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Chase and the F+

NDinNJ

I've posted how many times?
Nov 23, 2018
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Chase hasn't posted the F+ in the past two weeks, and for good reason. It hasn't fit his narrative, and some of it will leave you scratching your head.

1. Ohio State (Lost to Oregon yet two spots above them. Dumb)
2. Texas
3. Oregon (wtf? should be #1)
4. Ole Miss - 3 losses (😂 LMAO)
5. Notre Dame (Chase's narrative blows up about ND)
6. Georgia - 2 losses at #6 (😂 crazy)
7. Alabama - 3 losses (😂 crazier)
8. PSU
9. Miami
10. Tennessee
11. Indiana
12. South Carolina - 3 losses (😂 craziest)

Is F+ The Onion version of college football ratings. 😂
 
The BCS proxy is still around but you need a TwitterX account.
 
Chase is a shitbag who takes shots at ND at every turn regardless of the variables involved. He’s shown time and time again that he’s only here to criticize versus commend the program in its entirety every step of the way. He should just go **** himself and realize that he’s apparently confused about what program he should be rooting for.
 
Chase hasn't posted the F+ in the past two weeks, and for good reason. It hasn't fit his narrative, and some of it will leave you scratching your head.

1. Ohio State (Lost to Oregon yet two spots above them. Dumb)
2. Texas
3. Oregon (wtf? should be #1)
4. Ole Miss - 3 losses (😂 LMAO)
5. Notre Dame (Chase's narrative blows up about ND)
6. Georgia - 2 losses at #6 (😂 crazy)
7. Alabama - 3 losses (😂 crazier)
8. PSU
9. Miami
10. Tennessee
11. Indiana
12. South Carolina - 3 losses (😂 craziest)

Is F+ The Onion version of college football ratings. 😂
I don’t read any content from chase ball. Same with 4-4-3, 88ND, and savvysassy.

That said, 409 is write, this place needs content no matter how disingenuous it is.

Go Irish.
 
Chase hasn't posted the F+ in the past two weeks, and for good reason. It hasn't fit his narrative, and some of it will leave you scratching your head.

1. Ohio State (Lost to Oregon yet two spots above them. Dumb)
2. Texas
3. Oregon (wtf? should be #1)
4. Ole Miss - 3 losses (😂 LMAO)
5. Notre Dame (Chase's narrative blows up about ND)
6. Georgia - 2 losses at #6 (😂 crazy)
7. Alabama - 3 losses (😂 crazier)
8. PSU
9. Miami
10. Tennessee
11. Indiana
12. South Carolina - 3 losses (😂 craziest)

Is F+ The Onion version of college football ratings. 😂
NO...

F+Z-B/145 or whatever it's called is utter horseshit.

That ranking became the dumbest rating system ever when the final three rankings for the 2018 season were...
1. Alabama
2. Georgia
3. Clemson

Clemson...won the national title...
obliterated Bama...who beat Georgia...

Moreover Georgia lost it's bowl game to Texas. That score was not indicative of the game. Texas DOMINATED that game and Georgia was lucky it was that close.

Yet they had the darlings...the trendy's, the flavor of the decade...the SEC lovies...ranked higher than the team clearly head and shoulders above the entire college football world.
It was even proven on the field which trumps all measurements.

Just not in the alphabet ranking system
 
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He literally posted a thread the other day that this is the best Notre Dame team going by F+ since 2007
It very well might be the best Irish team and honestly if we were using a real passing QB and didn't piss the bed against NIU the media would have us ranked #1

Our running game, defense, etc...is better than anything in the top 5.

Our passing is where the wheels come off.

We are not a top 3 passing team. Not top5, 10, nor top 20.
We aren't in the top 50 for passing.
 
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Yo
NO...

F+Z-B/145 or whatever it's called is utter horseshit.

That ranking became the dumbest rating system ever when the final three rankings for the 2018 season were...
1. Alabama
2. Georgia
3. Clemson

Clemson...won the national title...
obliterated Bama...who beat Georgia...

Moreover Georgia lost it's bowl game to Texas. That score was not indicative of the game. Texas DOMINATED that game and Georgia was lucky it was that close.

Yet they had the darlings...the trendy's, the flavor of the decade...the SEC lovies...ranked higher than the team clearly head and shoulders above the entire college football world.
It was even proven on the field which trumps all measurements.

Just not in the alphabet ranking system
You don’t understand how it works because you don’t understand math
 
Yo

You don’t understand how it works because you don’t understand math
I understand it perfectly fine. It's garbage. It doesn't reward any head to head games near enough. Nor penalize losses near enough.
When you rank an undefeated team @15-0 after the season 3rd...
Behind the team you just obliterated and the team who lost to the team you obliterated...
That's 2+2 = 7 kind of math
 
It very well might be the best Irish team and honestly if we were using a real passing QB and didn't piss the bed against NIU the media would have us ranked #1

Our running game, defense, etc...is better than anything in the top 5.

Our passing is where the wheels come off.

We are not a top 3 passing team. Not top5, 10, nor top 20.
We aren't in the top 50 for passing.
We wouldn't be ranked over Oregon
 
ok Chase.

I understand it perfectly fine. It's garbage. It doesn't reward any head to head games near enough. Nor penalize losses near enough.
When you rank an undefeated team @15-0 after the season 3rd...
Behind the team you just obliterated and the team who lost to the team you obliterated...
That's 2+2 = 7 kind of math
It’s a forward facing predictive model. Just like every other statistical power ratings model used by professional bettors. Just because x beats y doesn’t mean x is going to be power rated above y.

No model is 100 percent accurate. It’s literally impossible.

Ohio state will likely be favored over Oregon if they play again. The lines are efficient
 
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If you want a scatter shot ranking system that averages a lot of contrasting stats, the BCS approximation is still out there. The PC has usually followed it.
 
It’s a forward facing predictive model. Just like every other statistical power ratings model used by professional bettors. Just because x beats y doesn’t mean x is going to be power rated above y.

No model is 100 percent accurate. It’s literally impossible.

Ohio state will likely be favored over Oregon if they play again. The lines are efficient
Piss on your little soybean futures...

I understand what the model it's trying to be...but apparently you aren't understanding this...
The 2018 games had already been played.
Clemson had beaten everyone including two playoff teams.
They beat us 30-3
Not close.
Then one week later beat Alabama and that was equally lopsided.
Clemson finished the season unblemished @ 15-0

The final alphabet ranking comes out and has Bama 1, Georgia 2, Clemson 3

Any system that puts such low emphasis or none on head to head is pure garbage.

If I simply watched the first 6 weeks of the season I could give you a more accurate "future" projection ranking system. Balanced with potential, deserved and the most important, reality!
 
Piss on your little soybean futures...

I understand what the model it's trying to be...but apparently you aren't understanding this...
The 2018 games had already been played.
Clemson had beaten everyone including two playoff teams.
They beat us 30-3
Not close.
Then one week later beat Alabama and that was equally lopsided.
Clemson finished the season unblemished @ 15-0

The final alphabet ranking comes out and has Bama 1, Georgia 2, Clemson 3

Any system that puts such low emphasis or none on head to head is pure garbage.

If I simply watched the first 6 weeks of the season I could give you a more accurate "future" projection ranking system. Balanced with potential, deserved and the most important, reality!
Alabama would’ve been favored over Clemson again after the 44-16 game.

You don’t understand how this works because you don’t understand probability and math
 
I program a range of stats in my job. I've discussed here ELO type ranking systems, which I know very well. I'm just curious about the general methodology of what F+ does?

ELO emphasizes strength of schedule. You get more points getting results off higher ranked opponents. And some factors might be weighed more or less...it depends.

For example, ranking soccer nations is an ELO type system. It has 1 major flaw. The USA and Mexico in CONCACAF are ranked high enough. Playing each other to maintain a high ranking than they objectively deserve.

Croatia in contrast has to play higher ranked European teams in UEFA. There is no weighting for conference strength. There should be...just like they should for college football. Yes, controversial as it sounds, a higher ranked SEC team usually > higher ranked ACC team, so a weight on make the model more accurate.

You could write this a variation of y = mx + b formula, with many more coefficients. Winding up with a score of total points, determining rank.

What is F+ in this context?
 
I program a range of stats in my job. I've discussed here ELO type ranking systems, which I know very well. I'm just curious about the general methodology of what F+ does?

ELO emphasizes strength of schedule. You get more points getting results off higher ranked opponents. And some factors might be weighed more or less...it depends.

For example, ranking soccer nations is an ELO type system. It has 1 major flaw. The USA and Mexico in CONCACAF are ranked high enough. Playing each other to maintain a high ranking than they objectively deserve.

Croatia in contrast has to play higher ranked European teams in UEFA. There is no weighting for conference strength. There should be...just like they should for college football. Yes, controversial as it sounds, a higher ranked SEC team usually > higher ranked ACC team, so a weight on make the model more accurate.

You could write this a variation of y = mx + b formula, with many more coefficients. Winding up with a score of total points, determining rank.

What is F+ in this context?
F+ is half SP+ and FEI.

I’m less familiar with FEI. SP+ is Brian Connellys power ratings. So a team that as rated a 24 is 24 points better than the average team on a neutral field.

F+ is then represented as a standard deviation. So a teams that’s 2.5 is 2.5 standard deviations above the mean
 
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F+ is half SP+ and FEI.

I’m less familiar with FEI. SP+ is Brian Connellys power ratings. So a team that as rated a 24 is 24 points better than the average team on a neutral field.

F+ is then represented as a standard deviation. So a teams that’s 2.5 is 2.5 standard deviations above the mean
And you claim to not be chase.😂 No one cares about f+, except chase, ever.
 
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F+ is half SP+ and FEI.

I’m less familiar with FEI. SP+ is Brian Connellys power ratings. So a team that as rated a 24 is 24 points better than the average team on a neutral field.

F+ is then represented as a standard deviation. So a teams that’s 2.5 is 2.5 standard deviations above the mean
FEI is authored by an ND alum and the webmaster of http://www.bcftoys.com Brian Fremeau. Anyway, here's AIs take on FEI:

The Fremeau Efficiency Index (FEI), created by Brian Fremeau, is a sophisticated college football rating system that measures team performance based on opponent-adjusted drive efficiency. Here are the key components and calculations used in the FEI:

Core Components

  • Possession Efficiency: The FEI analyzes approximately 20,000 possessions annually in FBS vs. FBS games1. It focuses on non-garbage time possessions, filtering out first-half clock-kills and end-of-game garbage drives and scores1.
  • Opponent Adjustments: The system applies adjustments based on the quality of opponents faced, with special emphasis on performances against good teams, regardless of win or loss1.
  • Game Efficiency (GE): This unadjusted measure represents net success on non-garbage possessions1.
Calculation Factors
  • Field Position: The FEI takes into account the starting field position of each drive, recognizing that it impacts the difficulty of scoring2.
  • Opponent Strength: The system evaluates the relative strength of offenses and defenses to provide context for each team's performance2.
  • Adjusted Possession Advantage: This metric represents the scoring advantage a team would be expected to have on an average possession against an average opponent on a neutral field3.
Additional Metrics
  • The FEI system also incorporates several other metrics to provide a comprehensive evaluation:
  • FEI Offense Ratings: Measures the scoring advantage an offense would expect to have per non-garbage possession against an average defense on a neutral field3.
  • FEI Defense Ratings: Calculates the scoring advantage a defense would expect to have per non-garbage possession against an average offense on a neutral field3.
  • FEI Special Teams Ratings: Evaluates the scoring advantage a team's non-offensive and non-defensive units would expect to have per non-garbage possession against an average opponent on a neutral field3.
  • Strength of Schedule: The FEI uses a unique approach to calculate strength of schedule, though the specific methodology is not detailed in the provided search results.
By combining these components and adjusting for various factors, the FEI aims to provide a more accurate representation of team strength than traditional ranking systems. It allows for comparisons between teams that may not have played each other directly and accounts for the varying levels of competition each team faces throughout the season.
 
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  • SP+ is far more granular than FEI (its the micro approach to evaluation) pretty much ignores the final score in games and evaluates teams by their play by play performance.
  • FEI is more of a macro evaluation of teams by assessing their drive by drive performance
Both systems adjust for luck (by mitigating it in the formula) and for opponent quality.

F+ is a combination of both systems (its the holistic view of a team's performance and how a team stands in relation to all other teams) no other ranking system comes close in terms of the number of components that are involved.

Last I heard from an old study that i can't find (talking 10+ years ago) F+ was one of the most accurate out of all advanced ranking systems with a 55%+ accuracy against the spread.
 
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F+ is half SP+ and FEI.

I’m less familiar with FEI. SP+ is Brian Connellys power ratings. So a team that as rated a 24 is 24 points better than the average team on a neutral field.

F+ is then represented as a standard deviation. So a teams that’s 2.5 is 2.5 standard deviations above the mean
FEI is authored by an ND alum and the webmaster of http://www.bcftoys.com Brian Fremeau:

The Fremeau Efficiency Index (FEI), created by Brian Fremeau, is a sophisticated college football rating system that measures team performance based on opponent-adjusted drive efficiency. Here are the key components and calculations used in the FEI:

Core Components
  • Possession Efficiency: The FEI analyzes approximately 20,000 possessions annually in FBS vs. FBS games1. It focuses on non-garbage time possessions, filtering out first-half clock-kills and end-of-game garbage drives and scores1.
  • Opponent Adjustments: The system applies adjustments based on the quality of opponents faced, with special emphasis on performances against good teams, regardless of win or loss1.
  • Game Efficiency (GE): This unadjusted measure represents net success on non-garbage possessions1.
  • Calculation Factors
  • Field Position: The FEI takes into account the starting field position of each drive, recognizing that it impacts the difficulty of scoring2.
  • Opponent Strength: The system evaluates the relative strength of offenses and defenses to provide context for each team's performance2.
  • Adjusted Possession Advantage: This metric represents the scoring advantage a team would be expected to have on an average possession against an average opponent on a neutral field3.
Additional Metrics
  • The FEI system also incorporates several other metrics to provide a comprehensive evaluation:
  • FEI Offense Ratings: Measures the scoring advantage an offense would expect to have per non-garbage possession against an average defense on a neutral field3.
  • FEI Defense Ratings: Calculates the scoring advantage a defense would expect to have per non-garbage possession against an average offense on a neutral field3.
  • FEI Special Teams Ratings: Evaluates the scoring advantage a team's non-offensive and non-defensive units would expect to have per non-garbage possession against an average opponent on a neutral field3.
  • Strength of Schedule: The FEI uses a unique approach to calculate strength of schedule, though the specific methodology is not detailed in the provided search results.
By combining these components and adjusting for various factors, the FEI aims to provide a more accurate representation of team strength than traditional ranking systems. It allows for comparisons between teams that may not have played each other directly and accounts for the varying levels of competition each team faces throughout the season.
Chase, you have no shame. You continue this charade, talking to yourself like an idiot.
 
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F+ is half SP+ and FEI.

I’m less familiar with FEI. SP+ is Brian Connellys power ratings. So a team that as rated a 24 is 24 points better than the average team on a neutral field.

F+ is then represented as a standard deviation. So a teams that’s 2.5 is 2.5 standard deviations above the mean
And those are two completely opposite in perspective systems.


FEI means efficiency which is a completely backwards looking stat that measures how a drive ended up, not how it went. I.e. if a team drives 99 yards and fumbles the ball, they are inefficient.


S&P is an average of several stats that tries to predict a team's success rate. It is closer to what Vegas does but not as good.

So F+ is an average of a about a dozen stats from different perspectives. I don't know why it is any better than any other group average.
 
And those are two completely opposite in perspective systems.


FEI means efficiency which is a completely backwards looking stat that measures how a drive ended up, not how it went. I.e. if a team drives 99 yards and fumbles the ball, they are inefficient.


S&P is an average of several stats that tries to predict a team's success rate. It is closer to what Vegas does but not as good.

So F+ is an average of a about a dozen stats from different perspectives. I don't know why it is any better than any other group average.
I posted how FEI is measured (above) you are grossly over simplifying

Much of the nuts and bolts of these systems are purposefully not shared for competitive reasons. These systems used to be far more transparent back when they were published on independent statgeek websites which is why i have some general idea of how they are measured beyond what research can find today.

Anyway, SP+ measures play by play performance, FEI measures drive by drive performance (which is why they pair up so nicely but even how these systems are combined exactly isnt entirely known)

Things like turnovers (which are high variance outcomes) are weighted in the formula-- based on the type of turnover involved--and teams are credited for the positive yards in their plays and for the performance in their drives regardless if the drive ultimately ended up in a turnover.
 
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Best line is “adjusts for luck”
Yes "adjusts" or "neutralizes" for luck

Basically these systems separate 'skill' from 'luck' in the performance by ranking teams as if they were all on the receiving end of the same amount of good or bad luck (which means eliminating the impact luck has on the performance of the team) so that they can better understand what teams are good at football and not just good at being benefactors of a bunch of lucky events that happened to go their way.

As an example lets take two separate teams playing in two separate games:

Team 1 had 70 above average plays, and 6 above average drives, but had 3 unforced turnovers, -30 yards in unforced penalties (roughing the passer, a late hit, etc.), and lost the game

Team 2 had 55 above average plays, and 4 above average drives, but had no turnovers, had a pick 6 on a deflected pass, and was the benefactor of a shanked punt and 2 easy missed field goals and won the game

Team 1s opponent was Alabama
Team 2s opponent was Wisconsin

Team 1 obviously outperformed team 2, but team 2 was just far more lucky so despite Team 1 losing, they might have even increased their F+ rating for the week more than Team 2 did.

This is an oversimplified example, and not all special teams gaffes and turnovers are excused away as bad luck in the formula but i hope you get the point im making regardless
 
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Yes "adjusts" or "neutralizes" for luck

Basically these systems separate 'skill' from 'luck' in the performance by ranking teams as if they were all on the receiving end of the same amount of good or bad luck (which means eliminating the impact luck has on the performance of the team) so that they can better understand what teams are good at football and not just good at being benefactors of a bunch of lucky events that happened to go their way.

As an example lets take two separate teams playing in two separate games:

Team 1 had 70 above average plays, and 6 above average drives, but had 3 unforced turnovers, and lost the game

Team 2 had 55 above average plays, and 4 above average drives, but had no turnovers, had a pick 6 on a deflected pass, and was the benefactor of a shanked punt and 2 easy missed field goals and won the game

Team 1s opponent was Alabama
Team 2s opponent was Wisconsin

Team 1 obviously outperformed team 2, but team 2 was just far more lucky so despite Team 1 losing, they might have even increased their F+ rating for the week more than Team 2 did.

This is an oversimplified example, and not all special teams gaffes and turnovers are excused away as bad luck in the formula but i hope you get the point im making regardless
No mention of head to head. Garbage system.
 
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