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CFB Nerds Model and Predictions

Posted on 9/24/25 at 8:09 am
Posted by CrimsonBoz
Member since Sep 2014
19392 posts
Posted on 9/24/25 at 8:09 am
It’s a lengthy watch but some good info. Here are the predictions from their models and themselves.

Video







Posted by tide06
Member since Oct 2011
19810 posts
Posted on 9/24/25 at 8:16 am to
I about spilled my coffee when I pulled up their model yesterday and it had Bama by 22.

That projected 10+ YPA number is the whole story IMO.

I agree their pass D looked suspect against TN but either my eyes or their model is out of whack right now.
This post was edited on 9/24/25 at 8:19 am
Posted by Sl0thstronautEsq
Member since Aug 2018
15447 posts
Posted on 9/24/25 at 8:28 am to
Just out of curiosity, I plugged in Bama vs. FSU:





And

UGA vs. Tenn:




Both predictions looks pretty normal compared to what it's spitting out for Bama vs. UGA
Posted by CrimsonBoz
Member since Sep 2014
19392 posts
Posted on 9/24/25 at 8:34 am to
Obviously their model doesn’t account for environmental things and mistakes but I think the computer thinks our passing attack is to much for UGA. In fact if we hit a roll against UGA and continue to climb the pass attack mountain we could be really good.
This post was edited on 9/24/25 at 8:35 am
Posted by Master of Pancakes
Birmingham
Member since Jan 2022
55 posts
Posted on 9/24/25 at 8:37 am to
I mean, if UT doesn't choke at the end of the game, that model would have been accurate having UT by 3.
Posted by Riseupfromtherubble
You'll Never Walk Alone
Member since Jun 2011
39480 posts
Posted on 9/24/25 at 9:58 am to
Feels like '15
Posted by tide06
Member since Oct 2011
19810 posts
Posted on 9/24/25 at 11:42 am to
I think it’s basically saying it’s the same deal as the BY/Metchie/Jamo year where UGA had a better roster but we just do what they can’t handle: throw vertical.

My concern is the small data set.

They called it in their analysis, but it’s so early that with both teams having a bye and playing some absolute garbage teams it makes for some difficult extrapolations.

We’ve played two really, really bad teams so it’s unclear if the same passing game we had against ULM and Wisconsin scales against a team with elite athelticism like UGA does.

The other issue is FSU. Our data looks how it does because it thinks FSU is the #1 team in the country. But after playing us they have an FCS team and Kent St so they don’t have any other real data points to benchmark us against.

But this is really fun stuff and thank you to Daniel and Josh for putting it all together, their content is must watch.
This post was edited on 9/24/25 at 7:37 pm
Posted by scottydoesntknow
Member since Nov 2023
9433 posts
Posted on 9/24/25 at 12:44 pm to
quote:

I agree their pass D looked suspect against TN but either my eyes or their model is out of whack right now.


They talk alot about this in the very long video. Their model basically has FSU as #1 team in country. They dont quite have enough data yet for the model to be reliable right now.

*missed your last post explaining it
This post was edited on 9/24/25 at 12:46 pm
Posted by Lucky_Stryke
central Bama
Member since Sep 2018
2877 posts
Posted on 9/24/25 at 2:26 pm to
Well they didn't factor in Deboer on the road so....
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