ESPN College Football - Computer Ranking - Top 10

Submitted by Amazinblu on November 29th, 2022 at 10:47 AM

The attached article caught my eye.  The whole idea of ranking - and subjectivity vs objectivity to assess teams while selecting the teams for the CFP - will be an ongoing conversation.   

The link follows (it is not paywalled) and, was published AFTER Saturday's games.

https://www.msn.com/en-us/sports/ncaafb/espn-computer-releases-its-new-top-25-rankings/ar-AA14BK4T?li=BBnbfcL

Here's the latest top 10 from ESPN's computer model:

  1. Georgia
  2. Alabama
  3. Ohio State
  4. Michigan
  5. Tennessee
  6. Texas
  7. Penn State
  8. Utah
  9. Clemson
  10. TCU

Yes, after Michigan's victory in Columbus, the eSECpn computer algorithm still has the Buckeyes ranked in front of the Wolverines.   And, there are only three SEC teams in the Top Five.

As an engineer whose career has been in technology, I'd be very interested in seeing the algorithm that determined these rankings.

My immediate reaction is essentially - incredulous.

Hab

November 29th, 2022 at 11:54 AM ^

Primary factors in any rematch discussion - whether injured players (Corum and JSN, specifically) are fit to play.

By the way, we didn't get a rematch in 2006.  OSU shouldn't get one here.  Even considering OSU at this point (and Alabama too, really), is the biggest 3rd base argument ever.

Bo Harbaugh

November 29th, 2022 at 11:55 AM ^

Lol..OSU’s entire offense has been based on explosives for 2 years.  
 

UM flips the script and it’s “random”

Handing off to Blake or Donovan and watching them gallop through 15 foot gaps into a secondary is not random… it’s UM football. These folks clearly don’t understand the conflict that a dominant o-line and messing with #s in the box can create for a defense.

Johnson had nobody within 15 yards of him on his 2nd TD and Loveland beat the coverage be 10 yards..not random.  

evenyoubrutus

November 29th, 2022 at 12:01 PM ^

This is why computer models can never be the end all be all. The explosive plays happened because Michigan has a pick your poison offense. OSU tried to prevent the big plays for one drive as Brian pointed out, and it resulted in 8 minutes off the clock and a TD. Explosive plays are only random in that it's hard to predict when they will happen. I.e. you don't typically call the "explosive" play just like you don't call the "turnover play" on defense. 

I can't imagine why Ed is no longer on the roundtable.

Red is Blue

November 29th, 2022 at 12:20 PM ^

Agreed that the explosive plays were a result of OSU selling out -- trying to stop being ground to a fine paste.  

In addition, discounting a few explosive plays as flukey might make some sense in a normal context.  But you'd think a "statistician" would recognize that the odds of 5 flukes is pretty remote, so maybe that points to something else going on.

MaizeNBlueTexan

November 29th, 2022 at 11:49 AM ^

Okay, so the most mind boggling ranking is actually TCU at 10.

Let’s see if I can be open minded about this:

I have season tickets to the Longhorns and it appears they are ranked that high because they were close to being pretty good. They couldn’t get it done, but points for effort I guess? I’m guessing star power is also a factor here.

Same for Alabama. Star power and they were close to being undefeated. Let’s just ignore those close wins that were almost losses.

Then you look at TCU. No credit for going undefeated. No credit for getting to a championship game. No credit for beating #6 TX on the road. You can’t give exceptions to all the teams above TCU and then not do the same here. This makes no sense at all.

OSU over UM is laughable.

I agree with the poster who said they wanted to look at the code to find out what they rank as important or not.

I bet since ESPN has vested interest in SEC, a win over an SEC team counts as 1.5.

Edit: I completely missed USC not in the top 10, but Utah at 9 lol.

TrueBlue2003

November 29th, 2022 at 11:56 AM ^

FPI gets updated every week.  None of this is new.  It's a similar ranking to S&P+ and they do explain it in multiple places but here's the basic explanation:

"Each team’s FPI rating is composed of a predicted offensive, defensive and special teams component. These ratings represent the number of points each unit is expected to contribute to the team's net scoring margin on a neutral field against an average FBS opponent.

In the preseason, these components are made up entirely of data from previous seasons, such as returning starters, past performance, recruiting rankings and coaching tenure (more on the preseason component below). That information allows FPI to make predictions (and make determinations on the strength of a team’s opponents) beginning in Week 1, and then it declines in weight as the season progresses. It is important to note that prior seasons’ information never completely disappears, because it has been proved to help with prediction accuracy even at the end of a season. Vegas similarly includes priors when setting its lines."

As a statistical model it is by definition unbiased.  I'm not sure if it takes data in at the play level (like S&P+) or the drive level (like FEI) or more broadly on based on efficiencies (I suspect this is the case) but like any other statistical model it just says, what did you do against the teams on your schedule (ALL the teams) compared to what other teams did against those teams and how does that, along with some other meaningful data like recruiting rankings and coaching history, inform what you might do in the future.

What this is suggesting is that if Michigan played OSU again on a neutral field right now, OSU would still be favored by about a point (and that would be the case in Vegas which tends to make lines very close to these predictive metrics).  That's a few points less than the model said before The Game so that's a lot of movement.  But what the model is saying is that one game does not necessarily outweigh all the other data which has proven to be also predictive.

The one part of it that is human is the recruiting factor which plugs in ESPNs recruiting rankings but even those have been proven to be pretty accurate predictors of future performance.

Another important thing to keep in mind is that these are predictive rankings and NOT at all resume based.  ESPNs Strength of Record is their resume metric and the CFP tends to closely align with that metric. Like for example TCU is number 10 in FPI but number 1 in SoR and they will of course be ranked top 3 by the committee.

They obviously don't put much into this predictive FPI ranking.

Perkis-Size Me

November 29th, 2022 at 12:10 PM ^

Well this is what we get for ditching E-SEC-PN and heading to FOX/NBC/CBS. 

I won't be too surprised if, in the coming years, you can't even catch highlights of Big Ten games on Sports Center anymore, or if Gameday just stops showing up to any Big Ten location. Maybe scores are mentioned in passing on Sports Center, but if the Big Ten isn't going to give them any games to cover, I'm betting they in turn will do what they can to not even mention the Big Ten as an entity that even exists. 

mi93

November 29th, 2022 at 12:38 PM ^

So Michigan, with wins over #3 and #7 (neither of which was close), is behind 3 teams with one win each among the 'top ten'.

Clearly they should stick to sportsball reporting because they're terrible at maths and logic.  They do not deserve clicks.

rice4114

November 29th, 2022 at 1:43 PM ^

Texas in front of Penn State. Yeah ok. Dont even need to be a fan of a team to see the crap that is going on here.

Bama/Tennessee/Texas (outside of each other ) losses

LSU, Texas tech, Oklahoma st, Tcu, Georgia and South Carolina by 25 points

UM/OSU/Penn state (outside of each other) losses

............

Think about that and the circle jerk those computers must be doing. 

jblaze

November 29th, 2022 at 3:01 PM ^

This is why advanced metrics are dumb with small sample sizes. This isn’t baseball and the teams you play against have the largest influence on ratings/ rankings.