We’re back for another week! The projection models combined for a solid 16-5 record last week, two games above the expected 14-7 record. We’ll see how well this holds up, but it’s a nice start. Below is the same intro from last week; the picks follow.
I’ve been working on a projection model for the last few months that, hopefully, will help make an unpredictable sport slightly more predictable. Using past performance, I’ve combined the two known projection models in Tennessee high school football: Sonny Moore’s Power Ratings and Cal Preps, which also operates as Max Preps. These are two very different models. The Cal Preps model covers all schools in the United States, so it adjusts ratings to the national average. By proxy, there are several more Tennessee schools considered below average than Sonny Moore’s ratings would suggest. Moore’s ratings are Tennessee exclusive.
With that in mind, we’ve blended a national and state model to attempt to produce a good product. I’m looking into creating my own model based on something resembling Bill Connelly’s S&P+, but it’s very hard to do so until coaches and teams begin to submit more fully-realized statistical data. Until then, we’re using this.
I’ve included my spreadsheet at the end so you can peruse some of the data I’ve got. Here’s a legend for reading everything you’ll see below:
- Excitement Score: A score that calculates a team’s program quality and success based on wins over the last four years. Formula goes like this: 2016 wins + 2015 W*0.7 + 2014 W*0.4 + 2013 W*0.2 = total.
- Power Score: The combined ratings of the two teams. Higher = better quality game.
- Combined: Excitement Score + Power Score.
- Projected Total: The amount of total points scored in the game per a projection combining last year’s data with adjustments based on returning production. We can’t get comprehensive production numbers for most of these teams, but I’ve tried to assemble projected points scored and allowed as best I can.
- Projected Outcome: Projected scoring margin. If it has a minus/negative sign in front of it, that means the home team is favored.
- Away, Home, and Favorite Win%: Based on a formula I whipped up and was able to test with solid success, the likelihood that the away or home team (and the favored team) will win the game.
- S&P+ Win%: Using Bill Connelly’s S&P+ data, the projected likelihood of the favored team winning the game.
Last week’s results called 16 of 21 games correctly. They missed on David Crockett over Seymour (47.5% chance of happening per S&P+), Christ (NC) over CAK (44%), Austin-East over Gibbs (34.3%), Lenoir City over William Blount (31.4%), and Clinton over Scott (24.8%). At least four of those had solid potential to happen, and the only real surprise was the Clinton win. Here’s how each level of win probability fared:
- 50-59% (7 games, exp. record 3.75-3.25): 5-2
- 60-69% (3 games, exp. record 1.97-1.03): 1-2
- 70-79% (5 games, exp. record 3.68-1.32): 4-1
- 80-89% (3 games, exp. record 2.56-0.44): 3-0
- 90-99% (3 games, exp. record 2.95-0.05): 3-0
Not bad at all. We need at least five more weeks of data to see if we’re heading in the right direction.
Now, onto the games:
Thursday
Jefferson County 28.2, Morristown East 22.2 (Model 61%, S&P+ 63.5%) (Game already played; Jefferson County won 26-6.)
Friday
Oakland 28.8, Maryville 27.2 (Model 52.8%, S&P+ 53.6%)
Baylor 27.8, Knox Catholic 26.8 (Model 51.8%, S&P+ 52.2%)
Fulton 32.9, Central 21.4 (Model 71%, S&P+ 74.6%)
Farragut 36.8, McMinn Co. 20.8 (Model 79.4%, S&P+ 82.3%)
Greeneville 31, Morristown West 25 (Model 61%, S&P+ 63.5%)
Greenback 31.4, CAK 29.3 (Model 53.8%, S&P+ 54.9%)
Oak Ridge 30.8, Dobyns-Bennett 29.4 (Model 52.5%, S&P+ 53.2%)
Bearden 32.2, Cleveland 23.1 (Model 66.7%, S&P+ 70.1%)
Hardin Valley 25.3, West 10.7 (Model 76.6%, S&P+ 80.1%)
Campbell County 30.7, David Crockett 16.5 (Model 76.1%, S&P+ 79.4%)
South-Doyle 38.2, Cherokee 22.8 (Model 78.2%, S&P+ 81.3%)
Heritage 25.8, Sevier County 24.4 (Model 52.6%, S&P+ 53.3%)
Grace Christian 31.6, King’s Academy 23.5 (Model 64.8%, S&P+ 68%)
Oneida 31.4, Gatlinburg-Pittman 24.2 (Model 63.1%, S&P+ 66.2%)
Sullivan North 34.1, Northview 29.1 (Model 59.2%, S&P+ 61.4%)
Anderson County 37.2, William Blount 24.8 (Model 72.7%, S&P+ 76.3%)
Carter 42.4, Cocke County 24.3 (Model 83.1%, S&P+ 85%)
Clinton 31.8, Seymour 27 (Model 58.9%, S&P+ 61%)
Grainger 28, Pigeon Forge 23.5 (Model 58.2%, S&P+ 60.3%)
Austin-East 47.9, Brainerd 8 (Model 99.9%, S&P+ 99%)
Karns 37.5, Halls 22.2 (Model 78%, S&P+ 81.1%)
Kingston 34.8, Oliver Springs 15.8 (Model 84.8%, S&P+ 86.4%)
Lenoir City 26.3, Loudon 19.4 (Model 62.6%, S&P+ 65.5%)
Powell 33.5, Cumberland County 16.7 (Model 80.7%, S&P+ 83.4%)
Webb 44.1, Asheville (NC) 7.7 (Model 99.9%, S&P+ 98.2%)
Saturday
Corbin (KY) 26.6, Alcoa 26.1 (Model 50.9%, S&P+ 51.1%)
There are a TON of toss-up type games this week that could go either way. That’s awesome, because it means there should be very few blowouts. Here’s what the models expect this week:
- 50-59% (9 games!): 4.91 wins, 4.09 losses
- 60-69% (6 games): 3.79-2.21
- 70-79% (7 games): 5.32-1.68
- 80-89% (3 games): 2.49-0.51
- 90-99% (2 games): 1.99-0.01