John Ryan

John  Ryan
John Ryan has been handicapping baseball, football, and basketball for over 18 years. He has won several National contests and has placed in top-5's in countless others. John's philosophy is based on the long-term, and he has found that over time consistency is what promotes success. The key to u...

50* Monday Night Game of the Year features 6-0 ATS game situation.

50* Monday Night Game of the Year features 6-0 ATS game situation. 

13-7 ATS with NFL 25* Top Rated Titans over the last 2 seasons. 

$42,800 in MLB profits for the Dime Player. Won ALDS GOY on the Royals.


John Ryan Sports Picks

NCAAF 10-24-2014

Ryan's 25* Sun Belt Game of the Month

Ryan nailed another 25* winner Thursday. This time it was his 25* NHL 'Upset Alert' play on Nashville. This play is the winner between Troy and South Alabama and his comprehensive research features a never-lost 100% ATS game situation you can bank on. Gridiron 25* plays are 25-13 for 65% ATS L2 seasons.

About John Ryan

John Ryan has been handicapping baseball, football, and basketball for over 18 years. He has won several National contests and has placed in top-5's in countless others.

John's philosophy is based on the long-term, and he has found that over time consistency is what promotes success. The key to utilizing his computer generated algorithms, information and selections is to consistently invest the same amount on each selection. This process will ensure that his clients will maximize their investment return. Moreover, the entire methodology eliminates the human emotion from all selection processes.

John Ryan's computer systems are based on genetic algorithms and an adaptive-structure Neural Network. In summary, his systems calculate and analyze several hundred thousand pieces of data in combination with one another for each game played. The systems also optimize his combination of rules and utilize "team momentum" much like one would do in the technical analysis of a stock of soybean prices. Much like the commodities markets, John has applied a "contrarian view" as one of the rules. For example, if a given trend in any sport is posting a 15-2 ATS, then the model will immediately make note that this trend has matured and that a reversal of this trend is likely. If the computer selects the team that does not support this given trend, the 15-2 trend will actually be supportive of the selection.

The relative and key differences in opponents are then presented in the selection write-up. The write-up will state why John has selected a given team and will outline the various statistics and trends supporting that selection. John's information is unique and informative and hopefully as profitable as the previous years have been.