Season 2014/15 Summary – Average Gameweek Points


description summary of FPL Discovery posts for season 2014/15
gameweeks included 1-38 (full season)
samples examined – random samples of 20,000 FPL teams
– samples of top 10,000 FPL teams as of the start of each gameweek (in GW 1 both samples were identical as there is no top 10K at the start of a season)
team selection
scoring
Average gameweek points

Average Points

At the end of each gameweek, I posted 2 average scores: an average score for the random sample, and an average score for the top 10K as of the start of the week. The diagram below contains all those numbers with average point hits taken into account. A similar graph without deductions for point hits is HERE.

P2

  • The net average score of top 10K teams was normally higher than the net average score of random samples, by 10.2 points on average. GW 22 and GW 29 were the only two exceptions when too many top 10K template players failed. The biggest difference was observed in GW 36 when Sergio Agüero (С) smashed all the casuals and ghost teams with a 46 point haul.
  • The FPL winner of this season, Simon March, scored 2,470 points in total, or exactly 65 points per gameweek. So, if you want to win FPL next season, you should probably consider each week when you don’t beat the net top 10 K average by 10 points a bad one😉

 

How did these indicators perform over the season? Here are final ranks that could be achieved by always scoring the points of:

  • Official overall average: 1.60M (1,703 points)
  • Average score of random samples (total): 1.52M (1,718 points)
  • Average score of random samples (net): 1.65M (1,693 points)
  • Top 10K average score (total): 42K (2,115 points)
  • Top 10K average score (net): 71.1K (2,081 points)

Well, not so good. You needed 2,197 points to be in the top 10K at the end of the season, that’s a 116 point difference from the cumulative top 10K net average. How did it arise? As I pointed out last season, the reason is the turnover of top 10K teams. I calculate stats for top 10K teams as they are at the start of a gameweek, but teams from outside then replace the worst performers and improve post-gameweek stats. The turnover is huge at the start of the season, therefore, over a half of the 116 point difference arose just after the first 5 gameweeks. After that, the net top 10K average was a relatively good indicator, but still required a tiny upward adjustment if you wanted to track the pace of the top 10K mark:

P10

 

Last Season

READ FURTHER
team selection
scoring
Average gameweek points

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s