2019-20 NFL Computer Game Picks – WEEK 1

 

AMAZING NFL ARTIFICIAL INTELLIGENCE IS GIVING  READERS  LIKE YOU A FREE AND UNFAIR ADVANTAGE!

Deep Learning Associative Neural Networks are being trained to meet three  primary objectives:

  •           Produce the most consistently accurate NFL game predictions anywhere!

  •           Predict Winner, Margin and Total for EVERY regular season and postseason game!

  •           Make every prediction available FREE to our visitors!

 Week by week, month by month, season by season  our AI systems  adapt and improve. They mathematically reverse engineer and recognize the DNA of winning and losing football teams!

Deep learning advances are based on pattern recognition algorithms that can learn not only precise details, but also features that differentiate one football game from another. Furthermore, the algorithms repeatedly review the intricate relationships between the present and the past to find short cuts that will improve future forecasts.

WOW! WE HAD A BLOCKBUSTER SEASON IN 2018-9!  (see Performance Record below.) WILL  2019-20 BE EVEN BETTER ? 


2019-20 NFL WEEK 1

VISITORHOMEAI PREDICTED OUTCOMEAI PREDICTED TOTAL
GREEN BAYCHICAGOCHICAGO by 946
LA RAMSCAROLINALA RAMS by 240
WASHINGTONPHILADELPHIAPHILADELPHIA by 540
BUFFALONEW YORK JETSBUFFALO by 141
ATLANTAMINNESOTAMINNESOTA by 351
BALTIMOREMIAMIBALTIMORE by 849
KANSAS CITYJACKSONVILLEKANSAS CITY by 252
TENNESSEECLEVELANDCLEVELAND by 248
INDIANAPOLISLA CHARGERSLA CHARGERS by 153
CINCINNATISEATTLESEATTLE by 741
SAN FRANCISCOTAMPA BAYTAMPA BAY by 853
NEW YORK GIANTSDALLASDALLAS by 550
DETROITARIZONADETROIT by 631
PITTSBURGHNEW ENGLANDNEW ENGLAND by 1039
HOUSTONNEW ORLEANSNEW ORLEANS by 750
DENVEROAKLANDOAKLAND by 240


ARTIFICIAL INTELLIGENCE PAST PERFORMANCE

NOTE: All predictions are independently audited
and ranked versus other NFL systems
at thepredictiontracker.com.

YEAR W-L Against The Spread(ATS) Totals Playoffs W-L Playoffs ATS Playoffs Totals  
2019-20
2018-9167-98 (63.0%)

139-112 (55.4%)

#3 of 67
129-117 (52.4%)
5-6 (45.5%)8-2 (80.0%)

#1 of 64
5-5 (50.0%)
2017-8174-93 (65.2%)127-114 (53.1%)128-112 (53.4%)

#2 of 24
7-4 (63.6%)6-3 (66.7%)8-3 (72.7%)

#1 of 24
2016-7162-103 (61.1%)118-127 (48.2%)

#15 of 72
112-130 (46.3%)9-2 (81.8%)

#12 of 72
5-4 (55.6%)3-8 (27.3%)
2015-6162-105 (60.7%)115-123 (48.3%)60-55 (52.2%)

#3 of 20
7-4 (63.6%)5-4 (55.6%)6-5 (54.5%)
2014-5165-101 (62.0%)133-116 (53.4%) ---7-4 (63.6%)6-4 (60.0%) ---
2013-4174-93 (65.2%)123-123 (50.0%) ---10-1 (90.9%)

#3 of 75
5-3 (62.5%) ---
2012-3145-114 (56.0%)97-149 (39.4%) ---4-7 (39.4%)4-6 (40.0%) ---
SUPERBOWLS --- --- ---4-4 (50.0%)5-3 (62.5%)2-2 (50.0%)