Using Sagarin as the predictor

[deedsker]

Geeks...

i'm just glad someone is lame enough to do the research.

agreed

 

[walksalone]

Geeks...

i'm just glad someone is lame enough to do the research.

agreed

 

[Scarlet Overkill]

If I was a true nerd, I'd use my own ranking system.

 

[walksalone]

If I was a true nerd, I'd use my own ranking system.

Yeah, using NCAA 12, simulating the end of the season 500 times and averaging the data

 

[bshirt]

Big wins vs Iowa (13) , Minn (26), NW (19)

Fairly large loss vs Michigan (-9)

very close losses vs MSU (-0.4), PSU (-2).

Huh? How Michigan is rated so much more tougher than MSU is beyond me. I can see them being at home worth...what?.....3 pts? Hmm......or maybe it's the full nine?

 

[Scarlet Overkill]

3 points were added as the HFA in the calculated "point spread".

 

[Excel]

What was the average point differential per projection? What's the standard margin of error? How large was your sample size and how was it selected? Was your work even peer-reviewed?

I'm highly skeptical of your results, I find them shallow and pedantic.

 

[Scarlet Overkill]

:LOLtartar eh, go ask Jeff himself - I just used what he puts out on a weekly basis.

 

[irafreak]

Because I was seriously bored, and kind of geeky.... I used Sagarin as a predictor of how each division would finish. (commentary below it)

Leaders

Team Conf Record non-div record

Wisconsin 8-0 3-0

Penn State 6-2 3-0

Ohio State 4-4 0-3

Illinois 4-4 2-1

Purdue 2-6 0-3

Indiana 0-8 0-3

Legends

Team Conf Record non-div record

Michigan St 7-1 2-1

Michigan 7-1 3-0

Nebraska 4-4 1-2

Iowa 4-4 2-1

Northw'tern 1-7 1-2

Minnesota 0-8 0-3

And that is why they play the games because the computer doesn't take into account anything other than some numbers.

Using the predictor, Michigan State is favored by less than a point, and Penn State is favored by about 2 points. I like the fact that MSU plays Wisconsin the week before us, and we're at home for that game as well.

I get the feeling my comment was lost on a couple posters....

 

[sd'sker]

What was the average point differential per projection? What's the standard margin of error? How large was your sample size and how was it selected? Was your work even peer-reviewed?

I'm highly skeptical of your results, I find them shallow and pedantic.

how are his results hungry?

 

[deedsker]

What was the average point differential per projection? What's the standard margin of error? How large was your sample size and how was it selected? Was your work even peer-reviewed?

I'm highly skeptical of your results, I find them shallow and pedantic.

how are his results hungry?

Defenses get eaten up