Hi everyone,

Welcome to the weekly Sunday Statistics Post.

2019 is looking to be a season (if the first 2 months are any guide) where faves win more than expected. Gains with betting with underdogs are still possible, but it means gains may be slower and that I’m adding more aggressive models into this system to take more advantage when underdogs *do* win (even if it’s just 1 or 2 out of 6 daily).

SEASON GRAPH AND STATS:

Anyway, on to our weekly stats!

WEEKLY DATA

Units, profits and losses:

Next, the same thing, but in a “Waterfall Chart” format, which are handy for seeing gains vs losses and how they make up the total.

ROI:

Now, Return on Investment is one of my favorite stats with any system, because it tells you in one number how well the system is doing. This is why I share it (and maybe why other systems don’t? When I look at other systems, I always have a hard time finding detailed performance data and ROI).

NUMBERS OF WINS EACH DAY:

I’ve updated our new graph for this week - more of a table-graph hybrid, I guess.

It shows how often we get different numbers of wins from our 6 underdogs.

69% of the days so far this MLB season have had at least 2 wins from our 6 underdogs. This is down from 73% last week.

With the right staking, even 2 wins is enough to break even or make a small profit on a day.

Future Graphs:

I have a few more interesting graphs planned for future editions of this Sunday Stats post:

Longer term data, as we get to the 60, and 90-day marks of the MLB season

Basketball & Hockey

As the baseball season progresses and we get closer to the fall, Top Dogs will have basketball and hockey stuff here… I’ve been collecting all kinds of data during the 2018-19 hockey and basketball seasons and am developing some great systems for them (so we can continue our profit-making in the baseball off-season). I’ll be sharing a lot of analysis and results from my testing.

See you next Sunday (or tomorrow morning if you’re a subscriber).

OTHER SYSTEMS

I’ll be populating this section with other systems I’m recommending or testing.