People saying ND has no shot of blowing pitt out because of the score of past seasons? You cant pull stats from 7 years ago and assume they some how can correlate to what this game will bring.
ND 28
PITT 14
I disagreed with this and stated so below. For many reasons I value statistics. Others do to as it is the source of a billion dollar industry in gambling.
Yes you can. That is what statistics are used for. To analyze trends. If ND were to blow out Pitt, it would be a statistical anomaly. ND is giving no more than 5 points on the current lines. I would bet ND wins by 6.
ND 30
Pitt 24
For many reasons and according to people who know much more about predicting outcomes, the spread for this game is 4-5 roughly. This is basically the spread of the games for the last 5 years.
See that ridiculous, im sorry you cant say that and believe 5,6,7 years ago has any bearing on this game what so ever
What happened in the games 5,6,7 years ago? Those games don't bear directly on this game, however he is dismissive of historical stats and trends which I provide below.This includes intangibles such as "team identity" tendencies, the culture of the program...
Math is not ridiculous. It is one of the few things that we can represent some modicum of "reliability" on.
For example:
Pitt since 2007 is averaging roughly 26 points per game offensively and is giving up roughly 21 points per game. The Irish are also averaging roughly 26 points per game offensively since 2007 including 16 ppg in 2007. ND is averaging 22 ppg defensively.
So over the last 7 years Pitt and ND are equal on both sides of the ball in ppg. This is one example. Not to mention that the margin of victory is very low and there have been 2 OT games.
2013 FEI
ND SOS Rank =39
Pitt SOS Rank = 14
ND OFEI Rank = 14
Pitt OFEI Rank = 79
ND DFEI = 31
Pitt DFEI = 38
The 5 year PFEI
ND = 0.174
Pitt =0.130
69.0% PWE :: Notre Dame 30, PITTSBURGH 18 (This does not take into account our current injuries and loss of defensive starters)
Everything points to a tight game (<7 points MOV in my opinion). Particularly what Pitt has done against a stronger schedule from an efficiency stand point.
My conclusion of why one can rely on math to support an opinion is bolded above.
I believe his point is that 7 years ago has no bearing on this year because the players are all different and the coaching staffs are almost entirely different. What happened in 2007 doesn't inform us about anything that can/will take place on the field this Saturday.
You echo his sentiment and do not address my point.
I understand what he is saying. And I am saying his point is an eye test and that stats mean more than what he thinks.
He provides no evidence other than saying no one can predict the outcome of the game. I agree. I would be rich if I could. His dismissive attitude of the weight of historical trends and stats plus the current performance of both teams are used to set the money making structure of a billion dollar industry.
It's not an eye test. It's objective, empirically derived data. Your statistics don't acquire a special status by virtue of expression in number form.
In the absence of evidence to the contrary, my intuitive leaning is that data from college football games from 5, 6, 7 years ago will not improve our ability to forecast results of future games.
Maybe I misunderstood this statement? I don't see any objective, empirically derived data except that which I provided. Statistics do have a wonderful virtue of having the ability to be applied in a number of ways to predict behavior. So it is contradictory in that what rikkitikki said did not provide any evidence for his opinion and was dismissive of the historical trends plus the current trends as provided by professionals who make their living off of analyzing data. It is an eyeball test in the absence of evidence.
How is it contradictory?
I know you're not just using data from 5-7 years ago. I am strongly skeptical those years should be included in the data set at all. I suppose if that's what FEI uses for their modeling there must be some level of QC there (as in, it's non-arbitrary and involves weighting based on positive correlation). I am aware of confidence intervals. Your posts presume they are appropriately addressed. Do you have any idea how FEI addresses them or the methodology for incorporating or excluding data sets?
"The Fremeau Efficiency Index (FEI) considers each of the nearly 20,000 possessions every season in major college football. All drives are filtered to eliminate first-half clock-kills and end-of-game garbage drives and scores. A scoring rate analysis of the remaining possessions then determines the baseline possession efficiency expectations against which each team is measured. A team is rewarded for playing well against good teams, win or lose, and is punished more severely for playing poorly against bad teams than it is rewarded for playing well against bad teams.
Game Efficiency (GE) is the composite possession-by-possession efficiency of a team over the course of a game, a measurement of the success of its offensive, defensive, and special teams units’ essential goals: to maximize the team’s own scoring opportunities and to minimize those of its opponent. FEI ratings take the season-long GE data and adjust for opponent, placing special emphasis on quality performance against good teams, win or lose.
Other definitions:
SOS Pvs: Strength of schedule based on the likelihood of an elite team going undefeated against the given team's schedule to date.
SOS Fut: Strength of schedule based on the likelihood of an elite team going undefeated against the given team's remaining schedule.
FBS MW: Mean Wins, the average number of games a team with the given FEI rating would be expected to win against its entire schedule.
FBS RMW: Remaining Mean Wins, the average number of games a team with the given FEI rating would be expected to win against its remaining schedule.
OFEI: Offensive FEI, the opponent-adjusted efficiency of the given team's offense.
DFEI: Defensive FEI, the opponent-adjusted efficiency of the given team's defense."
The stats I provided are adjusted and weighted accordingly and present a well rounded picture of each teams current performance on the field, as well as historically.
This plus a cursory analysis of the historical stats from each team show that the teams are performing similar to the last 5 years for whatever reason. I
readily admit anything could happen (ala USF game). I hope that we kick seven shades of shits out of Pitt, I just have confidence that it will be a close game.