Welcome to weekly Sunday Statistics Post.
I’m pretty adamant that people shouldn’t follow most systems because they obscure data, not showing a complete record of their wins and losses. I’ve worked in data analysis for 20+ years, so I’m a big proponent about being honest about the data. Winning or losing streaks, anyone that follows this system (or is thinking about it) should know exactly what’s going on.
We’re now just over 5 weeks into the baseball season and I think we’ve hit our first losing streak. We may even have to go into our starting bankroll soon, which we haven’t had to touch since day 3 of the season, I believe. Not to worry, we’ll keep staking intelligently and we’ll be ready for when we get some underdog wins.
Anyway, on to our weekly stats!
It’s good to see how we’re doing overall. When I tested this system using the 2018 MLB season, the ROI hovered around 10% (with obvious fluctuations as underdogs had mini-winning and losing streaks), so I expect the same will happen this year.
TABLES: Spends, Profit/Loss, ROI:
How the system has done the past 7 days, as well as our year-to-date totals for invested, unit balance, and ROI:
It’s good to look longer term, so this table shows rolling totals for the last few 30-day periods:
GRAPHS: Overall Unit Balance vs Daily Units Spent:
Since the start of the MLB season:
GRAPHS: Daily Unit Profit or Loss:
Waterfall chart of the season:
GRAPHS: Daily Return on Investment %:
Our season ROI as the season has progressed:
Extra Graphs not in the Daily Email:
Still developing these, and will add more as the MLB season progresses (and as baseball ends and hockey and basketball seasons start), so we can see more and more data of what is happening over the long term.
Now that we’re over 5 weeks into baseball, let’s compile how our system is doing week to week instead of just day to day. I’ll eventually be adding monthly summaries to this section.
We had a good week 5:
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.
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).
Ideally, most of our baseball season (and hockey and basketball in the fall/winter) will look like the below chart - high increases some weeks, with low decreases when we have a bad week.
How is each MLB team performing for us?
I’ve included a few tables below that show how much profit (or loss) we’ve made from each team.
Here are our top 10 profitable teams (so far), ranked by ROI%.
And here are our top 10 teams (so far), ranked by win % (of the games we’ve bet on them):
And here are our top 10 teams (so far) ranked by # of units won for us:
And finally, here are our top 10 teams ranked by how often we’ve bet on them (ie, who are big underdogs more than anyone else this season?):
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
Season long trends (for instance, for the 6 big underdogs we bet on every day, how often does it happen that none win? That only 1 wins? 2? 4? ALL?)
Line data - I’m very interested in exploring this… this will ideally show, at every betting line, how much we’ve bet, won or lost, etc. with this system
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).