Team
|
Wins
|
Draws
|
Losses
|
SKC
|
6
|
2
|
1
|
HOU
|
4
|
1
|
2
|
NER
|
4
|
1
|
3
|
CLB
|
3
|
2
|
2
|
NYR
|
2
|
3
|
2
|
DCU
|
2
|
2
|
2
|
PHI
|
2
|
2
|
4
|
CHI
|
2
|
1
|
4
|
MON
|
2
|
1
|
5
|
TFC
|
0
|
1
|
4
|
Average
|
2.70
|
1.60
|
2.90
|
Standard Deviation
|
1.64
|
0.70
|
1.29
|
Team
|
Wins
|
Draws
|
Losses
|
SEA
|
4
|
3
|
2
|
SJE
|
4
|
2
|
2
|
RSL
|
4
|
1
|
2
|
COR
|
4
|
1
|
3
|
VAN
|
3
|
3
|
2
|
POR
|
3
|
2
|
2
|
FCD
|
3
|
2
|
5
|
CHV
|
2
|
1
|
4
|
LAG
|
2
|
1
|
5
|
Average
|
3.22
|
1.78
|
3.00
|
Standard Deviation
|
0.83
|
0.83
|
1.32
|
So I fed each set of data (# of wins for each team, # of draws for each team, and number of losses for each team) and came up with the following P values from the T-Test.
Wins
| |
T Test P Value
|
0.39
|
Draws
| |
T Test P Value
|
0.62
|
Losses
| |
T Test P Value
|
0.87
|
If we ever get stable conferences and can track the results from year to year that would be a much better way to look at it, but on a Year 2012 basis only I'm still not quite convinced.
Also, here's a sort of nifty chart that really doesn't explain much. It's the win distribution for Eastern Teams, Western Teams, and all MLS Teams if the distribution was normal.
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