Here's a comparison of just mere statistics which after summarizing reveal potential of winning.I don't have track record just testing basic system and giving some matchup information in case you're lazy. Let's see how it goes. Inj- Latest injuries. How many players got injured last week. L4 - Last 5 meetings HF - Home field record and away record of opponent overall last 8 games Scr - Overall scoring last 5 games. Points made / Points Allowed HRs - Home runs allowed.Last 3 games Opp - Performance comparison against the same latest opponents
Here's a comparison of just mere statistics which after summarizing reveal potential of winning.I don't have track record just testing basic system and giving some matchup information in case you're lazy. Let's see how it goes. Inj- Latest injuries. How many players got injured last week. L4 - Last 5 meetings HF - Home field record and away record of opponent overall last 8 games Scr - Overall scoring last 5 games. Points made / Points Allowed HRs - Home runs allowed.Last 3 games Opp - Performance comparison against the same latest opponents
The fact that there is overwelming disparity in your statistical results between each of the two opposing teams which contrasts markedly with the Vegas line values deems your statistical analysis flawed IMO. But GL.
The fact that there is overwelming disparity in your statistical results between each of the two opposing teams which contrasts markedly with the Vegas line values deems your statistical analysis flawed IMO. But GL.
I can't find in your numerical data, how for instance, Baltimore is 61%. Is it because of Home and Away record difference and performance against similar opponents? When you have track recorded what works and what doesn't over at least the course of a season and made adjustments inc adding and deleting criteria where necessary, you might start making headway. Then when you have fallen upon something thats worthwhile (which will never happen, because you will be forever making adjustments, tweaking it here and there), the last thing you will want to do is share it with the whole world. It's your baby Haha. It's how the data gels together, rather than the accentuation of any one piece of criteria.
I can't find in your numerical data, how for instance, Baltimore is 61%. Is it because of Home and Away record difference and performance against similar opponents? When you have track recorded what works and what doesn't over at least the course of a season and made adjustments inc adding and deleting criteria where necessary, you might start making headway. Then when you have fallen upon something thats worthwhile (which will never happen, because you will be forever making adjustments, tweaking it here and there), the last thing you will want to do is share it with the whole world. It's your baby Haha. It's how the data gels together, rather than the accentuation of any one piece of criteria.
All of the teams that had over 60% lost including Brewers. Maybe high % shows they are fed up and won't reach any higher. Teams with lower % shows how hungry they are and things are about to shift back into status quo. Silly me I should have figured that.
All of the teams that had over 60% lost including Brewers. Maybe high % shows they are fed up and won't reach any higher. Teams with lower % shows how hungry they are and things are about to shift back into status quo. Silly me I should have figured that.
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