Before the big game

Before the big game tonight – which won’t really alter the PremPredict leaderboard – the podium places are unchanged from my last update.

For that reason, the congratulations still go to Luke Finnis. He’s still leading from Roger and Neil, albeit with a better score. As for Neil, he must have mixed feelings, as he almost always puts heart above head and predicts Liverpool to win … except for this year.

 

Latest standings

Here’s what you really want to know, though …

##               Names Scores Bonus WorstClub WorstCost
## 1  Roger Gathercole     82   -50   Watford        36
## 2       Luke Finnis    128     0   Chelsea        25
## 3     Neil Waterman    154   -50   Burnley        81
## 4    Andrea Laporta    186   -50    Wolves        64
## 5       George Quin    254   -50   Watford       100
## 6       Alan Finnis    262   -50   Burnley        81
## 7       Vera Finnis    264     0    Fulham        81
## 8       Mike Finnis    294     0    Fulham       100
## 9      Peter Finnis    294   -50    Wolves       100
## 10    Robin Penfold    302   -50   Watford       121
## 11     Beth Penfold    312   -50    Wolves       100
## 12     Scott Harrop    314   -50   Watford       144
## 13     Alan Butcher    334     0    Fulham       121
## 14    Imogen Finnis    352     0    Wolves       144
## 15  Mathew Saunders    356     0    Fulham       100
## 16      Les Penfold    364   -50   Burnley        81
## 17     Laura Finnis    372     0    Wolves       169
## 18    Hannah Finnis    406     0    Wolves       169
## 19    Marion Finnis    480     0    Wolves       144
## 20    Paula Penfold    638     0  Brighton       100

 

Oh, and my folks might not want to look at the lower half of the table!

 

I’ll be in touch in a month or two with more standings, so stay tuned.

All the best and happy 2019 …



Appendix

For completeness, here’s the code that I used to calculate what’s above.

library(premPredictor)
player_data <- get_player_data("https://www.dropbox.com/s/uin6zk4w5cyk2m1/PremPredict-18-19.csv")
get_latest_standings(data_input = player_data)

 

And here are your team-by-team predictions, alongside the latest team standings.