spent yesterday morning figuring this out. this model just take the team's relative strength and ability to cover spread and calc the possible outcome of the game. i started with this very simple 2 variable model, and calculated the results for last night and calibrated the parameters.
for last night, my model picked (all spreads)
NYK-PP
LAC-NN
CHA-NP
DET-NP
ATL-NP
DEN-NN
SAC-NP
LAL-NN
overall: 5-2-1, then i looked closer, my model has 3 catagories of results PP,NP, NN (p=positive, n=negative).
here is last night;s results based on the 3 catagories:
PP= 1-0
NP= 1-2-1
NN= 3-0
these sample size are way too small to yield any meaningful conclusion. so i'll live test this prediction model for this week.
For tonight's game, here is the model results:
ORL-PP
OKC-PP
BOS-NP
MIA-NP
MEM-NP
(these are all predictions in respect to the closing line...i suggest you not to take this model too seriously at this point cuz i am still testing it)
for last night, my model picked (all spreads)
NYK-PP
LAC-NN
CHA-NP
DET-NP
ATL-NP
DEN-NN
SAC-NP
LAL-NN
overall: 5-2-1, then i looked closer, my model has 3 catagories of results PP,NP, NN (p=positive, n=negative).
here is last night;s results based on the 3 catagories:
PP= 1-0
NP= 1-2-1
NN= 3-0
these sample size are way too small to yield any meaningful conclusion. so i'll live test this prediction model for this week.
For tonight's game, here is the model results:
ORL-PP
OKC-PP
BOS-NP
MIA-NP
MEM-NP
(these are all predictions in respect to the closing line...i suggest you not to take this model too seriously at this point cuz i am still testing it)
