Colin’s picks are 15-19-1 ATS this year. FF-Winners AI agrees with him on two of his five picks this week.
2026-27 NFL Computer Predictions and Rankings
Cracking the NFL Betting Code
Colin Cowherd’s Blazin 5 Picks for NFL Week 8 2020
Colin’s picks are 15-19-1 ATS this year. FF-Winners AI agrees with him on two of his five picks this week.
FILM STUDY: How Atrocious Is the Dallas Cowboy Defense?
Statistics Professor Helps You Bet on 2020 NFL MVP
Professor MJ, a University Statistics Professor from Canada, talks about who will win the NFL’s MVP award in 2020. He compared the odds from 10 well-known online sportsbooks and unveils the best bargains available to you!
How to Use Nextgen Stats to Rank Fantasy Running Backs
Nextgen Stats continues to make exciting contributions to the quantitative methods used to analyze football!
The Golden Prime Integer Behind NFL Betting Success
Can the mathematical and statistical relationships between moneyline, pointspread and totals be used to produce winning NFL systems, without knowing anything about football or the teams playing?
Yes!
This video gives one method! Click Here!
Is RB Christian McCaffrey Going to Win NFL MVP in 2020?
WATCH: Nfl Players Respond to their Madden21 Ratings
Do they care? Should they care? They should care because these numbers influence perceptions and, ultimately, salaries!
WATCH: How is Quarterback Rating Calculated?
Passer rating is calculated using a player’s passing attempts, completions, yards, touchdowns, and interceptions. Passer rating in the NFL is on a scale from 0 to 158.3. Passing efficiency in college football is on a scale from −731.6 to 1261.6.
PODCAST: What is the Sports Betting Moneyline?
The money line allows you to bet on the winner of the game, ignoring
pointspread. The odds are adjusted to make them approximately equal.
What were the NFL’s Best and Worst Divisions in 2019?
Pass-to-Run Ratio and Fantasy Football
Check out:
http://www.numberfire.com/nfl/news/4370/does-pass-to-run-ratio-matter-in-fantasy-football
This video is rather basic – but should give you some idea how a simple statistical method, “regression”, can be applied to predict NFL outcome.
Does the following scenario sound familiar?
“This guy Archie came into my book on the first week of September and bet about $1k on ten different NFL games. He ended up going 9-1, and turned his $10k into $18k. (n.b. we are ignoring vig for the sake of simple calculations) I knew he would be back though, and sure enough he was there the following week, betting $2k on nine different NFL games and totals. He got hot again, and went 7-2, and his $10k had now grown to $28k in just two weeks. I wasn’t worried though, because the story is always the same with these guys. In week three, he came in with 7 more ‘locks’ and put $4k on each game, only to go 1-6, losing three of the games in the last minute. Frustrated with his bad luck, he put all of his remaining $8k on the Monday Night Under, which busted when the Broncos scored a meaningless touchdown in the final minute. Three weeks after he started, Archie was broke.”
The 3 main reasons amateurs lose money:
1. They over bet.
2. They vary their bet size dramatically.
3. They fail to appreciate the amount of randomness in game outcomes and forecast accuracy.
(the media contributes to this view by understating the luck factor).
For the correct mathematics:
The Kelly System is designed to maximize your “betting edge” while minimizing your “risk of ruin”.
But is that true? Should you use it?
The NFL Quantitative Revolution is Here! Where Technology and Computation Meet the Gridiron!
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If you are interested in how data science may be applied to
predicting football outcomes, we recommend this new article
by Ed Feng:
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