StrikeEngine FPL Points Predictor – Stats with Context
StrikeEngine FPL Points Predictor – FPL stats with context. We combine multiple stats to give the numbers context.
Instructions:
FILTERING: Hold shift while selecting column sort to sort multiple columns at same time
NOTE: A player must have played at least three hundred minutes in last 15 games to be listed
Terms
PPV: as PP but with value. Higher numbers are better. (Primary stat)
Bonus: Bonus points per game, the more the better. (Tie Breaker stat)
PP: The average predicted points per game over the next 5 games. Not actual points. Number relative to other players (Primary stat)
PPF: As PPF, form compensated. (Primary stat)
Why is Context Important?
Some examples
-A player has low points per match because his mins were limited as he came back from injury. StrikeEngine FPL compensates for this by taking into account the mins he played versus the points he scored. This stat regularly discovers players who fly under the radar.
-A team got off to a really bad start because their fixtures were by far the most difficult of all other teams. The simple points per match stat does not compensate for this. StrikeEngine FPL stats do.
We scored big this year (24/25) picking Strand Larson and Cunha just as Wolves fixtures were became easier.
These are just two examples.
Factors
What do we factor in to your FPL stats?
Bonus points
Points per game
Points per match
Minutes played
Past fixture difficulty over two periods.
Future fixture difficulty over the next 5 games.
Automated
You could do this manually but it takes an age to factor in past and futures difficulty, StrikeEngine FPL Points Predictor does it all for you.
