In H2H, the primary tie breaker seems to be "Pts For" (my experience anyway). But this completely ignores the enormous variance swings in "Pts Against". 14 games is a very small sample size, so there will be huge swings between most and least.
EDIT: what I originally posted doesn't work ... this is more what I as thinking of:
(Pts For) + (Pts against/7) - (average pts against)
If we say that "pts against" could be responsible for an average swing of 2 games per season. That means of the 196 H2H games played, 28 will be a result of pure variance (it's probably more). That is 1/7th of all the games played.
If you made the formula "pts against" divided by 1/7th, you'd get a more accurate picture:
(Pts For) + (Pts against/7) - (average pts against)
That would still strongly favour the high points scorers, but it would give a very high variance "pts against" team a bit of value back ... why? because if it wasn't for their high variance rate, they wouldn't need a tie break, they'd already be in the play offs.
Anyway ... just a thought.
SEE POST 7
EDIT: what I originally posted doesn't work ... this is more what I as thinking of:
(Pts For) + (Pts against/7) - (average pts against)
If we say that "pts against" could be responsible for an average swing of 2 games per season. That means of the 196 H2H games played, 28 will be a result of pure variance (it's probably more). That is 1/7th of all the games played.
If you made the formula "pts against" divided by 1/7th, you'd get a more accurate picture:
(Pts For) + (Pts against/7) - (average pts against)
That would still strongly favour the high points scorers, but it would give a very high variance "pts against" team a bit of value back ... why? because if it wasn't for their high variance rate, they wouldn't need a tie break, they'd already be in the play offs.
Anyway ... just a thought.
SEE POST 7
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