Maths used to predict outcome of football matchJune 3rd, 2009 - 12:39 pm ICT by ANI
Washington, June 3 (ANI): Scientists have used a mathematical model to predict the outcome of a football match, taking into account the importance of the first goal scored in the match.
The model was developed by Jack Brimberg and Bill Hurley of The Royal Military College of Canada, Kingston, Ontario.
Sports commentators will often argue the importance of scoring the first goal and often suggest that a team improves its chances of winning considerably by scoring it.
This kind of punditry more commonly arises during playoff games which tend to be played more defensively.
However, although the total number of goals scored in a soccer or hockey match is usually small, Brimberg and Hurley wanted to find out whether that first goal is all important or not.
They have done this by calculating the probability of the first-goal team winning at discrete points in the match after the first goal is scored based on the number of minutes remaining in the game.
They also take overtime into account to adjust the weighting on their formula appropriately.
Team X is playing team Y. Team X scores first and there are T minutes left in regulation time.
The researchers then assumed that goal scoring follows the law of statistics known as a Poisson distribution, which for hockey and soccer it does.
Scoring in other sports, such as tennis and baseball follow a different set of statistical rules as there are different scoring factors and more “goals” scored in a match.
Therefore, the number of goals scored, N, follows the Poisson pattern and has a probability of a certain number being scored in total by both sides of “lambda”.
If both teams are playing hard, to win, then there is an equal chance of them scoring after that first goal.
However, there are factors such as league position and seasonal performance to take into account, so each of those has a parameter in the final formula.
The formula breaks down as follows: From the first whistle, team X has a 50:50 chance of winning.
However, if the team scores at just 5 minutes of play, with 55 minutes left to play in the first period of a hockey match, then the team’s chances rise to 7 to 3 (70 percent).
However, if they score the first goal much later in the game, with say, 25 minutes remaining in the second period, then their chances of winning the match rises to 4 to 1 (80 percent). (ANI)
Tags: bill hurley, discrete points, football match, june 3, kingston ontario, lambda, league position, mathematical model, ontario sports, playoff games, poisson distribution, probability, punditry, regulation time, royal military college, royal military college of canada, seasonal performance, sports commentators, statistical rules, team x