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I'll keep this as brief as possible as it's slightly numbers heavy. In a nut shell, there are early lines available for all Notre Dame games but Wake Forest and Navy. Why Wake Forest and Navy? Because we are too big of a favorite for them to put out a reasonable line this early. So we can chalk those up as wins (yes... we are chalking up Navy as a win... DEAL WITH IT). Using standard point spread to moneyline conversions, we get the expected probability of Notre Dame winning each game on its schedule. As you should all be well aware, Vegas is (typically) correct half of the time and incorrect half of the time (basically following normal standard deviation rules) and as such can be used as quite a reliable predictor of rough probability over the course of large period of games. In this case, that period will be the Notre Dame regular season:
ND -8 vs. South Florida = .7826
ND -3.5 @ Michigan = .6364
ND -8.5 vs. Michigan St = .7826
ND -10 @ Purdue = .8182
ND -4 vs. USC = .6667
Stanford -5 vs. ND = .2941
ND -4.5 @ Pitt = .6875
ND -10 vs. Air Force = .8182
ND -8.5 @ Maryland = .7826
ND –infinity vs. Wake Forest = 1.0
ND –infinity vs. Navy = 1.0
ND -8 vs. BC = .7826
Add all those up and you get an expected wins total of 9.0515 wins. Not too bad huh? Well it gets better. Brian Kelly has outperformed the spread over his career as a BCS coach. In the four years he has coached at Cincinnati and Notre Dame he is roughly 27-21 ATS. Doesn't sound awesome... but basically he outperforms expected results by 12.5% which is a big deal. Increase 9.0515 by 12.5% (this is fuzzy math...) and you get 10.1829 wins.
The bottom line? People thinking 9 to 10 wins are backed up the individual game odds. It should also make people fairly confident betting the OVER on 8.5 wins if you're that kind of person.
One last point of interest... Notre Dame is a substantial favorite (1 score+) in 8 of 12 games, an underdog in only one and greater than 3 point favorite in all others. On "expected result" analysis ND wins all 8 games where it's a heavy favorite 2 out of 3 where it is a greater than 3 point favorite and loses the one where it is a greater than 3 point underdog. What does that add up to? 10 wins.
People should find 9 wins acceptable, 10 wins expected and 11 wins exceptional. 8 wins would be a sore disappointment and 12 would be a ridiculous over-performance. At least that's what the fuzzy math says
ND -8 vs. South Florida = .7826
ND -3.5 @ Michigan = .6364
ND -8.5 vs. Michigan St = .7826
ND -10 @ Purdue = .8182
ND -4 vs. USC = .6667
Stanford -5 vs. ND = .2941
ND -4.5 @ Pitt = .6875
ND -10 vs. Air Force = .8182
ND -8.5 @ Maryland = .7826
ND –infinity vs. Wake Forest = 1.0
ND –infinity vs. Navy = 1.0
ND -8 vs. BC = .7826
Add all those up and you get an expected wins total of 9.0515 wins. Not too bad huh? Well it gets better. Brian Kelly has outperformed the spread over his career as a BCS coach. In the four years he has coached at Cincinnati and Notre Dame he is roughly 27-21 ATS. Doesn't sound awesome... but basically he outperforms expected results by 12.5% which is a big deal. Increase 9.0515 by 12.5% (this is fuzzy math...) and you get 10.1829 wins.
The bottom line? People thinking 9 to 10 wins are backed up the individual game odds. It should also make people fairly confident betting the OVER on 8.5 wins if you're that kind of person.
One last point of interest... Notre Dame is a substantial favorite (1 score+) in 8 of 12 games, an underdog in only one and greater than 3 point favorite in all others. On "expected result" analysis ND wins all 8 games where it's a heavy favorite 2 out of 3 where it is a greater than 3 point favorite and loses the one where it is a greater than 3 point underdog. What does that add up to? 10 wins.
People should find 9 wins acceptable, 10 wins expected and 11 wins exceptional. 8 wins would be a sore disappointment and 12 would be a ridiculous over-performance. At least that's what the fuzzy math says