PMC

(a) Distributions of the total net points earned by managers in the gameweek following a transfer, i.e., the points scored by the player brought in minus that of the player transferred out. The average net points for each tier is also shown below; note the difference between the top three tiers and the bottom tier. (b) Distribution of the fraction of better transfers a manager could have made based upon points scored in the following gameweek. Faster-decreasing distributions reflect managers in that tier being more successful with their transfers. (c) The distribution of points from captaincy along with the average total for each tier.

(a) The change in average team value from the initial £100M of all managers, along with 95 percentiles; note the general upward trend of team value over the course of the season. (b) Distributions of team values for each gameweek for those who finished in the top ten thousand positions (i.e., the combination of those in the top 10³ and 10⁴ tiers) versus lower-ranked managers. The distribution for those with higher rank is generally to the right of that describing the other managers from an early stage of the season, indicating higher team value being a priority for successful managers. (c) The relationship between a manager’s team value at GW 19 versus their final points total, where the heat map indicates the number of managers within a given bin. The black line indicates the fitted linear regression line, showing that an increase in team value by £1M at this point in the season results in an average final points increase of 21.8 points.

Fig 4 Readmissions for chronic obstructive pulmonary disease and deaths in successful self managers and others in intervention group

Human/pet analogy chart (modified from Fortney WD: Implementing a Successful Senior/Geriatric Health Care Program for Veterinarians, Veterinary Technicians, and Office Managers. Vet Clin North Am Small Anim Pract 2012;42:823–834. Adapted with permission).