Tim Donaghy is a ex-NBA ref who gambled on his own games, mostly betting on the "spread", or how many points a team will win a game by. Most of his gambling took place from 2003-2007, when he was caught and immediately fired by the league. This data analysis will focus on if teams benefited, or had a higher change in win percentage, when the final spread in games Tim refereed was a larger difference than the team's average final spread. To summarize, did Tim's betting actually benefit or harm the teams he refereed? This data analysis will be done with an expansive NBA data set, downloaded from Kaggle.

Tim Donaghy is a ex-NBA ref who gambled on his own games, mostly betting on the "spread", or how many points a team will win a game by. Most of his gambling took place from 2003-2007, when he was caught and immediately fired by the league. This data analysis will focus on if teams benefited, or had a higher change in win percentage, when the final spread in games Tim refereed was a larger difference than the team's average final spread. To summarize, did Tim's betting actually benefit or harm the teams he refereed? This data analysis will be done with an expansive NBA data set, downloaded from Kaggle.