JG
02 Nov 2003, 07:05 PM
On the thread that inspired the formation of this forum, we discussed ways to predict team records from their goals scored and goals against. It was determined that using a Poisson distribution for goals would work well.
I did some playing with this year's MLS records...here's what I found.
First I compared each teams actual points to their predicted points:
Team GF GA Pts PrPts Diff
Chicago 53 43 53 47.91 +5.09
MetroStars 40 40 42 41.10 +0.90
New England 55 47 45 46.60 -1.60
DC United 38 36 39 42.36 -3.36
Columbus 44 44 38 41.31 -3.31
San Jose 45 35 51 48.08 +2.92
Colorado 40 45 40 37.87 +2.13
Kansas City 48 44 42 44.02 -2.02
Los Angeles 35 35 36 40.78 -4.78
Dallas 35 64 23 24.22 -1.22
"PrPts" is predicted points.
The average error of 2.7 points is comparable to what I've gotten with European leagues.
Next, I compared each teams predicted record to their predicted record if they had scored/allowed a league average amount of goals (43.3), generating a number for how many points their offense and defense had earned of lost...for example, Chicago
won just over two games by scoring 53 goals instead of 43.3.
Team Off Def
Chicago +6.45 +0.20
MetroStars -2.34 +2.16
New England +7.67 -2.36
DC United -3.83 +4.87
Columbus +0.49 -0.45
San Jose +1.18 +5.64
Colorado -2.31 -1.07
Kansas City +3.20 -0.45
Los Angeles -6.11 +5.50
Dallas -5.25 -11.07
By comparing the amount of goals scored above/below the league average with the offensive rating in the above table, we can get the amount of "goals per win" for each team--for example Chicago scored 9.7 goals above the league average, which helped their team earn 6.45 points. 9.7/6.45*3=4.51 goals per win.
Team Off Gls GPW
New England +7.67 +11.7 4.58
Chicago +6.45 +9.70 4.51
Kansas City +3.20 +4.70 4.41
San Jose +1.18 +1.70 4.32
Columbus +0.49 +0.70 4.29
Colorado -2.31 -3.30 4.29
MetroStars -2.34 -3.30 4.23
DC United -3.83 -5.30 4.15
Dallas -5.25 -8.30 4.74
Los Angeles -6.11 -8.30 4.08
"Gls" = goals scored vs. the league average.
GPW = goals per win.
So an MLS team needs to score 4-5 extra goals over a season to win another game...with the exception of Dallas the higher-scoring teams need to score a bit more to win another game. For defenses the numbers are a bit higher, but still between 4 and 5 goals needed to make a one-game difference.
I did some playing with this year's MLS records...here's what I found.
First I compared each teams actual points to their predicted points:
Team GF GA Pts PrPts Diff
Chicago 53 43 53 47.91 +5.09
MetroStars 40 40 42 41.10 +0.90
New England 55 47 45 46.60 -1.60
DC United 38 36 39 42.36 -3.36
Columbus 44 44 38 41.31 -3.31
San Jose 45 35 51 48.08 +2.92
Colorado 40 45 40 37.87 +2.13
Kansas City 48 44 42 44.02 -2.02
Los Angeles 35 35 36 40.78 -4.78
Dallas 35 64 23 24.22 -1.22
"PrPts" is predicted points.
The average error of 2.7 points is comparable to what I've gotten with European leagues.
Next, I compared each teams predicted record to their predicted record if they had scored/allowed a league average amount of goals (43.3), generating a number for how many points their offense and defense had earned of lost...for example, Chicago
won just over two games by scoring 53 goals instead of 43.3.
Team Off Def
Chicago +6.45 +0.20
MetroStars -2.34 +2.16
New England +7.67 -2.36
DC United -3.83 +4.87
Columbus +0.49 -0.45
San Jose +1.18 +5.64
Colorado -2.31 -1.07
Kansas City +3.20 -0.45
Los Angeles -6.11 +5.50
Dallas -5.25 -11.07
By comparing the amount of goals scored above/below the league average with the offensive rating in the above table, we can get the amount of "goals per win" for each team--for example Chicago scored 9.7 goals above the league average, which helped their team earn 6.45 points. 9.7/6.45*3=4.51 goals per win.
Team Off Gls GPW
New England +7.67 +11.7 4.58
Chicago +6.45 +9.70 4.51
Kansas City +3.20 +4.70 4.41
San Jose +1.18 +1.70 4.32
Columbus +0.49 +0.70 4.29
Colorado -2.31 -3.30 4.29
MetroStars -2.34 -3.30 4.23
DC United -3.83 -5.30 4.15
Dallas -5.25 -8.30 4.74
Los Angeles -6.11 -8.30 4.08
"Gls" = goals scored vs. the league average.
GPW = goals per win.
So an MLS team needs to score 4-5 extra goals over a season to win another game...with the exception of Dallas the higher-scoring teams need to score a bit more to win another game. For defenses the numbers are a bit higher, but still between 4 and 5 goals needed to make a one-game difference.