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Geoffrey Praenuntio Profile

EXPERT BIO

Geoffrey Praenuntio
About Us

Geoffrey Praenuntio may turn out to be one of your best friends and he is not even remotely close to human or even an alien. Geoffrey Praenuntio is a bot and has over 700 (and growing) algorithms that search and learn from the vast databases that John Ryan has developed in all major sports. Geoffrey is a form of Artificial Intelligence, but AI, machine learning, and deep learning are highly misused and misunderstood words. AI is the overarching technology that has numerous subsets within it and machine learning and deep learning are just of those subset classes. Machine learning and Deep Learning are two distinctly different AI approaches to gaining intelligence from big data that can be utilized far more efficiently by data dependent decision makers in all types of businesses. Here is just one example of a cognitive bot. Let's say your friend Manny decides to send this angry letter to an insurance company stating his frustration that his claim has not been processed and now actually may not be approved. The insurance company could actually have Geoffrey scan the letter in milliseconds and start making sense of it. Geoffrey could extract simple account information like customer name, the account number, claims number, when the claim was filed, the status of the claim, have the premiums ben paid current and all pertinent client information. Geoffrey could perform sentiment analysis on the letter recognizing that it has a derogatory sentiment reflecting the customer’s frustrations. Geoffrey would then file the letter in the correct bucket for a claims manager to then begin a timely address of the situation and get back quickly to the customer and in the process providing superior service. Then, Geoffrey could also provide a predictive analysis report as well. The report could state that this has been a loyal customer for the past 7 years and because of this poor service the probability of this customer leaving and going to a competitor is significantly high and could even skip over the first level managers and but into an urgent buck at the supervisory management level. Automating a mundane manual workflow and substituting it with a fast, accurate, and intelligent workflow can produce major improvements and efficiencies to any workflow. So, back to sports databases and predictive analytics. So, advancing the simple claims example above, the sports data analytics is far more advanced and involves logistic regression, binomial and multinomial equations (and knowing the differences), and culminating with combinatorial algorithms. There are 125 specifically defined performance metrics in the NFL and NCAAF models that the combinatorial algorithms produce predictive intelligence. So, the end result will be a near mirror image of a box score with highlighted areas where the projections far exceed or fail to meet the teams’ averages over varying time periods. There will be many articles written and lectures/podcasts provided starting in August 2018 that will dive deeper into the use of predictive analytics that will give you a very strong understanding of AI, machine learning and deep learning programs and models. To end, if we are attempting to provide a specific data point as a solution to a problem, then machine learning techniques are used and if the solution is to provide a cluster of data points, then deep learning is used. Deep learning requires significantly more computational power and have much larger data lakes then machine learning requires. So, Geoffrey is a bot with over 700 specific technological tools in his shed and he is only allowed to use them to learn and produce selections. This is a huge advantage over any human. First because Geoffrey can perform billions of calculations in literally minutes and is also 100 percent fully disciplined. There is no emotion involved. Not a from a huge winning pick or a losing disaster game where the team picked failed to cover by 30 points. In fact, Geoffry does care about winning and losing equally and learns from both results over time leading to even greater success. Last, over the past 5 seasons, Geoffrey has amassed a return on investment (ROI) of 33%. There has not been one losing season in any sport. However, you cannot depend on these past gains and successes as a reason that 2018 and beyond will produce similar results. Geoffrey could fall prey to losing and we are only be REAL in sharing that simple fact with you. However, we do feel quite confident, that Geoffrey will outperform the majority of his human peers.




LAST 25 PICKS PER SPORT
NFL
Date Game Pick Rating Result
9/9/2019
7:10 PM
28 Houston
30 New Orleans
-6.5 (-108)
10
Loss
9/8/2019
4:05 PM
20 Cincinnati
21 Seattle
+10 (-120)
10
Win
8/18/2019
8:10 PM
19 Seattle
25 Minnesota
+3 (100)
10
Loss
1/12/2019
8:15 PM
22 Dallas
30 LA Rams
-7 (-108)
10
Win
1/6/2019
4:40 PM
16 Philadelphia
15 Chicago
-6.5 (-108)
10
Loss
12/16/2018
1:00 PM
17 Tennessee
0 NY Giants
-1 (-110)
10
Win
12/15/2018
4:30 PM
29 Houston
22 NY Jets
44 ov -108
10
Win
11/5/2018
8:15 PM
28 Tennessee
14 Dallas
40.5 un -110
10
Loss
10/29/2018
8:15 PM
25 New England
6 Buffalo
-13.5 (-108)
10
Win
10/28/2018
8:20 PM
30 New Orleans
20 Minnesota
54.5 un -110
10
Win
10/22/2018
8:15 PM
20 NY Giants
23 Atlanta
53 un -110
10
Win
10/11/2018
8:20 PM
34 Philadelphia
13 NY Giants
+3 (-110)
10
Loss
10/8/2018
8:15 PM
19 Washington
43 New Orleans
-6 (-108)
10
Win
10/1/2018
8:15 PM
27 Kansas City
23 Denver
+4.5 (-120)
10
Win
9/24/2018
8:15 PM
30 Pittsburgh
27 Tampa Bay
55 un -110
10
Loss
9/13/2018
8:20 PM
23 Baltimore
34 Cincinnati
+1.5 (-105)
10
Win
9/10/2018
7:10 PM
48 NY Jets
17 Detroit
+7 (-105)
10
Win
9/9/2018
1:00 PM
20 Jacksonville
15 NY Giants
-3 (105)
10
Win
9/6/2018
9:05 PM
12 Atlanta
18 Philadelphia
45 un -110
10
Win
8/30/2018
8:00 PM
6 Dallas
14 Houston
+4.5 (-110)
10
Loss
8/25/2018
4:05 PM
6 Tennessee
16 Pittsburgh
-3.5 (-110)
10
Win
College Football
Date Game Pick Rating Result
8/31/2019
10:40 PM
23 Fresno State
31 USC
-13.5 (-108)
10
Loss
12/29/2018
8:10 PM
34 Oklahoma
45 Alabama
+14 (-108)
10
Win
12/28/2018
5:20 PM
34 Syracuse
18 West Virginia
-3 (-110)
10
Win
12/27/2018
9:00 PM
38 Vanderbilt
45 Baylor
-4 (-110)
7
Loss
12/27/2018
5:20 PM
3 Miami Florida
35 Wisconsin
+2.5 (-108)
10
Win
12/26/2018
9:05 PM
10 TCU
7 California
+1 (-110)
7
Loss
12/26/2018
5:20 PM
34 Minnesota U
10 Georgia Tech
+6 (-105)
7
Win
12/26/2018
1:30 PM
 Boston College
 Boise State
+2 (-108)
7
Canceled
11/24/2018
12:00 PM
41 Florida
14 Florida State
+7.5 (-110)
10
Loss
11/20/2018
7:00 PM
21 No Illinois
28 Western Michigan
+6.5 (-107)
10
Win
11/17/2018
12:00 PM
52 Ohio State
51 Maryland
+14 (-105)
10
Win
11/10/2018
7:30 PM
13 Florida State
42 Notre Dame
+17 (-115)
10
Loss
11/3/2018
12:00 PM
31 Nebraska
36 Ohio State
+19 (-105)
10
Win
11/2/2018
10:30 PM
34 Colorado
42 Arizona U
+3 (-110)
10
Loss
11/1/2018
7:30 PM
40 Temple
52 Central Florida
-10 (-110)
10
Win
10/30/2018
8:00 PM
42 Miami Ohio
51 Buffalo U
+7 (-105)
10
Loss
10/27/2018
3:30 PM
36 Georgia
17 Florida
-6.5 (-110)
10
Win
10/20/2018
7:30 PM
7 Vanderbilt
14 Kentucky
+13.5 (-108)
10
Win
10/20/2018
12:00 PM
30 Miami Ohio
31 Army
+7.5 (-108)
10
Win
10/13/2018
3:30 PM
52 Army
3 San Jose State
+16.5 (-106)
10
Loss
10/13/2018
2:00 PM
16 Troy
22 Liberty
+10 (-105)
10
Win
10/13/2018
1:00 PM
42 UAB
0 Rice
+17 (-115)
10
Loss
10/9/2018
8:00 PM
35 Appalachian St
9 Arkansas St
+10 (-110)
10
Loss
10/6/2018
8:20 PM
45 Notre Dame
23 Virginia Tech
+7 (-110)
10
Loss
10/6/2018
7:35 PM
9 Auburn
23 Mississippi St
-3.5 (-103)
10
Loss
NBA
Date Game Pick Rating Result
6/10/2019
9:10 PM
106 Golden State
105 Toronto
214.5 un -110
10
Win
5/18/2019
9:15 PM
110 Golden State
99 Portland
-2.5 (-108)
7
Loss
5/16/2019
9:15 PM
111 Portland
114 Golden State
+7.5 (-108)
7
Win
5/14/2019
9:10 PM
94 Portland
116 Golden State
220.5 ov -108
10
Loss
5/12/2019
7:00 PM
90 Philadelphia
92 Toronto
209.5 ov -110
10
Loss
4/30/2019
10:38 PM
109 Houston
115 Golden State
-5 (-108)
10
Win
4/28/2019
3:42 PM
100 Houston
104 Golden State
-5.5 (-108)
10
Loss
4/23/2019
10:40 PM
115 Oklahoma City
118 Portland
-4 (-105)
7
Loss
4/23/2019
8:10 PM
100 Brooklyn
122 Philadelphia
-8.5 (-115)
10
Win
4/22/2019
8:10 PM
127 Milwaukee
104 Detroit
-13 (-110)
10
Win
3/15/2019
7:05 PM
116 Charlotte
110 Washington
-2.5 (-110)
10
Loss
3/13/2019
7:15 PM
96 Brooklyn
108 Oklahoma City
+7.5 (-108)
10
Loss
3/4/2019
9:05 PM
105 Milwaukee
114 Phoenix
+13 (-105)
10
Win
2/13/2019
7:35 PM
126 Philadelphia
111 New York
-9.5 (-108)
10
Win
2/2/2019
9:05 PM
125 Houston
98 Utah
-7 (-110)
10
Loss
2/2/2019
7:05 PM
89 Brooklyn
102 Orlando
+2 (-108)
7
Loss
1/31/2019
10:30 PM
113 Philadelphia
104 Golden State
+10 (-110)
10
Win
1/20/2019
7:05 PM
114 Phoenix
116 Minnesota
+10.5 (-105)
7
Win
1/19/2019
3:35 PM
117 Oklahoma City
115 Philadelphia
-1.5 (-108)
10
Loss
1/2/2019
8:05 PM
101 Detroit
94 Memphis
+7 (-110)
7
Win
12/26/2018
10:35 PM
118 Sacramento
127 LA Clippers
-5.5 (-108)
10
Win
12/25/2018
5:35 PM
114 Philadelphia
121 Boston
+4.5 (-107)
7
Loss
12/25/2018
3:05 PM
109 Oklahoma City
113 Houston
+1 (-110)
7
Loss
12/12/2018
7:05 PM
130 Boston
125 Washington
+3.5 (-108)
10
Loss
12/3/2018
7:35 PM
99 Cleveland
97 Brooklyn
-6 (-105)
10
Loss
College Basketball
Date Game Pick Rating Result
4/8/2019
9:20 PM
77 Texas Tech
85 Virginia
118 ov -110
10
Win
4/6/2019
6:09 PM
62 Auburn
63 Virginia
+6 (-108)
10
Win
3/31/2019
2:20 PM
77 Auburn
71 Kentucky
+5 (-115)
10
Win
3/28/2019
7:09 PM
58 Florida State
72 Gonzaga
-7 (-110)
10
Win
3/23/2019
7:10 PM
71 Baylor
83 Gonzaga
+14 (-105)
10
Win
3/21/2019
10:00 PM
78 Baylor
69 Syracuse
+2 (-108)
10
Win
3/19/2019
7:00 PM
89 Lipscomb
81 Davidson
+2.5 (-105)
10
Win
3/15/2019
7:00 PM
74 SMU
82 Cincinnati
-6.5 (-108)
10
Win
3/8/2019
7:05 PM
60 Minnesota
69 Maryland
+7 (-110)
10
Loss
3/1/2019
7:00 PM
44 Marist
59 Fairfield
+2.5 (-108)
10
Loss
2/28/2019
7:00 PM
53 Nebraska
82 Michigan
+12 (-110)
10
Loss
2/25/2019
8:00 PM
61 Oklahoma
78 Iowa State
+8 (-110)
10
Loss
2/23/2019
12:05 PM
76 Marquette
58 Providence
143 ov -108
10
Loss
2/19/2019
10:00 PM
66 UNLV
56 Wyoming
+6 (-108)
10
Loss
2/15/2019
7:00 PM
88 Buffalo
82 Toledo
161 un -110
10
Loss
2/8/2019
7:00 PM
61 Saint Louis
91 St. Joseph's
+3 (-108)
7
Win
2/2/2019
10:00 PM
82 Cal Irvine
80 Long Beach State
-5.5 (-115)
7
Loss
2/2/2019
12:00 PM
47 Virginia Tech
24 NC State
+3 (-115)
10
Win
1/31/2019
9:05 PM
74 Sacramento State
58 Idaho State
+2.5 (-108)
7
Win
1/31/2019
7:00 PM
61 Louisiana Tech
69 Florida Atlantic
+4.5 (-108)
7
Win
1/30/2019
8:00 PM
82 Louisville
54 Wake Forest
+10 (-105)
10
Loss
1/30/2019
7:00 PM
61 Fordham
79 George Washington
+2.5 (-110)
7
Loss
1/28/2019
7:00 PM
83 Duke
61 Notre Dame
-14 (-108)
10
Win
1/22/2019
7:00 PM
57 Minnesota
59 Michigan
137.5 ov -108
10
Loss
1/15/2019
7:00 PM
69 Kentucky
49 Georgia
+8 (-110)
10
Loss
NHL
Date Game Pick Rating Result
5/16/2019
8:08 PM
4 Boston
0 Carolina
108
7
Loss
4/19/2019
10:08 PM
5 Colorado
1 Calgary
-168
10
Loss
4/15/2019
9:45 PM
3 Nashville
2 Dallas
107
10
Win
4/10/2019
7:11 PM
4 Columbus
3 Tampa Bay
325
10
Win
2/25/2019
9:05 PM
4 Florida
3 Colorado
130
7
Win
2/10/2019
6:05 PM
5 Tampa Bay
2 Florida
-135
10
Win
2/7/2019
9:05 PM
5 San Jose
2 Calgary
125
7
Win
2/2/2019
7:05 PM
1 Vegas
3 Florida
-116
10
Loss
1/20/2019
12:35 PM
5 Washington
8 Chicago
145
7
Win
1/9/2019
8:05 PM
4 Nashville
3 Chicago
166
10
Loss
1/2/2019
9:35 PM
3 Edmonton
1 Arizona
-110
7
Loss
12/22/2018
1:05 PM
2 Nashville
5 Boston
-128
10
Win
12/7/2018
10:05 PM
4 Carolina
1 Anaheim
-115
10
Win
11/30/2018
7:05 PM
3 New Jersey
6 Washington
155
10
Loss
11/26/2018
7:05 PM
2 Ottawa
4 NY Rangers
130
10
Loss
11/16/2018
9:05 PM
3 Washington
2 Colorado
-140
10
Loss
11/13/2018
9:05 PM
2 Montreal
6 Edmonton
-144
10
Win
11/5/2018
7:05 PM
5 New Jersey
1 Pittsburgh
-164
10
Loss
10/30/2018
10:05 PM
3 Philadelphia
2 Anaheim
-120
10
Loss
10/19/2018
7:05 PM
6 Florida
5 Washington
150
10
Win
10/11/2018
8:05 PM
3 Chicago
4 Minnesota
-145
10
Win
10/3/2018
7:05 PM
2 Montreal
3 Toronto
6 un +104
10
Win
Canadian Football
Date Game Pick Rating Result
7/20/2019
7:10 PM
25 B.C. Lions
38 Saskatchewan
+5.5 (-107)
10
Loss
7/18/2019
9:05 PM
16 Toronto
26 Calgary
52.5 un -110
10
Win
6/27/2019
8:30 PM
21 Edmonton
28 Winnipeg
+5.5 (-107)
10
Loss
WNBA
Date Game Pick Rating Result
7/21/2019
3:00 PM
65 Atlanta
93 Washington
-13 (-110)
7
Win
MLB
Date Game Pick Rating Result
9/11/2019
10:10 PM
0 Chicago Cubs
4 San Diego
-102
7
Loss
9/11/2019
8:10 PM
5 Oakland
3 Houston
151
10
Win
9/9/2019
8:10 PM
0 Oakland
15 Houston
9.5 un -105
10
Loss
9/3/2019
7:10 PM
6 Chicago White Sox
5 Cleveland
-1.5 (-153)
10
Loss
8/21/2019
7:05 PM
11 Washington
1 Pittsburgh
137
10
Loss
8/12/2019
7:05 PM
6 Cincinnati
7 Washington
-111
10
Loss
8/8/2019
7:10 PM
0 LA Angels
3 Boston
-1.5 (-132)
10
Win
7/30/2019
7:10 PM
6 Tampa Bay
5 Boston
-131
10
Loss
7/27/2019
7:15 PM
8 Houston
2 St. Louis
-186
10
Win
7/25/2019
10:07 PM
10 Baltimore
8 LA Angels
10 un -103
10
Loss
7/24/2019
8:10 PM
10 NY Yankees
7 Minnesota
-119
10
Win
7/23/2019
8:10 PM
4 Oakland
3 Houston
+1.5 (-130)
10
Win
7/22/2019
10:10 PM
3 Texas
7 Seattle
+1.5 (-178)
10
Loss
7/21/2019
4:10 PM
0 Miami
9 LA Dodgers
8.5 ov -108
10
Win
7/21/2019
2:10 PM
6 Oakland
7 Minnesota
-1.5 (150)
10
Loss
7/16/2019
7:05 PM
8 LA Dodgers
9 Philadelphia
9.5 un +100
10
Loss
7/15/2019
8:05 PM
6 Cincinnati
3 Chicago Cubs
134
7
Win
7/6/2019
10:10 PM
2 Colorado
4 Arizona
8 un -108
10
Win
7/1/2019
7:10 PM
3 Baltimore
6 Tampa Bay
9 un -110
10
Push
6/28/2019
7:10 PM
6 Atlanta
2 NY Mets
7.5 ov -125
10
Win
6/26/2019
7:05 PM
4 NY Mets
5 Philadelphia
10.5 ov -105
10
Loss
6/25/2019
8:10 PM
1 Pittsburgh
5 Houston
223
10
Loss
6/24/2019
8:05 PM
3 Atlanta
8 Chicago Cubs
122
10
Loss
6/17/2019
7:10 PM
2 Houston
3 Cincinnati
-116
7
Win
6/14/2019
7:10 PM
9 St. Louis
5 NY Mets
116
10
Win
For full picks list contact support.