- Pick 2 teams to win each week. Straight win, no spreads.
- In order to be eliminated, you must get 2 selections incorrect (in aggregate) during the duration of the pool
- Not to be confused with only being eliminated by getting 2 incorrect selections in same week
- You cannot pick the same team twice in a season until all teams have been picked twice.
- Winner take all (all participants must be paid up before week #1 begins)
The problem I built a MILP to solve this and used ESPN's FPI as a sort of ranking method.
I determined the 'odds of winning' for team A vs B as
where HFA is a home field advantage if team a is the home team (HFA'=0 if the team is the away team). FPI was also zeroed because there was some teams with a negative FPI. Also because Oakland would have a zero FPI, I added HFA and a factor to 'bump up the score'
A mathematical integer program was developed to solve the conundrum surrounding rule 3: you cannot pick a team twice in basically a season.
The model is set up as a way to defer riskier picks (i.e. lower probabilities) to later weeks using the same idea of a discounted cash flow. The model I came up with dictated I should pick CAR (@JAX) and CIN (@OAK) in week 1 versus a sure thing such as NE or GB.
The following table is the the overall picks I would make if I had to pick all 17 weeks in week 1.
The following table is the the overall picks I would make if I had to pick all 17 weeks in week 1.
Week
|
Team 1 Pick
|
Opponent
|
Team 2 Pick
|
Opponent
|
1
|
CAR (60%)
|
@JAX
|
CIN (61%)
|
@OAK
|
2
|
BAL
|
@OAK
|
NO
|
TB
|
3
|
NE
|
JAX
|
SF
|
CHI
|
4
|
CHI
|
OAK
|
IND
|
JAX
|
5
|
BUF
|
@TEN
|
DEN
|
@OAK
|
6
|
GB
|
SD
|
MIA
|
@TEN
|
7
|
SD
|
OAK
|
WSH
|
TB
|
8
|
ATL
|
TB
|
HOU
|
TEN
|
9
|
NYJ
|
JAX
|
PIT
|
OAK
|
10
|
DAL
|
@TB
|
MIN
|
@OAK
|
11
|
DET
|
OAK
|
PHI
|
TB
|
12
|
NYG
|
@WSH
|
TEN
|
OAK
|
13
|
JAX
|
@TEN
|
KC
|
@OAK
|
14
|
ARI
|
MIN
|
CLE
|
SF
|
15
|
SEA
|
CIN
|
STL
|
TB
|
16
|
OAK
|
SD
|
TB
|
CHI
|
17
|
IND
|
TEN
|
KC
|
OAK
|
Of course as more information becomes available and the season progresses, we will get more information (updated FPIs and/or the possibility of new rating schemes) and be able to refine my choices for week 2 and beyond.
Note: this blog post was written before yet posted after week 1's games. My bad.

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