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Message
Sev09's football computer rankings - 2013 season (X-Post from the SECr)
Posted on 7/28/14 at 4:21 pm
Posted on 7/28/14 at 4:21 pm
Hey guys,
Being the computer/stats geek that I am, I decided to come up with my own objective rankings of college football teams.
Here are the results of my logic applied to the final stats of the 2013 season. I will be posting these computer rankings each week starting in week 6 of the 2014 season.
Let me know what you think - maybe I can tweak some things for accuracy. I'll answer any questions as well.
It's both simple and complicated at the same time. I'll start at the most granular level.
1.) Compute Rushing Power and Passing Power of each team. These are each calculated using important stats such as passing yards, completion %, Passing TDs, rushing yards, rushing tds, etc. MINUS interceptions and fumbles lost, times a multiplier, for passing and rushing power, respectively.
2.) Calculated average of Rushing and Passing Power to calculate Offense Power Index (OPI).
3.) Calculate Oppositions' rushing and passing power against, which measures the teams Defense Power Index.
4.) Defense Power Index (DPI) is then adjusted with additional considerations such as sacks, interceptions, forced fumbles, TFL, etc. for a small addition of "Defense Style Points". This correction takes into consideration the "eyeball test" and other physicality stats. After this correction, the DPI and OPI of the best teams are around 90-100 in either category, depending on their strengths.
5.) Power Index (PI) is then calculated as an average of the OPI and DPI. There are also certain measures in place, for example: If a team has a DPI of over 90, the DPI will be weighted more heavily in the PI calculation, since that is an outstanding number. Vice Versa for OPI > 90.
6.) After these detailed calculations, sort the teams by wins (descending), losses (ascending), and PI (descending).
7.) Then, I rank the conference's SOS by calculating the average ranking per conference, and assign relative Win/Loss multipliers.
8.) These Win/Loss multipliers are then applied to each teams' WL record.
9.) FINALLY, the final rankings are calculated as [Adjusted Wins] * (1 + (0.01*[PI]), descending.
These detailed calculations account for a team's true strength and capabilities. In theory, of course. I can't wait to see the results.
Click HERE for much more detailed rankings, with mentioned Power Indexes, etc.
Being the computer/stats geek that I am, I decided to come up with my own objective rankings of college football teams.
Here are the results of my logic applied to the final stats of the 2013 season. I will be posting these computer rankings each week starting in week 6 of the 2014 season.
Let me know what you think - maybe I can tweak some things for accuracy. I'll answer any questions as well.
quote:
What's your formula?
It's both simple and complicated at the same time. I'll start at the most granular level.
1.) Compute Rushing Power and Passing Power of each team. These are each calculated using important stats such as passing yards, completion %, Passing TDs, rushing yards, rushing tds, etc. MINUS interceptions and fumbles lost, times a multiplier, for passing and rushing power, respectively.
2.) Calculated average of Rushing and Passing Power to calculate Offense Power Index (OPI).
3.) Calculate Oppositions' rushing and passing power against, which measures the teams Defense Power Index.
4.) Defense Power Index (DPI) is then adjusted with additional considerations such as sacks, interceptions, forced fumbles, TFL, etc. for a small addition of "Defense Style Points". This correction takes into consideration the "eyeball test" and other physicality stats. After this correction, the DPI and OPI of the best teams are around 90-100 in either category, depending on their strengths.
5.) Power Index (PI) is then calculated as an average of the OPI and DPI. There are also certain measures in place, for example: If a team has a DPI of over 90, the DPI will be weighted more heavily in the PI calculation, since that is an outstanding number. Vice Versa for OPI > 90.
6.) After these detailed calculations, sort the teams by wins (descending), losses (ascending), and PI (descending).
7.) Then, I rank the conference's SOS by calculating the average ranking per conference, and assign relative Win/Loss multipliers.
8.) These Win/Loss multipliers are then applied to each teams' WL record.
9.) FINALLY, the final rankings are calculated as [Adjusted Wins] * (1 + (0.01*[PI]), descending.
These detailed calculations account for a team's true strength and capabilities. In theory, of course. I can't wait to see the results.
Click HERE for much more detailed rankings, with mentioned Power Indexes, etc.
This post was edited on 7/28/14 at 4:53 pm
Posted on 7/28/14 at 4:23 pm to Sev09
This is neat, but what is the criteria?
Posted on 7/28/14 at 4:24 pm to Sev09
I feel like you left us hanging. At least give us some explanation where the results came from...
But I love looking at things like this and enjoy doing it myself as well.
But I love looking at things like this and enjoy doing it myself as well.
Posted on 7/28/14 at 4:24 pm to Sev09
quote:How do you arrive at your conclusions? What type of formula do you use?
I'll answer any questions as well.
Posted on 7/28/14 at 4:27 pm to Sev09
Just a couple of things that seem odd
Oklahoma at 17?
Baylor ahead of UCF (this one is not too outrageous, makes some sense)
Ohio State at 5, Clemson at 15... Huh?
Tennessee at 81 and Florida at 88, it seems like record plays a huge role, but there's no way teams like Texas State at 6-6 should be ahead of them
Likewise, Cal and Purdue sucked and had 1 win, but they are miles better than crappy teams like New Mexico State
Oklahoma at 17?
Baylor ahead of UCF (this one is not too outrageous, makes some sense)
Ohio State at 5, Clemson at 15... Huh?
Tennessee at 81 and Florida at 88, it seems like record plays a huge role, but there's no way teams like Texas State at 6-6 should be ahead of them
Likewise, Cal and Purdue sucked and had 1 win, but they are miles better than crappy teams like New Mexico State
This post was edited on 7/28/14 at 4:29 pm
Posted on 7/28/14 at 4:28 pm to Sev09
You've got Ole Piss way too damn high. The formula should never let them above 60, if it is to be considered trustworthy.
Posted on 7/28/14 at 4:38 pm to OTIS2
I'm definitely open to suggestions in changes to the formula (and OTIS, this isn't necessarily directly at you), but please keep in mind that this is a ranking based on a team's true power and capabilities.
It's not based on Team X beat Team Y in a miracle, so Team X should be ranked ahead of them.
It's very stat-oriented, with adjustments based on the conference you play in.
It's not based on Team X beat Team Y in a miracle, so Team X should be ranked ahead of them.
It's very stat-oriented, with adjustments based on the conference you play in.
Posted on 7/28/14 at 4:49 pm to Sev09
26 Duke
27 ECU
62 North Carolina
104 North Carolina State
Don't you change a thing.
27 ECU
62 North Carolina
104 North Carolina State
Don't you change a thing.
Posted on 7/28/14 at 4:55 pm to Sellecks Moustache
quote:
26 Duke
27 ECU
62 North Carolina
104 North Carolina State
Don't you change a thing.
Duke had a great year.
Posted on 7/28/14 at 5:09 pm to Sev09
Something about your criteria seems off. Just an example (which I and many other posters on here might find interesting, since it involves our two teams). Both Notre Dame and ULL finished 9-4 last year. ND's schedule was miles tougher. Yet ULL is ranked 40th and ND is 41st. Really don't know how that happened. I'm sure there are other examples, but that just jumped out quickly to me.
Posted on 7/28/14 at 5:36 pm to Buckeye Fan 19
quote:
Yet ULL is ranked 40th and ND is 41st. Really don't know how that happened.
Valid argument. Looking at the detailed data:
Rank Name Wins Losses Adjusted Wins Adjusted Losses Power Index Offense Power Index Defense Power Index
40 Louisiana-Lafayette 9 4 8.775 4.1 68.35 62.73 77.48
41 Notre Dame 9 4 9 4 58.67 35.72 81.62
Looks like ULL had much better stats in order to score 10 points higher. Anyways, I think this is enough for me to look back and see about reworking some things.
Posted on 7/28/14 at 6:08 pm to Sev09
****, this pisses me off. Texas Tech should have never beat us last year
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