The Limper NFL – Week 13

[WillyBoy]

[WillyBoy]

[POOLSIDE]

This system is garbage, but not bad enough to fade. What are you trying to accomplish here?

[MadLegend28]

This system is garbage, but not bad enough to fade. What are you trying to accomplish here?

who cares? he/she is doing what they want too. you need to look in the mirror at how pathetic your own life is to worry enough about what others do.

[WillyBoy]

This system is garbage, but not bad enough to fade. What are you trying to accomplish here?

In fact, the “system” is doing exactly as intended, but if you’re looking to tail or fade the model’s projected picks, then you’re missing the point – and that’s my fault. I have previously explained what the model does (and doesn’t do), but not frequently enough, obviously, to make an impact – so, I’ll try again.

The model intends, not to predictions, but number-based projections of past performance team and player data, and matchups of team and player values (including current injuries), which results in a statistical differential or projected margin of victory. This is exactly what statistical services like Team Rankings and Number Fire do, albeit with their own algorithms; and, over the years, my model has, in fact, outperformed them. Providing “picks” based on these MOV projections is simply a way to publically grade the model, not to provide the bettor with winners. At best the model is a guide for the bettor in making his wagers.

[POOLSIDE]

who cares? he/she is doing what they want too. you need to look in the mirror at how pathetic your own life is to worry enough about what others do.

Lol start over with a new account. This one is trash.

[POOLSIDE]

In fact, the “system” is doing exactly as intended, but if you’re looking to tail or fade the model’s projected picks, then you’re missing the point – and that’s my fault. I have previously explained what the model does (and doesn’t do), but not frequently enough, obviously, to make an impact – so, I’ll try again.

The model intends, not to predictions, but number-based projections of past performance team and player data, and matchups of team and player values (including current injuries), which results in a statistical differential or projected margin of victory. This is exactly what statistical services like Team Rankings and Number Fire do, albeit with their own algorithms; and, over the years, my model has, in fact, outperformed them. Providing “picks” based on these MOV projections is simply a way to publically grade the model, not to provide the bettor with winners. At best the model is a guide for the bettor in making his wagers.

This makes a lot more sense. It’s just strange seeing it posted every week with an updated record, as if all those plays are being made. Would be cool to see a record of games actually played off of this statistical model, as opposed to just one lump sum. Obviously that’s a little extra work that no one is paying you for, so I don’t expect it haha. Anyway, thanks for the explanation and good luck.

[WillyBoy]

[WillyBoy]

[WillyBoy]

[WillyBoy]