|
11-16-25 |
Montreal v. Saskatchewan -3 |
Top |
17-25 |
Win
|
100 |
101 h 58 m |
Show
|
5* NO BRAINER on Saskatchewan -3
All plays are made using sophisticated machine learning models. |
|
11-01-25 |
Winnipeg v. Montreal -5.5 |
Top |
33-42 |
Win
|
100 |
52 h 18 m |
Show
|
5* NO BRAINER on Montreal -5½
All plays are made using sophisticated machine learning models. |
|
10-18-25 |
Montreal -9.5 v. Ottawa |
Top |
39-28 |
Win
|
100 |
48 h 36 m |
Show
|
5* NO BRAINER on Montreal -9½
All plays are made using sophisticated machine learning models. |
|
10-17-25 |
Saskatchewan v. Winnipeg -7 |
Top |
16-17 |
Loss |
-110 |
34 h 40 m |
Show
|
5* NO BRAINER on Winnipeg -7
All plays are made using sophisticated machine learning models. |
|
10-13-25 |
Ottawa v. Montreal -13.5 |
Top |
10-30 |
Win
|
100 |
27 h 42 m |
Show
|
5* NO BRAINER on Montreal -13½
All plays are made using sophisticated machine learning models. |
|
10-10-25 |
Toronto v. Saskatchewan -10.5 |
Top |
19-27 |
Loss |
-109 |
72 h 9 m |
Show
|
5* NO BRAINER on Saskatchewan -10½
All plays are made using sophisticated machine learning models. |
|
09-26-25 |
Calgary v. Montreal -4 |
Top |
20-38 |
Win
|
100 |
31 h 43 m |
Show
|
5* NO BRAINER on Montreal -4
All plays are made using sophisticated machine learning models. |
|
09-19-25 |
Montreal -6 v. Toronto |
Top |
21-19 |
Loss |
-110 |
77 h 54 m |
Show
|
5* NO BRAINER on Montreal -6
All plays are made using sophisticated machine learning models. |
|
09-12-25 |
Winnipeg v. Hamilton -6.5 |
Top |
21-32 |
Win
|
100 |
7 h 29 m |
Show
|
5* NO BRAINER on Hamilton -6½
All plays are made using sophisticated machine learning models. |
|
09-01-25 |
Edmonton Elks v. Calgary -7.5 |
Top |
7-28 |
Win
|
100 |
47 h 32 m |
Show
|
5* NO BRAINER on Calgary -7½ All plays are made using sophisticated machine learning models. |
|
08-31-25 |
Winnipeg +5.5 v. Saskatchewan |
Top |
30-34 |
Win
|
100 |
100 h 13 m |
Show
|
5* NO BRAINER on Winnipeg +5½
All plays are made using sophisticated machine learning models. |
|
08-16-25 |
Montreal v. BC -4.5 |
Top |
18-36 |
Win
|
100 |
81 h 31 m |
Show
|
5* NO BRAINER on BC -4½
All plays are made using sophisticated machine learning models. |
|
08-02-25 |
Saskatchewan -2 v. Montreal |
Top |
34-6 |
Win
|
100 |
97 h 43 m |
Show
|
5* NO BRAINER on Saskatchewan -2
All plays are made using sophisticated machine learning models. |
|
08-01-25 |
Toronto +6.5 v. Winnipeg |
Top |
31-40 |
Loss |
-110 |
77 h 39 m |
Show
|
5* NO BRAINER on Toronto +6½
All plays are made using sophisticated machine learning models. |
|
07-31-25 |
Calgary v. Ottawa +4 |
Top |
11-31 |
Win
|
100 |
50 h 11 m |
Show
|
5* NO BRAINER on Ottawa +4
All plays are made using sophisticated machine learning models. |
|
07-27-25 |
Hamilton +3 v. BC |
Top |
37-33 |
Win
|
100 |
21 h 59 m |
Show
|
5* NO BRAINER on Hamilton +3
All plays are made using sophisticated machine learning models. |
|
07-24-25 |
Montreal v. Calgary -5.5 |
Top |
23-21 |
Loss |
-110 |
55 h 30 m |
Show
|
5* NO BRAINER on Calgary -5½
All plays are made using sophisticated machine learning models. |
|
07-11-25 |
Calgary +5.5 v. Saskatchewan |
Top |
24-10 |
Win
|
100 |
53 h 40 m |
Show
|
5* NO BRAINER on Calgary +5½
All plays are made using sophisticated machine learning models. |
|
07-04-25 |
Hamilton +1 v. Toronto |
Top |
51-38 |
Win
|
100 |
56 h 16 m |
Show
|
5* NO BRAINER on Hamilton +1 All plays are made using sophisticated machine learning models. |
|
06-28-25 |
BC +4.5 v. Saskatchewan |
Top |
18-37 |
Loss |
-115 |
73 h 33 m |
Show
|
5* NO BRAINER on BC +4½
All plays are made using sophisticated machine learning models. |
|
06-27-25 |
Montreal v. Hamilton +3 |
Top |
17-35 |
Win
|
100 |
53 h 11 m |
Show
|
5* NO BRAINER on Hamilton +3
All plays are made using sophisticated machine learning models. |
|
06-26-25 |
Edmonton Elks v. Winnipeg -10 |
Top |
23-36 |
Win
|
100 |
24 h 13 m |
Show
|
5* NO BRAINER on Winnipeg -10 All plays are made using sophisticated machine learning models. |
|
06-20-25 |
Saskatchewan -3 v. Toronto |
Top |
39-32 |
Win
|
100 |
76 h 14 m |
Show
|
5* NO BRAINER on Saskatchewan -3
All plays are made using sophisticated machine learning models. |
|
06-19-25 |
Montreal -5.5 v. Edmonton Elks |
Top |
38-28 |
Win
|
100 |
51 h 57 m |
Show
|
5* NO BRAINER on Montreal -5½
All plays are made using sophisticated machine learning models. |
|
06-14-25 |
Saskatchewan -3 v. Hamilton |
|
28-23 |
Win
|
100 |
101 h 44 m |
Show
|
3* HEAVY HITTER on Saskatchewan -3
All plays are made using sophisticated machine learning models. |
|
06-13-25 |
Montreal -1 v. Ottawa |
Top |
39-18 |
Win
|
100 |
53 h 43 m |
Show
|
5* NO BRAINER on Montreal -1
All plays are made using sophisticated machine learning models. |
|
06-07-25 |
Hamilton -1 v. Calgary |
|
26-38 |
Loss |
-108 |
95 h 29 m |
Show
|
4* VEGAS INSIDER on Hamilton -1
All plays are made using sophisticated machine learning models. |
|
06-06-25 |
Toronto v. Montreal -5 |
|
10-28 |
Win
|
100 |
8 h 14 m |
Show
|
3* HEAVY HITTER on Montreal -5
All plays are made using sophisticated machine learning models. |
|
11-02-18 |
Toronto +6.5 v. Ottawa |
|
9-24 |
Loss |
-100 |
13 h 7 m |
Show
|
3* CFL Friday Night ATS ANNIHILATOR on Toronto + Great spot here to grab Toronto as a near touchdown dog against the Redblacks. This line is based a lot on the records of these two teams. The Argonauts are tied with Montreal for the worst record in the league at 4-13, while Ottawa is sitting on top the East standings at 10-7. The key here being that the Redblacks have already secured the East division title, so there's really no incentive to win here. A lot of the starters (best players) will be rested and kept out to avoid injury. I just think anytime you go into a game without a real sense of urgency, it's hard to win and I have to think the Argonauts would like to end this forgettable season on a high note. Either way, all we need is for them to keep it close. Take Toronto! |
|
10-12-18 |
Hamilton -7.5 v. Toronto |
|
34-20 |
Win
|
105 |
60 h 6 m |
Show
|
4* Hamilton/Toronto CFL GAME OF THE WEEK on Hamilton - I got no problem laying this number on the road with the Tiger-Cats on the road against the Argonauts in Friday's CFL action. Hamilton snapped a short two-game skid with a 40-10 blowout win over British Columbia at home in their last contest should have no problem beating Toronto by double-digits. The Argonauts have lost 6 straight and are just 2-4 ATS during this stretch. Two of those losses came at the hands of Hamilton. The Tiger-Cats won by 14 at home as a 9.5-point favorite and just 5 days later won by 11 as a 5-point dog at Toronto. No reason to expect anything different this time around, as there's just nothing for the Argonauts to play for at this point in the season. Tiger-Cats are 9-2 ATS in their last 11 road games after the 1st month of the season, while Toronto is just 1-8 ATS in their last 9 vs strong offensive teams that are averaging 7.2 or more yards/play after 9+ games and 5-15 ATS in their last 20 home games vs good defensive teams that are allowing 340 or less yards/game. Take Hamilton! |
|
10-08-18 |
Edmonton v. Saskatchewan -3 |
|
12-19 |
Win
|
100 |
1 h 28 m |
Show
|
3* LATE INFO INSIDER on Saskatchewan
No analysis on late info insiders due to time restrictions, but they factor in information we receive close to game time. This might be injuries, starting lineups, or weather. These profitable situations are only available to long term subscribers. |
