Thinking of creating your own FPL model?
I spent a summer building one. Nine seasons of data, a component-wise expected-points model, and a portfolio optimiser that treats the crowd as a benchmark.
Here's everything I got wrong first, so you don't have to. π§΅
Before anyone states that I conveniently captained Gabriel, the model states that he is the best captain who played this week and is in this team:π
https://t.co/MGOLMPfTXI
What a week to catch the top 10k this was: Here's my team I highlighted earlier in the week for those who really needed to catch up: it scored 90 Pointsπ±
Are Chelsea riding their luck?
xG measures the chances a player gets. In 17,525 PL attacker appearances, players who beat their xG by 2-3 goals over six games scored 0.84/90 in that run, then 0.33/90 the next match, close to their 0.39 xG rate.
Chelsea: 15 goals from 8.5 xG π¬π