profb
OpenML dataset with id 470
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Full work available at URL: https://api.openml.org/data/v1/download/52582/profb.arff
Upload date: 28 September 2014
Dataset Characteristics
Number of classes: 2
Number of features: 10 (numeric: 5, symbolic: 5 and in total binary: 1 )
Number of instances: 672
Number of instances with missing values: 666
Number of missing values: 1,200
Author: Hal Stern, Robin Lock Source: StatLib Please cite:
PRO FOOTBALL SCORES (raw data appears after the description below)
How well do the oddsmakers of Las Vegas predict the outcome of professional football games? Is there really a home field advantage - if so how large is it? Are teams that play the Monday Night game at a disadvantage when they play again the following Sunday? Do teams benefit from having a "bye" week off in the current schedule? These questions and a host of others can be investigated using this data set.
Hal Stern from the Statistics Department at Harvard University has made available his compilation of scores for all National Football League games from the 1989, 1990, and 1991 seasons. Dr. Stern used these data as part of his presentation "Who's Number One?" in the special "Best of Boston" session at the 1992 Joint Statistics Meetings.
Several variables in the data are keyed to the oddsmakers "point spread" for each game. The point spread is a value assigned before each game to serve as a handicap for whichever is perceived to be the better team. Thus, to win against the point spread, the "favorite" team must beat the "underdog" team by more points than the spread. The underdog "wins" against the spread if it wins the game outright or manages to lose by fewer points than the spread. In theory, the point spread should represent the "expert" prediction as to the game's outcome. In practice, it more usually denotes a point at which an equal amount of money will be wagered both for and against the favored team.
Raw data below contains 672 cases (all 224 regular season games in each season and informatino on the following 9 varialbes: .
Home/Away = Favored team is at home (1) or away (0)
Favorite Points = Points scored by the favored team
Underdog Points = Points scored by the underdog team
Pointspread = Oddsmaker's points to handicap the favored team
Favorite Name = Code for favored team's name
Underdog name = Code for underdog's name
Year = 89, 90, or 91
Week = 1, 2, ... 17
Special = Mon.night (M), Sat. (S), Thur. (H), Sun. night (N)
ot - denotes an overtime game
This page was built for dataset: profb
