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Jimmy Boyd CFL Picks

Date	Match Up	Rating	Score	Result	Profit	Lead Time	Analysis
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.
11-08-25	Montreal -125 v. Hamilton	Top	19-16	Win	100	115 h 56 m	Show
5* NO BRAINER on Montreal -125 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.
10-25-25	Montreal v. Winnipeg UNDER 49.5	Top	10-19	Win	100	27 h 9 m	Show
5* NO BRAINER on Montreal/Winnipeg: under 49½ 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.
10-11-25	Calgary v. Hamilton -130	Top	37-20	Loss	-130	99 h 27 m	Show
5* NO BRAINER on Hamilton -130 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.
10-03-25	Saskatchewan v. Ottawa +165	Top	20-13	Loss	-100	31 h 43 m	Show
5* NO BRAINER on Ottawa +165 All plays are made using sophisticated machine learning models.
09-27-25	Hamilton v. Winnipeg -110	Top	3-40	Win	100	97 h 20 m	Show
5* NO BRAINER on Winnipeg -110 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.
09-20-25	Winnipeg v. Ottawa -125	Top	26-18	Loss	-125	91 h 29 m	Show
5* NO BRAINER on Ottawa -125 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.
09-13-25	Edmonton Elks +170 v. Toronto	Top	30-31	Loss	-100	64 h 44 m	Show
5* NO BRAINER on Edmonton Elks +170 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.
09-06-25	Hamilton -170 v. Montreal	Top	26-9	Win	100	71 h 58 m	Show
5* NO BRAINER on Hamilton -170 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.
09-01-25	Toronto v. Hamilton OVER 56		35-33	Win	100	22 h 55 m	Show
4* VEGAS INSIDER on Toronto/Hamilton: over 56 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.
08-23-25	BC -175 v. Toronto	Top	34-52	Loss	-175	46 h 28 m	Show
5* NO BRAINER on BC -175 All plays are made using sophisticated machine learning models.
08-22-25	Edmonton Elks -150 v. Ottawa	Top	30-20	Win	100	73 h 59 m	Show
5* NO BRAINER on Edmonton Elks -150 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.
08-15-25	Toronto v. Edmonton Elks -140	Top	20-28	Win	100	72 h 29 m	Show
5* NO BRAINER on Edmonton Elks -140 All plays are made using sophisticated machine learning models.
08-07-25	BC +155 v. Hamilton	Top	41-38	Win	155	32 h 57 m	Show
5* NO BRAINER on BC +155 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.
07-26-25	Winnipeg -145 v. Toronto	Top	17-31	Loss	-145	101 h 55 m	Show
5* NO BRAINER on Winnipeg -145 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.
07-20-25	Hamilton -125 v. Ottawa	Top	30-15	Win	100	23 h 26 m	Show
5* NO BRAINER on Hamilton -125 All plays are made using sophisticated machine learning models.
07-19-25	Saskatchewan v. BC +100	Top	33-27	Loss	-100	97 h 59 m	Show
5* NO BRAINER on BC +100 All plays are made using sophisticated machine learning models.
07-18-25	Calgary v. Winnipeg OVER 50	Top	41-20	Win	100	10 h 14 m	Show
5* NO BRAINER on Calgary/Winnipeg: over 50 All plays are made using sophisticated machine learning models.
07-13-25	BC -142 v. Edmonton Elks	Top	32-14	Win	100	104 h 29 m	Show
5* NO BRAINER on BC -142 All plays are made using sophisticated machine learning models.
07-12-25	Ottawa v. Hamilton OVER 54.5	Top	20-23	Loss	-110	34 h 40 m	Show
5* NO BRAINER on Ottawa/Hamilton: over 54½ 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.
07-05-25	BC +190 v. Montreal	Top	21-20	Win	190	80 h 47 m	Show
5* NO BRAINER on BC +190 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.
07-03-25	Winnipeg -166 v. Calgary	Top	16-37	Loss	-166	35 h 26 m	Show
5* NO BRAINER on Winnipeg -166 All plays are made using sophisticated machine learning models.
06-29-25	Toronto +135 v. Ottawa	Top	29-16	Win	135	101 h 41 m	Show
5* NO BRAINER on Toronto +135 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.
06-21-25	Winnipeg -145 v. BC	Top	27-14	Win	100	92 h 44 m	Show
5* NO BRAINER on Winnipeg -145 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.
10-08-21	Edmonton Elks v. Winnipeg OVER 46		3-30	Loss	-110	8 h 39 m	Show
4* MAJOR on Edmonton Elks/Winnipeg over 46 -110 All plays are made using sophisticated machine learning models.
11-03-18	Montreal v. Hamilton OVER 48.5		30-28	Win	100	2 h 60 m	Show
3* LATE INFO INSIDER on over 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.
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.

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