📈 TOP TEN STATISTICAL PERFORMANCES 2018/19
1⃣ 80% Braithwaite v Millwall away
2⃣ 73% Friend v Millwall away
3️⃣ 73% Tavernier v Millwall away
4⃣ 70% Wing v Millwall away
5⃣ 70% Downing v Millwall away
6⃣ 70% Clayton v Millwall away
7️⃣ 70% Shotton v Millwall away
8⃣ 65% Flint v Millwall away
9️⃣ 65% Fry v Millwall away
🔟 65% Fletcher v Millwall away
(Boroform ratings based on positive v negative stats posted by Opta during the match)
What started out as a way to forecast the top six and to calculate Boro’s finishing position for the 2015/16 Championship season turned into a rather large spreadsheet of team and player data.
After forecasting 4 out of the Championship top six correctly and predicting Boro to finish second in the league, I have found the figures to be relatively reliable so started a project to rate all teams and players using this formula.
In its current form there are ratings based on all positive and negative touches during every match for every player and ratings for all teams from all around the world giving me a base to compare and rate Boro players and Boro team form versus others.
The predictions remained solid on Boro’s return to the Premier League..
So how do we know what is good and what is not?
As for teams, a rating above 75% would mean a team would be capable of competing in the top half of top tier football and a rating below 50% would be non league standard. A rating of at least 73% is generally required for survival in the Premier League.
When comparing teams head to head a ratings difference of more than 5% would be an expected win, the closer the teams are rated the tougher the opposition.
What about player ratings?
As for rating players, Opta stats are used and each stat is treated as a positive or a negative to give an overall player rating per 90 minutes play.
For example : a succesful pass is a positive, an unsuccesful one is a negative, shot on target positive, off target negative, and so on with tackles, Clearances, aerial duels etc…
A players expected 90 minute rating should be between 60-70%, if higher than 70% then the player makes a positive impact, if lower than 60% then a negative impact is implied.
All player ratings are taken as an average and then added to the Teams rating (Which is made up of performances against the quality of opposition and results over a two season rolling basis).
I hope this clarifies how the ratings are worked out (I’ve tried not to use too much jargon), If you have any questions feel free to contact me on @boroform , all questions welcome.