I have gotten many requests to do a blog to explain how I compute each teams home field edge in the magazine. I have 27 different factors in my computer’s grade of a team. I then compare the computer’s analysis to my own and make the final decision.

While I mention that there are 27 factors in my home field computer ratings, there are actually nine individual factors that I use each year and I then combine the grades for the last three years giving half of the grade to last year, 30% to the numbers from two years ago and 20% to the computer rankings from three years ago.

Today I will go over the nine different areas that I use to rate home field edge. The first category is the stadium capacity. The largest stadium in the country last year was Penn St which held 107,282 and my computer gave them the maximum score of 6 for that category. My home field edges go from 0 to 6 in the magazine so they have the same scale in the computer. The smallest capacity is Idaho’s Kibbie Dome which seated just 16,000 and they received a 0 in that category. The rest of the capacities are done with a simple equation of Capacity-16,000 divided by 15,250. The reason I divide by 15,250 is that Penn St at 107,282-16,000 = 91,282 and 91,282 divided by 6 (0-6 scale) = 15,214 and I rounded up to get the 15,250. You can figure out what your favorite team is graded in this category by using this simple equation.

The second category is actual attendance reported by the school in 2010. Once again Michigan was at the top with 111,825 and this time the team at the bottom was Ball St which averaged just 8,947 fans per game last year. I used the same method as above to turn this data into a 0 to 6 rating where Michigan received a 6, Ball St a 0 and as an example Florida St with an attendance of 71,270 earned a 4.15 grade. Read more…

I have been publishing a Most Improved Teams list since 1999 and the list hit a home run that very first year. I pegged Hawaii as my #1 Most Improved Team and they were coming off an 0-12 record in 1998. The then “Rainbow Warriors” simply set an NCAA record for largest improvement ever by going to 9-4 in 1999!

This year there are 16 teams on my Most Improved List and these are all teams that had losing records last year but ones I believe will be bowl eligible this year. Last season I had 19 teams on the list and 13 of them were bowl eligible at the end of the year with 17 of them improving their record! Do you think it is easy picking teams with losing records that will have a winning record the next year?

I went back to 1992 and there have been 969 teams that had a losing season. Of those 969 teams only 279 had a winning record the next year which is 28.8%. That means if a team is coming off a losing season there is over a 70% chance that they will have another losing record the next year!

Over the last nine years 109 of the teams that have made my Most Improved List have been bowl eligible the next year. In that same nine-year span there have been 475 teams with a losing record and of those 475 only 129 have gone onto a winning record (above .500) the next season (27.1%). Of those 129 teams, 79 of them were on my Most Improve List. Now you do the math here but as you can see very few teams go from a losing record to a bowl the next year if they are not on my Most Improved list.

This blog is about the one that got away. Read more…

A lot of people ask me if I have a favorite team. I was born and raised and still live in Cleveland, Ohio. I was a fan of many teams as a child but now that I put out a National magazine, I cannot afford to be a fan of any team. I have to pick the teams where I think they will finish each year. I was doing a radio show last week and I was asked if I have a favorite team or teams. My response was a strong YES! The interviewer was surprised by that answer and also eager to hear which team I would pick. My answer was my favorite team each year is the team I pick #1 in the magazine and my favorite teams are the ones I have picked higher than all the other major magazines out there. I then said that each year I establish a list of my favorite teams for that year. I then give this list to my wife. I wear a shirt and tie to work every day during the week and my tie is always a college team. I wear polo shirts during the weekend and when not at work and they are always different college teams. The list I give my wife is the ones to buy that I will be wearing for the upcoming year as these are the teams I will be the biggest fan of for the upcoming season. I was then asked “What teams will your wife be buying ties and shirts of this year? That was a great question and I thought I would answer it in a blog. Read more…

I have gotten many requests to do a blog to explain how I compute each teams home field edge in the magazine. I have 27 different factors in my computer’s grade of a team. I then compare the computer’s analysis to my own and make the final decision.
While I mention that there are 27 factors in my home field computer ratings, there are actually nine individual factors that I use each year and I then combine the grades for the last three years giving half of the grade to last year, 30% to the numbers from two years ago and 20% to the computer rankings from three years ago.

Today I will go over the nine different areas that I use to rate home field edge. Read more…

Today’s blog will continue with my series of analyzing the most/least improved units over the last 20 years. Each day this week I will have a new offensive or defensive statistical category to examine and today I will breakdown offensive pass yards.

There are many factors that contribute to a significant change in pass yards. First, a new coach may come in and prefer a more pass-oriented attack than the previous coach. Naturally a lot more passing attempts will usually equal a lot more yards. Similarly you may see a significant drop in pass yards if the new coach features a run-heavy offense than the previous coach. Read more…

All week long I will be taking a look at the conference teams of the decade for 2000-2009. Factored into my analysis will be conference win %, conference and division titles, bowl games and bowl wins. I will also include BCS bowl wins, final AP rankings and number of national championships for the major conferences. There have been several teams who have changed conferences during that time and I will include them in the analysis for any season(s) they were affiliated with that certain conference. I will also be doing a breakdown of how the conference did in bowl games during the decade and I will emphasis the overall win/loss record, the number of BCS bowl wins, and the records against Non-BCS and ranked bowl teams.

While some conferences may have no-brainers as the top team, other conferences were very competitive over the past decade. Here is the schedule for the upcoming week with the conferences I will be analyzing on each date. Read more…

My 2010 College Football Preview Magazine has so much information in it that it would take months to go thru it all. It is like 120 media guides rolled into one. 

Magazine is a loose term for it as the Preview is more like a book with over 100 pages more than any other college football magazine. Not only does it have more pages but the magazine has 2 to 3 times the amount of information on each page! That gives my magazine 3 to 4 times the amount of information of any other magazine!

I mention all of this because there are even parts of the magazine that I myself forget about during the year. Every spring once I have finished my conference write ups, Top 40, All-American and All-Conference Teams I wrap up the “other” pages in the magazine. One of those pages that I find a lot of fun is the projected stats which is on page 324 and 327. Read more…

Turnovers can have a huge impact on games and on a team’s season. They can also lead to many misleading final scores. During the season I list all of the previous week’s misleading final scores on PhilSteele.com in my Monday Daily Blog. By reading about them each week you can uncover some underrated and overrated teams throughout the season.

Here are a couple of examples from last year. Iowa St benefitted from +8 in TO’s vs Nebraska and pulled out a 9-7 win. Nebraska turned it over 4 times inside the 5 yard line and lost despite a 362-239 yard edge. The next 2 weeks Iowa St was overrated and they lost by a combined 69-18 vs Texas A&M and Oklahoma St despite only being slight underdogs in each.

Florida St appeared to pummel BYU 54-28 on the road but they only had a 512-475 yard edge as they benefitted from +5 in TO’s. The next week FSU entered the Top 25 but lost to USF at home as a 2 TD favorite 17-7 and BYU bounced back with a 42-23 whipping of Colorado St.

Turnovers can not only make a difference in a game but can make the difference between a winning and losing season. Read more…

In the past several blogs I have been breaking down each factor that goes into my New and Improved Experience Chart and today I conclude the series by combining the five factors into my final ranking.

For more than 7 years I have listed an experience chart, which broke down the number of seniors, juniors, sophomores and freshmen each team had in the two deep and rated the teams experience level with a formula I devised. Last year I made the experience chart FIVE TIMES better.

We still do the exact same chart but now I just list the Senior starters, the rest of the seniors in the two deep and the points accumulated by using the system I used from 2002-‘08. In the chart listed below I have now included 4 other factors. The 2nd factor listed in the chart below is the % of lettermen returning. I devised a point system for this and explain it in depth on page 319 of this year’s magazine. Also added was the % of returning offensive yards. I took the total yards passing, rushing and receiving for each team and divided out the yardage of the returning players and the yards returning % listed below is that figure. I did the same with the total tackles from last year and the % of tackles returning. This gives us an idea of the defense’s experience. The final factor is the career starts returning for the offensive line. These players are not included in the stats but are a vital part of the offense. Read more…

In my 2009 College Preview Magazine on pgs 324 and 327 I included my computer’s projected stats in 2009 for all 120 FBS teams. There were several different categories including rush offense/defense, pass offense/defense, offensive pts and defensive pts.

On the right hand side of the page I listed the teams that my computer projected to be most improved in ’09 compared to ’08 season in 6 different categories. I had them ranked in order from Most Improved all the way down to the Least Improved and included the top 15 in each category along with the bottom 5.

In today’s blog I have included my projections of the teams I thought would be most improved in pass defense heading into the 2009 season and how they finished in the final NCAA rankings.

In the coming days I will feature a different category in each blog and I think you will be impressed with the results of the accuracy of my projections.

Read more…