Started rough with College Football this year. Hopefully things get better as less data from last season is being used.
Iowa -14, 3.3 units to win 3.0
Wisconsin -17.5, 3.3 units to win 3.0
UConn +1.5, 3.3 units to win 3.0
NIU -7.5, 3.3 units to win 3.0
New Mexico St. -5, 3.3 units to win 3.0
SDSU -3, 3.3 units to win 3.0
Air Force -10, 3.3 units to win 3.0
This is Tier One
I develop applications for the collection and automation of regression-based analysis for sports. I am mainly working with MLB statistics, but I will also dabble in College Football and NFL.
Saturday, September 22, 2012
CFB Week 3 Recap
NIU -3, 3.3 units to win 3.0, loss
Louisville -3, 3.3 units to win 3.0, win
Penn State -6, 3.3 units to win 3.0, win
Southern Miss -7, 3.3 units to win 3.0, loss
Toledo -3, 3.3 units to win 3.0, win
Kentucky -7, 3.3 units to win 3.0, loss
Week 3 Record: 3-3, -.3 units
Overall Record: 5-10-1, -11.8 units
Monday, September 17, 2012
MLB 9/17/2012
This is going to be a busy week, so there will be no MLB from me today. Tomorrow I will update my MLB and CFB standings and continue on with my strategy for the rest of the month.
Sunday, September 16, 2012
MLB 9/16/2012
Phillies ML -200, 2.00 units to win 1.00
Tigers ML -135, 1.35 units to win 1.00
Rangers ML -235, 2.35 units to win 1.00
Saturday, September 15, 2012
CFB Week 3
NIU -3, 3.3 units to win 3.0
Louisville -3, 3.3 units to win 3.0
Penn State -6, 3.3 units to win 3.0
Southern Miss -7, 3.3 units to win 3.0
Toledo -3, 3.3 units to win 3.0
Kentucky -7, 3.3 units to win 3.0
I might add 1 or 2 more plays later today.
Louisville -3, 3.3 units to win 3.0
Penn State -6, 3.3 units to win 3.0
Southern Miss -7, 3.3 units to win 3.0
Toledo -3, 3.3 units to win 3.0
Kentucky -7, 3.3 units to win 3.0
I might add 1 or 2 more plays later today.
MLB 9/15/2012
Phillies ML -165, 3.72 units to win 2.25
Tigers ML -130, 1.30 units to win 1.0
Rangers ML -175, 1.75 units to win 1.0
Tigers ML -130, 1.30 units to win 1.0
Rangers ML -175, 1.75 units to win 1.0
Friday, September 14, 2012
MLB 9/14/2012
No MLB Plays today. I just finished running my programs and none of the games meet my criteria. Presently, I am applying 18 filters to each game, spread across the following: total season stats, home/away stats, last 30 games stats, last 20 games stats, and last 10 games stats. Once today's games are completed, I should have enough September data to re-run my regressions and have a new set of filters. One thing I have noticed is that there is a higher propensity for randomness in September vs August.
It will be interesting which stats become more relevant as the regular season draws to a close.
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