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CFB Nerds Model and Predictions
Posted on 9/24/25 at 8:09 am
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
Video
Posted on 9/24/25 at 8:16 am to CrimsonBoz
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.
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 on 9/24/25 at 8:28 am to CrimsonBoz
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
And
UGA vs. Tenn:
Both predictions looks pretty normal compared to what it's spitting out for Bama vs. UGA
Posted on 9/24/25 at 8:34 am to Sl0thstronautEsq
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 on 9/24/25 at 8:37 am to Sl0thstronautEsq
I mean, if UT doesn't choke at the end of the game, that model would have been accurate having UT by 3.
Posted on 9/24/25 at 11:42 am to Sl0thstronautEsq
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.
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 on 9/24/25 at 12:44 pm to tide06
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 on 9/24/25 at 2:26 pm to scottydoesntknow
Well they didn't factor in Deboer on the road so....
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