football {BayesDA} | R Documentation |
Football Point Spreads and Game Outcomes
Description
Data on football point spreads and game outcomes (north american football) for ten seasons, 1981, 1983-1986, 1988-1992, each season are 224 games and they are strung together. Only three first seasons are used in chapter one of book.
Usage
data(football)
Format
A data frame with 2240 observations on the following 7 variables.
home
home indicator
favorite
favorite score
underdog
underdog score
spread
point spread
favorite.name
a factor with levels
ATL
BUF
CHI
CIN
CLE
DAL
DEN
DET
GB
HOU
IND
KC
LAA
LAN
MIA
MIN
NE
NO
NYG
NYJ
PHA
PHX
PIT
SD
SEA
SF
TB
WAS
underdog.name
a factor with levels
ATL
BUF
CHI
CIN
CLE
DAL
DEN
DET
GB
HOU
IND
KC
LAA
LAN
MIA
MIN
NE
NO
NYG
NYJ
PHA
PHX
PIT
SD
SEA
SF
TB
WAS
week
a numeric vector
Details
Football experts provide the point spread as a measure of the difference in ability between the two teams. For example, team A might be a 3.5 favourite to team B. The implication of this is that the proposition that team A, the favourite, defeats team B, the underdog, by 4 or more points, are considered a fair bet. In other words, the probability that A wins by more than 3.5 points is 0.5. If the point spread are an integer, then the implication is that team A is as likely to win by more points than the point spread as it is to win by fewer points than the point spread (or to loose). If the win is by exactly the point spread then neither side is paid off.
Examples
data(football)
summary(football)
names(football)
# In chapter 1 only three first seasons are used:
cap1 <- football[1:672, ]