We worked out the math to implement a prediction model we call TREND-SEARCH™. Our math model is based on the best subset of trends from a superset defined in our data sets. The math model is applied to each matchup to find the team that matches the selected trends. The TREND-SEARCH math model is 100% objective and quantitative; it incorporates no subjective opinions or assumptions about teams, players, or matchups. Associated with every TREND-SEARCH pick is a confidence rating of 1 to 5 stars.
Projcted Team is | Correct | Wrong | Push | Pct |
---|---|---|---|---|
Favorite ATS | 0 | 0 | 0 | 0 |
Underdog ATS | 0 | 0 | 0 | 0 |
Even ATS | 0 | 0 | 0 | 0 |
Home ATS | 0 | 0 | 0 | 0 |
Home Dog ATS | 0 | 0 | 0 | 0 |
Overall | 0 | 0 | 0 | 0 |
Projected Team Rated As | Correct | Wrong | Push | Pct |
---|---|---|---|---|
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0 | 0 | 0 | 0 |
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0 | 0 | 0 | 0 |
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0 | 0 | 0 | 0 |
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0 | 0 | 0 | 0 |
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0 | 0 | 0 | 0 |
Date | Week | Day | Visitor | Score | Home | Score | Line | Projected | Actual | Rating | Result | Margin |
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