Friday, October 10, 2008

Week 6: Predictions

Better late than never.

Week 6 Upsets: BAL, ATL, MIA, OAK, GB. Last week, NFLSim went 3-2 with upsets, so let's see how it does this week.

BAL at IND -5, 39
Winner: BAL, 58%
Spread: BAL +5, 72%
O/U: OVER, 51%

CAR at TB -1, 36.5
Winner: TB, 58%
Spread: TB -1, 56%
O/U: OVER, 69%

CHI -3 at ATL, 43.5
Winner: ATL, 57%
Spread: ATL +3, 67%
O/U: OVER, 58%

CIN at NYJ -6, 44.5
Winner: NYJ, 65%
Spread: CIN +6, 51%
O/U: OVER, 56%

DET at MIN -14, 45.5
Winner: MIN, 79%
Spread: DET +14, 61%
O/U: OVER, 59%

MIA at HOU -3, 44.5
Winner: MIA, 51%
Spread: MIA +3, 66%
O/U: OVER, 70%

OAK at NO -7.5, 47
Winner: OAK, 55%
Spread: OAK +7.5, 80%
O/U: UNDER, 57%

STL at WAS -13.5, 44.5
Winner: WAS, 76%
Spread: STL +13.5, 63%
O/U: OVER, 54%

JAX at DEN -3.5, 48
Winner: DEN, 75%
Spread: DEN -3.5, 63%
O/U: OVER, 57%

DAL -6 at ARI, 50
Winner: DAL, 51%
Spread: ARI +6, 70%
O/U: UNDER, 54%

GB at SEA -3, 47
Winner: GB, 54%
Spread: GB +3, 60%
O/U: OVER, 57%

PHI -5 at SF, 43
Winner: PHI, 59%
Spread: SF +5, 52%
O/U: OVER, 58%

NE at SD -6, 45
Winner: SD, 60%
Spread: NE +6, 59%
O/U: OVER, 72%

NYG -8 at CLE, 43
Winner: NYG, 76%
Spread: NYG -8, 51%
O/U: OVER, 55%

2 comments:

  1. Do you use any high powered math for your picks or is it something that you could do with excel and some regression functions?

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  2. No regression analysis at all. It's a complete simulation that interpolates all data using proprietary functions. The math isn't too high powered. Everything is probability-centric and was developed before I had taken any stats courses (so it's not impossible for someone to attempt without a formal background). I'd say its basic math applied in an innovative way.

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