D). Available in excel CSV by league
-i then have XG for each team (that predicts X goals for each team).
-i have the actual result of the game. In excel CSV
--Using the above i want a data model that ignore certain games & selects games to bet on for up coming fixtures.
-For example using historical data. If odds are > XXX do not trade. or if team has lost last YYY games do not trade. or if team A is playing at H and odds are XXX then trade.
all the above should be from a stats model using the data provided. Can be filtering or other stats logic of correlation of distribution.
The output format I would like in excel.
Ideal skills and experience for this job include:
- Strong statistical analysis background
- Proficiency in Excel Macro VBA
- Knowledge of football data analysis
- Experience in match outcome prediction
- Ability to create ongoing reports.
- Excellent communication
It is a one off exercise. please only apply if you have the above qualifications.
Specifically, I need someone who can optimize which predictions to take on match outcomes based on prediction models and excel data through statistical analysis.
-I currently have 3 working Python generated prediction models (Multiple Excel output files by League).
-Each model has different predictions
-I have excel calculation for XG for each team. Manual input
REQUIREMENT:
-Using STATS analysis to determine what bets to put on to maximise P&L. ie using all the data available above to filter bets to maximise P&L. Using a filtering or stats model. this logic needs to be created.
-Model to be built using the historical predictions
-Model overlay on upcoming games.
ie i have 3 models that predict Match A (Say H,H,D). Available in excel CSV by league
-i then have XG for each team (that predicts X goals for each team).
-i have the actual result of the game. In excel CSV
--Using the above i want a data model that ignore certain games & selects games to bet on for up coming fixtures.
-For example using historical data. If odds are > XXX do not trade. or if team has lost last YYY games do not trade. or if team A is playing at H and odds are XXX then trade.
all the above should be from a stats model using the data provided. Can be filtering or other stats logic of correlation of distribution.
The output format I would like in excel.
Ideal skills and experience for this job include:
- Strong statistical analysis background
- Proficiency in Excel Macro VBA
- Knowledge of football data analysis
- Experience in match outcome prediction
- Ability to create ongoing reports.
- Excellent communication
It is a one off exercise. please only apply if you have the above qualifications.