So, you actually want to know how this thing works? Well, you have more intellectual
curiosity than I assumed.
Let me see if I can satisfy it.
Each week the results are entered into a massive spreadsheet
with all kinds of functions that link the results of each team together. What you end up is something that looks
like this:
|
4.-0
|
|
|
|
|
|
|
|
Michigan
|
34-10 WMU (1.5-2)
|
35-31 ND (2-2)
|
31-3 EMU (1-2)
|
28-7 SDSU (2.5-1)
|
|
|
Alabama
|
48-7 Kent (.5-3)
|
27-11 PSU (2.5-1)
|
41-0 NT (1-3)
|
38-14 Ark (2.5-1)
|
|
|
Oklahoma St
|
61-34 ULL (2.5-1)
|
37-14 Ariz (.5-3)
|
59-33 Tulsa (1-3)
|
30-29 TAMU (2-1)
|
|
|
South Carolina
|
56-37 ECU (1-2)
|
45-42 UGA (1.5-2)
|
24-21 Navy (1.5-1)
|
21-3 Vandy (2.5-1)
|
|
|
Florida
|
41-3 FAU (0-3)
|
39-0 UAB (0-3)
|
33-23 Tenn (1.5-1)
|
48-10 UK (2-2)
|
You can see how each team is under a certain record (these
are all the 4-0 teams from week 4 in 2011) and then next to them is the scores
of each game, the opponent, and the opponent’s record in order of the week the game was played.
Since the RPM is a “blind” system, all the team names are
then removed from the spreadsheet and the main team is given a random number by
a random number generator and then sorted so that a brand new order is
created. This is what it then
looks like:
|
4.-0
|
|
|
|
|
|
|
|
1
|
61-34
(2.5-1)
|
37-14
(.5-3)
|
59-33
(1-3)
|
30-29
(2-1)
|
|
|
2
|
56-37
(1-2)
|
45-42
(1.5-2)
|
24-21
(1.5-1)
|
21-3
(2.5-1)
|
|
|
5
|
34-10
(1.5-2)
|
35-31
(2-2)
|
31-3
(1-2)
|
28-7
(2.5-1)
|
|
|
7
|
48-7
(.5-3)
|
27-11 (2.5-1)
|
41-0
(1-3)
|
38-14
(2.5-1)
|
|
|
9
|
41-3
(0-3)
|
39-0
(0-3)
|
33-23
(1.5-1)
|
48-10
(2-2)
|
As you can see, any indicator of what team is which has been
eliminated. Now, if you really
wanted to figure it out, you could easily compare this with the above and
see that Team 1 is clearly Oklahoma St.
But for my purposes, this is as good as it gets.
Now, above is the perfect scenario with no FCS games, no
losses, no byes, and no inter-record matches. That is not so below, where all four come into play:
|
1.-2
|
|
|
|
|
|
|
|
NC St
|
FCS
|
27-34 WF (1.5-1)
|
FCS
|
14-44 Cincy
(2.5-1)
|
|
|
EMU
|
FCS
|
FCS
|
3-31 Mich (4-0)
|
6-34 PSU (2.5-1)
|
|
|
Maryland œ
|
32-24 MFL (1-2)
|
-
|
31-37 WVU (2.5-1)
|
7-38 Temp (2.5-1)
|
|
|
ECU
|
37-56 Scar (4-0)
|
10-17 VT (3.5-0)
|
-
|
28-23 UAB (0-3)
|
|
|
Miami Fl œ
|
24-32 MD (1-2)
|
-
|
24-6 OSU (3-1)
|
24-28 KSU (2.5-0)
|
|
|
Troy
|
19-43 Clem (3.5-0)
|
-
|
28-38 Ark (2.5-1)
|
38-35 MTSU (0-3)
|
|
|
Rice
|
9-34 Tex (3-0)
|
24-22 Pur (1.5-1)
|
-
|
31-56 Bay (2.5-0)
|
|
|
Nevada
|
-
|
20-69 Oreg (2.5-1)
|
17-14 SJSt (1-3)
|
34-35 TTU (2.5-0)
|
As you can see, there are multiple cases to deal with
here. First is the most obvious,
losses. Losses are indicated with
the inverse score (losing score first) and a red highlight. Next are the FCS games, which are marked
with a placeholder. FCS losses
include the placeholder plus the score, as well as being highlighted in
red. Thirdly, byes are marked by
another placeholder (-). Lastly are
inter-record matches. As you can
see above, a special mark (œ) has been applied for Maryland and Miami FL (red
for Miami since they lost the match).
This mark, as well as all the other indicators, remains there when the
data is converted into the usable form.
In the end you wind up with a spreadsheet of all 120 teams
and their records looking like the revised 4-0 section mentioned earlier. From there the ranking begins.
------------------------
The ranking process is much more difficult to
illustrate. As the season
progresses and the resumes become more robust, it gets easier to separate
resumes, but it is much harder in the early weeks. I briefly explain the issue in my welcome post, but I will
go into it in a bit more depth here.
This is the only part of the RPM that is subjective and is,
in the end, what separates it from computer polls. I have to look at every resume and deem which ones are more
impressive than the others. This
is not necessarily an easy task, and often deciding single positions is splitting hairs
between resumes.
Let’s take another look at that 4-0 section:
|
4.-0
|
|
|
|
|
|
|
|
1
|
61-34
(2.5-1)
|
37-14
(.5-3)
|
59-33
(1-3)
|
30-29
(2-1)
|
|
|
2
|
56-37
(1-2)
|
45-42
(1.5-2)
|
24-21
(1.5-1)
|
21-3
(2.5-1)
|
|
|
5
|
34-10
(1.5-2)
|
35-31
(2-2)
|
31-3
(1-2)
|
28-7
(2.5-1)
|
|
|
7
|
48-7 (.5-3)
|
27-11 (2.5-1)
|
41-0
(1-3)
|
38-14
(2.5-1)
|
|
|
9
|
41-3
(0-3)
|
39-0
(0-3)
|
33-23
(1.5-1)
|
48-10
(2-2)
|
Let’s look at these teams in a vacuum, as if they are the
only 5 teams to rank. How do you
rank them? There is no set
procedure, as every circumstance merits different methods, but there are some
easy tools.
Firstly, look for the big wins. In this case 3-1 wins are the best possible wins a team
could have. Unfortunately, none of
these teams have that win, so let’s move onto the next best win, 2.5-1. As you can see, 4 of these teams
(1,2,5,7) have that win, so let’s
focus on those for now. Team 7 has
two of these wins but the rest of their wins aren’t so impressive, so let’s
leave them at #1 for now and revisit that later. Team 2 has no other 2 true (FBS) win teams so let’s take a
look at Teams 1 and 5. Both have a
single 2 true win team, though Team 1’s win is 2-1, not 2-2. But, Team 5’s 3rd and 4th
best wins are superior to Team 1’s, so we can say that Team 5 has the superior
resume. We can then compare Team 5
with Team 7 (the team we set aside because they have two 2.5-1 wins). When looking at the full resumes, these
two are hard to pull apart. Team 7
has the better top tier wins, but Team 5 has the better lower tier wins. In situations like this, I tend to
favor the bigger wins. So, I would
rank Team 7 #1 and Team 5 #2.
Now we can compare Teams 2 and 1. While Team 1 has a 2 true win team, Team 2 is not far
off with a 1.5-1 win, plus superior 3rd
and 4th teir wins. I
would rank Team 2 #3. Finally, we
can bring back Team 9 and compare it to Team 1. Team 1 has a better win on every tier and is clearly the
better resume. Team 1 would be
ranked #4 and Team 9 #5.
As you can tell, this is a very drawn-out process that is
done for all teams (usually focusing on the clear top 35 or so). Also, it is fairly easy to see that
there are parts of the process where one could pick a different resume over the
other. A case could easily be made
for Team 5 to be ranked #1 over Team 7, and I would probably not argue with
it. But this is often the case in
nearly ever polling system and is not at all unique to the RPM
In the end, you are left with the final RPM poll, a ranking of
25 resumes. As always, feel free
to send me any comments, questions or ideas and I will try to get to as many as
virtually possible.
- Rampage